While Large Language Models have largely solved the unstructured data generation problem, forecasting and optimization are the next AI frontier to conquer. How can business leaders leverage generative AI to more accurately predict and plan for their products, sales, people, and budgets - especially in today's dynamic business environment?

Join us for a lively discussion where we'll challenge conventional approaches and dig into what it takes to successfully transform your enterprise decision-making with generative AI.

We'll discuss how to:

• Pick the right AI approach for the right use case
• Understand and unlock the value of your enterprise time series data
• Plan for uncertainty with probabilistic modeling
• Ensure data security and governance of enterprise data
• Adopt a change management approach for scalable AI deployment
  
  

Key Takaways:

• The right generative AI approach unlocks business insights from time series data to significantly increase the accuracy and the adaptability of your forecasting and planning
• AI models must train on enterprise data, not internet data, to ensure integrity, security, and governance
• Enterprises must prepare for generative AI with a comprehensive change management approach focused on innovation, education, collaboration, and ethical use of AI.