Generative AI

Generative AI

Putting generative AI to work for enterprise customers

Generative AI

Putting generative AI to work for enterprise customers

Making generative AI real for your business

Generative AI

Transform your business with the power of generative AI. EXL provides companies with a portfolio of solutions, proprietary data sets, and access to experts necessary to unlock AI's potential. We use over a decade of experience delivering innovative AI solutions to help you improve operational workflows and gain new business insights by leveraging generative AI across your enterprise.

Making generative AI real for your business

Generative AI
Transform your business with the power of generative AI. EXL provides companies with a portfolio of solutions, proprietary data sets, and access to experts necessary to unlock AI's pote...
Transform your business with the power of generative AI. EXL provides companies with a portfolio of solutions, proprietary data sets, and access to experts necessary to unlock AI's potential. We use over a decade of experience delivering innovative AI solutions to help you improve operational workflows and gain new business insights by leveraging generative AI across your enterprise.
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Fast-track your enterprise with generative AI: 5 key strategies for success
<p>Generative AI's potential to generate substantial value for businesses is vast, spanning from innovative products and improved customer experiences to heightened productivity and data monetization. Visionary leaders are actively discussing its swift and strategic implementation.</p>
View the infographic
Fast-track your enterprise with generative AI: 5 key strategies for success
<p>Generative AI's potential to generate substantial value for businesses is vast, spanning from innovative products and improved customer experiences to heightened productivity and data monetization. Visionary leaders are actively discussing its swift and strategic implementation.</p>
View the infographic
Fast-track your enterprise with generative AI: 5 key strategies for success
<p>Generative AI's potential to generate substantial value for businesses is vast, spanning from innovative products and improved customer experiences to heightened productivity and data monetization. Visionary leaders are actively discussing its swift and strategic implementation.</p>
View the infographic
<div class="fd__allinsight__section___header">Featured insights</div> <div class="fd__all__allinsight__section__subheader"></div>
<p>As generative AI (gen AI) continues to garner massive attention, companies are scrambling to make sense of this powerful next step in AI’s evolution. As they do so, executives need, at a base level, to understand why gen AI is so different, where in the business it can have the most significant impact; and what companies should do to capitalize on its potential fully.</p>
<p>The business of insurance is the business of risk. Understanding, anticipating and managing the potential impact of change enables people, organisations and society to progress. So we find it especially relevant now, to consider how one of the biggest business innovations in recent times – Generative AI – should be understood, anticipated and managed in the insurance sector. Not only in the sector, but also for the sector.</p>
<p>Customer experience (CX) is a customer’s perception of your brand, products, or services. Their opinions are based on every touchpoint and interaction they’ve ever had with your brand — from first awareness to the most basic post-purchase service and support.</p>
<p>It is no longer a question of whether generative AI will change the world, but how. This technology is already transforming the way we write code, communicate, source and consume information.</p>
<p><span><span><span>Generative AI has the potential to generate substantial value for businesses, from innovative products and improved customer experiences to heightened productivity and data monetization.</span></span></span></p>
<p>This custom study looks at the current state, challenges, and opportunities for data ops across the US and UK geographies.</p>