Jane Edwards
Steve Orrin, chief technology officer at Intel’s federal arm, said becoming a data-driven organization in the public sector calls for agencies to know how to effectively leverage data.
In a DataFramed podcast aired Monday, Orrin highlighted the key role of data in enabling the U.S. government to deliver citizen services and support national defense.
“But I think at its core, most of the US government has recognized that data is an essential component to affecting the mission and, and driving the scale that they have,” he noted.
In this interview, Orrin discussed the concept of iterative learning for artificial intelligence practitioners and data scientists.
“A lot of the data scientists I work with AI folks is, you know that iterative learning is not just for the model, it’s them as well, learning what works and what doesn’t, and trying different models, approaches to solve the problem,” he explained.
Orrin talked about the importance of implementing “privacy by design,” a process that involves tagging data with governance and policy controls at the beginning of the data lifecycle and characterizing data on ingestion to facilitate the application of policies.
“The other aspect of privacy design is not just on the, you know, it’s on the data, but also on the tools,” he noted.
“Having controls built into the tools that apply to my access to data, strong authentication, being able to apply access control policies of how much of the data do I need to see. And this is where some newer technologies are being looked at,” Orrin added.
Click here to read some of Orrin’s featured articles for Executive Mosaic’s GovCon Expert program.
