With so many applications for artificial intelligence, many agencies may be wondering how to utilize new technologies to solve mission problems in a way that is effective and appropriate. Different strategies can improve an organization’s data analytics and computing infrastructure. During this webcast, the Government Business Council will unveil insights from a forthcoming agency brief. Register today to hear government and industry tho...

Join this webinar to learn how to automate network analysis using Tableau Prep and TabPy with minimal effort and technical expertise. This approach to network analysis allows analysts with limited training to analyze networks with millions of nodes by leveraging machine learning and simple visualizations in Tableau. The technique has proven its value addressing priority intelligence requests in operational environments and radicalization resea...

Technologies like artificial intelligence, machine learning, and robotic process automation are revolutionizing the way that government works. Lack of resources across state and local governments coupled with increasing citizen demands for digital service delivery are driving agencies to tap powerful new capabilities in areas as diverse as infrastructure, call centers, cybersecurity, and health care. Join us to explore the nuts and bolts of th...

Join Defense One and INSA for a discussion around re-skilling, up-skilling and the data-related knowledge and tools required for the Intelligence Community workforce. We’ll delve into best practices for building up a future-focused workforce equipped to support the Community’s current and future AI demands. The panel will explore: Increasing data acumen Private and public sector investment in tools and training The benefits of Univ...

About AI in Government: AI in Government is where those working in and with the government get together to network, discuss, and interact on topics relating to AI, machine learning, and cognitive technologies. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals. ​ Agenda:11:30am-12:30pm: Presentation12:30pm-1pm: Wrap...

Join AFCEA DC on May 21 for AI+ML: The Virtual Experience. This free webinar will feature a keynote address by Lt. Gen. Shanahan, followed by three lightning round fireside chats as a preview to our AI+ML Summit on September 1, 2020.

Zero Trust is an important part of an overall digital transformation strategy because it recognizes the challenges of today's hybrid networks. Virtually every agency now has data and applications both on premises and in the cloud; The zero trust model secures those assets by authenticating both the users and their devices and by micro-segmenting the systems so that access to one part does not allow access to all. Advanced identity and access m...

Educational institutions, from primary through higher ed, are trying to adjust to a world where learning is delivered virtually. Unfortunately, most institutions are built on legacy infrastructure defined by on-premises applications, platforms and data warehouses that are disjointed, difficult to integrate and hard to scale. Because of these limitations, institutions have lagged behind the curve to leverage their vast amounts of data to drive...

Traditional data science education can be daunting ... years of mathematics, statistics, programming, algorithms, etc. What if you could "democratize data science" at your agency and give your existing staff the practical AI skills and experience needed to solve real-world problems to support your mission? This is where DataRobot's years of AI work with the federal government has led to best practices for agencies ready to foster AI fluency wi...

Data is a natural byproduct of the business of government. However, federal agencies have been challenged as they try to gather, cleanse, standardize, mine and share that data. Now, however, new legislation (the Evidence Based Policymaking Act of 2019) and policy (OMB memo M-19-23) lay out the path agencies must follow to identify the data they plan to collect, use or acquire, as well as the methods and analytical approaches to facilitate the...