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Harnessing the Power of GenAI: Exploring Customer Centric Solutions

Harnessing the Power of GenAI: Exploring Customer Centric Solutions

In an era where digital transformation is accelerating at an unprecedented pace, Generative AI (GenAI) stands out as a powerful tool for innovation and customer-centric solutions. Cutting-edge collaborations between tech giants and leading service providers are enhancing GenAI capabilities, driving faster innovation cycles, streamlining customer-centric solutions, and providing access to a wider range of expertise, leading to reduced risks and a smoother path towards successful GenAI adoption.

In a knowledge exchange session, curated by CORE Media, in association with Intel and Wipro, CIOs and Digital leaders engaged in a conversation centered around Generative AI and its impact on operational efficiency.

Anoop Mathur, Founder, CORE Media, along with Seshu Venkata - VP and Distinguished Member of Technical Staff, Wipro and Venkat Narsi Varadarajan - Global Account Director - GSI, Intel India explored the transformative outcomes that Generative AI brings to healthcare and financial services, making them customer-centric, innovation-driven, and future-ready.

The key points highlighted by the CIOs and digital leaders attending the discussion were as follows:-

  1. GenAI's potential to transform Customer Journey is immense. By harnessing its capabilities for hyper-personalization, intelligent interactions and data-driven insights, enterprises can deliver highly satisfying CX at scale, turning strategic vision into tangible outcomes.
  2. CIOs from healthcare and financial services enterprises addressed the essential need of building a robust IT infrastructure to support the efficient and scalable implementation of GenAI applications.
  3. Experts from Intel and Wipro emphasized the importance of sustainable AI innovations. Advancements in AI hardware, such as specialized processors and optimized chip architectures, enhance processing power and efficiency by performing complex computations more quickly and using less energy. These innovations reduce the environmental impact of deploying GenAI solutions by lowering energy consumption and cooling requirements, making them more sustainable.

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