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Rahul

Singhal

Chief Product & Revenue Officer

Innodata

As Innodata’s Chief Product and Revenue Officer, Rahul drives overall product vision, strategy, and marketing to position Innodata as a leading AI/ML vendor. His teams develop cutting-edge generative AI solutions that are productionizing AI for the future. Taking generative AI offerings to new heights, Rahul secured Innodata as a Gartner Cool Vendor and also speaks regularly on expert panels and podcasts. Prior to joining Innodata, he was Chief Product Officer at Equals 3, an AI marketing platform that won several accolades including Gartner Cool Vendor, CES Top 5, and IBM Watson ISV award. Before Equals 3, he spent 12 years at IBM, the last three of which he spent leading the product portfolio for the Watson Platform which included a collection of APIs for vision, speech, data, and language. During his tenure at Watson, he grew usage of the services by over 100X and launched over 15 new services. Prior to Watson, Rahul was a member of IBM’s Strategy and Transformation Practice. Mr. Singhal is also an at New York University (NYU) where he teaches Competitive Strategy and Advanced Experimental Design and Machine Learning.

12 February 2025 09:30 - 10:00

Deploying GenAI applications safely and responsibly

As generative AI systems rapidly transition from research labs to real-world applications, ensuring reliability, safety, and trust is more critical than ever. In this session, we explore how to balance innovation with responsibility by diving into the entire lifecycle of AI model development—from selecting the right model and crafting effective prompts to fine-tuning on private datasets and conducting rigorous, comprehensive testing. We will discuss how to detect and mitigate pitfalls such as hallucinations and factually irrelevant outputs, highlighting the importance of both manual red-teaming approaches and automated benchmarking tools. Through real-world examples, you’ll see where AI models can fail and how to address vulnerabilities. We will also introduce new strategies for continuous monitoring and feedback, ensuring your AI stays aligned and resilient in production. Our live demo will showcase automated evaluation models and real-time red-teaming, equipping you with the knowledge to deploy AI solutions responsibly—so you can innovate without compromising trust or integrity.