Introducing Suresh Vadakath, Arize’s Senior Solutions Architect

Arize AI's Senior Solutions Architect, Suresh Vadakath, brings over a decade of experience in consulting and technical client-facing roles from companies like Dataiku, DataRobot, and Alteryx. He focuses on presenting Arize's platform and ideating on ML observability examples and integrations into the customer's environment. Suresh emphasizes the importance of ML observability for risk management purposes and ensuring timely resolution of issues in high value use cases with growing prediction volumes and large model portfolios. He highlights that a good ML observability platform should provide insights for scenarios involving structured and unstructured data elements in a centralized place. Suresh has observed unique challenges facing financial services companies deploying models into production, such as skepticism from users, data appropriateness and preparation, and regulatory scrutiny on fairness and bias. He believes that communication is key when working with ML observability systems due to the constant gray areas involved.