CML Insight (Causal AI/ML)

🎉 CML Insight is proud to collaborate with Human Systems in building a self-learning AI platform to help learners improve their outcomes in wellness, learning, and soft skills. 💡 Drs. Paul J. LeBlanc and George Siemens founded Human Systems to help scale the use and adoption of promising AI technologies in education by taking a “clean-sheet approach”. 📈 CML Insight was founded to democratize and scale the use of Causal AI to bring out the best in Predictive and Generative AI in constructing an evidence-based playbook to improve outcomes and social mobility. We're happy to be on this journey together. #causalai #education #humansystems #learning www.cmlinsight.com

Excited to share a recent ExperiencED podcast between noted behavioral neuroscientist Dr. Jim Stellar (and former President of SUNY Albany) and David Kil Founder/CEO of CML Insight (Causal AI/ML). They discuss data analytics, Causal AI, and its application to university experiential education understating of outcomes and potential ranking #causalai https://lnkd.in/gjHzNWz8

"As organizations seek to harness the power of causal reasoning to make more informed decisions and achieve better outcomes, the market for causal AI technologies is poised for continued growth and innovation..." We think so too! #causalai #causalml https://lnkd.in/gCdnd7wA

CML Insight is pleased to announce we are SOC 2 Type 1 certified also known as SSAE 18 🥳 As a Causal AI/ML provider to public and private sector customers we process tons of sensitive data. That's why it's important our customers know we apply the highest industry standards when doing so. Our SOC 2 Type 1 report is the result of an annual audit of our processes and policies by an independent auditor. This way our customers can rest assured their data is safe with us. Thanks to the entire team for making this happen. Especially CTO Daya Chinthana Wimalasuriya, PhD and MD/VP Asiri Warnakulasuriya to make sure our infrastructure is compliant. Thanks to our friends at Vanta for making it less painful, and to Prescient Assurance for the audit. #soc2 #causalai #causalml

We couldn't agree more with this article on evidence-based mindsets in edtech. #causalai #evidencebased #edtech Natalia Kucirkova EdTech Digest https://lnkd.in/gt_rET7q

Great article posted yesterday citing MIT and Harvard Researchers using methods to identify optimal interventions for genome regulation. We work on similar operational methods to identify and quantify interventions in education, government and business for portfolio optimization. Causal ML approaches will continue to identify the most effective strategies at lower experimental costs making businesses and public sector enterprise more efficient. “Too often, large-scale experiments are designed empirically. A careful causal framework for sequential experimentation may allow identifying optimal interventions with fewer trials, thereby reducing experimental costs,” Caroline Uhler Caroline Uhler, Themistoklis Sapsis, Jiaqi Yu, Adam Zewe #causalai #causalml https://lnkd.in/gtBRRuEx