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From Moonshot to Reality: Artificial Intelligence in Action

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3 October 2018
Alenka Grealish

Take Aways from the Artificial Intelligence Summit in San Francisco

Two broad themes stood out at AIS 2018

  • Repositioning AI’s end game from replicating human brain to augmenting it

  • And building AI for the greater good

Speakers discussed numerous promising trends

  • Huge advances in the past two years across applications

    • Vision most popular example

    • Excitement regarding progress in deep learning

    • And auto-machine learning (ML) and increasing ROI

  • AI is operating at scale

  • Recognition of the need to address public/press (bots will replace humans…) andethical/regulatory concerns

    • IBM announced its explainable AI dashboard which monitors “fairness” aka bias

    • Genpact has impressive click-thru feature to drill down to atomic level

    • Google recently released AI Ethics

    • Several presenters recognized the important role subject matter experts will continue to play in not only ML fine tuning but also ensuring fairness

  • Bridging gap between data scientists and end-users/non-data scientist

  • New models to get more input from consumers – enabled by smartphones, sensors, and related and deliver value add

    • Top use case includes healthcare (e.g., encourage best practice post-op with physical therapy)

    • A standout example in banking:Capital One’s interactive card fraud alert
      (a Celent Model Bank 2018 winner for its Fraud Unlock)

      Most AI active industries remain the same:

  • Banking – fraud mitigation, KYC facilitation; customer service

  • Insurance - claims

  • Healthcare/pharma – patient care, empirical medicine, diagnosis

  • Retail, digital services – recommendations, call centers

    To learn more about AI in banking, please see my report, From Moonshot to Reality: AI in Action, June 2018.