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...

Find out about Scotland’s AI Strategy: Trustworthy, Ethical and Inclusive. Scotland’s AI Strategy sets out a vision for Scotland to become a leader in the development and use of trustworthy, ethical and inclusive AI. It sets the principles that will guide us, including the OECD’s AI Principles, and UNICEF’s Policy Guidance on AI for Children and identifies the actions we’ll take develop and strengthen our AI ecosy...

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...

In response to the growing threat of wildfires, on June 30th, 2021 the current administration assembled Governors from Western states, Cabinet officials, and various partners to discuss ways to protect communities across the country from wildfires and their devastating impacts strengthening fire prevention, preparedness, mitigation, and response efforts, including a need to enhance the utilization of data and technology to protect communities...

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...

Far too often, organizations are running data and AI projects without following established best practices and taking the right steps to ensure their success. Decades ago, we learned how to run application development projects using best-practice agile and iterative approaches. However, many organizations are failing to apply similar best practices to their data-centric projects. Without a proper approach that standardizes steps for data prep...

This month’s AI in Government featured guest speaker is Brett Vaughan, Chief AI Officer (CAIO) and the Office of Naval Research (ONR) AI Portfolio Manager at the US Navy! AI is proving an essential technology to enhance and accelerate modern militaries. It should come as no surprise then that the US Navy’s Office of Naval Research is looking into AI applications to enhance and optimize areas related to AI assisted human decision ma...

Claims processing is a time-consuming process. The submitted claim documents have to be manually reviewed and verified for authenticity, while simultaneously digitizing the data and making outbound calls to request applicants for missing information. This makes the entire process inefficient, cumbersome and difficult to align with business priorities. To stay relevant amidst the changing landscape and meet shifting customer expectations, it is...