About the OpenDI Founders
Teasha Cable
Teasha Cable is a dynamic and mission-driven Chief Executive Officer who currently spearheads CModel Data Inc., an augmented decision intelligence company based in Birmingham, AL. Known for her strategic acumen in business development and operations leadership, Teasha has a robust background that encompasses roles such as VP of Business Operations, VP of Business Development and Product Strategy, and Business Operations Consultant across diverse organizations of varying sizes and industries. Her executive leadership experience includes her tenure at Singularity University, where she played a pivotal role in helping organizations adapt to and leverage exponential technologies, ensuring they remain competitive in an ever-evolving landscape.
In addition to her role at CModel Data, Teasha is a dedicated board member of the WECAN (Women Executive Channel Advisory Network), where she actively promotes women's leadership in technology and supports initiatives aimed at fostering innovation. She also serves on the board of TechBirmingham, which is committed to strengthening and advocating for the technology ecosystem by promoting tech companies in the region, helping to recruit and retain tech talent, and providing current and future workforce with technical education and professional development opportunities. Furthermore, Teasha is also a co-founder of OpenDI, where she collaborates to build an inclusive ecosystem that fosters technological innovation, human collaboration, knowledge sharing, and advancements in human decision-making.
Dr. Lorien Pratt
Computer scientist Dr. Lorien Pratt is one of the pioneers of artificial intelligence and is credited with inventing transfer learning. Following a 38-year career delivering applied AI systems, along with leadership and program committee responsibilities at the industry-leading NeurIPS conference, Pratt is recognized alongside Marie Curie and others by the Women Innovators and Inventors Project. Today, Pratt is chief scientist at www.quantellia.com, where she continues to push the boundaries of technology as a creator of and evangelist for Decision Intelligence (DI), a cofounder of the Open Decision Intelligence Initiative, and by providing Large Language Models (LLMs) with Compact World Models (DI Decision Models) to build Agentic AI applications. Pratt’s The Decision Intelligence Handbook (O’Reilly, 2023) is receiving worldwide attention. With recent publications in Foresight, Futures, and Frontiers, Pratt's DI innovations connect AI to human decision making in a way that is transparent, auditable, and accessible, bringing this important technology to the masses, and reducing information inequality.
Dr. David L. Roberts
Dr. David L. Roberts is the Assistant Director of Undergraduate Programs and an Associate Professor of Computer Science, North Carolina State University. He has a particular focus on computation as a tool to provide insight into human and nonhuman animal behavior in narrative, virtual world, and game environments. His laboratory regularly works with leading non-profit service animal and animal welfare organizations to bring the power of algorithms and analytics to bear on the challenging problems of understanding (human and non-human) animal behavior. His research interests lie at the intersection of machine learning, social and behavioral psychology, and human–computer interaction. Roberts regularly works in collaboration with faculty and industry representatives from fields outside Computer Science, particularly in the veterinary and agricultural sciences.
He is a co-founder of the Open Decision Intelligence (OpenDI) Initiative. The OpenDI Initiative is providing the industry standard software reference architecture for DI technology and service providers to promote interoperability, democratized access, and support diverse representation in the DI technology and service verticals. Both in his research at NCSU and in several startups, Roberts has directed several deployed enterprise software and hardware projects that enable real world data collection and research. He has extensive experience with user-centered design, Agile software methodology, and decision augmentation using data and AI.