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

Mar 2021


Successfully applying AI/ML techniques to predict fraud, waste and abuse (FWA) in the CMS’ Affordable Care Act (ACA) Exchange Program. • Develop innovative AI/ML techniques to identify anomalous behavior in ACA enrollments. • Apply advanced data science and data mining methods using AI/ML to identify hidden relationships between enrollees, brokers, and providers

Mar 2021


Reveal is applying big data analytics and advanced data science capabilities to Census’ processes to enhance economic indicators and modernize IT infrastructure. Provide thought leadership in conceptualizing and deploying alternative approaches for data collection, analysis, and dissemination that reduce operational costs. Identify, measure, and predict construction spending using satellite imagery and AI-based image processing. Modernize construction industry indicators (housing starts, residential and non-residential construction spending) and others using alternative sources