Wednesday, April 30, 2025 at 2:00 PM ET

In today’s AI-driven landscape, businesses struggle with data readiness—poor quality, limited volume, and ethical constraints threaten the success of generative AI initiatives. In addition, questions are frequently asked about improving data quality, what to do with limited data volume, and how to address ethical constraints that threaten the success of generative AI initiatives. This session will explore why these challenges can lead to biased, inaccurate, or outdated outputs that erode customer trust and ROI.

By attending this session, you will:

• Learn strategies to ensure high-quality, diverse datasets that power reliable AI outcomes.
• Discover how to streamline preprocessing, scale infrastructure, and maintain current data in a compliant way.
• Leave with insights to transform your data into a competitive edge for Generative AI innovation.

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Speakers

Nish Patel
Partner, Global OCI Lead, IBM Consulting

Nish is a Partner in IBM Consulting’s OraclePractice .  He is responsible for helping clients with navigating, evaluating, and driving value from their cloud journey.  Nish has ~25 years of experience providing Data & Cloud strategy, ERP strategy, Application Security, and Technology Advisory services across various industries.

Sandhya Ranganathan Iyer
Associate Partner in AI & Analytics, IBM Consulting

Sandhya is an Associate Partner in AI & Analytics at IBM Consulting. She leads Generative AI and AI engagements at scale across clients. With expertise in AI/ML architecture, GenAI best practices, and ML/LLMOps across major cloud platforms, Sandhya brings 10+ years of technology experience into solving client problems across domains such as CPG, Retail, Healthcare, Finance, and Telecommunications.