Ritesh Agrawal is a Senior Data Scientist at Uber and leads the Intelligent infrastructure and the Developer platform analytics and science projects. His focus is on making Uber's data infrastructure intelligent and develop tools and techniques to enhance developer productivity using data mining and machine learning techniques. Before Uber, Ritesh worked at Netflix and AT&T Labs where he specialized in predictive and ranking models at scale. A Ph.D. scholar from Pennsylvania State University (State College) in Environmental Earth Science, Ritesh’s thesis focused on computational tools and technologies such as concept map ontologies.

Meltem is an experienced data scientist, leader, and strategist with a unique combination of analytical and leadership expertise of 10 years in industry, and 10 years in academia. She recently joined GM at Chief Data and Analytics Office. During her career she has designed complex machine learning models and implemented AI projects including natural language processing (NLP), linear and logistic regression, supervised and unsupervised learning, deep learning algorithms (CNN & RNN) and hybrid approaches of computer vision. Her passion for cognitive and biological bases of data prompted her to have a career in academia where she received a degree in Complex Systems and Brain Sciences with a minor in cognitive and behavioral neuroscience. She implemented her knowledge of neuroscience and analytics while a professor at the University of North Carolina Chapel Hill Medical School.

Richard Boire's experience in predictive analytics and data science dates back to 1983, when he received an MBA from Concordia University in Finance and Statistics. 

His initial experience at organizations such as Reader’s Digest and American Express allowed  him to become a pioneer in the application of predictive modelling technology for all database and CRM type marketing programs. This extended to the introduction of models which targeted the acquisition of new customers based on return on investment.

With this experience, Richard formed his own consulting company back in 1994 which is now called the Boire Filler Group, a Canadian leader in offering  analytical and database services to companies seeking solutions to their existing predictive analytics or database marketing challenges.

Richard is a recognized authority on predictive analytics and is among a very few, select top five experts in this field in Canada, with expertise and knowledge that is difficult, if not impossible to replicate in Canada. This expertise has evolved into international speaking assignments and workshop seminars in the U.S., England, Eastern Europe, and Southeast Asia. 

Within Canada, he gives seminars on segmentation and predictive analytics for such organizations as Canadian Marketing Association (CMA), Direct Marketing News, Direct Marketing Association Toronto, Association for Advanced Relationship Marketing (AARM) and Predictive Analytics World (PAW).  His written articles have appeared in numerous Canadian  publications such as  Direct Marketing News, Strategy Magazine, and Marketing Magazine. He has taught applied statistics, data mining and database marketing at a variety of institutions across Canada which include University of Toronto, George Brown College, Seneca College, and currently Centennial College. Richard was  Chair at the CMA's Customer Insight and Analytics Committee and  sat on the CMA's Board of Directors from 2009-2012. He has chaired numerous full day conferences on behalf of the CMA (the 2000 Database and Technology Seminar as well as the  2002 Database and Technology Seminar and the first-ever Customer Profitability Conference  in 2005. He has most recently chaired the Predictive Analytics World conferences in both 2013 and 2014 which were held in Toronto.

He has co-authored white papers on the following topics: "Best Practices in Data Mining" as well as "Customer Profitability:  The State of Evolution among Canadian Companies."  In Oct. of 2014, his new book on "Data Mining for Managers-How to use Data (Big and Small) to Solve Business Problems" was published by Palgrave Macmillian.  In March of 2016, Boire Filler Group was acquired by Environics Analytics where his current role is senior vice-president of innovation.

Dan Case is a Principal with Cicero Group and co-leads the firm’s Customer Insight and Analytics practice. Dan has specific expertise in using analytic approaches to empower tangible, data-driven strategies for clients. With over ten years of management consulting and research experience, Dan has been a trusted advisor to senior executives across a range of companies and industries. 

Dr. Dyann Daley, MD,  is an experienced pediatric anesthesiologist and child maltreatment prevention executive, specializing in location-based predictive modeling, systems thinking, and development of practical solutions for community-influenced children’s issues.  

Dr. Daley founded and was the executive director of Cook Children’s Center for Prevention of Child Maltreatment in Fort Worth, Texas where she demonstrated the effectiveness of place-based predictive analytics for child maltreatment using spatial risk modeling.  She went on to found Predict Align Prevent, a national nonprofit advancing geospatial machine learning predictions in child welfare, strategic alignment of prevention resources, and implementation of accountable prevention programs to prevent child maltreatment before it happens.  Her organization is committed to open science for social good. 

Dr. Gourab De is the Vice President of Data Science at DataRobot, where his primary focus is helping customers improve their ability to make and implement predictions. Previously, De was part of the data science team at Ginger.io focusing on behavioral analytics in mental health. His professional experience includes statistical genetics, clinical trials, retrospective claims analysis, chart review studies, predictive modeling and pharmacoeconomic modeling. De graduated with honors from the Indian Statistical Institute in Kolkata, India, and received a Ph.D. in Biostatistics from Harvard University.

Ryohei is the Founder & CEO of dotData. Prior to founding dotData, he was the youngest research fellow ever in NEC Corporation’s 119-year history, the title was honored for only six individuals among 1000+ researchers. During his tenure at NEC, Ryohei was heavily involved in developing many cutting-edge data science solutions with NEC’s global business clients, and was instrumental in the successful delivery of several high-profile analytical solutions that are now widely used in industry. Ryohei received his Ph.D. degree from the University of Tokyo in the field of machine learning and artificial intelligence.

Dr. Carola Gregorich is a Principal Technical Leader at the Electric Power Research Institute (EPRI).
Carola leads research activities in radiation field source term control and radiation field generation – activities that bridge EPRI’s Radiation Safety and Water Chemistry Control Programs. The Radiation Management and Source Term Technical Strategy Group, an active peer-to-peer group is as much at the center of the activities as are the chemistry and radiation field databases. Seeing benefits of using data science in radiation field research, she is at the forefront of implementing data science approaches in the programs’ activities.
Carola’s expertise is in nuclear, radiochemistry, analytical, light water reactor chemistry. Prior to joining EPRI, she worked for GE Nuclear and AREVA NP. She holds a master in analytical chemistry from Humboldt University to Berlin and a Ph.D. from Philipps University, Marburg, Germany. As a Feodor‐Lynen‐Research Fellow of the Alexander von Humboldt Foundation she identified a new isotope of plutonium (231) at the Lawrence Berkeley Nat'l Lab, Berkeley, CA and working at Lawrence Livermore Nat'l Lab she was a member of the Livermorium (element 116) discovery team.
 

Krishna Kallakuri is President & founder of Loven Systems, the creators of diwo®.  Krishna’s visionary leadership and delivery of transformational BI and Analytics initiatives to leading Fortune 500's has landed the practice he has founded on the Midwest’s Fastest-Growing list. With 20 years of expertise in technology and executive management, Mr. Kallakuri’s passion for advanced analytics, cognitive technologies, and artificial intelligence has led to pioneering work—most recently the launch of diwo®, which was developed from the ground up as a “business-first” platform to address the adoption issues common with other transformative initiative

Vanessa F. Lam is Principal of BRS (BRSolutions.com). BRS provides consulting, training, and mentoring in support of data, AI, vocabulary, and rules.

Vanessa specializes in building data-driven organizations where operations and leadership understand and trust the data, treat knowledge as a resource, and use  to make day-to-day and strategic decisions.

Previously, she worked at Mastercard as a Manager of Business Insight and Productivity and Optoro as a Manager of Business Intelligence. In these roles, she created educational tools for the organization, fostered data communities, and ensured people used data responsibly.

Vanessa is a frequent speaker at conferences worldwide, including Enterprise Data World (EDW), Building Business Capability (BBC), Data Governance & Information Quality (DGIQ), Tableau User Group, Predictive Analytics World, and others. Vanessa’s popular articles on data and knowledge are published regularly in the Business Rules Journal, The Data Administration Newsletter (TDAN), and others.

She holds a Masters of Computer and Information Technology from the University of Pennsylvania and a BSc in Economics from the Wharton School. She was named a top influencer to watch in 2021 by IIBA.

“The future of Logistics is the marriage of Data, Operations Technology, and Advanced Analytics, which will reduce cost and improve services."

Jack Levis is responsible for Product Strategy at ESP Logistics Technologies. This role includes Optimization / Prescriptive Analytics. He is bringing with him 43 years of logistics and technology experience. 

Prior to joining ESP, Jack retired from UPS as a Senior Director of Industrial Engineering. During his 43-year career he was responsible for the development of operational technology solutions including digital twin infrastructure and optimization solutions. These solutions required advanced analytics to reengineer processes, streamline the business, and maximize productivity. 

Jack was the business owner and process designer for UPS’ Package Flow T

echnology suite of systems which includes its award-winning optimization, ORION (On Road Integrated Optimization and Navigation). These tools were a breakthrough change for UPS, resulting in a reduction of 225 million miles driven each year.

ORION alone is providing significant operational benefits to UPS and its customers. UPS estimates that ORION alone is reducing costs by $500M to $600M per year. 

Jack believes ESP can deliver similar gains to its customers. 

Having earned his Bachelor of Arts in psychology, from California State University Northridge, Jack also holds a Master’s Certificate in Project Management from George Washington University. 

He is a fellow of the Institute for Operations Research and Management Sciences (INFORMS), receiving their prestigious Kimball Medal and the President’s Award.

Jack is a frequently requested speaker for business executives and organizations. He has been featured in many publications and media productions including a TED talk and a NOVA show on Innovation. 

Jack has held advisory council positions for multiple universities and associations, including the United States Census Bureau Scientific Advisory Committee. 

The role Jack enjoys the most is Grandpa.

Wes is CEO and Co-founder of Kurve, Inc.. Prior to founding Kurve Wes was running an MLOps consulting business for 4 years, where he faced data discovery and feature engineering inefficiencies at many customers. Additionally, he brings a wealth of experience building end to end MLOps pipelines with success across multiple industries. Wes was an Entrepreneur In Residence at SRI International where he and SRI incubated Kurve.

Jaya Mathew is a Senior data scientist at Microsoft where she is part of the Artificial Intelligence and Research team. Her work focuses on the deployment of AI and ML solutions to solve real business problems for customers across multiple domains. Prior to joining Microsoft, she has worked with Nokia and Hewlett-Packard on various analytics and machine learning use cases. She holds an undergraduate as well as a graduate degree from the University of Texas at Austin in Mathematics and Statistics respectively.

Steve Miller is Vice President within in the Controls and Protection Division for Eaton. In this role, Miller is responsible for strategic planning and commercial marketing functions for the $1.5 billion division. He has deep experience developing and executing on Innovation & Growth Strategies and B2B Marketing.  Previous to Eaton, Miller served at Ryder System, held various leadership roles over 14 years with Goodyear Tire & Rubber Company including General Manager of Goodyear Caribbean based in Kingston, Jamaica. In that capacity, he was responsible for Goodyear's business interests in the Caribbean markets including Puerto Rico, Jamaica, Trinidad & Tobago, and Haiti. Miller holds an MBA from Duke University (Fuqua) and a BS in Economics from the University of Pennsylvania (Wharton).

Dr. Irene J. Petrick joined Intel in 2015 and is Senior Director of Industrial Innovation in the Internet of Things Group.  Irene focuses on emerging technology, social, and global trends and their combined impact on the industrial space.  Her work highlights the industrial internet of things, edge computing, the transition to intelligent manufacturing and the needs of the future workforce, 3D printing and distributed manufacturing and the new business models that are enabled by intelligent manufacturing.  Prior to joining Intel, Irene was a professor at Penn State and has been actively engaged with companies in their innovation and technology strategies for over 25 years, including work with twelve Fortune 100 companies, the U.S. military, and a wide variety of small to medium sized enterprises. Petrick is author or co-author on more than 180 publications and presentations. 

Steven J. Ramirez is the chief executive officer of Berkeley, Calif.-based Beyond the Arc, Inc., a firm recognized as a leader in helping companies transform their customer experiences by leveraging advanced analytics.

In addition to developing and executing the vision for Beyond the Arc, Ramirez leads teams of data and strategy consultants committed to client success. They analyze customer and social media data, combined with text analysis, to drive customer growth, improve customer retention, understand service breaks and build stronger customer loyalty.

Prior to leading Beyond the Arc, Ramirez served as an executive with Time Warner, where he was responsible for creating and successfully implementing marketing and corporate development strategies.

Ramirez earned a bachelor's degree and master's in Business Administration from the University of California at Berkeley. He as also created and taught courses in business management for UC Berkeley and been a guest speaker at the university's Haas School of Business.

A perpetual innovator and entrepreneur in his vocation, Satyendra Rana is an unapologetic challenger of status quo. Loven Systems is his latest act of that spirit, where he is leading the research and development of a big data science platform, called DIWO™(Data In Wisdom Out), inspired by systems thinking approach and cognitive science. In his exciting professional journey spanning over 35 years, Dr. Rana has built and sold companies in emerging technologies, held senior and executive leadership positions in various companies, won prestigious industry awards, served on the boards of startups, and has mentored many professionals. Dr. Rana holds a Doctorate Degree in Distributed Computing from Indian Institute of Technology, New Delhi, India where he was also a faculty member for over 4 years before migrating to USA.

With more than fifteen years of experience and M.B.A from the University of California, Berkeley (Haas School of Business), Anando is an entrepreneur and a product manager with a strong passion for creating high-performance quality products. At Uber, he manages Uber's reliability strategy to ensure a fast, seamless service experience for millions of users across the globe. Previously, at Apple, he delivered a data-driven all-day battery life strategy for iPhones and Watches. Before that, he built products in the IoT marketplace for automotive telemetry and was an early contributor to Legato.io ecosystem. 

Mohammad is currently a Senior Data & Applied Scientist at Microsoft, and Instructor at Stanford University. He is a former Data Scientist at Apple and previously worked for Samsung, Bosch, General Electric and UCLA Research Labs. He received a PhD in Computer Science from the University of California, Riverside and B.Sc. from University of Tehran. Mohammad is the author of the book, ‘Applications of Mining Massive Time Series Data'. He has also been a keynote speaker at more than 40 Data Summits/Conferences around the globe. 

Nicole Antoinette Smith is a full-time Lecturer at Ohio University in the College of Business teaching data analytics, information systems, and project management courses. She provides management consulting services under her company (Nicole Antoinette Consulting) using seven proprietary business methodologies. 

Nicole Antoinette is known as 'A Catalyst for Change' and is recognized as a perceptive leader with demonstrated ability to lead a diverse team of professionals. She has strong leadership qualifications in management and planning, developing processes, building high performance teams, and managing innovation. Nicole Antoinette has in-depth working knowledge and hands-on experience in Software Development Life Cycle methodologies, Software Quality Assurance methodologies and tools, Business Analysis, Project Management (managing SaaS, Clouding Computing, and eCommerce projects), Strategic Planning, Process Improvement, Program Development, and Independent Verification & Validation. 

She earned a MS in CIS from Missouri State University and a BBA with dual majors in MIS  and Marketing from Ohio University.

Lyle Sprinkle leads IoT Solutions efforts within the Power Components Division at Eaton.  This exciting organization creates new IoT and software tools which dramatically improve power system monitoring and reporting for industrial and manufacturing customers. Previously, he has held product management, marketing and engineering roles at Honeywell, Vocollect- an industrial speech-recognition start-up, Harris Corporation and Alcatel. He has authored an article for MobileMarketer.com’s “Classic Guide to Mobile Commerce”, spoke on the future of digital wireless products to executives and journalists in Beijing at the CCBN China Digital Summit, and has provided guest lectures at Carnegie Mellon University in Pittsburgh, PA. Lyle holds an MBA with an International Marketing focus from the University of Texas at Dallas and an Electrical Engineering degree from Georgia Tech.

Greg Stevens is a senior data scientist at Vistra Energy, a national retail energy company headquartered in Irving, Texas. After earning his Ph.D. in Mathematical Psychology from the University of Michigan, Greg spent several years teaching and doing research in Cognitive Science at the University of California, Los Angeles, before moving on to leverage his research and mathematical modeling skills to develop advanced analytical tools within the retail energy sector. His early academic work resulted in several books chapters and peer-reviewed articles on topics ranging from neural network models of speeded decision-making, to dynamic-systems models of infant attachment behavior. His recent focus has been on integrating statistical methodologies to create actionable insights into the relationship between human behavior and business outcomes.

Tech and Team leader for three divisions: autonomous driving and machine learning/deep learning, simulations at Isuzu technical Center of America. First authored multiple technical papers on autonomous driving, Machine learning and simulations. Speaker at various conferences, including  Autonomous Vehicle Test & Development Symposium 2018, Autonomous Vehicles Silicon Valley 2019, SAE world congress 2018/2019, Autonomous driving and future mobility 2019.

Robert runs Data Science and Advanced Analytics at General Motors. His chief duty is creating products out of data streaming from connected and self-driving cars.  Robert joined GM from USAA where he ran data science, researching machine learning, optimization, and simulation.  He’s been the feature of a Forrester Research case study and articles in MIT Technology Review and Forbes for his work in marketing and artificial Intelligence. Robert’s work with the World Bank became a highly cited publication on University/Industry research partnerships.  He still works with universities in turning research into solutions for General Motors.  He’s a graduate from Texas A&M University and the University of California, San Diego.  He lives in Austin with his wife and three children.