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...

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...

Capably matching names and other personally identifiable information (PII) is critical to any effective compliance screening system: failure puts reputation, finances, and ethics on the line. Unfortunately, globalization coupled with the economic impact of the pandemic is testing screening systems like never before. As applications pour in, these systems are being asked to process key identity data in a huge variety of languages at unprecedent...

Artificial intelligence might feel like something from the future, but many federal civilian and defense agencies have already integrated this technology into their plans for mission delivery. Leveraging AI in government operations promises to increase speed, efficiency and analytical power; it even has the capability to strengthen the security of data and critical infrastructure. As government agencies implement new technologies, they must do...

During this session you will discover the Microsoft Natural Language Processing repository and learn about building NLP systems at scale. You’ll learn how to develop and manage state of the art models, including BERT, using Azure Machine Learning for multiple NLP scenarios. This new topic is designed to give you hands-on experience with Microsoft AI Azure technology, learn how to make the most of your information, and maximize your compa...

As enterprises increasing adopt AI and ML, the need to manage these models becomes increasing important. Join our webinar Apr 28 at 12noon EST to learn more about why the ability to deploy new models remains a challenge, and why the idea of MLOps is so important.

America’s intelligence collectors are already using AI in ways big and small, to scan the news for dangerous developments, send alerts to ships about rapidly changing conditions, and speed up the NSA’s regulatory compliance efforts. But before the IC can use AI to its full potential, it must be hardened against attack. The humans who use it — analysts, policy-makers and leaders — must better understand how advanced AI...