WEBVTT

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- Generative AI has really put AI on the

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radar of every company.

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But in reality, generative AI

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and predictive AI work fairly differently.

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If I take generative AI, it is
trained to be very creative.

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If you give it the same
order twice, it will come up

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with two different answers.

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Very much akin to the
human creative process.

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We like to compare it to
the right human brain.

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Now, predictive AI is
completely different.

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It's trained on hard data.
It's powered by statistics.

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It will always give you the same answer

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and you can test for
accuracy of the outcome.

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Now, we like to compare
that to the left brain.

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Now, as a company, you need
both. Imagine supply chain

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optimization, for example.

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You definitely want accuracy for that.

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If you think marketing content

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creation, you want creativity.

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So the question is what
technology to apply when.

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Predictive AI and generative AI are two

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very different technologies.

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But in reality, if you are a
CEO embarking on the journey,

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the same principles and
advices apply for both.

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One: focus. These
technologies are expensive.

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The learning curve is going to be
steep for your organization.

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You want to make sure that
you are focusing on your top

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business and functional
priorities, ensuring

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that AI is embedded in
that transformation.

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Two: people, people, people.

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People always underestimate
the importance of upskilling

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and transformation in an AI journey.

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I would recommend that you
think blue sky in terms

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of skills, operating model,
and of course, focus on talent.

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And three, think thoughtfully
about technology.

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Companies are also not
purposeful enough in the way they

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approach technology.

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You need to take a very forward

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and proactive lens in the way
you drive your architecture

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and in the way you
approach your ecosystem.