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AI is the new Bi-Modal IT

AI is the new Bi-Modal IT

FromThe Cloudcast


AI is the new Bi-Modal IT

FromThe Cloudcast

ratings:
Length:
19 minutes
Released:
May 28, 2023
Format:
Podcast episode

Description

As AI begins to go mainstream in IT, we’re now at the stage where projects will either be AI-enabled or not, creating the new Bi-Modal IT for the 2020s.  SHOW: 722CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBESHOW NOTES:Why Digital Business needs BiModal IT (Gartner 2015)Slack getting an AI ChatbotNVIDIA shares spike on demand for AI chipsAI announcements from Microsoft Build 2023Windows and the AI Platform ShiftGoogle I/O and the coming AI BattlesRed Hat extends OpenShift for the Generative AI eraStackOverflow usage is down since ChatGPT launchEVERY VENDOR NOW HAS A PATH TO AI-INTEGRATED CAPABILITIESWhen cloud emerged in 2010s, IT projects became Bi-Modal (technology & people)Projects become classified as fast vs slow, old vs newGroups  become classified as fast vs slow, old vs newWILL AI-ENABLED CAPABILITIES CHANGE HOW AI PROJECTS ARE MEASURED?Expect AI to be asked about for every IT project, by leadershipExpect to see AI being pushed into every IT projectEvery vendor is going to highlight the AI integrations in their productsStart learning how the economics change if IT is potentially part of a projectExpect people-reduction to be a real consideration with AI projectsFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet
Released:
May 28, 2023
Format:
Podcast episode

Titles in the series (100)

The Cloudcast is the industry's leading, independent Cloud Computing podcast. Since 2011, co-hosts Aaron Delp & Brian Gracely have interviewed technology and business leaders that are shaping the future of computing. Topics will include Cloud Computing | Open Source | AWS | Azure | GCP | Serverless | DevOps | Big Data | ML | AI | Security | Kubernetes | AppDev | SaaS | PaaS | CaaS | IoT.