There are only two months left in the calendar year and the federal government is already several weeks into fiscal 2020. Given this, the current administration has started to outline its technology initiatives for the coming year, focusing on identity management, supply chain, network monitoring, and IT modernization.
IT modernization is something that the government has always seemed to be in need of, and this year has seen concrete steps to progress, particularly through the Technology Modernization Fund. The TMF recently authorized grants to the Department of Agriculture and the Equal Opportunity Commission, bringing the total grants awarded to nine, and the fund to less than 20% of its endowment.
Agencies may have to concentrate more on their own funds going forward, though, as next year’s budget negotiations make no guarantees of the TMF being replenished. Agencies may be able to realize IT dollars as they use modernization to reduce burdensome manual activities, as we’ve seen with groups like HUD and GSA, which implemented robotic process automation technology to reduce thousands of hours of employee time.
While the administration is pushing for advancement within government agencies, the Federal Acquisition Supply Chain Council is hoping to lock down agencies from disreputable vendors. New criteria will allow the government to better assess the risks of different vendors and their products, while the council itself will label certain vendors as problematic, opening up the possibility of a complete government contracting ban for offending parties.
Identity management will be another big focus of the coming year, ranging from employees and contractors of agencies like the Department of Defense to the ever-increasing number of services that reach citizens directly, often through their mobile phones. The trend is to move toward a policy of zero-trust, which allows for fewer opportunities for an account to be compromised. eti
All of this will be supported by cybersecurity staff, who will benefit from an increase in cyber training programs and automated continuous monitoring programs to free them up to work on tasks more suited for human intervention.
At Extract, our priorities are to safeguard information and allow employees freedom from manual and repetitive workflow tasks. Our automated redaction software uses machine learning techniques like named entity recognition and natural language processing to read your documents like a human would and find the information you need redacted. If you’d like to learn more about how we can help you automate your redaction or indexing workflows, please reach out today.
About the Author: Chris Mack
Chris is a Marketing Manager at Extract with experience in product development, data analysis, and both traditional and digital marketing. Chris received his bachelor’s degree in English from Bucknell University and has an MBA from the University of Notre Dame. A passionate marketer, Chris strives to make complex ideas more accessible to those around him in a compelling way.