We talk about current events, the acquisition of data stacks and the closing of the HashiCorp acquisition by IBM. Later, we dive into the productivity of AI and what's going on - are companies really getting the benefits that they expect from AI chat bot integrations and what the challenges are? 

We touch base on a little bit of something more infrastructure focused, where I give a preview of work I've been doing on separating Kubernetes virtualization from Kubernetes development use cases, which is something that we will be talking about more in the future.


References:
https://www.windowscentral.com/software-apps/microsoft-just-put-this-controversial-notepad-feature-behind-a-paywall
https://www.ibm.com/new/announcements/ibm-to-acquire-datastax-helping-clients-bring-the-power-of-unstructured-data-to-enterprise-ai-applications
https://www.youtube.com/watch?v=Ioc3r70HNLM
https://www.linkedin.com/posts/dhinchcliffe_major-agentic-ai-news-for-cios-this-week-activity-7303122989498138624-jR2R/ 
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Why is adding LLM into an App so hard?

An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud

Why is adding LLM into an App so hard?

the2030.cloud Podcast