Two years after originally announcing it, Medtronic and IBM Watson have launched their joint platform the Sugar.IQ, a digital diabetes assistant. "It is designed for people who are currently using Guardian Connect; so made for people on multiple daily injections. It is a personal assistant a little bit like Alexa or Siri," Huzefa Neemuchwala, global head of digital health solutions and AI at Medtronic, said in a Facebook live informational session. "It is an intelligent assistant that keeps track of all of your information and has all of your information in one place. Then through Watson technology we use this information to power insights so we can better manage your diabetes so that you can spend more time in range."

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

Verizon's FIOS fiber optic broadband keeps millions of US homes online. However, monitoring stability and reacting to faults and outages which affect customer experience takes huge amounts of resources. Until recently, Verizon primarily relied on customer feedback to understand when the speed and quality of its service was falling short of expectations. In recent years, however, following a large investment in analytics and AI-driven technology such as machine learning – in part subsumed through the company's 2017 acquisition of Yahoo! and it's research units – a different approach is bringing impressive results. Now it's predictive analytics algorithms monitor 3GB of data every second streaming from millions of network interfaces – from customers' routers to an array of sensors gathering temperature and weather data, and software which "listens in" on operational data, such as billing records.

IBM is deploying sophisticated technology under its Watson Financial Services brand to improve risk management across financial firms. The initiative has several components, said Michael Curry, vice president of engineering for Watson Financial Services at IBM. "One piece is more focused on financial risk -- market, credit and liquidity risk that are associated with portfolios. The Armanta acquisition we announced a few months ago sits in portfolio management but we are applying it in other places too. "The second piece would be more operational risk, and there you have two components. One is some of the areas of financial crimes and fraud where we have our Financial Crimes Insight Engine, a platform for finding patterns of fraud and market abuse.

Fox Sports has tapped into the potential of artificial intelligence and machine learning to deliver the innovative FIFA World Cup Highlight Machine, available through its Fox Sports App and FoxSports.com. A collaboration with IBM, the Highlight Machine is enabled by the IBM Watson computer technology. It analyzes video from the FIFA World Cup archive, as well as 2018 footage, and extracts data, allowing users to search for goals, red cards, players by name and the like. It is about creating a "compelling user experience around highlights, not just in 2018 but also previously, at leat 50 years," says David Mowrey, head of product and development at IBM Watson Media. More typically, gathering this sort of data would be a task done manually by employees, but considering the scope of the World Cup, that would be impractical, and arguably impossible, Mowrey explains, because of the enormous volume of video that is involved.

A track record of prior competency that is above and beyond the norm is what hiring managers look for when they recruit "top talent", as recruiters like to say. Usually "top talents" can command a premium in the market place because everybody wants to employ them. We can equate these "top talents" to top quality stocks. You often hear dividend investors talk about how top dividend growth stocks are "always too expensive". That comment usually refers to the yield for the stock being lower than average, which in the case of a quality stock just represents a greater anticipation of future growth.

Grant and his team use machine learning to build and improve, search applications. Q: What are the keys to a successful AI/ML strategy? A: In a market like search, there is a significant opportunity for monetization with high-quality results in e-commerce and other customer-facing industries that result in demand creation. It's critical to build in functionality that can be put into production. We help by taking care of the plumbing around the lack of AI/ML talent.

In an increasingly complex scenario for network management, a solution that allows configuration in more autonomous way with less intervention of the network manager is expected. This paper presents an evaluation of similarity functions that are necessary in the context of using a learning strategy for finding solutions. The learning approach considered is based on Case-Based Reasoning (CBR) and is applied to a network scenario where different Bandwidth Allocation Models (BAMs) behaviors are used and must be eventually switched looking for the best possible network operation. In this context, it is required to identify and configure an adequate similarity function that will be used in the learning process to recover similar solutions previously considered. This paper introduces the similarity functions, explains the relevant aspects of the learning process in which the similarity function plays a role and, finally, presents a proof of concept for a specific similarity function adopted. Results show that the similarity function was capable to get similar results from the existing use case database. As such, the use of similarity functions with CBR technique has proved to be potentially satisfactory for supporting BAM switching decisions mostly driven by the dynamics of input traffic profile.

And for soccer (er, football) fans in the US, Fox Sports will be the TV network responsible for bringing them all 64 games from Russia, at least if they want to watch them in English. But, beyond its broadcast offerings, Fox Sports wants to keep people engaged in the competition in different ways. Aside from its partnership with Twitter, which comes in the form of a show that'll stream live from Russia, Fox Sports has teamed up with IBM to build the ultimate World Cup highlight machine. Powered by Watson artificial intelligence, this video hub lets you create on-demand clips from every FIFA World Cup tournament dating back to 1958. Fox Sports says there are 300 archived matches that Watson is capable of analyzing, which you can filter out by World Cup year, team, player, game, play type or any combination of these.