Federal agencies are working to align their initiatives with the White House’s Management Agenda and deliver on the promise of an “equitable, effective, and accountable federal government that delivers results for all.” By harnessing the power of innovation and the collective mindshare of those in government and industry, these benchmarks may be achieved, resulting in citizen services that are simple, accessible, and secure....

The public sector is overburdened with repetitive and administrative work. But with automation, agencies in federal, state, and local government are offloading low-value work so that people can focus on serving the mission. From citizen service delivery and health care to rooting out fraud, waste, and abuse, automation boosts the government’s capacity, speed, accuracy, and resilience while improving employee and citizen engagement. Join...

Emerging computing technologies—from cloud, to edge, to machine learning, artificial intelligence and others—are helping agencies to achieve better, faster, cheaper processing and problem solving, as well as more efficient applications. With their increasing incorporation into federal agencies’ everyday operations, these technologies also bring challenges, from security to operational and data privacy issues. Cloud computing...

New technologies like Intelligent Automation, Quantum, and Edge Computing are already inspiring digital transformations and new work models, introducing new opportunities, improving customer experience, and providing a competitive edge for both government and industry. Innovation and technology redefined our pandemic work environment with agility and adaptability to better meet and anticipate customer expectations. Technology-enabled innovatio...

Women Empowering Women Women in today's era, more than previous times, are navigating pathways to more senior management and executive positions, while managing their work and home life, their steps in growth, and their selected roles, especially in fields where women are underrepresented. The second annual Women in Leadership Forum will focus on the techniques and steps of how women in primarily male-dominated organizations or agencies have a...

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...

At Shopify, we have over 1.7 million merchants across over 175 countries, with hundreds of millions of consumers shopping at their stores. We’re focused on leveraging the scale of our data to not only empower Shopify, but to create new experiences for our merchants that are impossible without data. In our daily operations at Shopify, we are highly data informed. Some of the ways we’re leveraging advanced analytics is by building an...

Data quality is of the utmost importance when it comes to actionable insights and model performance. In this presentation, Vinay Malkani, Figure Eight Federal's Chief of Engineering will discuss why quality data is critical, opportunities and challenges associated with data, and how to integrate multiple data sources to produce consistent, accurate, and useful information. Jack Hild, National Geospatial-Intelligence Agency (NGA) Hall of Famer...

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation...