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In my book and previous posts I build a broad case for the importance of bigdata and AI in next-generation mobility , and provide several examples of data that is being collected, or can be collected, in a variety of transportation and logistics situations. Six Use Cases For Autonomous Vehicles.
Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Mobility Services Companies Constantly Exploit BigData.
Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Mobility Services Companies Constantly Exploit BigData.
Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience. Mobility Services Companies Constantly Exploit BigData.
The imperative to develop green innovations coupled with the emergence of various technologies that can improve transport services and customer experiences means that the transport industry is an incredibly fertile ground for innovation. One thing that carbon has shown us is that pressure makes diamonds.
In my book The BigData Opportunity In Our Driverless Future I identify two distinct value chains that have been established because of the car ownership-centric model that has been dominant for the past 70+ years: the vehicle manufacturing and sale value chain , and the vehicle use value chain.
In my book, The BigData Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including bigdata and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.
Furthermore trending technology such as AI and robotics challenge today’s market and Vanderlande’s business model. They used bigdata to control those self-driving vehicles and to speed up the process of sorting luggage. Basically, we didn’t focus on the technology straight away. And it actually helped. Take-away #4 Have.
Furthermore trending technology such as AI and robotics challenge today’s market and Vanderlande’s business model. They used bigdata to control those self-driving vehicles and to speed up the process of sorting luggage. Basically, we didn’t focus on the technology straight away. And it actually helped. Take-away #4 Have.
The imperative to develop green innovations coupled with the emergence of various technologies that can improve transport services and customer experiences means that the transport industry is an incredibly fertile ground for innovation. One thing that carbon has shown us is that pressure makes diamonds.
More precisely, (not to mention, much more honestly), I recently had the privilege and opportunity to visit Stockholm, Sweden for Innovation Technology training at the offices of Innovation360 Group AB. The result is improved, expanded service abetted by sophisticated behind-the-scenes technology. I missed the Nobel Prize by a smidge.
Bigdata has the potential to revolutionize management. Simply put, because of bigdata, managers can measure, and hence know, radically more about their businesses, and directly translate that knowledge into improved decision making and performance. Case #1: Using BigData to Improve Predictions.
More precisely, (not to mention, much more honestly), I recently had the privilege and opportunity to visit Stockholm, Sweden for Innovation Technology training at the offices of Innovation360 Group AB. The result is improved, expanded service abetted by sophisticated behind-the-scenes technology. I missed the Nobel Prize by a smidge.
The bigdata revolution is upon us. Firms are scrambling to hire a new brand of analysts dubbed “data scientists,” and universities have responded to this demand by introducing data science courses into degrees ranging from computer science to business. vincent tsui FOR HBR. Predicting demand. Insight Center.
Eighteen years ago, five airline companies—Lufthansa, Air Canada, United Airlines, Thai Airways and Scandinavian Airlines—formed an alliance with a vision to offer better services to their customers. Even when dealing with any one airline, they could enjoy access to the resources of several airlines.
We expect the drone market to surge to nearly $7 billion by 2020 globally, driven by regulatory clarification, continuously decreasing component costs, and – most important– ongoing innovation that connects drone capabilities to big-data analytics. million in investment capital in just the past year.
Sensors, smartphones, tablets, wireless networks, and BigData are starting to transform transportation and infrastructure. In the case of the FAA and mobile technology, the slow-moving agency is trying its best to be nimbler. On the roads, new technology is growing in importance. Photo by Andrew Nguyen.
Information Technology Changes the Way You Compete" was a trailblazing HBR article by Warren McFarlan back in the early 1980s. It told how American Airlines and others had introduced systems to help their customers choose their products and services. These "channel" systems helped steer business to American Airlines.
Technologies exist that allow them to easily post a recommendation to their Facebook friends, LinkedIn connections, and Twitter followers. Think Southwest Airlines, which disrupted the entire airline industry by excelling in just a few value factors: cheap fares, friendly service, frequent flights and on-time departures.
At the end of each year, I apply a framework to surface the most important emerging trends in digital media and emerging technology for the year ahead. Where/how are people having difficulty with technology? Once it determined the best time for you to meet, it would help you purchase tickets and enter all the data into your calendar.
Studying the effectiveness of the words businesses use to talk to customers is tricky, but the rise of digital communications, social media, and bigdata is producing massive amounts of text that researchers can analyze and interpret using sophisticated new techniques. First, relate. Move from relating to solving.
While bigdata, analytics, artificial intelligence, and the internet of things garner the lion’s share of media attention, using data to its full potential is much more about management than it is about technology. Hedge funds and used car dealers use such data to create and leverage asymmetries.
This area of innovation is where mobile payment companies want to play, especially in markets where such technology is less than ubiquitous. For the uninitiated, Square offers two technologies — a card reader for merchants to use, which is called Register, and the other a mobile interface for customers to pay, which is called Wallet.
Since 2010 , big consumer brands such as NBC, Walgreens and Southwest Airlines have all launched major projects that center around gaming. Like it or not, gamification is on the rise. Because games make previously dry subjects , such as corporate training, more fun and engaging.
Companies, individuals, NGOs and other groups are now able to collaborate with the greater public, thanks to this revolutionary technology. Real-time technologies, artificial intelligence, and bigdata capabilities exponentiate the amount of information that can be collected for both short and long-term projects.
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