A key part of DCOI has been identifying viable commercial alternatives to traditional federally built, owned and operated facilities. These facilities often succumb to capacity constraints, spiraling OPEX/CAPEX expenditures and stifled innovation. However, innovation is critical to keeping pace with new technologies that can often translate into enhanced operational efficiency, enhanced security, cost avoidance and many of other features integral to mission execution.
For Federal agencies accustomed to building their own, independent IT shops where data is siloed to each agency, these mandates may be a tall order to fill. So how can they succeed?
Meeting the new AI mandate is a tall order for U.S. Federal Government agencies, with a lot at stake. It not only requires investment in AI and cognitive technologies, but a focused strategy on how to integrate them with other technologies (e.g., cloud, data management, analytics and cybersecurity) for governments to succeed in an increasingly digital world.
For most, “analytics” represents a broad term, and rightfully so. As the prevailing winds of digital transformation continue to push interconnection to the digital edge, a plethora of real-time analytics requirements (and capabilities) have irreversibly raised the ante for immediately available insights on topics as far ranging as petroleum futures and retail purchasing trends to the depths of cyber security counter-intelligence.