Asha Poulose Johnson

VP & Global CIO, Data and Analytics at GE Healthcare

Asha is currently the Vice President and Global CIO for Data Analytics at GE
Healthcare. In this role Asha is responsible to drive profitability and growth and a data
driven culture at GE Healthcare. Her responsibilities span Enterprise data platforms and
architecture, reporting, advanced analytics and Data Science across
Commercial/Marketing, Finance, Supply Chain, Services, Engineering, quality and other
domains. With a team spread across US, Europe and South Asia key priorities are to
build the next generation data platforms and drive cross-functional analytics leveraging
AI/ML in support of GE Healthcare growth Priorities. Asha has 20+ years of Digital and
Management experience with deep expertise in developing digital strategy to drive
business Imperatives, data analytics, Software Product development, and building and
leading high performing global teams in both global and regional roles. She is
passionate about working with early career talent, academia and helping with diversity
Asha holds a Master’s degree in Engineering from IIT Mumbai and a Bachelor’s degree
in Engineering from NIT Calicut. She currently heads the GE Women’s Network
initiatives for GE in South Asia. She is a steering committee member of the COE for
Data Science and Artificial Intelligence by NASSCOM - the apex body for IT industry in
India. Asha is the recipient of numerous Industry recognitions the most recent being the
“Digital Disruptor ” award from IDC.


Day 1 - Knowledge Talks 28 May

From Silos to Scale - Operationalizing AI & ML across the enterprise

While there is a lot of rapid advancement made in AI/ML with Auto ML, deep learning NLP, Neural nets etc. the true business benefits received fall far behind. Many a time AI/ML falls far behind to deliver on its promise to rapidly transform businesses and drive profitability. One of the key gaps is the inability to shift from point based solutions to an interconnected ecosystem of AI/ML solutions that spans and scales across the enterprise.

How can an enterprises move from an AI experimenter to operationalizing AI to being an AI driven business. While the pace can be varied the strategic shifts and technological investments needed remain fairly similar. This talk focusses on how to these shifts can be made and unleash the power of AI/ML to rapidly reap the benefits for the business.