Analytics and Big Data are inherently complex, that doesn’t mean that deploying and utilizing data analytics solutions needs to be complicated. Altair Data Analytics enables organizations to deploy a simple…
Learn MoreMany artificial intelligence (AI) systems in use today were originally designed for low-stakes situations, or situations with a low cost of failure. If your streaming service recommends a movie that…
Learn MoreDuring a recent roundtable discussion hosted by the Advanced Technology Academic Research Center (ATARC), participants from various federal agencies discussed current technological challenges associated with fully leveraging existing and available…
Learn MoreAmir Husain is a serial entrepreneur, inventor, technologist, and author based in Austin, Texas. He is the Founder and CEO of an award-winning artificial intelligence company, SparkCognition, and is the…
Learn MoreGovernment agencies are recognizing the importance of Artificial Intelligence and Machine Learning to help their agencies adapt to the changing needs of citizens. AI has the potential to save time…
Learn MoreAI isn’t as new as it might seem. John McCarthy coined the term “artificial intelligence” in 1956 and defined it as “the science and engineering of making intelligent machines.” Although…
Learn MoreRecent years have seen several Federal Executive Orders issued with the intent to ensure that the United States leads the world in the field of Artificial Intelligence (AI) and leverages…
Learn MoreMatt Zeiler, Founder and CEO at Clarifai, explores how agencies should look for an open architecture that connects AI with their existing solutions. Artificial intelligence requires a new set of…
Learn MoreDigital transformation projects are accelerating. Many are adopting Artificial Intelligence (AI) tools to increase operational efficiencies and improve user experience. Taking the lead from the private sector, AI is increasingly…
Learn MoreThis paper illustrates how AI risk and impact assessments may help mitigate the harms arising from specific AI systems, but it also highlights some of the limitations associated with the…
Learn MoreThe use of artificial intelligence (AI) in health systems has accelerated globally with different applications being tested and put into practice across diverse areas of health system design and delivery.…
Learn MoreThis concept paper describes the fundamental approach proposed for the National Institute of Standards and Technology (NIST) Artificial Intelligence Risk Management Framework (AI RMF or framework). The AI RMF is…
Learn MoreThis special publication from the National Institute of Standards and Technology (NIST) aims to surface the salient issues around AI bias, and to provide a first step on the roadmap…
Learn More“Defending Digital” Series, No. 5: Individual decisions are shaped by our values, beliefs, experiences, inclinations, prejudices, and blind spots. These “biases” can easily leak into information system design. But overall…
Learn MoreAs government agencies continue to embrace complex and hybrid data architectures equipped with new and evolving software and cloud data platforms, data governance must remain at the core of these…
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