Gen AI In a Snap - Banking Vertical eGuide

Keep up with customers’ banking expectations? Or exceed them?

Banking leaders are facing pressure to provide customized and intuitive customer experiences. But they need to do so in a way that drives growth, automates operations, and improves risk management. And with the banking industry expected to have one of the largest opportunities for economic growth, innovation is pivotal. Enter generative AI.

By leveraging personalization, streamlining back-office operations, and managing operational and financial risk – gen AI in banking is paving a path of disruption, helping leaders drive revenue while cutting costs.

Download this guide to start or accelerate your gen AI journey, and explore strategies on how to:

Drive growth through personalization and transforming distribution
Streamline and automate middle and back office operations
Improve operational and financial risk management

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The economic potential of gen AI in banking is expected to be $200-340 billion.¹

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Gen AI on Google Cloud

Deliver gen AI powered experiences quickly, efficiently, and responsibly with Google’s most advanced technology and models.

The business value of gen AI

Find out how gen AI is being used in compelling ways to generate revenue and cut costs across industries.

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Fast analytics at scale with Google BigQuery

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¹McKinsey. (2023). Capturing the full value of generative AI in banking.

Generative AI for banking

Generative AI for banking

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Keep up with customers’ banking expectations? Or exceed them?

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The economic potential of gen AI in banking is expected to be $200-340 billion.1

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Gen AI on Google Cloud

The business value of gen AI

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ALL DAY TRACKS

Day 1 Agenda

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Our partners

Platinum

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Two-promo module. 40 characters max = two lines max on mobile.

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The economic potential of gen AI in banking is expected to be $200-340 billion.¹