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Workflow Automation with AI and Zapier | CXOTalk #808
#zapier #workflowautomation #workflow #aiautomation The rising significance of enterprise AI presents a unique hurdle: seamlessly integrating AI-based business workflows into operational systems, especially for non-programmers. On CXOTalk episode 808, we explore these issues with Mike Knoop, co-founder of Zapier and the company's AI lead.
The conversation with Mike covers the rationale behind integrating AI, the technological advancements AI brings to workflow automation solutions, and its broader impact on business agility.
Join the CXOTalk community: www.cxotalk.com/subscribe
Read the full transcript: https://www.cxotalk.com/episode/ai-workflows-in-business-a-practical-guide
Key points in the discussion include:
► The potential of AI-powered automation to empower more business users with customized workflows. But governance, accuracy, and security are key challenges to consider when implementing AI workflows.
► Initial use cases include generating creative ideas, summarizing unstructured data, and making powerful business process automations easier to build for non-technical users.
► Customer service and marketing are excellent starting points for AI automation.
Watch this conversation to gain practical advice on using low-code, no-code tools to automate AI in the enterprise.
Mike Knoop is the co-founder and Head of Zapier AI at Zapier. Mike has a B.S. in mechanical engineering from the University of Missouri, where his research topic was focused on finite element modeling and optimization.
Michael Krigsman is an industry analyst and publisher of CXOTalk. For three decades, he has advised enterprise technology companies on market messaging and positioning strategy. He has written over 1,000 blogs on leadership and digital transformation and created almost 1,000 video interviews with the world’s top business leaders on these topics. His work has been referenced in the media over 1,000 times and in over 50 books. He has presented and moderated panels at numerous industry events around the world.
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Top Comments
Great episode, Michael. I found it particularly interesting the work you’re doing with Harvard. Though not part of your regular flow, I’d love to hear more in an episode around this use case, as I feel it has a lot of potential. Sentiment analysis (simplistic form) for your use case re: transcripts, but others as well and if we can learn about our language patterns… perhaps it can spot bias more quickly among people, etc.
Also your newsletter subscribe - while it’s a pop up in the link in description, I wonder if it’d increase subscriptions with a direct link to subscribe in the video description💡
