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The AI in Business Podcast
Driving AI Infrastructure in Compliance-Heavy Industries - with Shardul Vikram of SAP
Sep 5, 2024
21:41
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Shardul Vikram, CTO and Head of Data & AI for SAP Industries, shares insights on cloud adoption in regulated sectors like life sciences and finance. He discusses the necessity of hybrid models that combine cloud and local storage to meet compliance requirements while maximizing scalability. Shardul explores the role of object storage for unstructured data management and highlights challenges in managing AI infrastructure in compliance-heavy industries. He also emphasizes the ongoing relevance of hybrid strategies for future technological advancements.
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Quick takeaways
- A hybrid data storage model is essential for compliance-heavy industries, balancing sensitive data control with cloud scalability.
- Organizations must adapt their storage solutions to manage the increasing volume of unstructured data for effective analytics and competitiveness.
Deep dives
Cloud Adoption and the Hybrid Model
Cloud technology has significantly progressed over the last decade, achieving many of its original promises such as increased scalability and efficiency. However, many industries, particularly in regulated fields like life sciences and finance, face challenges balancing their data storage between cloud and on-premises solutions due to compliance and regulatory requirements. A hybrid model has emerged, allowing companies to store sensitive and compliant data locally, while leveraging the cloud for less critical workloads. This approach ensures that organizations can maximize the benefits of cloud technology while maintaining necessary control over their most sensitive data.
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