The Enterprise AI Show

The Enterprise AI Show explores the AI journey for Enterprise companies around the world. [formerly The Cloudcast]

As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

New shows every Wednesday and Sunday.

Topics: Enterprise AI strategy · The AI Economy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing

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The Enterprise AI Show

AI for the Mainstream

June 03, 2020 • Cloudcast Media

0:00 | 26:39

Venkat Rangan (Co-Founder & CTO @ Clari) talks about AI and application into more mainstream areas and revenue generation.

SHOW: 453

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SHOW NOTES:

Clari website

Topic 1 - Venkat, you have a very interesting background as a technologist in our industry. Give everyone a brief introduction and if you don’t mind also tell everyone a bit about being a member of the Forbes Technology Council. I believe you are our first guest from there.

Topic 2 - Today we’re going to dig back into AI as a topic. Let’s start at the start. In your current role you have been involved in technology over the years and Clari has been around for awhile. What compelled you to focus on this space?

Topic 3 - AI has suffered from a perception issue. It often is seen as unapproachable with a pretty high barrier to entry. We’ve spoken to companies in the past about specific industry or vertical applications (manufacturing for instance). Many architects and our listeners are practitioners vs. data scientists. How do we solve this problem and “bring AI to mainstream”

Topic 4 - In order for that to happen, what does our industry need? Is it SaaS based, services from public clouds, etc?

Topic 5 - Having been in field sales for years, it’s always been somewhere between complete and utter guesswork all the way to precision, rocket science level analysis. - What are your thoughts here and how can AI improve this situation?

Topic 6 - What’s next for industry? What are the use cases both today and in the future?

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