Large language models, generative AI – all of it is moving at such blinding speed that it’s difficult to stay on top of the latest developments. As such, we’ve decided that regular check-ins on the state of generative AI is now a necessity rather than a preference so today, we’ve invited Dan Giannone back onto the show to walk us through the current trends he’s seeing in generative AI. Dan is the Cloud Solutions Architect at Microsoft, and after walking us through what his role entails, he explains why consumers don’t know enough about cloud services and what can be done to educate them. Our discussion then turns to the rapid evolution of generative AI, how Dan and his team are keeping customers up-to-date about new innovations, why business leaders need to be less cynical about the big data revolution, how understanding AI is a process and not instant, and how to know when your business is ready to introduce LLMs to its systems. We also discuss what’s missing from the generative AI playbook, the importance of building AI-centered teams, the value of solutions accelerators, and why AI hallucinations shouldn’t be a major concern for businesses. To understand the customer’s role in the effective use of AI, the biggest myths about AI, and how leading technology companies are grappling with the LMM disruption, press play now.     

 

Key Points From This Episode:

• Dan Giannone’s professional background and what his current role at Microsoft entails.
• A day in the life of a cloud solutions architect. 
• Why there’s a need to better educate consumers on the finer details of cloud services. 
• The (rapid) evolution of generative AI, and how Dan explains new innovations to customers.
• Assessing the big data revolution and why business leaders need to be less cynical about it. 
• How using and understanding generative AI is a patient process of collaboration and agility.
• The balance between adopting LLMs early and ensuring that your business is ready for it.
• Searching for the missing playbook, and how to build successful AI-centered teams. 
• How solution accelerators can facilitate faster growth.  
• Understanding one of generative AI’s biggest drawbacks: hallucinations.  
• The role of consumers in the effective use of generative AI.
• Talking through some of the biggest mistakes and misconceptions that users have of AI. 
• How big technology leaders are coping (or not coping) with the LMM disruption. 

 

Links Mentioned in Today’s Episode:

Dan Giannone on LinkedIn

Microsoft 

Microsoft Copilot

‘My First RAG Use-Case - Key Insights & Lessons Learned’ 

‘Chat with Your Data’ Solution Accelerator 

ChatGPT 

Perplexity AI

Adam Granoff on LinkedIn

Dave Castellani on LinkedIn

Deep Takes, Not Fakes

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