AI in the Enterprise
What are strategic considerations for implementing AI in the Enterprise? Raleigh Murch answers our questions.
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00:00 Intro
31:27 Is there a good App for IOS to convert a PDF report to speech and that also sound incredible, preferrably like a podcast. Or do I need to do the conversion on my computer instead.
36:40 Do you have a read on where Amazon's tooling is at by comparison with Microsoft?
41:37 Do you think we'll see growth in "self-hostable" LLMs for enterprise use cases where data sovereignty/security issues are important?
42:41 What industries are you seeing a great deal of business growth using AI tools?
44:11 Living in the Caribbean we see our governments still use lots of paper info and alot of human interactions (keeping govt employees happily employed). How do you see Enterprise AI disrupting and making changes at this level
45:10 Having a tech background, how would you suggest I get myself ready to inspire the change to these Caribbean organisations both Private and Public
46:45 Where do you see human avatars maturing in the market? What are 1 or 2 use cases using the human avatar?
49:52 How can companies balance the potential productivity gains of AI with the need to re-skill their workforce and address job displacement concerns?
50:49 With several cases on the legal aspects of llm data going threw the courts do you see any hesitation on adoption of tool that may have to be retooled post court decisions
52:03 If you were a CIO would you be rushing to implement something like Databricks or Snowflake as a consolidated data warehouse?
53:01 Won't working only with a companies internal developed data for the AI result in siloing and prohibit "thinking outside the box" causing stagnation of creativity?