Sign In
Register

Partner with us

Register now

Call to action
Your text goes here. Insert your content, thoughts, or information in this space.
Button

Back to speakers

Reshma
Krishna
Vice President of Product - Retail and CPG
SymphonyAI
Reshma brings over 17 years of extensive experience in product and technology to the forefront, establishing herself as a visionary leader and an expert problem solver. Her impressive background spans diverse sectors, including digital marketing analytics, audience research, retail, CPG market research, and insurance industries. In her role as GM/Global Product Leader of Digital Shelf Optimization (DSO) at CommerceIQ, Reshma leads cross-functional teams in developing and delivering innovative, scalable solutions that enable brands to optimize their online presence and performance across various channels and platforms. Her expertise encompasses product management and strategy, product discovery, new product development, competitive and ROI analysis, data solutions and monetization, data integration and management, leadership, agile methodologies, client satisfaction, and user experience. A Certified Product Executive from Product School, Reshma's global collaboration experience consistently drives bottom-line results and ensures customer satisfaction.
Button
20 November 2026 11:45 - 12:30
Panel: Engineering intelligence, building the AI & data foundation for predictive product leadership
In a world of constant change, product teams need more than just intuition—they need engineered intelligence. Join us for a dynamic discussion that moves beyond theory to explore the practical AI and data foundations required for predictive product leadership. We'll dive into the technical blueprints and strategic shifts that empower product teams to anticipate needs, optimize resources, and build unwavering trust. Our expert panel will uncover practical strategies for: - Building your data moat: Learn how to design and govern the data pipelines that fuel powerful AI, including how to leverage unstructured insights. - The MLOps imperative: Discover how to reliably deploy, monitor, and scale machine learning models for continuous product improvement. - AI-driven optimization: See how to use AI for advanced experimentation, hyper-personalization, and dynamic product optimization. - Responsible AI in practice: Understand how to engineer fairness, transparency, and privacy directly into your AI systems from day one. This panel is essential for any product leader ready to build truly intelligent products for an AI-first world.