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Webinar
AI Forecasting That Businesses Actually Act On
Trusted by Industry Leaders for Delivering Cutting-Edge, AI-Driven Solutions That Drive Success.
abstract
A more accurate forecast does not automatically lead to better decisions. This session explores what distinguishes forecasting that drives business action from forecasting that sits on the shelf, featuring two real-world engagements examined end to end, with dedicated time for audience questions.
Organizations invest heavily in forecasting and then watch the output sit in a report while people carry on using their spreadsheets. Accuracy improves, dashboards get built, and very little about the way decisions are made actually changes. The gap is rarely technical. Forecasting pays off when it is built around a decision someone owns, delivered in a form they trust, at a moment they can act on.
This webinar explores what it takes to bridge the gap between forecasting and business action in real-world environments. Through two detailed case studies, we will examine what was delivered, what changed as a result, and the lessons learned along the way. Rather than reviewing forecasting techniques, the session focuses on the organizational and practical factors that determine whether forecasts drive decisions and gain adoption.
webinar Details
Date
Thursday,
September 3, 2026
Time
10:00 AM EST (New York)
5:00 PM KSA (Riyadh)
6:00 PM GST (Dubai)
duration
1 Hour
SPEAKERs
Krishnan Sankaranarayanan, PhD, MBA
Krishnan Sankaranarayanan, PhD, MBA, is a seasoned executive with over 24 years of experience in the chemical and energy industry. He obtained his PhD in Chemical Engineering at Princeton University, after which he spent 1 2 years at ExxonMobil, followed by 12 years at SABIC, in a host of different roles. Most recently, he was responsible for the AI transformation at SABIC across all domains and geographies. Krishnan, also teaches at the University of Houston (AI for Chemical Engineers, and Chemical Industry Strategy), and Columbia University (How to make AI implementations for) for executives.
Akshay Deshpande
Akshay Deshpande is a senior AI leader with deep expertise in enterprise Artificial Intelligence strategy, Agentic AI systems, and large scale digital transformation. As Senior Director of AI at Soothsayer Analytics, he leads the design and deployment of enterprise grade AI solutions across manufacturing, energy, retail, healthcare, finance, and education sectors.
Akshay has extensive experience building scalable AI architectures that integrate data engineering, machine learning, Generative AI, and Agentic orchestration within governed enterprise environments. His work focuses on transforming fragmented workflows into intelligent, auditable systems that drive measurable business impact.
Key Takeaways
This session is designed to provide practical clarity, not just conceptual understanding. Participants will leave knowing how to:
Accuracy Isn’t Adoption
Understand why a more accurate forecast does not automatically lead to better business decisions or changed behavior.
Start With the Decision
Learn what needs to be in place for a forecast to become a trusted input to a decision someone actually owns.
Build for the Business Context
See how timing, workflow, ownership, and trust can matter just as much as the forecasting model itself.
Learn From Real Engagements
Walk through two real engagements end to end, including what was delivered, how it was used, and what changed as a result.
Turn Forecasts Into Action
Take away practical lessons and hard-earned judgment calls for moving forecasting from a report into everyday business decisions.
Who Should Attend
Supply Chain and Planning Leadership
Demand planners, S&OP leads, and inventory managers accountable for decisions driven by forecast output
Finance Leaders
Leaders responsible for revenue forecasting, budgeting, and working capital planning
Commercial and Sales Operations
Teams that plan around demand signals and are measured on forecast reliability
Digital, Data, and Transformation Leaders
Leaders driving analytics and enterprise AI adoption across business functions
If you are looking to turn forecasting and AI investments into measurable business outcomes while avoiding the common challenges that prevent forecasts from being used effectively, this session is designed for you.
