Increasingly, the data that is relevant for companies' machine learning efforts will be not just some data, but all of it; anything less risks missing what could conceivably be the critical insight down the road, the answer to questions as yet Chief information officers of companies have a strange predicament in an age of AI: They are meant to solve problems for companies by marshaling the relevant data on customers and transactions, but the data itself is going to raise new, unexpected questions. Increasingly, the data that is relevant for companies' machine learning efforts will be not just some data, but all of it; anything less risks missing what could conceivably be the critical insight down the road, the answer to questions as yet unasked. Until recently, the era of "big data," as it's called, has been about providing only the requisite information to answer some straightforward question, where the "known unknowns" are all that matters. For example, if you're a retailer, you might want to know how many of your customers would be likely to return items they've bought based on patterns of purchases. In fact, a group from Indian online apparel retailer Myntra this summer showed off a machine learning model for just such an application.

Increasingly, the data that is relevant for companies' machine learning efforts will be not just ... [ ] some data, but all of it; anything less risks missing what could conceivably be the critical insight down the road, the answer to questions as yet unasked. Chief information officers of companies have a strange predicament in an age of AI: They are meant to solve problems for companies by marshaling the relevant data on customers and transactions, but the data itself is going to raise new, unexpected questions. Increasingly, the data that is relevant for companies' machine learning efforts will be not just some data, but all of it; anything less risks missing what could conceivably be the critical insight down the road, the answer to questions as yet unasked. Until recently, the era of "big data," as it's called, has been about providing only the requisite information to answer some straightforward question, where the "known unknowns" are all that matters. For example, if you're a retailer, you might want to know how many of your customers would be likely to return items they've bought based on patterns of purchases.

Roses are red/Violets are blue/Sugar is sweet/And so is... artificial intelligence? Poetry enthusiasts might want to think twice about shedding tears over romantic verses, given that they can be produced by machines using algorithms. The fact that Microsoft's chatbot Xiaoice has published an anthology of poems takes many people aback. But the avatar is making strides using new AI capabilities to create patterns based on words, themes and key colors. In addition to its literary ambitions, Xiaoice is also designing images and patterns on fabrics for international fashion and garment producers.

Rapid, radical advances in artificial intelligence and deep learning in business are changing the stakes--and ushering in a new era of business and technology. Artificial intelligence (AI) has always seemed a bit futuristic. The ability of machines to tap massive amounts of data and use algorithms to "think" and'adapt" on the fly has been an alluring, if t somewhat elusive, concept. However, over the past few years, advances in digital technology have begun to redefine the AI landscape and usher in real-world capabilities. "We are seeing the technology take off in a big way," says Satya Ramaswamy, vice president and global head of digital enterprise for Tata Consultancy Services (TCS).

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence--a technology that also promises to revolutionize cybersecurity--could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

Businesses and IT leaders concerned about cybersecurity have a lot of potential threats to deal with, from spear phishing attacks to ransomware, and may soon have another item on their worry list: artificial intelligence. Although AI has the potential to boost productivity and handle rote office tasks, freeing employees to work on more complex assignments, there is a looming downside in the security realm. Someday in the near future, hackers may be able to use AI tools to find new vulnerabilities and then create new exploits and attacks in a fraction of the time it would take a human. In August, the Defense Advanced Research Projects Agency, the Defense Department's research arm, sponsored the Cyber Grand Challenge hacking competition in Las Vegas. The contest pitted seven autonomous machines against each other to find and exploit bugs in each other's systems.

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.

It may take several years or even decades, but hackers won't necessarily always be human. Artificial intelligence -- a technology that also promises to revolutionize cybersecurity -- could one day become the go-to hacking tool. Organizers of the Cyber Grand Challenge, a contest sponsored by the U.S. defense agency DARPA, gave a glimpse of the power of AI during their August event. Seven supercomputers battled each other to show that machines can indeed find and patch software vulnerabilities. Theoretically, the technology can be used to perfect any coding, ridding it of exploitable flaws.