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Embracing Gen AI with modern data platforms

Embracing Gen AI with modern data platforms

The ever-changing technology landscape is driving a rapid transformation of the ICT industry. To stay ahead of the curve, organizations must closely monitor emerging technologies that have the potential to disrupt and reshape various industries.

Gen AI is poised to revolutionize digital innovations and elevate content creation. The convergence of data platforms and Gen AI is propelling advancements in diverse fields, such as finance, manufacturing, and retail. However, integrating these cutting-edge technologies into existing infrastructure and data platforms presents a significant challenge.

CORE Media arranged a closed door session for technology leaders and Google Cloud India executives to discuss strategies for data landscape transformation and Generative AI.

Anoop Mathur, Founder, CORE Media started the conversation by talking about data landscapes and embracing Gen AI with modern data platforms. Joining him as co-hosts in this discussion were Kirthi Ganapathy, Customer Engineering Manager, Google Cloud India and Hitesh Kumar, Security Sales Specialist, Google Cloud India. The conversation focused on exploring the prospects, benefits, and challenges associated with integrating Gen AI into enterprise infrastructure, along with the current landscape of data platforms.

The key points highlighted by the CIOs and Digital leaders attending the session are:

  1.     In today's data-driven economy, data platforms have become indispensable tools for organizations, enabling them to make smart decisions. By integrating Gen AI with modern data platforms, organizations can unlock a new level of data-driven insights and capabilities, empowering them to transform their operations, innovate more effectively, and gain a competitive edge.
  2.     CIOs from the Manufacturing and Retail sectors have started adopting Gen AI, leveraging its capabilities for tasks like data verification, data consolidation, and data analysis to streamline operations, enhance decision-making, and improve customer experiences.
  3.     Decentralization of Data Storage and User access have raised severe data security and privacy concerns. This heightened risk has compelled CIOs to prioritize cybersecurity measures, seeking implementation of robust security protocols and centralized guidance center. Gen AI-powered counterfeit and lookalike detection is at the initial stage of adoption and has the potential to be a powerful tool for protecting consumers and businesses.

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