The March 2022 AI in Government featured presentation speaker is Robert Keisler, Director, Data Science & Analytics, Naval Information Warfare Center Atlantic, US Navy presenting ‘How the US Navy Built its AI Practice Through Entrepreneurial Endeavors’ on Friday, March 18, 2022 from 11:30 AM - 1 PM ET! The Naval Information Warfare Center Atlantic at the U.S. Navy built a data science and AI practice in the US Navy grew from ju...

Enterprise Data & AI is hosting guest speaker Guy Hanson, Vice President, Customer Engagement (International) at Validity Inc. and his presentation "Prepping your CRM for AI: Why AI Initiatives Fail & How to Lay the Foundation for Data Success" Tuesday, March 15, 2022 at 12 PM - 1 PM ET! Welcome to the age of Big Data. With over 1.145 trillion MB of data created every day, go-to-market teams like yours have more information and r...

When the National Artificial Intelligence Initiative Act became law at the beginning of 2021, it added resources and high level support for the government’s expansion of its pilot AI projects into large scale applications. A new AI Initiative Office was created at the White House to provide policy guidance and help speed the use of AI to leverage government data. The Government Accountability Office published its Federal AI Accountabilit...

AI in Government is hosting guest speakers Don Heckman, Director Defense Cyber Solutions Leader at Guidehouse and Ranyah Salous, Associate Director Solutions Data Analytics at Guidehouse presenting ‘How to Leverage Automation to Enhance Cyber Resiliency’ on Tuesday, March 8, 2022 from 12 PM - 1 PM ET! Robotic Process Automation (RPA) is often misunderstood, oversimplified, or conflated with Machine Learning (ML) or Artificial Intel...

The March 2022 Enterprise Data & AI featured guest speaker is Agus Sudjianto, Executive Vice President, Head of Corporate Model Risk at Wells Fargo and his presentation"Adopting AI, ML, and automation in the banking industry" Thursday, March 3, 2022 from 11:30 AM - 1 PM ET! The banking industry has rapidly adopted Machine Learning for various applications for predictive analytics and process automation. The adoption of AI/ML is very natura...

Times are changing, and risks to organizations are becoming more dynamic. If the last few years have taught us anything, it’s this: Risk has become increasingly complex and the way organizations respond to and manage risk must change in response. A recent Forrester Consulting study commissioned by OnSolve found that organizations are underprepared, overconfident and lack the technology necessary to respond to and manage risk complexity....

The February 2022 AI in Government featured presentation guest speaker is Pamela Isom, Director AI & Technology at the U.S. Department of Energy presenting ‘Maximizing the Impacts of AI through Strategic Coordination, Planning and Customer Service Excellence’ on Thursday, February 17, 2022 from 11:30 AM - 1 PM ET! The pervasiveness of algorithms and our reliance on AI excellence for safety and security as well as for fun requir...

The February Enterprise Data & AI featured guest speaker is John Power, Chief Data & Analytics Officer at Equifax (Europe) and his presentation "Insights Learned on Explainable AI in a Global Data Environment" Thursday, February 3, 2022 from 11:30 AM - 1 PM ET! Advances in computing have generated the use of more data and complex algorithms that turn data into decisions and insights. New AI credit scoring technology is able to make cre...

As machine learning expands and larger organizations begin deploying across bigger teams, the need to efficiently operationalize becomes critical for enterprises. In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise. Join us for a discussion where we'll explore the benefits of MLOps and discuss when and how t...

While NOAA has achieved local successes in applying AI, a central entity to coordinate activities across NOAA will enable it to more effectively integrate AI in all NOAA’s mission areas. Successful AI integration requires both domain knowledge and modern AI technologies. It requires careful stewardship with domain knowledge since many of the challenges NOAA faces are constrained by physical principles. The NCAI is an essential component...