Our people foundation is built with an ever-expanding group of experts who-be they industry practitioners, AI specialists, and strategic partners-all connected in a hands-on network to deliver business growth outcomes
Founder
An innovative leader in explainable AI and embedded AI with over 30 years of experience delivering intelligent products based on bleeding-edge silicon and most recently at Intel. He has a Ph.D in neural networks based advanced machine learning techniques and strong expertise in embedded edge intelligence applied to computer vision, autonomous systems, sensor fusion, and robotics. He has experience in integrated hardware and software development for enterprise products applying augmented intelligence, machine vision, deep learning, and reinforcement learning.
Founder
Chief Growth Officer, Retail AI
Pioneer in the use of causal inference and experimentation platforms for enterprise revenue growth. Deployed breakthrough machine learning technologies and algorithms in retail and consumer product goods industry. Former AI researcher at Stanford University; author or co-author on over 50 scientific publications. Currently working on adapting difference-in-difference modeling techniques to time-series analysis in order to improve generalizability. Founder and former CEO of Scientific Revenue, a Silicon Valley company which used machine learning to dynamically create pricing segments for revenue optimization. Advisor to numerous AI companies, helping to create next-generation content strategies for targeted advertising.
Chief Growth Officer, Retail AI
Chief Growth Officer, Life Sciences AI
A triple boarded physician in Internal Medicine, Pediatrics, and Nephrology, and a Masters of Data Science and Predictive Analytics from Northwestern University. In 2020, Dr. Bland was recognized by Becker’s Health Care as one of the 100 Chief Medical Officers to know. Extensive experience in the research, development, and deployment of digital health solutions across several healthcare enterprises from analytics at The Joint Commission, use of natural language processing in value-based care and analytics and machine learning to reduce healthcare adverse or events.
Chief Growth Officer, Life Sciences AI
Chief AI Scientist
An innovative leader in explainable AI and embedded AI with over 30 years of experience delivering intelligent products based on bleeding-edge silicon and most recently at Intel. He has a Ph.D in neural networks based advanced machine learning techniques and strong expertise in embedded edge intelligence applied to computer vision, autonomous systems, sensor fusion, and robotics. He has experience in integrated hardware and software development for enterprise products applying augmented intelligence, machine vision, deep learning, and reinforcement learning.
Chief AI Scientist
Chief Growth Officer, Retail AI
Pioneer in the use of causal inference and experimentation platforms for enterprise revenue growth. Deployed breakthrough machine learning technologies and algorithms in retail and consumer product goods industry. Former AI researcher at Stanford University; author or co-author on over 50 scientific publications. Currently working on adapting difference-in-difference modeling techniques to time-series analysis in order to improve generalizability. Founder and former CEO of Scientific Revenue, a Silicon Valley company which used machine learning to dynamically create pricing segments for revenue optimization. Advisor to numerous AI companies, helping to create next-generation content strategies for targeted advertising.
Chief Growth Officer, Retail AI
Chief Growth Officer, Life Sciences AI
A triple boarded physician in Internal Medicine, Pediatrics, and Nephrology, and a Masters of Data Science and Predictive Analytics from Northwestern University. In 2020, Dr. Bland was recognized by Becker’s Health Care as one of the 100 Chief Medical Officers to know. Extensive experience in the research, development, and deployment of digital health solutions across several healthcare enterprises from analytics at The Joint Commission, use of natural language processing in value-based care and analytics and machine learning to reduce healthcare adverse or events.
Chief Growth Officer, Life Sciences AI
Chief Al Architect
Chief AI Operations Architect with over 30 years of experience, of which 10 years are in engineering management. Former enterprise machine learning system architect at Autodesk, AT&T Interactive, and Internet Archive with a focus on transferring research to production and machine learning operations for classic machine learning and deep learning. Extensive Big Data experience led to co-founding Unravel Data which tunes Hadoop systems up to 1300 nodes using streaming processing, Experience with on-premise and cloud deployments delivering impactful business outcomes.
Chief Al Architect
Director, Product Management
Scrum certified product owner and SAFe POPM (Product Owner Product Manager) with 14 years of industry experience. Former program manager for emerging technology project initiatives at Proctor & Gamble, DHL, British Telecom. Defined roadmap for large enterprise transformation initiatives with client stakeholders, product delivery, and enterprise data management programs. Expertise in business process management in multiple industry domains including customer service operations, and telecommunications.
Director, Product Management
Director, Business Operations
Director, Business Operations
Senior Fellow, Semiconductor AI
Senior Fellow, Semiconductor AI
Chairman
Global corporate executive with over 40 years of technology leadership. Former vice president of information technology at the Boeing Company and was responsible for developing and deploying industry best practices for technology strategy, enterprise architecture, governance and functional excellence, and risk management. Prior to this role, he was the chief information officer for Hughes Electronics Corporation.
Chairman
Business Strategy
An industry recognized leader with over 26 years of experience in aerospace industry focusing on business and systems strategy. Former President of Honeywell Systems and Services, was accountable for all aspects of a $4.7 Billion international manufacturing and services business, with both commercial and government customers. He has repeatedly demonstrated the ability to drive shareholder value through: strategic planning for growth, leading engineering technical systems and information systems implementation, process redesign and automation for improved technical performance, and customer focus for strategic alignment and expanded markets.
Corporate Strategy
Finance Strategy
Senior financial executive with over 30 years of senior management experience in the areas of finance and banking. He serves as the lead independent director on the board of directors of the State Bank of India (California) and is chairman of audit committee and a member of the risk, executive and nominating and human resource committees of the board. He brings prior board and executive operational experience in US banking industry as well as expertise in information technology, strategic planning, legal and regulatory compliance, and risk management.
Finance Strategy
Cybersecurity Strategy
Senior executive and technocrat with over 30 years of experience in cybersecurity and embedded systems development for commercial and defense applications. Currently serves as vice president of IoT solutions at DigiCert. Inc. Formerly chief technology and product officer at Mocana Corporation (acquired by DigiCert). Founder of TaaSware (acquired by TaaSera) and served as entrepreneur-in-residence at SRI International. Served as a solutions architect and engineering team builder at technology companies in the field of weapon and virtual simulation training (FATS, acquired by Meggitt Training Systems), telecommunications (Nortel), networking (Systems On Silicon, Inc, acquired by TranSwitch), and cybersecurity (Applied Identity, acquired by Citrix). Holds 28 U.S. patents in the field of evidence based predictive analytics and cyber protection.
Cyberdefense Initiatives
Talent Initiatives
Talent Initiatives