Combined business and tech transformation expertise to lead the artificial intelligence (AI) revolution. In this era of disruptive technologies shaping new businesses. people still comes first. 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.
Bipin Thomas, M.S
Chief Executive Officer
An award-winning senior executive with over 30 years of cross-industry experience in execution of transformational initiatives at Fortune 100 corporations. Former Managing Director at Accenture, built and grew advanced analytics and cloud business to $1.2 Billion in annual revenues and became a trusted advisor to the board of iconic corporations. Former Corporate Vice President at Flex, where he implemented AI accelerator enabling new revenue-sharing models of retail product sales. AI Chairman at UCSC Silicon Valley for enterprise AI specialization programs and mentors C-suite executives to deliver enterprise AI transformation.
Moenes Iskarous, Ph.D
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.
Mahesh Kodumudi, M.S, M.B.A
Chief Al Officer, Manufacturing Industry
Global senior executive and senior advisor to McKinsey with over 30 years of experience in global product development and smart manufacturing value chain. Former Chief Procurement Officer of Volkswagen North America, held responsibility for delivering corporate KPIs of supply chain, procurement, supplier development, and supplier quality. Expert in value engineering, optimization of regional product strategies, volume and mix planning, and implementing cost optimization strategies. He has driven top-line revenues, cost efficiencies, supply chain resiliency, and helped define market-specific product portfolio and product strategies.
William Grosso, Ph.D
Chief Al Officer, Retail Industry
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.
Ravi Jagannathan, M.S, M.B.A
Chief Al Officer, High-Tech Industry
Enterprise AI executive with over 30 years of consistent track record of building advanced analytics and machine learning products and platforms from idea stage through deployment for High-Tech industry. Former data science head for three unicorns in Silicon Valley: Efficient Frontier (Adobe), Applovin, and Vungle, and monetization businesses including Apple iAds and Yahoo. Expert in consumer behavioral modeling, consumer segmentation, personalization of offers using machine learning, search and mobile user acquisition, cross-channel conversion tracking using Google Ad Analytics, Big Query and other disparate data sources.
Andrew Bland, M.D, M.B.A, M.S
Chief AI Officer, Health & Life Sciences
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.
Paul Baclace, B.S. C.S.
Chief Al Operations 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.
Deepa Gangadharan, M.S
Agile Product Manager
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.
Arun Sunil, M.S
Al Systems Architect
Hands-on technical architect with expertise in designing and deploying autonomous mobility systems for entreprise applications. He is specialized in unifying the power of robotics, mechatronics, and senosr fusion to enable enterprise AI use cases. Experienced in delivering GPU optimized and accelerated solutions, and high performance computing.
Kyle Chen, B.S
AI System Specialist
Hands-on system engineer with experience in design, development and deployment of cognitive capabilities for enterprise-grade machine learning solutions. He has delivered artificial intelligence at the edge solutions on power efficient compute stack, while focused on integrating hardware agnostic technologies for speech and vision.
Volha Hancharova, B.S
AI Talent Specialist
Talent transformation leader spearheading the talent readiness initiatives for emerging roles in artificial intelligence. She has established an unique hands-on mentorship plan for graduates from colleges to perform successfully in artificial intelligence and machine learning projects in large enterprises. She leverages the company's enterprise-grade AI Systems Lab in Santa Clara to coordinate and deliver the mentoring sessions for software and hardware engineers who wants to become AI specialists.
Tiago Santos, B.E
AI System Specialist
AI system specialist leading the design and deployment of artificial intelligence technology for hands-free worker solutions for global corporations in industrial sector. Former engineer at Schlumberger and he brings over 12 years of extensive hands-on experience with remote worker assistance and expert assistance solutions. He has applied Microsoft Hololens hardware and software for launching mixed reality use cases for industrial, smart manufacturing, and oil and gas industries.