This year, AI catapulted to the front pages, introducing chatbots and generative AI capabilities to a mainstream audience.
If you work in a government agency you aren’t isolated or immune from the hype. In fact, many Americans are wanting to know how the government will use this technology to provide cheaper and faster services.
AI offers tremendous value for agencies across every level and branch of government. In recognition of its importance, recently, the IT Modernization Centers of Excellence (CoE) issued the AI Guide.
The stated goals of the AI Guide are to help government data leaders:
• Understand what to consider as they invest in AI and lay the foundation for its use
• Think through the building blocks required to take advantage of AI
• Explain how to do so responsibly
Responsible AI use will be key and the AI Guide devotes an entire section to data governance. Data governance and management are indeed “central to identifying AI use cases and developing AI applications,” as the CoE writes.
When the 2018 Evidence Act became law, Collibra was the technology of choice for the Federal government. The new AI Guide builds upon this and doubles down on the need for data governance. We’re aligned on the outlined importance of data governance. Privacy. Bias. Hallucinations. We’ve heard the news and know the risks when AI goes wrong. If trusted data isn’t intelligent, it’s a recipe for disaster.
To speed modernization and meet federal guidelines, we’ve seen the introduction of solutions like Collibra can help agencies overcome the challenges of AI.
Data governance takes off
Nowhere is AI data governance in government more evident than in the U.S. Air Force.
From the F-35 platform to unmanned aircrafts, the Air Force is leveraging innovative approaches to data to extend its capabilities.
Recently, the Fighter Optimization eXperiment (FoX) sought to rapidly integrate advanced software and hardware technologies to maximize the F-35’s lethality and survivability.
“In order to stay competitive, we have to innovate,” said FoX test flight commander Lt. Col. Raven LeClair. “It’s as simple as that.
“We want to shift timelines from capabilities being fielded in years to a matter of months or weeks. Both hardware and software.”
“Everybody who’s ever flown with an electronic flight bag … understands the need to go faster and to innovate at a pace that we cannot do in our current method of software development.”
To take decisions out of the pilot’s hands to make them more effective, the FoX team leveraged AI, and accelerated time-to-value thanks to data governance. Data governance is what helps to ensure that the data being used for AI is good quality, trusted data.
Across government agencies, the application of data governance within programs such as the F-35 and others is driving substantial value.
With the recent introduction of the White House’s Blueprint for an AI Bill of Rights, and other agency frameworks, more and more government data leaders will be expected to leverage data governance to drive better results.
The value of data governance
The truth is if you’re using Collibra or another data catalog solution, and you’re looking to apply AI, or even generative AI, then the good news is it’s a familiar framework for success.
No matter where you are in your data intelligence and AI journey, Collibra unites organizations with trusted data that’s easy to find, understand, and access so you can do more with your data.
Think of the AI governance framework as not only a blueprint for how to create successful AI products but a repeatable process for driving long-term, reliable success with AI.
Collibra Data Governance provides a foundation for data governance that ensures streamlined, ethical AI practices that can drive unparalleled productivity gains and help government agencies:
- Mitigate risk
- Adhere to legal requirements
- Protect privacy
Thinking about leveraging AI? Already running AI initiatives? You’ll want to make sure your program is adhering to federal guidelines and unlocking new value.