Session will focus on defining Machine Learning (ML) operational models and how enterprises can leverage it through a framework of governance and model risk management to unlock value. Operationalization is essential to realizing the business value of ML models. We will also overlay the paradigm of DevOps on ML lifecycle management including infusing automated validation of model, removing bias and measurement using KPI’s. Example framework and architecture of an ML operational model in action will be showcased, including a starter toolkit.

SPEAKERS:

-Utpal Mangla ( MBA, PEng, CMC, ITCP, PMP, ITIL, CSM ) is a Vice President and Senior Partner in IBM. He is the Global Leader of IBM’s Telecommunications, Media and Entertainment (TME) Industry’s Center of Competency. In addition, he leads the ‘Innovation Competency’ focusing on AI, 5G EDGE, Hybrid Cloud and Blockchain Innovations for TME clients worldwide. In his role as senior executive in the business and thought leader in emerging technologies, Utpal’s mission is to fuel growth by building, selling and implementing differentiated competitive market service solution offerings to meeting critical business imperatives of our customers.

Under Utpal’s leadership, IBM recently achieved the company’s mission of making “Watson AI touch 1.5 Billion Consumers” and creation of four “Industry Blockchain platforms”. Utpal is at the forefront of making Hybrid Cloud and 5G / EDGE technologies real for enterprises across the globe by deploying, scaling and replicating B2B solutions globally. Utpal’s team is leading the Telco Network transformation agenda for our clients.

-Shikhar Kwatra works as a Data & AI Architect in IBM with primary focus on Operationalizing AI models as core ML-Ops Leader. He pursued his Master’s in Electrical Engineering from Columbia University. He is recognized as the Youngest Indian Master inventor with over 350 Filed Patents and Inventions in the areas of AI/ML, IoT, Blockchain, Drones, Pervasive Wireless, Quantum Computing etc. He also holds the title of one of the youngest Academy of Technology members in IBM. He focuses his spare time on exploring AI-IoT technologies and leverages his technical background to work on new ideas with the aim to inspire every engineer to think from an inventive mindset.

Virtual: https://events.vtools.ieee.org/m/275216