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With GenAI, there is a dramatic difference between
companies that are digital

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at the core and have the tech stacks
ready to work, and companies

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that are going through rewiring
and rethinking of their tech stacks.

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The companies that are tech-enabled have,

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in the last six months, moved
even further ahead.

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They had the infrastructure.

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They had the data.

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And they've widened the gap.

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For them, GenAI has immediate benefits to
embed into co-development,

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enabling release cycles that are 50 to 60 percent faster,
automating helpdesk support

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or synthetically generating new code

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that can be run through cybersecurity scenarios.

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On the other extreme, for the companies
that are starting to digitize,

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GenAI is an opportunity to catch up.

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It can be used to refactor applications,

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migrate systems to the cloud faster and clean data – their
biggest bottlenecks on this journey.

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For example, if I'm running a supply chain
in a pharma company,

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today, I probably need to tap into
10 to 12 different systems

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and custom-run reports out of each of them.

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Someone has to normalize
all the data, clean it,

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and it's at least a week-long process.

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If I use GenAI and infuse into that
process, and I also migrate into cloud

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and the data is now usable and clean,
I can have that view in real-time.

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And, it allows businesses
to get from historical reflections

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into much more proactive conversations.

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And then finally, there are companies that
are currently in a swirl over GenAI.

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Those are currently
in the middle of performance.

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They're asking questions like,
what should we use GenAI for?

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How should we reprioritize
all the AI efforts we have?

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And, what do we have in the pipeline?

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Can the same person be in charge

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or do we now need a new leader
that is going to be driving GenAI efforts?

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But all that aside, overall,
when AI and GenAI are deployed at scale,

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we're seeing a 20 to 40 percent
reduction in technology costs,

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and at least 5 to 10 percent improvements in
various functional efficiencies.

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Now, in the short term, CIOs are going to worry much more because of GenAI.

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There are new security questions
that are popping up.

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They are also sanity checking the
outputs coming from these tools.

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They're also making sure that it's
high-quality output

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that is now being used
in real-time environments.

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But down the line, GenAI is going to
make the cost and speed

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of these shifts into modern technology
vanish to a large extent.