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Vukosi Sambo

Chief Information Officer (CIO) at PHA, STM Healthcare Investments & Marara Group

South AfricaVerified Community Ambassador

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

AI & Machine Learning

Budget

Security

Compliance

Culture

Time

Talent gap

Integration

Reliability

Buy-in from management

Insufficient data

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6.8k views3 Upvotes10 Comments

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

Applications & Platforms Financial Management

Yes, totally worth it

No, bring back the Premier Support

Some value but not worth the price

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6.3k views3 Upvotes1 Comment

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.

Engineering Data & Analytics

Vukosi SamboChief Information Officer (CIO) at PHA, STM Healthcare Investments & Marara Group in Healthcare and Biotecha year ago

The risks of AI singularity include loss of control and unforeseen consequences.

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?

3.9k views

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?

Disruptive & Emerging Technologies Data & Analytics

Vukosi SamboChief Information Officer (CIO) at PHA, STM Healthcare Investments & Marara Group in Healthcare and Biotecha year ago

It definitely works. With AI, you can't go right on the first time. So you need to follow agile to improve and conquer

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.

Data & Analytics Disruptive & Emerging Technologies

Vukosi SamboChief Information Officer (CIO) at PHA, STM Healthcare Investments & Marara Group in Healthcare and Biotecha year ago

This is already happening as part of the evolution of LLM adoption by enterprises. It requires that one think of LLM architecture in “onion” layers. Essentially the innermost layer is the foundational models that LLMs are ...read more

2.6k views1 Upvote1 Comment