This past month, the U.S. Department of Health and Human Services (HHS) announced the awardees selected to provide Intelligent Automation/Artificial Intelligence (IAAI) solutions, services and products to the agency through their Program Support Center (PSC). As the leader of our U.S. public sector operations, I am happy to share that Trifacta is one of the technology vendors supporting the five year $49M HHS IAAI IDIQ contract.
It’s a great validation of the importance of data wrangling for analytics, artificial intelligence and machine learning projects within the public sector. As the global leader in data preparation, we’ve seen tremendous interest in leveraging Trifacta to clean and prepare data for downstream use in machine learning solutions such as DataRobot. I have included a demo from my colleague Vijay demonstrating a common use case of how Trifacta can be used for formatting data to drive predictions in DataRobot.
The message we consistently hear from various federal agencies is – We have thousands of analysts and all of this data but no way to make sense of it all. This challenge of exploring and refining diverse data for analytic use is exactly the problem we’re solving at Trifacta.
And this pain is also only getting more acute. As organizations transition more workloads to the cloud, the expectations around turnaround time and providing self-service only heighten. Trifacta has been architected with this platform shift in mind supporting data preparation acrosse on-prem, cloud, hybrid and multi-cloud environments.
Through the work we’ve done to date and the new projects we’re kicking off with various federal agencies, there is endless opportunity for faster and more accurate data wrangling within the public sector. Our ability to empower agencies to accomplish their missions leveraging Robotic Process Automation (RPA), AI and ML in order to automate and reduce lower-value work has been transformational. We’re excited to expand upon the value Trifacta is bringing to federal agencies with this opportunity at HHS and driving success with AI in the federal government. As anyone who has worked on AI initiatives can tell you, data preparation and data quality are critical to their success.
Needless to say, it’s a busy time for our public sector team at Trifacta and we’re looking forward to working with agencies across FedCiv on these initiatives to show the value that we generate across the federal agency spectrum.