Shay Levi (@shaylevi2, CEO @UnframeAI) & Larissa Schneider (COO @UnframeAI) discuss the complexities of building an enterprise-grade AI platform. Topics include what an AI platform is, the advantages of adoption, and the efficiencies gained.

SHOW: 949

SHOW TRANSCRIPT: The Cloudcast #949 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"

SPONSORS:

  • [VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.
  • [DoIT] Visit doit.com (that’s d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.

SHOW NOTES:

  • Unframe website

Topic 1 - Shay & Larissa, welcome to the show! Give everyone a brief introduction and a little about your background.

Topic 2 - Today, we’re discussing AI Security and Enterprise Platforms. What are the problems or issues you see with AI development today?

Topic 3 - Is this where an AI platform comes into play? I’m seeing more and more about this term and wondering what it truly means to be a platform. What is your definition of a platform, and what are the advantages?

Topic 4 - Shay, considering your background in APIs and API security, how does that knowledge transfer into this space?

Topic 5 - Larissa, with your background in operations, where do you see the inefficiencies in AI development and lifecycle management of the AI models and the datasets?

Topic 6 - Let’s talk about Unframe. Give everyone an overview. Is this a SaaS service? How and where does it fit into your typical AI development stack?

FEEDBACK?

  • Email: show at the cloudcast dot net
  • Bluesky: @cloudcastpod.bsky.social
  • Twitter/X: @cloudcastpod
  • Instagram: @cloudcastpod
  • TikTok: @cloudcastpod