AI Weekly: Highlights from VentureBeat’s AI conference Transform

  • “Developing an data strategy should come before considering AI for your business
  • If you “don’t have top-down support and understanding for bottom-up initiatives, you’re going to fail miserably because there’s going to be … a longer timeline for ROI.”
  • Accelerating scale of compute use is “what keeps me up at night.” Advances in optimization and software will be essential to the future of AI, he  said. OpenAI found that compute necessary for state-of the-art results has grown 10 times annually since 2012.
  • Google Cloud Platform AI head Andrew Moore urged developers to skip job offers from companies that have trouble articulating their purpose.”

https://www.google.com/amp/s/venturebeat.com/2019/07/12/ai-weekly-highlights-from-venturebeats-ai-conference-transform/amp/

UWATERLOO, MICROSOFT PARTNER TO USE AI FOR SOCIALLY-DRIVEN PROJECTS

  • “Artificial intelligence is a growing driver of Canada’s economy. In 2018, $548 million in venture capital was invested in Canadian AI companies, an increase of approximately 50% from 2017.
  • Canadian job opportunities in the field of AI grew by nearly 500% between June 2015 and June 2017, and this number will only continue to rise.
  • AI is not just the future of technology, it is the future solution for humanitarian, health and sustainability issuesl

https://betakit.com/uwaterloo-microsoft-partner-to-use-ai-for-socially-driven-projects/

Microsoft Power Platform update aims to put AI in reach of business users

  • ‘”AI Builder is all about making it just as easy in a low-code, no-code way to go bring artificial intelligence and machine learning into your Power Apps, into Microsoft Flow, into the Common Data Service, into your data connectors, and so on,’ Riley told TechCrunch.”

https://www.google.com/amp/s/techcrunch.com/2019/06/10/microsoft-power-bi-platform-update-aims-to-put-ai-in-reach-of-business-users/amp/

Microsoft launches a drag-and-drop machine learning tool

  • “Microsoft today announced three new services that all aim to simplify the process of machine learning.
  • The new interface for Azure’s automated machine learning tool makes creating a model as easy as importing a data set and then telling the service which value to predict.
  • For those who want a bit more control from the get-go, Microsoft also today launched into preview a visual interface for its Azure Machine Learning service that will allow developers to build, train and deploy machine learning models without having to touch any code.
  • The new hosted notebooks in Azure Machine Learning are clearly geared toward the more experienced machine learning practitioner.”

https://www.google.com/amp/s/techcrunch.com/2019/05/02/microsoft-launches-a-drag-and-drop-machine-learning-tool-and-hosted-jupyter-notebooks/amp/