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Blockchain and Data Monetization: The Next Big Thing in the Automotive Industry?

#artificialintelligence

The automotive sector will see more transformation in the coming decade than in the last 50 years combined. Although the industry is already adapting to trends such as electric mobility, autonomous vehicles, and digitalization, the unprecedented pace of change shows no sign of slowing. As income streams switch away from hardware to software-based solutions, and blockchain-powered marketplaces for buying and selling data become increasingly prominent, we predict that data monetization will be a key revenue driver for the automotive industry in the future. By 2027, big data is expected to be worth up to one trillion dollars. Over the same timeframe, technologies based on the blockchain (a highly secure register of digital financial transactions that works without any central authority) may have become so ubiquitous that they store more than ten percent of global GDP.


Unassisted AI Video Surveillance Techniques Help Numerous Verticals to Scale – ReadWrite

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Data has always been a business game changer as a rear view indicator. It's been defined as the new oil. Most of the time, data gets collected, stored, and then analyzed to find the right insights through multiple sets of tools. With this cumbersome approach, reaching those critical data points requires considerable time. In the process, opportunities are lost and greater costs are accumulated.


Honda Gets Ready For The 4th Industrial Revolution By Using AI, Big Data And Robots

Forbes Technology

Although the Japanese company Honda is widely known as one of the largest automobile manufacturers in the world and also the largest manufacturer of motorcycles, it is increasingly on the front edge of technological innovation outside the automotive world. The company's investment in research and development landed it on the "Top 20 R&D Spenders" list that includes five other automakers but representatives from other industries as well. Based upon the innovations Honda has shared publicly, it's using some of this R&D budget to get ready for the 4th industrial revolution by using AI and big data to not only design safer and more personalized autos, but also create robots. With the tremendous amount of data that's created from a wide variety of sources including sensors on cars, customer surveys, smartphones and social media, Honda's research and development team uses data analytics tools to comb through data sets in order to gain insights it can incorporate into future auto designs. As the company's big data maturity has increased, its engineers are learning to work with and leverage data, that had previously been to cumbersome to find meaning, thanks to the assistance of big data technology and analytics tools.


Honda Gets Ready For The 4th Industrial Revolution By Using AI, Big Data And Robots

#artificialintelligence

Although the Japanese company Honda is widely known as one of the largest automobile manufacturers in the world and also the largest manufacturer of motorcycles, it is increasingly on the front edge of technological innovation outside the automotive world. The company's investment in research and development landed it on the "Top 20 R&D Spenders" list that includes five other automakers but representatives from other industries as well. Based upon the innovations Honda has shared publicly, it's using some of this R&D budget to get ready for the 4th industrial revolution by using AI and big data to not only design safer and more personalized autos, but also create robots. With the tremendous amount of data that's created from a wide variety of sources including sensors on cars, customer surveys, smartphones and social media, Honda's research and development team uses data analytics tools to comb through data sets in order to gain insights it can incorporate into future auto designs. As the company's big data maturity has increased, its engineers are learning to work with and leverage data, that had previously been to cumbersome to find meaning, thanks to the assistance of big data technology and analytics tools.


Can AI Help Save Our Planet?

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It's no secret that our planet is struggling with the pressures humans are putting it under. Discarding plastic in oceans, burning fuels and using an abundance of petrol are only some of the ways we're melting the ice caps and thinning the ozone layer. Warnings from experts are becoming more severe and many organisations are working on methods to help combat global warming. Microsoft has just announced that they are broadening their AI for Earth program and'investing $50 million over the next five years to put artificial intelligence technology in the hands of individuals and organisations around the world who are working to protect our planet.' With advances in artificial intelligence, we can learn more and more about the planet and are able to identify elements such as the conditions of the oceans, the well-being of wildlife, and the pollution levels of the air to help us make informed decisions on how to reduce this.


How two Indian startups are using big data to get ahead--and stay there

#artificialintelligence

Inside a glass-fronted four-storied building in the heart of Gurugram, 150 engineers are continuously tracking a fleet of 2,500 trucks as they criss-cross the country, travelling thousands of kilometres every day. Since it launched in 2014, Rivigo has built its business by solving complex logistics problems in a country with a huge infrastructure deficit. The company has devised a relay model, wherein a driver works by handing over the truck to another driver at designated pit-stops. The driver then drives the vehicle back to where he came from. This has helped Rivigo bring down the travel time required to move goods significantly.


Machine Learning and Big Data -- Real-World Applications

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The amount of data that companies collect and store today is staggering. However, it's not the volume of data being gathered that's most important -- it's what companies are doing with that data that matters most. With both unstructured and structured data streaming in from everywhere at an unprecedented rate, making connections and extracting insight is complicated work that can quickly spiral out of control. Modern businesses know that big data is powerful, but they're starting to realize that it's not nearly as useful as when it's paired with intelligent automation. With massive computational power, ML systems help companies manage, analyze, and use their data far more successfully than ever before.


Internet of Things (IoT) to Transform the Digital Landscape

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The Internet of things (IoT) market is expected a bullish run owing to increasing integration of technology in personal and professional lives. Adoption of networking technologies such as 4G, light fidelity (Li-Fi), and 5G and heavy use of Internet by consumers are expected to propel development of IoT devices. Need for automation in organizations to minimize labor costs have led to subsequent investments in R&D by prominent companies such as Dell and Intel (INTC). Advent of connected devices due to mainstream proliferation of smartphones and tablets has led to consistent investments by venture capital firms. High potential of IoT to assist in daily tasks of customers is one of its major drivers.


Big data and technology for mining applications

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Mining is all about profitability. But tracking that can prove tricky, particularly when you're relying on people on the ground to report on activities. It all comes down to big data: the more data you can collect, the more information you have at your disposal, and the more insight you have into the business. IOT technology is paving the way for mine optimisation initiatives, says Johan Pietersen, MD of Virtualscape Technologies. "Mines are looking for the ability to gather data for various purposes, including improvements in efficiency and safety.


Hyundai and Verisk Partner on Data Sharing and Might Save You Money on Insurance

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Hyundai is delving into the realm of big data. The Korean automaker is partnering with Verisk, a data analytics firm, to offer usage-based insurance to its customers. The scheme could help Hyundai owners save money on insurance, but only if they agree to share their data. Vehicles equipped with Hyundai's BlueLink telematics platform will be able to send data to the Verisk Data Exchange, a massive automotive-data stockpile that insurance companies use to determine rates. Owners who opt into the program will get a Verisk Driving Score based on their driving behavior.