AI in Action E01: Swami Chandrasekaran, Managing Director of AI Innovation and Enterprise Solutions at KPMG


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Welcome to episode 1 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.

Powered by Alldus International the premium AI Workforce Solutions, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI across the world.

Today’s guest is Swami Chandrasekaran. Swami is the Managing Director of AI Innovation and Enterprise Solutions at KPMG in Dallas, where he leads and drives the architecture, technology and creation of AI, Emerging Tech solutions and innovation initiatives.

Swami is well adept at creating environments that foster innovation, collaboration, and risk-taking. He previously spent 12 years at IBM, including working with IBM Watson and rising to the rank of an IBM Distinguished Engineer. As the CTO, he led an organization that drove innovation and also the creation and incubation of AI solutions.

In this really interesting episode, Swami will tell you about:

  • Advice on applying AI and predictive analytics to your business
  • Interesting findings he saw in drug discovery at IBM Watson
  • Is Artificial Intelligence living up to the hype?
  • Industries he believes will be disrupted most by AI
  • Interesting projects he is now working on at KPMG
  • How XAI will play an important role in the near future

To find out more about Swami, check out his blog and you can also follow him on Twitter @swamichandra

What did you make of Swami’s podcast? Where do you see the future of Artificial Intelligence heading in the next few years? We would love to hear your thoughts so please leave a comment below.

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The post AI in Action E01: Swami Chandrasekaran, Managing Director of AI Innovation and Enterprise Solutions at KPMG appeared first on Alldus.

29 episodes available. A new episode about every 6 days averaging 19 mins duration .