This is not relevant for my organization actually, but I'll share my point of view on this. Transitioning from predictive to prescriptive analytics is a journey in itself. To actively evolve, I think there has to be matrices ...read more

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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.

Data & Analytics Disruptive & Emerging Technologies

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech8 months 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

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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 Generative AI+8 more

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech8 months 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

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What are your thoughts on MIT Researchers’ developed new method that uses Artificial Intelligence to Automate the Explanation of Complex Neural Networks? Will this bridge the gap of the transparency, explainability and contestability (TEC) in GenAI, thus improving adoption?

Applications & Platforms Cloud Contact Center & Telecom+13 more

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech8 months ago

May please share the Paper are you referring to?

Thanks.

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What is your top data trend prediction for 2024?

Data & Analytics Innovation Peer Insights

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech8 months ago

I characterize 2023 as a year of AI hype. We saw inflated expectations of what AI can do, both good and harm. Towards the later part of the year, moderation started to kick when there was a realisation of both the ethical ...read more

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With the advent of LLMs being used more widely, what are your opinions on the introduction of biases into the pool of answers and solutions provided by these models? Will we require more validation of the answers provided by these models down the line? Do you think this marks the advent of new “AI validation” roles in the future?

Data & Analytics

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech8 months ago

I do think that an AI validation role is necessary. However, the maker of the given model has the responsibility regarding the content that goes into a given model. The AI validation role on the backend is the safety net...read more

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What is the #1 data governance myth you have had to dispel or are working on dispelling at your organization?

Data Governance Culture & Values Consulting & Professional Services

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotech10 months ago

So on the face of it - I am going to list 2, but in reality they are the same myth represented in 2 different ways - fairly obvious to data professionals but still seen this way in a lot of big organsiations
"Data ...read more

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Follow up on my previous travel question: What is your favorite place to travel to for work and why?

Peer Insights People & Leadership

Vukosi SamboExecutive Head of Data Insights & AI in Healthcare and Biotecha year ago

By far the best place for me to travel was Shanghai. Loved the city and the vibe. Singapore is also an amazing place to have to be stationed for work.

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