The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unpreventable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, beginning with wise head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immobilized before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer assets designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of mechanisms like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unavoidable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, kicking off with clever head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be stationary before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer bod designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of mechanisms like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, kicking off with clever head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immobile before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technics like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unpreventable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, commencing with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be motionless before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer assets designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to produce it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, beginning with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be stationary before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of mechanisms like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unavoidable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, embarking with clever head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immovable before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technics like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should commence appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, embarking with wise head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immovable before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer bod designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should embark appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unavoidable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, beginning with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immovable before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer assets designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, commencing with wise head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immovable before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer assets designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technics like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unavoidable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an arousing year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, beginning with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be stationary before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should embark appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, embarking with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be immobile before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to show up in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should begin appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unpreventable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial coerces. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, commencing with clever head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be motionless before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer bod designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technics like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to produce it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should embark appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are inescapable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to show up in 2017, kicking off with brainy head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be motionless before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enhancing safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer assets designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to produce it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should embark appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

The top seven trends in the auto industry for 2017, TechCrunch

The top seven trends in the auto industry for 2017

Mahbubul Alam is the chief technology officer of Movimento.

In an industry such as automotive where technology is pouring in at an unprecedented rate, incipient trends are multiplying like vehicles on the roadways at rush hour. Some trends for two thousand seventeen are unpreventable given developments in latest years while others are more disruptive, bleeding into numerous areas. Consider how Uber disrupted the taxi market and fundamentally switched the transportation sector.

Trends emerge very first among early adopters so watching their behavior is a good crystal ball. The good news for automotive OEMs and the vast array of related companies involved in this business is that there will likely be more funding available next year to develop fresh technologies embraced by these early adopters and refine current ones due to political and financial compels. This should make two thousand seventeen an titillating year for the industry – and therefore, for consumers.

The most provocative trends are those on the disruptive side. What will we see in that arena in 2017?

Auto suppliers detect sizzling blockchain

A super-hot technology now getting intense attention in the tech space is blockchain; the very first auto suppliers will begin using it in 2017.

In the automotive business, where the supply chain – with all its potential for counterfeit parts and related issues – is so significant, blockchain technology can create a trusted, accurate protocol for this supply chain.

This establishes a system of checks and balances for the entire supply chain community, with cloud servers validating and recording everything.

Augmented reality will assist driver safety and influence areas from designing to repair

While virtual reality creates a simulated world, augmented reality adds specific, created elements to the real world via technology. Perhaps the most prominent example of AR is the addictive Pokémon GO game for smartphones.

In the auto industry, some AR solutions should begin to emerge in 2017, beginning with wise head-up displays and infotainment displays followed by apps for repair shops.

Cars are complicated machines, so AR can help mechanics visualize what needs to be stationary before touching a wrench. Another area for AR is in designing or selecting a car where various vehicle elements – from the overall form to the seats and interior features – can be pre-seen, thus saving extensive time and money. Certainly, prototyping isn’t anything fresh in the automotive sector, but AR takes it to a entire fresh level.

Saving money and enlargening safety through 3D printing

Next year, 3D printing will begin to emerge in other areas, such as basic car construction done by mainstream carmakers and fresh players like Local Motors, a low-volume manufacturer of open-source vehicles. After all, 3D printing makes it cost-effective to build things, challenging today’s fundamental treatment to car design.

Presently, cars are designed to withstand three, four or five crashes and last perhaps seven and a half years. But 3D printing enables the industry to build a car on a solid chassis with an outer figure designed for a single crash, then cost effectively substitute that while leaving the basic vehicle skeleton/structure in place. It could disrupt our concept of accident repair.

Autonomous vehicles proceed to drive the industry

Autonomous capabilities like self-parking and adaptive cruise control will be available from virtually every auto OEM in fresh vehicles.

This movement is unstoppable and, while driverless cars themselves won’t populate the road in 2017, the direction seems clear. Don’t leave behind that Ford already announced its plan to mass-produce autonomous vehicles by 2021. Tesla and Google are also making inroads into producing road-legal driverless cars.

Just one example of a big step forward next year will be some high-profile trials of technologies like platooning, in which convoys of driverless vehicles go after each other to reduce congestion. Let’s hope that the Florida incident involving Tesla remains an outlier in the evolution toward a driverless future.

Machine learning-based vehicle cybersecurity

The cat-and-mouse game that defines existing vehicle security features could use an overhaul and the latest resurgence in artificial intelligence technologies is just the thing to supply it.

Today, the networks on wheels that are modern cars use anti-virus and other common software security technologies that identify known threats and attempt to quarantine some of the unknown ones. But this isn’t ideal in a dynamic area where fresh threats continually pop up.

Machine learning in the AI space lets computers learn without being explicitly programmed, getting more adept when exposed to fresh data. These cybersecurity systems are self-adapting and self-defending, creating ways to guard against fresh threats without any humans needing to program the system to identify specific incoming trouble.

Among early adopters, these solutions should commence appearing next year.

Collaborative monetization to see exponential growth

While it goes in a different direction than the auto industry’s traditional go-it-alone treatment of vertical integration years ago, today’s world requests that auto companies collaborate in areas outside their space and seek ways to make fresh profits from disrupting trends.

Next year will see more of such activities, like using car- and ride- sharing as a means to create fresh residual value in their cars and engage with a fresh consumer demographic.

Related movie:

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