Uncertainty and volatility are compelling business leaders to apply data science and AI innovation to a broader set of organizational functions. How do you predict customer behaviors when models are becoming outdated very quickly? Are you challenged with tackling staff productivity and logistics when balancing remote and physical work? With an integrated approach to AI, organizations can increase predictability, optimize operations and drive resiliency even when market conditions are rapidly changing — from customer experience and workforce optimization to inventory optimization and risk management.
In part 1 of the webinar series, we will discuss scenarios where models become outdated and provide approaches to model validation and management to produce better outcomes. We will cover:
Presenters:
Nerav Doshi
Digital Technical Engagement Lead, Decision Optimization and Watson Studio Premium, IBM Data and AI
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Eric Martens
Digital Technical Engagement Lead, Watson OpenScale , IBM Data and AI
Julianna DeLua
SME, data science and AI, IBM Cloud Pak for Data, IBM Data and AI