Operationalize AI at scale: From drift detection to monitoring the business impact of AI (sponsored by IBM Watson)
With the potential to transform businesses, AI has become a strategic imperative for most enterprises. A lot of investment is toward machine learning and deep learning models to support business applications. However, these models bring about risks and uncertainties that are difficult to manage. Especially in regulated industries like financial services, the use of AI is subject to existing regulations and proposed new ones. In addition, as the business situation changes, a model’s prediction may not be in line with meeting business outcomes.
Manish Bhide and Rohan Vaidyanathan take a deep dive into how Watson OpenScale allows business managers, risk managers, and auditors to manage these risks by monitoring these models. Watson OpenScale helps to validate and monitor models for the impact of drift on a model and how it impacts business KPIs. You’ll also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production.
What you'll learn
- Learn how Watson OpenScale helps you manage the risks of AI
Manish Bhide is a chief architect of IBM Watson OpenScale. He’s been with IBM for more than 17 years and has worked across different parts of IBM such as IBM Research and IBM Analytics. Manish has a passion for innovation and is credited with conceptualizing several technological innovations that have made an impact on IBM’s products and offerings. Manish is a prolific inventor and has filed more than 50 patents and has published more than 25 research papers in IEEE/ACM conferences. He holds a PhD in computer science.
Rohan Vaidyanathan is the lead Offering Manager for IBM Watson OpenScale. He is focused on building systems that can help bring transparency in AI to business stakeholders and help them trust the AI models infused in their applications. He works closely with IBM Research to productize technologies that can ensure fair, explainable, compliant and measurable outcomes from AI models. Before OpenScale, Rohan built and scaled the business for Hadoop and Spark analytics platform on IBM Cloud. He has a Bachelors degree in Computer Science from Mumbai University and an MBA from University of North Carolina, Chapel Hill.
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