Preparing Data for AI

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4M ago 27:20

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As AI reshapes industries, businesses find that preparing data for AI presents challenges that traditional analytics have yet to encounter. AI's complexity requires a new approach to data management involving careful alignment of architecture, governance, and stakeholder participation. Inadequate preparation can swiftly undermine AI projects, creating risks that leaders must identify and mitigate. Therefore, a solid data preparation strategy is essential to unlock AI's potential while minimizing its inherent risks.

What specific challenges arise when preparing data for AI? How can organizations ensure they have the tools and frameworks to create a robust, adaptable data architecture? And what ethical and strategic guardrails should be in place to support the evolving role of AI in decision-making? Guest: Nitin Sharma, Global Director, Partner Business Development, Microsoft

Guest Bio:https://www.ciotalknetwork.com/contributor/nitin-sharma/

Guest: Saurabh Jha, SVP & Global Head - Data & Analytics, Tech Mahindra

Guest Bio: https://www.ciotalknetwork.com/contributor/saurabh-jha/

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