Welcome!

Big Data Journal Authors: Pat Romanski, Elizabeth White, Adrian Bridgwater, Liz McMillan, Kevin Benedict

Related Topics: IoT Expo, Java, Wireless, Linux, Cloud Expo, Big Data Journal

IoT Expo: Article

The Social and Economic Impact of Code Halos and Smart Cars

A few ways that driverless smart car could impact our lives

Last week I attended and spoke at the Internet of @ThingsExpo, in NYC.  I was very excited to learn all about the latest developments in this space, and to share our research from the Center for the Future of Work at Cognizant.  If you consider all the mobile devices and IoT sensors that are collecting and feeding data (Code Halos) into giant databases that can be analyzed around the world, then you can image the plethora of new business models and business services that will ultimately spin out of it.

My colleague, Peter Abatan, Program Manager, Mobility Services at Cognizant, has spent some time pondering connected smart cars and shares his predictions and insights with us today.

Google leads the way in terms of autonomous driverless cars. Their vehicles have altogether logged over 700,000 autonomous miles, and there is still a lot more to do in terms of development. The latest developments are of a model without a brake, gas pedal, or steering wheel making it a 100% autonomous vehicle.

Tesla has achieved a great deal to overcome the barriers of running electric cars over long distances (the current Tesla Model S can do over 250 miles on a single charge). They are also leading the way in making cars that are more software driven. With all these rapid developments in the automobile industry, it is quickly becoming apparent there will be a significant social impact on all of our lives.

Parking: When you commute into work you will never need to worry about parking. Your driverless car will drop you off at your office, and go back to pick the children up for school, or better still earn you some income by running as a taxi for fare. The implication of this is that local council authorities would have to find new sources of revenue as income from parking drops, it may be that in countries like the UK where the road tax goes to central government it may have to be redirected to local government. Airports and other businesses that derive income from parking are likely to need to find alternative revenue streams.

Car Ownership: Expect the car ownership model to change significantly. In this case a group rather than the individual would own the driverless smart car. In other words 2 or more people would leave their street in the morning all heading in the same direction for the next 20 miles, but passenger "A" gets off at a driverless smart car terminal to join another smart car that is heading in his direction of work, which is another 15 miles from the current terminal. The journey home at the end of the day heads in the reverse direction, where Passenger "A" joins his neighbours at the smart car terminal to make his way back home. This model results in a situation where you never need to own a car again, instead you rent what you use. Also if you have to work late, the driverless smart car can leave your street to pick you up at the office. Expect companies like Zipcar to be at the forefront of this new business model

Change in Work Patterns: The smart driverless car would become a workstation where you can work normally as you would in the office, so instead of starting work as soon as you step into the office, the driverless smart car is your office or a part of your office. Hence, if you have to travel 2 hours to work, and 2 hours back, you only need to spend 4 hours in the office if you are contracted to do 8 hours on a daily basis. Expect, the driverless smart car to have all the gadgets like superfast broadband, video conferencing, electronic wipe boards, telephones, etc. to make work seamless. Expect the configuration of the seating arrangement in the smart car to be flexible enough to host meetings, and at the same time allow for privacy if needed.

Connected Smart Cars: Smart cars can be connected to each other in every way. For example, if you have to take 2 or more cars to arrive at your destination you can program your journey such that you are not left waiting between connections. Smart cars would enable you to connect with your home, your office and other smart devices, this means there is never a time that you would not be reachable, unless you do not want to be contacted.

Car Insurance: With the Google car, so far having no accidents related to autonomous driving, it is hard to see how insurance companies can maintain their current economic model going forward. These cars are making millions of decisions per second that the possibility, and are likely to have a far better safety record than humans currently do. On the other hand, if the system is hacked it could be that Google or whoever owns the software is held responsible for any accidents. At the moment it is still too early to determine what the fate of motor insurance companies will ultimately be.

Less Time on the Road: Expect smart cars to do most of the running around for us. So on weekends when we usually visit Wal-Mart or Tesco to do our grocery shopping, we can simply send the driverless smart car and our shopping can be delivered from a conveyor belt into the car. Will this reduce the need for retail floor space as less people visit the shops?  It seems likely as retailers are already trying to adjust to rapidly changing consumer behaviors as a result of online and mobile commerce. Other activities like dropping the children off at their weekend activities may not require a parent or guardian to be there, because they can be monitored via live video feeds. All this means means potentially more discretionary time.

More Accurate Travel Time Estimates: The driverless smart car through predictive analysis on road conditions would be able to let you know when to leave a location so you can arrive at a destination on time. By the time the driverless smart car becomes prevalent on our streets it would be able to communicate with other smart cars to make decisions on how to manage the traffic such that it always flows at a steady rate.

Predictive analysis used in smart cars also means these machines can predict the travel rate, the current weather conditions and use the information obtained to regulate speed in order to reduce the possibility of a congestion happening. The use of predictive analysis means you can forecast the probability of getting to work or reaching your travel destination on any particular day.

Connected Diagnostics: The driverless smart car would enable owners to see their car's performance and maintenance needs; the manufacturer or service provider could also alert the car owner of any maintenance issues. Any software anomalies or upgrades can be corrected through wireless technology. Fewer moving and vibrating parts mean that the total cost of ownership falls.

These are just a few ways that driverless smart car could impact our lives. While it is rumored that Google may not build their own car commercially, but sell its technology to other car companies, it will not be long before the driverless smart car becomes a commercial reality.

**********************************
Kevin Benedict Writer, Speaker, Editor Senior Analyst, Digital Transformation, EBA, Center for the Future of Work Cognizant View my profile on LinkedIn Learn about mobile strategies at MobileEnterpriseStrategies.com Follow me on Twitter @krbenedict Browse the Mobile Solution Directory Join the Linkedin Group Strategic Enterprise Mobility Join the Google+ Community Mobile Enterprise Strategies Recommended Strategy Book Code Halos Recommended iPad App Code Halos for iPads

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

More Stories By Kevin Benedict

Kevin Benedict is the Senior Analyst for Digital Transformation at Cognizant, a writer, speaker and SAP Mentor Alumnus. Follow him on Twitter @krbenedict. He is a popular speaker around the world on the topic of digital transformation and enterprise mobility. He maintains a busy schedule researching, writing and speaking at events in North America, Asia and Europe. He has over 25 years of experience working in the enterprise IT solutions industry.

Latest Stories from Big Data Journal
Enthusiasm for the Internet of Things has reached an all-time high. In 2013 alone, venture capitalists spent more than $1 billion dollars investing in the IoT space. With “smart” appliances and devices, IoT covers wearable smart devices, cloud services to hardware companies. Nest, a Google company, detects temperatures inside homes and automatically adjusts it by tracking its user’s habit. These technologies are quickly developing and with it come challenges such as bridging infrastructure gaps,...
Predicted by Gartner to add $1.9 trillion to the global economy by 2020, the Internet of Everything (IoE) is based on the idea that devices, systems and services will connect in simple, transparent ways, enabling seamless interactions among devices across brands and sectors. As this vision unfolds, it is clear that no single company can accomplish the level of interoperability required to support the horizontal aspects of the IoE. The AllSeen Alliance, announced in December 2013, was formed wi...
Goodness there is a lot of talk about cloud computing. This ‘talk and chatter’ is part of the problem, i.e., we look at it, we prod it and we might even test it out – but do we get down to practical implementation, deployment and (if you happen to be a fan of the term) actual cloud ‘rollout’ today? Cloud offers the promise of a new era they say – and a new style of IT at that. But this again is the problem and we know that cloud can only deliver on the promises it makes if it is part of a well...
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, B...
SYS-CON Events announced today that Connected Data, the creator of Transporter, the world’s first peer-to-peer private cloud storage device, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Connected Data is the creator of Transporter, the world’s first peer-to-peer private cloud storage device. Connected Data is focused on providing elegantly designed solutions for consumers, professi...
Cisco on Wedesday announced its intent to acquire privately held Metacloud. Based in Pasadena, Calif., Metacloud deploys and operates private clouds for global organizations with a unique OpenStack-as-a-Service model that delivers and remotely operates production-ready private clouds in a customer's data center. Metacloud's OpenStack-based cloud platform will accelerate Cisco's strategy to build the world's largest global Intercloud, a network of clouds, together with key partners to address cu...
I write and study often on the subject of digital transformation - the digital transformation of industries, markets, products, business models, etc. In brief, digital transformation is about the impact that collected and analyzed data can have when used to enhance business processes and workflows. If Amazon knows your preferences for particular books and films based upon captured data, then they can apply analytics to predict related books and films that you may like. This improves sales. T...
Technology is enabling a new approach to collecting and using data. This approach, commonly referred to as the “Internet of Things” (IoT), enables businesses to use real-time data from all sorts of things including machines, devices and sensors to make better decisions, improve customer service, and lower the risk in the creation of new revenue opportunities. In his session at Internet of @ThingsExpo, Dave Wagstaff, Vice President and Chief Architect at BSQUARE Corporation, will discuss the real...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is n...
When one expects instantaneous response from video generated on the internet, lots of invisible problems have to be overcome. In his session at 6th Big Data Expo®, Tom Paquin, EVP and Chief Technology Officer at OnLive, to discuss how to overcome these problems. A Silicon Valley veteran, Tom Paquin provides vision, expertise and leadership to the technology research and development effort at OnLive as EVP and Chief Technology Officer. With more than 20 years of management experience at lead...