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How Lyft, Walmart, and Philips are Using AI to Transform Their Businesses - AI Trends

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This article is a follow up to my previous one talking about the rise of Artificial Intelligence in an Enterprise. In this article, I will talk about how enterprises in Transportation, Retail and Healthcare are transforming themselves using AI. The use cases vary from transforming back-office applications to bringing compassion back into healthcare to detecting fraud and into the future of autonomous cars. Although I talk about specific enterprises here, the use cases are pretty generic and horizontal. The fraud detection use case, for example, appeals to a large number of verticals where financial transactions and/or user behavior monitoring is essential, including eCommerce, financial and retail environments.


How Jaguar Land Rover Is Getting Ready For The 4th Industrial Revolution: AI & Autonomous Cars

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As the United Kingdom's largest automobile manufacturer and investor in research and development in the UK manufacturing sector, Jaguar Land Rover is the combination of two iconic British car brands--Jaguar that features luxury sports cars and sedans and Land Rover, maker of premium all-wheel-drive vehicles. These brands began in the middle of the 20th century and gained a reputation for innovation.


The Rise of Artificial Intelligence in Enterprise

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Depending on what news headline you have read, you may have perceived an Artificial Intelligence (AI) system as either an Alexa or Siri assistant that understands all your commands, a deep learning system that can recognize dog or a cat from image, a system that recommends personalized medicine, or an intelligent, overpowering machine that can overtake all human tasks and render humans useless. Few of these definitions can be termed as visionary, few fear mongering and rest of them being evolutionary. Last month, I was at Artificial Intelligence (AI) Summit 2018 in San Francisco. The event highlighted the state of AI business as it stands today and real-world examples from enterprises who are using AI to transform their business. I want to give a shout out to organizers of AI Summit – they did a fabulous job in bringing a highly diverse set of speakers across a variety of verticals.


The Morning Download: AI's Paint by Numbers

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A natural reaction today may be to chalk up the sale of a smudgy-looking portrait as the latest sign that AI, no longer satisfied with taking jobs, is now moving on to creating artwork and general AI is here and don't forget Skynet, etc. But leave it to Artnet, an art market website, to provide a clear description of Generative Adversarial Networks, an AI system of algorithms and two neural networks used to generate photorealistic images. It also put artificial intelligence's potential in context for artists and business practitioners alike. "We would do better to stop asking where the boundary line lies between human artists' agency and that of AI toolsets, and instead start asking whether human artists are using AI to plumb greater conceptual and aesthetic depths than researchers or coders," Artnet writes. In art and in business, everyone would be better served if AI was treated as a tool, with benefits and risks noted.


How will AI help us predict disruption in air travel?

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Disruption is one of the main issues facing the air transport industry. We've all experienced or heard about disruption causing delays, often with huge impacts on passengers, cargo and operations throughout the rest of the day. Let me put it into perspective: recent figures show average flight delay times at 51 minutes. Delays could be costing the air transport industry as much as $25 billion a year. IATA figures also show the scale of the problem for airlines and airports alike.


AirAsia turns to AI, machine learning, taps Google Cloud

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AirAsia said it would transform into a "travel technology" company, tapping Google Cloud to integrate machine learning and artificial intelligence in its operations. The Southeast Asian carrier will turn its booking website, airasia.com, "We are now in our next phase of development where we are expanding beyond air transport and digitalizing our operations and processes to become more efficient," AirAsia Group CEO Tony Fernandes said in a statement released Wednesday. The partnership between AirAsia and Google Cloud was announced at a recent event in London, according to the airline. "With our advanced analytics platform and machine learning services, AirAsia will be able to digitize every aspect of its business to better serve their customers," said Google Cloud CEO Diane Greene.


Predicting Flight Delays with Apache Spark Machine Learning

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This article was originally published on ETFTrends.com. Watch a complimentary webinar below to learn more about Apache Spark's MLlib, which makes machine learning scalable and easier with ML pipelines built on top of DataFrames. In MapR Technologies video, you'll get to learn about the following: Review Machine Learning Classification and Random Forests Use Spark SQL and DataFrames to explore real historic flight data Use [...]


Artificial intelligence will make you smarter

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The future won't be made by either humans or machines alone – but by both, working together. Technologies modeled on how human brains work are already augmenting people's abilities, and will only get more influential as society gets used to these increasingly capable machines. Technology optimists have envisioned a world with rising human productivity and quality of life as artificial intelligence systems take over life's drudgery and administrivia, benefiting everyone. Pessimists, on the other hand, have warned that these advances could come at great cost in lost jobs and disrupted lives. And fearmongers worry that AI might eventually make human beings obsolete.


Artificial intelligence will make you smarter

#artificialintelligence

The future won't be made by either humans or machines alone – but by both, working together. Technologies modeled on how human brains work are already augmenting people's abilities, and will only get more influential as society gets used to these increasingly capable machines. Technology optimists have envisioned a world with rising human productivity and quality of life as artificial intelligence systems take over life's drudgery and administrivia, benefiting everyone. Pessimists, on the other hand, have warned that these advances could come at great cost in lost jobs and disrupted lives. And fearmongers worry that AI might eventually make human beings obsolete.


Brain-inspired algorithm helps AI systems multitask and remember

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Behind most of today's artificial intelligence technologies, from self-driving cars to facial recognition and virtual assistants, lie artificial neural networks. Though based loosely on the way neurons communicate in the brain, these "deep learning" systems remain incapable of many basic functions that would be essential for primates and other organisms. However, a new study from University of Chicago neuroscientists found that adapting a well-known brain mechanism can dramatically improve the ability of artificial neural networks to learn multiple tasks and avoid the persistent AI challenge of "catastrophic forgetting." The study, published in Proceedings of the National Academy of Sciences, provides a unique example of how neuroscience research can inform new computer science strategies, and, conversely, how AI technology can help scientists better understand the human brain. When combined with previously reported methods for stabilizing synaptic connections in artificial neural networks, the new algorithm allowed single artificial neural networks to learn and perform hundreds of tasks with only minimal loss of accuracy, potentially enabling more powerful and efficient AI technologies.