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Where To Look for Legitimate Responsible AI Standards Until now, regulating AI design and development has largely been left up to individual interpretation. Organizations controlled the level of risk mitigation and ethical compliance involved with their ML models, and many
How To Create an AI Strategy for Middle Market Companies Designing and developing machine learning models at an organization of any level should be a highly strategic endeavor. And for middle market companies, there is much less room for costly
Author: Cal Al-Dhubaib / Originally posted to AI News If you ask ten different data practitioners to define AI, you’ll get ten different answers. In its simplest form, AI is software that recognizes and reacts to complex patterns—but the way
Machine Learning Consultant and Educator, Keith McCormick, Supports Pandata as Data Science Executive in Residence Driven by his passion for transparent Al, data science consulting, and ML education, Keith McCormick, joins the Pandata team as a data science executive in
4 Steps to Building an AI-First Company that Stands Out Artificial intelligence is a differentiator for many businesses. For now. When used right, AI can help companies make decisions on unique products and services, optimize systems and processes, improve quality,
How Change Management Can Prepare Leaders for AI [Podcast Takeaways] Change can be scary. It’s a well-known adage, one whose longevity can be attributed to its accuracy—but it’s not an excuse. AI and its industry applications grow by the day.
How To Solve Problems With AI [theCUBE Interview] What is trustworthy AI? How are companies using AI? What are some of the top concerns about AI and privacy today? Pandata CEO and AI Strategist, Cal Al-Dhubaib, recently joined Jonathan Seckler
Reliable KPIs for AI: How To Measure Success This post is part of a series designed to help AI-interested regulated industry leaders overcome challenges to successful AI design. For more information, download Top Challenges to Designing AI in Regulated Industries
How To Develop an AI Strategy That Yields Positive ROI This post is part of a series designed to help AI-interested regulated industry leaders overcome challenges to successful AI design. For more information, download Top Challenges to Designing AI in
What Can I Expect From the Future of Machine Learning? Machine learning has come a long way since the 1952 introduction of the first computer learning program. In 1980, data scientists created Explanation Based Learning, where a computer could create
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