Why AI As A Service Will Take Off In 2020

  • “That’s what AI as a service is all about: making new technology accessible across the board, whether a company is big, small, tech-advanced, or on a budget.
  • SMBs require it. AI as a service allows for advanced infrastructure at minimal cost. This is exactly what small and mid-sized businesses around the world need right now to compete against tech giants. AI as a service, in a way, is their only hope.”


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6 AI features Microsoft added to Office in 2019

“Outlook – Last week, when we talked to Cortana lead Andrew Shuman, he was really excited about Outlook’s various Cortana integrations. Shuman frequently “triages” his own email with Cortana.

Excel – Excel supports natural language queries, meaning you can ask a question about your data and get quick answers without writing a formula. Using AI, Excel will quickly answer data questions using formulas, charts, or pivot tables.”


Microsoft president Brad Smith predicts AI will be as transformative to society as the combustion engine over the next 3 decades

“[The combustion engine] led to the car and the airplane; it led to the truck and the tractor; it changed every part of every economy. I think it’s fair to say that over the next three decades – from now to 2050 – AI is likely to play a similar role in the global economy.”


AI Rising: How companies, police and the public are already grappling with artificial intelligence

  • “Microsoft President Brad Smith, I think it’s fair to say that artificial intelligence will reshape the global economy over the next three decades probably more than any other single technological force, probably as much as the combustion engine reshaped the global economy in the first half of the 20th century.”
  • https://www.google.com/amp/s/www.geekwire.com/2019/ai-rising-companies-police-public-already-grappling-artificial-intelligence/amp/

    Can AI detangle the spaghetti of banking systems?

    • “Describing interactions with senior managers who do not have the educational background in core system machine learning methodologies, he said: “Their expectation is that the answers provided are 100% correct all of the time.
    • Challenger banks’ architecture, she argued, is akin to lasagna, with neat layers that can be dipped in and out of and filling easily added in and out of and filling easily added in between. Incumbent banks meanwhile are more like spaghetti.”