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Exploring AI Solutions: Azure AI, Copilot, Data Management, and Cybersecurity with Naveen Krishnan
Episode 1453

Exploring AI Solutions: Azure AI, Copilot, Data Management, and Cybersecurity with Naveen Krishnan

Business of Tech: Daily 10-Minute IT Services Insights

November 10, 202419m 56s

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Show Notes

In this bonus episode of the Business of Tech, host Dave Sobel engages in a thought-provoking discussion with Naveen Krishnan, an AI architect at Microsoft. The conversation centers around the evolving landscape of artificial intelligence and its applications across various industries, including retail, financial services, and manufacturing. Nupi shares insights into how businesses are increasingly looking to integrate AI into their existing solutions or develop new ones, highlighting the importance of understanding each customer's unique needs and use cases.

Krishnan elaborates on the common use cases for AI that he encounters, emphasizing the growing interest in chat capabilities and dynamic reporting. He explains how businesses are moving away from traditional canned reports and seeking more interactive, natural language-driven reporting solutions. Additionally, he discusses the rise of AI agents, which can perform tasks autonomously, such as generating images or managing DevOps pipelines, showcasing the potential for AI to streamline operations and enhance productivity.

The conversation also delves into the critical role of data management in successful AI implementations. Krishnan distinguishes between structured and unstructured data, explaining the necessity of preparing data effectively to leverage AI's capabilities. He outlines strategies for managing data, including creating views to filter relevant information and implementing security measures to protect sensitive data. Krishnan emphasizes the importance of a well-structured data pipeline, particularly for industries dealing with large volumes of unstructured text, such as law firms.

As the episode concludes, Krishnan shares his vision for the future of AI over the next 24 months, predicting a focus on refining existing technologies and addressing current limitations. He anticipates the emergence of more sophisticated AI agents that can perform complex tasks and interact seamlessly with users. This forward-looking perspective highlights the ongoing innovation in the AI space and the potential for businesses to harness these advancements to drive efficiency and improve customer experiences.


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