Reveal Global Consulting, a Service Disabled Veteran Owned Small Business, is proud to support the Census Bureau’s initiatives to modernize its Construction Program. Since 2019, Reveal’s team of data scientists and AI experts have collaborated with the Bureau’s Economic Indicators Division and the private industry to develop innovative techniques to reduce the Bureau’s reliance on manual surveys and fundamentally transform how future construction program indicators will be produced. Read more.

Machine Learning (ML) and Artificial Intelligence (AI) have transformed how enterprises gain insight into solving complex problems. “Emotion AI,” or E-AI, is getting more attention in the fast-evolving field of AI due to the near-ubiquity of cameras in smartphones, digital assistants like Siri and Alexa, and developments in face-tracking voice recognition, and natural language processing (NLP). But does E-AI know how you feel? Maybe. Global research firm Gartner predicts that

by Amish Chudasama Having a sound AI governance strategy has become imperative. Our previous blog discussed what AI governance is, why we need it, and the fundamentals of good AI governance. Here we lay out three steps you can take to develop an AI governance strategy to stay competitive in a global economy, build the public’s trust in AI, and accelerate AI adoption in your organization. Step 1: Build a compelling

by Amish Chudasama, Vice President Research & Development Engineers love it. Corporate Boards like it. Customers depend on it. Even POTUS recently signed an executive order on “Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government.” Undoubtedly, AI has remarkable capabilities that enable us to solve complex macro to micro-level challenges. But as new AI applications and proofs of concept (POCs) move from test labs into full integration

by Dawn Holl, JD I was honored to join Alteryx co-founder Libby Duane Adams, host Kimberly Branic, and the Women of Analytics (WoA) audience to talk about my data analytics career journey and the importance of upskilling and diversity in the field of analytics. I thoroughly enjoyed our lively conversation and exchange and appreciated the thoughtful questions posed by Libby and our audience. If you missed our fireside chat, you

It is no secret that artificial intelligence (AI) and machine learning (ML) technologies can unearth buried “treasure” hidden in volumes of unstructured and structured data, including images. According to McKinsey Global Institute’s research, as of 2030, 70% of companies will implement at least one of five types of AI:  computer vision, natural language, virtual assistants, robotic process automation (RPA), and advanced ML. Government agencies and large enterprises already use AI/ML to detect fraud, waste, and

Fraud, waste, and abuse (FWA) are a pervasive challenge in our society, across both public and private sectors. It is a complex and extensive problem in the healthcare sector that requires innovative, robust solutions that can both mitigate and stay ahead of FWA. The COVID-19 pandemic has only emboldened scammers seeking to defraud healthcare driven government agencies, organizations, programs, and consumers. Recently, the Federal Bureau of Investigation (FBI), Department of