Blockchain will use AI to search through relationship data, says Dr. Scott Zoldi, chief analytics officer at FICO, in his AI predictions for 2018 Defensive AI will be used to protect systems from malicious AI and machine learning The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. Check out our crypto blog on blogger.com "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car. In the future, you will be able walk up to a car to lease it, but you'll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon. This micro-loan will have insurance contracts attached to the blockchain, and a codified history of the car's history of drivers, events, and maintenance. As you drive through the city and interact with toll roads and parking spaces, all of this information will be automatically recorded and monitored on the blockchain. When you leave the car and lock it, the lease is complete and auditable on the chain. These kinds of data event chains will create new opportunities for graph analytics and novel new AI algorithms to consume relationship data at scale."

There is a lot of buzz about Artificial Intelligence (AI) and how it will revolutionize our world for the better. The question for human resource professionals is: What sort of impact will AI have on employee benefits? Let's first review an accurate definition of AI. Originally, I thought AI was when a computer programmer put human logic into software. But that is not correct.

Saks Fifth Avenue isn't intimidated by the emergence of artificial intelligence and consumer preferences shifting to online retail, the luxury department store's president told CNBC on Friday. "When you think about the online versus the offline experience, we don't need AI in our stores. We have'I,'" said Marc Metrick, president of Saks. "We have living, breathing, 4,500 style advisors in our stores." "The focus for Saks in the luxury space is really kind of convergence between tech and this living, breathing, selling associate," Metrick said in an interview on "Squawk Box." Metrick spoke as e-commerce giant Amazon has been aggressive in expanding its retail muscle, including through partnerships and acquisitions.

The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car. In the future, you will be able walk up to a car to lease it, but you'll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon. This micro-loan will have insurance contracts attached to the blockchain, and a codified history of the car's history of drivers, events, and maintenance. As you drive through the city and interact with toll roads and parking spaces, all of this information will be automatically recorded and monitored on the blockchain. When you leave the car and lock it, the lease is complete and auditable on the chain. These kinds of data event chains will create new opportunities for graph analytics and novel new AI algorithms to consume relationship data at scale."

The growing use of blockchain technology in financial services will include a healthy dose of artificial intelligence, as new, automated analytic techniques look for patterns in the "relationship data" about people, contracts and transactions. That merger of two hot tech trends is one of the predictions made by Dr. Scott Zoldi, chief analytics officer at Silicon Valley analytic software firm FICO, and a recognized expert in the field of artificial intelligence. "Beyond its association with cryptocurrencies, blockchain technology will soon record'time chains of events,' as applied to contracts, interactions and occurrences," Dr. Zoldi wrote on the FICO Blog. "Think about renting a car. In the future, you will be able walk up to a car to lease it, but you'll do so with a micro-loan for which you are approved to lease the car for, say, an afternoon. This micro-loan will have insurance contracts attached to the blockchain, and a codified history of the car's history of drivers, events, and maintenance. As you drive through the city and interact with toll roads and parking spaces, all of this information will be automatically recorded and monitored on the blockchain. When you leave the car and lock it, the lease is complete and auditable on the chain. These kinds of data event chains will create new opportunities for graph analytics and novel new AI algorithms to consume relationship data at scale."

After Google was criticised in 2015 for an image-recognition algorithm that auto-tagged pictures of black people as "gorillas", the company promised "immediate action" to prevent any repetition of the error. That action was simply to prevent Google Photos from ever labelling any image as a gorilla, chimpanzee, or monkey – even pictures of the primates themselves. That's the conclusion drawn by Wired magazine, which tested more than 40,000 images of animals on the service. Photos accurately tagged images of pandas and poodles, but consistently returned no results for the great apes and monkeys – despite accurately finding baboons, gibbons and orangutans. Google confirmed that the terms were removed from searches and image tags as a direct result of the 2015 incident, telling the magazine that: "Image labelling technology is still early and unfortunately it's nowhere near perfect".

This year's Edelman Trust Barometer revealed the largest-ever global drop in trust across all four key institutions – government, business, media and NGOs. One sector, however, has so far weathered the anti-establishment storm: tech. Edelman found that 76 percent of the global general population continues to trust the sector. But will this trust survive the widespread adoption of artificial intelligence? AI, after all, is known for being a black-box approach.

Artificial intelligence is a moving target. Here's how to take better aim. Artificial intelligence (AI) seems to be everywhere. We experience it at home and on our phones. Before we know it--if entrepreneurs and business innovators are to be believed--AI will be in just about every product and service we buy and use. In addition, its application to business problem solving is growing in leaps and bounds.

When you mention artificial intelligence (AI), plenty of images come to mind, thanks in large part to Hollywood depictions of the rise of the machines. While robots have yet to take over the world, many less threatening examples of AI have dominated our culture, from our everyday interactions with Siri or Alexa, to Google's self-driving car, or to Ken Jennings losing to Watson on Jeopardy! In reality, AI has already worked its way into our lives in ways that are far less sensational or even noticeable. Today's definition of AI is fluid, and the countless companies offering AI solutions in the market have as many different definitions for the concept as there are products. In short, the term "AI" is widely used to describe any computing function that mimics human intelligence or thinking.

This week, a video surfaced of a Harvard professor, Steven Pinker, which appeared to show him lauding members of a racist movement. The clip, which was pulled from a November event at Harvard put on by Spiked magazine, showed Mr. Pinker referring to "the often highly literate, highly intelligent people who gravitate to the alt-right" and calling them "internet savvy" and "media savvy." The neo-Nazi Daily Stormer website ran an article headlined, in part, "Harvard Jew Professor Admits the Alt-Right Is Right About Everything." A tweet of the video published by the self-described "Right-Wing Rabble-Rouser" Alex Witoslawski got hundreds of retweets, including one from the white-nationalist leader Richard Spencer. "Steven Pinker has long been a darling of the white supremacist'alt-right,'" noted the lefty journalist Ben Norton.