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.”

The AI technique that could imbue machines with the ability to reason

  • “Nobody tells the baby that objects are supposed to fall,” said Yann LeCun, the chief AI scientist at Facebook and a professor at NYU…, “a lot of what they learn about the world is through observation.”
  • While algorithms based on supervised and reinforcement learning are taught to achieve an objective through human input, unsupervised ones extract patterns in data entirely on their own.
  • “Everything we learn as humans—almost everything—is learned through self-supervised learning.
  • Ultimately, unsupervised learning will help machines develop a model of the world that can then predict future states of the world, he said. It’s a lofty ambition that has eluded AI research but would open up an entirely new host of capabilities. LeCun is confident: “The next revolution of AI will not be supervised.”

How in-app bot fraud ruins the online shopping experience

  • “Shopping apps are big business. Research from Apptopia shows that downloads of shopping apps reached 5.70 billion in 2018, up 9.3% over 2017.
  • What’s more, these users stick around: 48% of consumers still use an ecommerce app one month after its initial download, compared to an average retention rate of 43% across verticals.

How do bots affect ecommerce apps?

  1. Swooping up high-demand products
  2. Staging log-in attacks
  3. Skewing analytics metrics”

Paul H. Müller, o-founder and chief technology officer, Adjust

Adjust –

Rise of the machines: How AI is changing unified communications

  • “One measure is found in WhatsApp messaging volumes, which have risen exponentially, from one billion a day in 2011 to 65 billion a day by mid-2018.
  • There are now more than five billion registered users for messaging platforms worldwide, with WhatsApp and Facebook Messenger the most used.
  • ‘social listening is one area where AI is impacting things, enabling companies to be more targeted and responsive to customers.’
  • Through machine learning, we have helped to identify a new segment of customers that the retailer has not yet engaged with…The outcome? A 68% increase in sales and a 45% decrease in acquisition cost.”