Click here to close now.


Blog Feed Post

The Social and Economic Impact of Code Halos and Smart Cars

This week I am attending and speaking at the Things Expo, in NYC.  I am very excited to learn all about the latest developments in this space.  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.
Peter Abatan

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
Follow me on Twitter @krbenedict
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.

Read the original blog entry...

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
In his General Session at 17th Cloud Expo, Bruce Swann, Senior Product Marketing Manager for Adobe Campaign, explored the key ingredients of cross-channel marketing in a digital world. Learn how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects).
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new da...
In recent years, at least 40% of companies using cloud applications have experienced data loss. One of the best prevention against cloud data loss is backing up your cloud data. In his General Session at 17th Cloud Expo, Sam McIntyre, Partner Enablement Specialist at eFolder, presented how organizations can use eFolder Cloudfinder to automate backups of cloud application data. He also demonstrated how easy it is to search and restore cloud application data using Cloudfinder.
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, exploreed the current state of IoT connectivity and review key trends and t...
Two weeks ago (November 3-5), I attended the Cloud Expo Silicon Valley as a speaker, where I presented on the security and privacy due diligence requirements for cloud solutions. Cloud security is a topical issue for every CIO, CISO, and technology buyer. Decision-makers are always looking for insights on how to mitigate the security risks of implementing and using cloud solutions. Based on the presentation topics covered at the conference, as well as the general discussions heard between sessi...
We all know that data growth is exploding and storage budgets are shrinking. Instead of showing you charts on about how much data there is, in his General Session at 17th Cloud Expo, Scott Cleland, Senior Director of Product Marketing at HGST, showed how to capture all of your data in one place. After you have your data under control, you can then analyze it in one place, saving time and resources.
With all the incredible momentum behind the Internet of Things (IoT) industry, it is easy to forget that not a single CEO wakes up and wonders if “my IoT is broken.” What they wonder is if they are making the right decisions to do all they can to increase revenue, decrease costs, and improve customer experience – effectively the same challenges they have always had in growing their business. The exciting thing about the IoT industry is now these decisions can be better, faster, and smarter. Now ...
The cloud. Like a comic book superhero, there seems to be no problem it can’t fix or cost it can’t slash. Yet making the transition is not always easy and production environments are still largely on premise. Taking some practical and sensible steps to reduce risk can also help provide a basis for a successful cloud transition. A plethora of surveys from the likes of IDG and Gartner show that more than 70 percent of enterprises have deployed at least one or more cloud application or workload. Y...
Continuous processes around the development and deployment of applications are both impacted by -- and a benefit to -- the Internet of Things trend. To help better understand the relationship between DevOps and a plethora of new end-devices and data please welcome Gary Gruver, consultant, author and a former IT executive who has led many large-scale IT transformation projects, and John Jeremiah, Technology Evangelist at Hewlett Packard Enterprise (HPE), on Twitter at @j_jeremiah. The discussion...
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true ...
Microservices are a very exciting architectural approach that many organizations are looking to as a way to accelerate innovation. Microservices promise to allow teams to move away from monolithic "ball of mud" systems, but the reality is that, in the vast majority of organizations, different projects and technologies will continue to be developed at different speeds. How to handle the dependencies between these disparate systems with different iteration cycles? Consider the "canoncial problem"...
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound...
Container technology is shaping the future of DevOps and it’s also changing the way organizations think about application development. With the rise of mobile applications in the enterprise, businesses are abandoning year-long development cycles and embracing technologies that enable rapid development and continuous deployment of apps. In his session at DevOps Summit, Kurt Collins, Developer Evangelist at, examined how Docker has evolved into a highly effective tool for application del...
PubNub has announced the release of BLOCKS, a set of customizable microservices that give developers a simple way to add code and deploy features for realtime apps.PubNub BLOCKS executes business logic directly on the data streaming through PubNub’s network without splitting it off to an intermediary server controlled by the customer. This revolutionary approach streamlines app development, reduces endpoint-to-endpoint latency, and allows apps to better leverage the enormous scalability of PubNu...