Content Vukosi is Following

What do you see as the biggest obstacle to undertaking AI projects in your company?

Budget

Security

Compliance

Culture

Time

Talent gap

Integration

Reliability

Buy-in from management

Insufficient data

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Did you recognize any value switching to the new Microsoft Unified Support model?! Was the cost increase worth it?!

Yes, totally worth it

No, bring back the Premier Support

Some value but not worth the price

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What do you think are the risks associated with singularity in AI advancements? I.e. AI becoming more intelligent than its creators accompanied with a point of no return.

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For AI systems that are subjected to regulatory approvals like in healthcare, how much model drift is too much before the approved model has to considered to be outside approved framework? Which of the 3 main drivers of model drift should be of greatest concern between data drift, algorithm drift and concept drift?

Does Agile Methodology work for AI projects?  With many companies adopting Agile for software development, does trying to "make" Agile work for AI initiatives a mistake?

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In your Organization, are you promoting the culture of  model differentiation? As far as I have seen, many of us are just getting out of the box proposed without taking care of the model selection as well as if the LLM should step back for an SLM. The adoption of SLM (Small Language Model) as Phil-2 (available on Azure OpenAI) or Orca2 or Falcon 7B, Nucleus 1B, ... involves remarkable benefits: limited BIAS, Hallucinations, low costs for training, and so on.

Vukosi Sambo, Chief Information Officer (CIO) at PHA, STM Healthcare Investments & Marara Group at PHA, STM Healthcare Investments & Marara Group | Gartner Peer Community