Department of Water and Environmental Regulation

The Hill | February 10, 2020

President Trump’s budget proposal unveiled Monday includes significant funding increases for research and development of artificial intelligence (AI) and quantum computing. If approved, the fiscal 2021 budget would double nondefense AI spending from roughly $973 million to almost $2 billion. It would also significantly boost quantum information science research by 50 percent compared with last year, with plans to double investment by 2022. "Last year, the President committed to invest...

CellTrust Corporation | October 07, 2020

CellTrust Corporation, a leading provider of global secure and compliant mobile communication for government and enterprise, announced today that its flagship SL2™ mobile app is also now available with Microsoft Azure Government, featuring a dedicated instance to meet the highest level of government compliance. CellTrust SL2 is an enterprise-level application that works by assigning a dedicated Mobile Business Number™ (MBN) to personal and corporate-owned mobile devices to keep perso...

Emerging Technology

Ping Identity | February 16, 2022

Ping Identity , the Intelligent Identity solution for the enterprise, today announced a distribution partnership with Carahsoft Technology Corp., The Trusted Government IT Solutions Provider®, to help U.S. Federal Government agencies modernize the nation's cybersecurity defenses with advanced identity, credential, and access management (ICAM) capabilities. Under the agreement, Carahsoft will serve as Ping Identity's Master Government Aggregator®, making the company...

Government Business

DataRobot | January 19, 2022

AI Cloud leader DataRobot today released its State of AI Bias Report, conducted in collaboration with the World Economic Forum and global academic leaders. The report offers a deeper understanding of how the risk of AI bias can impact today’s organizations, and how business leaders can manage and mitigate this risk. Based on an exploration of over 350 organizations across industries, the research findings reveal that many leaders share deep concerns around the risk of bias in AI (54%) and ...