Predictive Analytics World for Manufacturing Las Vegas 2019

June 16-20, 2019 – Caesars Palace, Las Vegas


Ritesh Agrawal
Ritesh Agrawal

Senior Data Scientist

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 Ballan Ph.D
Meltem Ballan Ph.D

Chief Data & Analytics Office

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
Richard Boire

Senior Vice President

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
Dan Case

Principal

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. 

Dan Case is speaker of the following session:

    Dyann Daley MD
    Dyann Daley MD

    Founder and CEO

    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. 

    Dyann Daley MD is speaker of the following session:

    Gourab De PhD
    Gourab De PhD

    Vice President of Data Science

    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.

    Gourab De PhD is speaker of the following session:

    Ryohei Fujimaki
    Ryohei Fujimaki

    CEO

    dotData

    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.

    Ryohei Fujimaki is speaker of the following session:

    Carola Gregorich Dr.
    Carola Gregorich Dr.

    Principal Technical Leader

    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
    Krishna Kallakuri

    President

    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

    Krishna Kallakuri is speaker of the following session:

    Vanessa Lam
    Vanessa Lam

    Manager, Business Intelligence

    Ms. Lam is the Business Intelligence Manager at Optoro, a growth-stage technology company producing warehouse solutions for reverse logistics. She works on data requirements gathering, metrics standardization, and dashboard creation. Her background as a data analyst and consumer has given her the context necessary to optimize the data experience for the end user; as such, she instigated and is leading the Tableau Ambassadors Group, Optoro's internal BI Center of Excellence. Ms. Lam graduated with a Bachelor of Science in Economics from the Wharton School at the University of Pennsylvania.

    Vanessa Lam is speaker of the following session:

    Jack Levis
    Jack Levis

    Senior Director, Process Management

    "Through the marriage of technology, information and analytics UPS reduces cost and improves services. These advanced technologies streamline our business processes and ultimately benefit our customers."

    Jack Levis, Senior Director of Process Management, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity.

    Under Jack's direction, UPS has completed integration of multiple operations systems, requiring extensive system engineering, usability and analytics provisions. These systems ultimately synchronize the flow of data throughout UPS, allowing the seamless movement of goods, funds and information.

    Jack has been the business owner and process designer for UPS' award-winning Package Flow Technology suite of systems, a breakthrough change for UPS, resulting in 85 million fewer miles driven each year.

    His team designed UPS' next generation of dispatching technologies which use advanced optimizations. The world-class optimizations and systems, UPS ORION, On-Road Integrated Optimization and Navigation, is in deployment and will provide significant operational benefits to UPS and 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.

    Jack holds advisory council positions for multiple universities and associations, including the U.S. Census Bureau Scientific Advisory Committee.

    In his spare time, Jack enjoys baseball, scuba diving, skiing, home electronics and Corvettes. He lives in York, Pa. with his wife and four children.

    Jack Levis is speaker of the following session:

    Wes Madrigal
    Wes Madrigal

    Machine Learning Engineer

    Wes is a data science innovator, with a career of experience working on projects that elevate data science solutions to business problems.  With a strong background in software engineering, analytics, and machine learning Wes is able to bridge the gap between computer science and data science.  Wes has built software to streamline machine learning at scale, built product integrated machine learning models that drive revenue by increasing product ROI, and answered countless questions with deep dive analysis projects.

    Wes Madrigal is speaker of the following session:

    Jaya Mathew
    Jaya Mathew

    Senior Data Scientist

    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.

    Jaya Mathew is speaker of the following session:

    Steve Miller
    Steve Miller

    Vice President, Controls and Protection Division

    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).

    Irene Petrick
    Irene Petrick

    Senior Director of Industrial Innovation

    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 Ramirez
    Steven Ramirez

    CEO

    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.

    Satyendra Rana
    Satyendra Rana

    Chief Technology Officer

    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.

    Satyendra Rana is speaker of the following session:

    Anando Sen
    Anando Sen

    Product Manager

    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 Shokoohi-Yekta
    Mohammad Shokoohi-Yekta

    Former Senior Data Scientist, Apple, and joining Microsoft soon

    Mohammad is a Senior Data Scientist and Lecturer at Stanford University, and the co-founder of MedicalBlockchain.ai. He worked at Apple in California for 4 years, Samsung, Bosch, General Electric Research and UCLA on predictive modeling projects. 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 30 Data Summits/Conferences around the globe.

    Mohammad Shokoohi-Yekta is speaker of the following session:

    Nicole Antoinette Smith
    Nicole Antoinette Smith

    Lecturer

    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.

    Nicole Antoinette Smith is speaker of the following sessions:

    Lyle Sprinkle
    Lyle Sprinkle

    Director: Meters, Relays & IoT Solutions

    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
    Greg Stevens

    Manager, Advanced Analytics

    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.

    Greg Stevens is speaker of the following session:

    Yong Sun
    Yong Sun

    Supervisor

    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.

    Yong Sun is speaker of the following session:

    Robert Welborn
    Robert Welborn

    Head of Data Science, Connected Car

    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.

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