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Are businesses truly prepared to integrate generative AI into their operations? In today’s episode, we engage with Sanjay Jain, Chief Business Transformation Officer at WNS, to delve into a thought-provoking discussion based on a recent survey conducted by WNS and Everest Group.

The survey sheds light on the readiness of various enterprises to adopt generative AI technologies and highlights the four pivotal factors influencing this readiness: technology, data, process, and people.

We will explore how sectors like telecom, technology, and media are setting the pace due to their advanced change management maturity and robust data infrastructure capabilities. Sanjay will share insights into how enterprises can address talent shortages by forming strategic partnerships, providing access to essential expertise, and co-creating innovative solutions. Additionally, we will discuss the importance of compliance and ethical considerations in deploying generative AI, particularly in regulated sectors such as banking, financial services, and healthcare.

Throughout our conversation, Sanjay will also illustrate transformative use cases of generative AI that revolutionize customer experiences by enhancing efficiency, effectiveness, and impact. These include improving customer service through instant, accurate, and tailored responses, personalizing recommendations using customer data, summarizing large sets of unstructured data, and automating content creation for knowledge bases.

As we consider the broader implications of generative AI, it becomes clear that its impact varies significantly across different industries. This raises an intriguing question: What can sectors lagging in AI adoption learn from those leading? Join us as we unpack these insights and discuss how businesses can navigate the challenges and seize the opportunities presented by generative AI.

What do you think are the biggest challenges and opportunities for your industry in adopting generative AI? Share your thoughts with us and join the conversation.

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