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
