Operationalizing Enterprise Cloud at Scale

Spring 2021

2021 is a planning year. It’s about being reflective on the decisions that were made during the pandemic and choosing which ones to operationalize. Many corporations will be exiting public cloud experiments, or proofs of concept, in 2021 and moving into production. This sums up 2021: it’s to get ready for 2022, the year of the great enterprise cloud scale up. But to scale you need to operationalize and automate.  In this ONUG C-level roundtable learn what decisions made in 2020 will be operationalized to scale and how.

Speakers:

As a Managing Director in Accenture’s Boston Office, Theo helps to lead its Technology Strategy & Advisory Services across North America. Theo’s client work focuses on partnering with C-level executives on their digital transformation strategies including digital technology roadmaps for cloud migrations, re-imagining user experiences for the digital economy, architecting enterprise scale deployments of automation and machine learning solutions to drive operational excellence, and helping to lead disruptive management for blue chip companies. Theo works closely with clients to realize their bottom and topline goals through the strategic deployment of technology to drive new forms of economic and customer value. 

Linda Tai reports to the Executive Vice President and Chief Operating Officer. In this role, Tai leads the development and execution of the Fannie Mae business architecture strategy and production processes that aligns with our enterprise mission and overall corporate strategy. Her work will ensure that our digital transformation plans, processes, and systems deliver the insights we need to be a more innovative organization, support our customers and partners, and drive digital transformation throughout housing finance.

Accomplished IT executive building/leading high-performance teams with a reputation of broad industry influence. Track record of leading cloud transformation, modernizing data analytics, implementing machine learning, tireless prompter of open source and executing scaled agile with significant P&L responsibility.

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