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Oliver Wise
Data for better public policy outcomes
Oliver Wise is currently serving as the Chief Data Officer at the U.S. Department of Commerce, a position he has held since March 2022. In this role, he is responsible for leading the department's data strategy, enhancing its capacity for evidence-based decision-making, and aligning data resources to better meet user needs. He also chairs the Commerce Data Governance Board, overseeing the department's data governance programs.1
Before his current role, Wise was the Director of Recovery Solutions at Tyler Technologies from April 2020 to February 2022. There, he led the development of solutions that provided economic insights to state and local economic development leaders.1 Prior to that, he served as the Director of Socrata Data Academy at Tyler Technologies, where he developed data analytics workshops and created strategic partnerships to enhance business development and client outcomes.1
Wise holds a degree from NYU Robert F. Wagner Graduate School of Public Service and is based in the Washington DC-Baltimore Area.1 His professional achievements have been recognized with several honors, including being named in the "Data Leaders 100" by CDO Magazine in December 2023 and receiving a "FedScoop 50 Federal Leadership Award" in November 2023.1
Highlights
When APIs hit the scene in the early 2000s, innovators in government and civil society met the moment and transitioned from publishing data from merely human-readable tables to machine-readable formats, vastly scaling the ability of users to derive insights from data leveraging newly available BI tools, statistical software, and their own contextual understanding of the data.
Now, with the eruption of AI, I believe we’re at a similar, if not even more profound juncture. With the potential of countless users now analyzing data leveraging NLP and generative AI, we must rethink how we publish government data to meet the promise of these technologies to democratize access to data.
It is our hypothesis that the machine-readability paradigm of the open data era is insufficient to meet the moment. If users will be using AI as intermediaries to analyze public data, we must make data not only machine-readable but machine-understandable, so that the meaning of the data is not lost in translation and that users can reliably obtain meaningful, accurate, and fit-to-purpose results from their queries. There is much industry needs to do (and is doing) to make data analysis with gen AI more reliable, but publishers of public data have to do more to do too.
I’m excited that the U.S. Department of Commerce has released a Request for Information (that’s government-speak for a Facebook “poke”) to industry, academia, the civil sector, and other government data publishers on how we can better publish data so that we can enable user experiences where anyone can “talk to their data” with Gen aI. If you are innovating with GenAI to expand access to public data, we want to know about it and hear your input about what possibilities could be unblocked if public data was published in more AI-ready ways.
Our office is hiring a Director of the Regional Economic Research Initiative. The Regional Economic Research Initiative is a Department of Commerce data effort to improve our nation’s understanding of local regional economies and their ability to compete.
Launched in March 2023, the Regional Initiative aims to equip public and private sector decision-makers at every level with research and data tools to address entrenched and growing geographic inequality and better meet the economic needs of those they serve.
We are looking for an entrepreneurial leader who can apply data to create insights on place-based development. Come join us!
