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...

Featured Guest Speakers: Gregory Brown, Vice President of Strategy and R&D, Advanced Technology Group at UPS and Laura Patel, Advanced Analytics Manager at UPS! About Data for AI: The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, 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...

The warfighter of today is much different than in the past. They need to rely on various technologies and increasingly advanced systems to maintain advantages over increasingly capable adversaries and competitors. The US Department of Defense (DoD) must integrate Artificial Intelligence and Machine Learning more effectively across their operations to maintain advantages. To remain competitive, the US Army has created the Army Talent Management...

AI in Government is hosting Kathleen Walch,Managing Partner, Principal Analyst and Ron Schmelzer, Managing Partner, Principal Analyst at Cognilytica and their presentation ‘Want to Be Competitive with AI? Do AI Right or Get Out.’ Tuesday, September 14, 2021 at 12 PM ET! Are you unable to deliver AI and big data projects competitively and successfully? We know why. Far too often, agencies, organizations, and consulting firms are run...

For large multinational organizations with thousands of products, locations across the globe, and tons of data, the use of cognitive technology can greatly increase efficiency. Stanley Black and Decker has 60,000+ products in its portfolio and sells products in 90+ countries. With a large portfolio of products, customers serviced through different business models drives the need for a robust approach to manage customers to drive commercial exc...

Microscopes are age-old technology which let us visualize and research phenomena too small to be perceived by the human eye. Macroscopes, by contrast, are systems designed to reveal spatial and temporal patterns which are so big or slow that they escape normal human perception. We can get some sense of these when we fly, or when we look at time-lapse imagery. But to really make progress requires both the ability to collect planetary-scale info...

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...

This month's special featured guest is Rick McFarland, Chief Data Officer at LexisNexis! Star Trek’s technology seemed far-fetched in the 60s, especially the all-knowing “computer” that provided verbal answers to every one of Captain Kirk’s questions. Today, we have Siri and Alexa, but too often these “consumer grade” digital assistants can’t understand technical questions let alone deliver answers oth...

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...