* Special Announcement *

Dear friends and colleagues,

After postponing the 2020 & 20221 AI, Big Data and Analytics Summit. We are excited to announce the AI, Big Data and Analytics summit is back! We are looking forward to some lively discussions and learning opportunities in the spring.

Those of you who have registered for the postponed events do not need to take any action – your registration will carry over to the new date. We will send new notifications during the summer.

Thank you for your understanding the past two years and please know that we consider your health and safety to be a top priority at our 2023 summit. We’ll see you in the spring!

Conference for Business by Business

Learn big data & analytics best practices from top practitioners 

Big Data & Analytics Summit Panelists
Learn from leading Businesses

The Big Data & Analytics Summit, launched in 2012, provides an ideal venue for leaders from around the region to share ideas, insights, and best practices that will help organization’s approach to big data & business analytics.

So if you want to create a more robust big data practice or implement new equipment, platforms, and software then you need to be in Detroit for the region’s premier Big Data & Analytics Summit.

Who you will see

Our primary audience is industry, with over 75% of our attendees coming from the business community. Other attendees include faculty members and students who are actively conducting research in the big data and analytics space.

  • C-Level IT Executives
  • IT, PD, MFG, Supply Chain, Marketing Directors
  • IT, PD, MFG, Supply Chain, Marketing Managers
  • IT Decision-Makers
  • Business Executives
  • Anybody interested in knowing more about Big Data & Analytics
Big Data & Analytics Summit - Chart of Attendees
Big Data & Analytics Summit - Presentation Session
Keynotes, Panels, and Case Studies, not Sales Pitches

The features at each summit change year to year. We are still finalizing the event, but you can check out some of the past features which include:

  • Tutorials on Big Data Processing, Enterprise Analytics, Developing a Cloud Strategy, and Platforms for Health and Life Sciences
  • Discussion from executives and directors from a broad range of industries sharing their insights, case studies, and ROI
  • Keynote addresses from experts who understand the potential for big data to improve their operations and the business case that they made in implementation
  • Panel discussions on getting your organization’s big data and business analytics initiatives right





Our Keynote, Panelists, & Workshop Presenters

Thierry Pelligrino – Keynote Speaker

VP & GM for AI / HPC @ Dell


VP Data Science @ GM Financial

Kerry Schaffer

Sr. Director of IT @ OneMagnify, 2020 Pivotal Vanguard

Nick Ilitch

Chief Strategy Officer @ Donyati

Dejan Mitkovski

Head of Analytics - Auto @ Google

Mary Willcock

Data Scientist, Architect @ Talavant

Bob Foreman

Senior Software Engineer @ LexisNexis Risk Solutions

    Adam Yatooma

    Customer Engineer @ Google Cloud Platform


    Professor @ Wayne State University

    Companies Presenting include

    donyati company logo
    google company logo
    General Motors Logo 2015-current
    zf logo
    initech global
    Oshkosh Corporation
    Mark III Systems
    hap logo
    DRiV Logo
    GM Financial
    mms holdings logo


    All events take place on the 2nd Floor of the Student Center Building

    8:00AM | 2nd Floor & Ballroom
    Event Registration & Breakfast

    Attendees can check-in at the registration table located on the 2nd Floor of the Student Center Building at the north end of the building. Continental Breakfast will be available to all registered attendees located near the main ballroom.

    MLflow is an incredible open-source tool that offers excellent solutions to tracking each iteration of machine learning application, comparing each run, then packaging up the top-performing model and implementing the model. This tool reinforces model development best practices and provides excellent, easily implemented support. In this tutorial, we will review model development best practices, then spend time implementing MLflow with hands-on practice of the open-source tools.

    Speaker: Mary Willcock

    Coming from a non-traditional background, Mary worked in the financial industry for ten years prior to continuing her education at Northwestern University with a Master’s degree in Data Science specializing in Analytics and Modeling. As a Data Scientist, Mary has worked in the Education Technology and Retail industries and now at Talavant Mary is building the data science part of the consultant practice and gaining experience in a wide variety of industries and projects. Mary values effective solutions that can make a real difference in the way business is run. With a passion for learning, Mary works to stay at the forefront of data science, always learning more about implementing AI techniques and building an organization from hindsight to foresight through data.

    Mary Willcock, Data Scientist & Architect @ Talavant

    The performance of machine learning approaches is heavily dependent on the choice and quality of data representation. Deep learning is part of a broader family of machine learning methods based on learning meaningful and effective data representations, as opposed to feature engineering. This tutorial aims to provide a path for a deep neural networks newcomer to gain some understanding of this vast and complex topic. To facilitate a real understanding of deep learning, basic machine learning theory and concepts will also be covered to some degree. Finally, we will present some interesting applications of deep learning in speech and image analysis, developed in Machine Vision and Pattern Recognition Lab. at Wayne State University.

    Speaker: Dr. Ming Dong

    Ming Dong received his B. S. degrees in electrical engineering and industrial management engineering from Shanghai Jiao Tong University, Shanghai, China, in 1995. He received his Ph. D degree in electrical engineering from University of Cincinnati in 2001. He is currently a professor in the Department Computer Science and the co-director of the Data Science and Business Analytics program and the Big Data & Business Analytics Group at Wayne State University. He is also the director of the Machine Vision and Pattern Recognition Lab. Dr. Dong’s areas of research include deep learning, data mining, and computer vision with applications in health informatics and automotive industry. His research is funded by National Science Foundation, National Institutes of Health, State of Michigan, Private Foundations (e.g., Michigan Health Endorsement Fund, Epilepsy Foundation) and Industries (e.g., APB Investment, Ford Motor Company). He has published over 100 technical articles in premium journals and conferences in related fields, e.g., TMM, TPAMI, TKDE, TNN, TVCG, TC, IEEE CVPR, IEEE ICCV, IEEE ICDM, ACM MM, AMIA and WWW. He is/was an associate editor of Statistical Analysis and Data Mining, the American Statistical Association (ASA) Data Science Journal (since 2018), Journal of Smart Health (Since 2016), IEEE Transactions on Neural Networks (2008-2011), and Pattern Analysis and Applications (2007-2010), and served in many conference program committees and US National Science Foundation panels. He also served as senior research consultant in Baidu Inc. in 2008.

    Dr. Ming Dong, Professor, Machine Vision and Pattern Recognition Lab @ Wayne State University
    12:00PM - 2:00PM | Ballroom
    Tutorial Luncheon

    All enterprises want to be data-driven, however, most businesses seem to struggle with the basics. This introductory hands-on workshop will expose the audience to basic best practices on how to deep-dive into data sets, exploit traditional databases, apply basic machine learning and AI methods, and analyze trends for business insights. Participants will receive instructions around any necessary software installation in advance of the workshop to come prepared for the hands-on activities.

    Speaker: Adam Yatooma

    Adam is a Customer Engineer with the Google Cloud Platform team and helps customers transform and evolve their business through the use of Google’s global network, web-scale data centers and software infrastructure. He has over a decade of experience in software consulting and sales.

    Adam Yatooma, Customer Engineer @ Google Cloud Platform

    Learn why the truly open source HPCC Systems platform is Better at Big Data and learn how ECL can empower you to build powerful data queries all while indulging your passion for music. Anyone who needs a basic familiarity of the platform and wants to learn best practices with the easy to learn, declarative ECL language should attend. This workshop will take the student through the data extraction, transformation and delivery cycle using HPCC Systems and ECL. Code examples and hands-on lessons will be included. A public dataset based on the Million Song Dataset and other auxiliary data will be used.

    Class Prerequisites – Bring your laptop for this hands-on learning workshop: Course includes thumb drive which included data, code and documentation as well as connection to an AWS cluster.

    Speaker: Bob Foreman

    Bob Foreman has worked with LexisNexis and the open source big data HPCC Systems technology platform and the ECL programming language for more than 9 years, and has been a technical trainer for more than 25 years. He is the developer and designer of the HPCC Systems Online Training Courses, and is the Senior Instructor for all classroom and remote training. This includes: Introduction to ECL (Part 1 and 2) – Concepts and Queries, the Extract, Transform and Load (ETL) Process, Advanced ECL (Part 1 and 2) – Working with Relational Data, Super files, Working with XML, and Free-form Text Parsing, ROXIE ECL – Indexes and Queries, Complex Query Development, and Applied ECL – ECL Code Generation Tools.

    Bob Foreman, Senior Software Engineer, LexisNexis Risk Solutions
    8:00AM - 9:30AM | Main Hallway
    Event Registration & Breakfast

    Attendees can check-in at the registration table located on the 2nd Floor of the Student Center Building at the north end of the building. Continental Breakfast will be available to all registered attendees located near the main ballroom.

    Ratna Babu Chinnam, Co-Director, Big Data & Analytics Group, Wayne State University
    Keith Whitfield, Provost, Wayne State University
    Patrick Gossman, Deputy CIO for Research, Wayne State University
    Daren Hubbard, Chief Information Officer, Wayne State University

    “Factory of Future – Center of Excellence: University, Industry and Government Collaboration”

    Speaker: Noman Husain, Founder at TRANSFORMability

    TRANSFORMability is a non-traditional transformation platform providing simple but effective solutions to enhance people & business performance leveraging organizational DNA to drive innovation and improvement.

    “Getting Your Business Digital Transformation Right”

    Thierry Pellegrino

    Thierry Pellegrino is the Head of Business Strategy for the Server Infrastructure Solutions organization at Dell EMC and GM for the HPC business. A 22-year Dell Veteran, Thierry is an experienced Executive with a background in Engineering, Go to Market, Technology M&A and Strategy. During his tenure at Dell, he led the first Dell Converged Infrastructure Product (M1000e), assembled the Global OEM Custom Engineering organization, was in charge of Technology Strategy for the Merger between Dell and EMC and now has responsibility over the Global HPC business for Dell EMC and the Business Strategy and Transformation for the overall $20B+ Server Infrastructure Solutions group.

    In his current role he leads all aspects of the Global HPC business for Dell EMC (Engineering across the entire portfolio, Product Management, GTM and enablement), he also forms and shapes the business strategy direction for multiple value chain organizations tied to the Server Infrastructure Solutions business within Dell for the next 5-10 years, working closely with the Product teams and the CTO organization.

    Thierry reports directly to Ashley Gorakhpurwalla – GM and President Server Infrastructure Solutions Dell EMC. Thierry has a strong global background – born and raised in France, he also speaks 5 languages. He spent his last 22 years in Austin, Texas where he currently lives.

    Thierry Pellegrino, VP & GM for AI / HPC @ Dell
    11:00AM-11:30AM | Main Hallway & Room 285 (near Ballroom)
    Coffee Break / Vendor Displays / Networking / Poster Session
    Hilberry A
    Hilberry C
    Hilberry D
    “AI Business Applications at Ford”

    Bryan Goodman, PhD, Senior Manager, GDIA
    Ford Motor Company

    “AI Talent in the Economy: Insights on Skills and Diversity Using LinkedIn Data”

    Elizabeth Wilke, Global Lead of Future of Work

    “Geospatial Landscape to Analyze Predicted Demand: The Convergence of Mapping and Big Data with Azure Dev Ops”

    Dwayne Newsome, Data Engineering Manager
    Kyle Valade, Senior Data Engineer
    Joe Haggerty, Data Scientist

    “Strategic Automotive Product Development for CO2 Emissions Compliance using Big Data”

    Peter Varma, Associate Director of Product Engineering
    IHS Markit

    “Staying Human in the Age of Data”

    Subu Desaraju, EVP – Head of Performance, N.A.

    “Using PostgreSQL in your Cloud Platform”

    Kerry Schaffer, Sr. Director of IT
    OneMagnify, 2020 Pivotal Vanguard



    “Big Data and Machine Learning and Amazon’s Scale to Block Unsolicited Emails/Messages”

    Sasikanth Pagadrai, Data Engineer

    Chelsea Prush, Product Manager

    “Leveraging R and R-Shiny for your Business Science Landscape”

    Alok Rahod, Director
    Deep Devdhara, Customer Success Team
    Sudhakar Samak, Customer Success Team

    12:30PM-12:45PM | Main Hallway
    Coffee Break / Networking
    Hilberry A Hilberry B Hilberry C Hilberry D
    google company logo microsoft company logo Mark III Systems
    donyati company logo Qlik Confluent
    1:30PM - 1:45PM | Main Hallway
    Coffee Break / Networking
    Hilberry A
    Hilberry B
    Hilberry C
    Hilberry D
    “Comau’s Way to IoT and AI: Building the Factory of the Future, Now”

    Paolo Avagliano, Head of Digital Platforms

    “Using predictive AI, business analytics and enterprise forecasting in high-rates of change such as during M&A and divestitures”

    Rudy Ferrara, Director of Data Science and Applied Analytics
    Mike Schmitz, Director of Global Financial Systems

    “Lesion Detection and Classification using Multiparametric MRI with Deep Learning”

    Ning Wen, PhD, Director of Clinical Physics
    Henry Ford Health System

    “Deep Learning Empowering Edge IoT Data Analytics in Real-time”

    Amir Bahmanyari, AI/DA Advisory Engineer
    Dell Technologies

    “Next Generation Big Data Ecosystems”

    Brett Vermette, Global Director Big Data &HPC Infrastructure & Engineering
    General Motors

    “Designing a Value-Driven Strategy for Data & Analytics”

    Luis Guerra Alvarado, Director of Business Analytics for International Operations
    GM Financial

    “Revealing Adverse Events in Medicine Using Social Media and NLP”

    Richard Bryant, Senior Data Scientist
    MMS Holdings

    “ML Based Modeling in Predicting Milestones during Foreclosure Proceedings”

    Mohan Jayaraman, Head of IoT Analytics
    Seetharaman CG, CTO

    “Caterpillar IoT Analytics: Improving Customer Success with Telematics Data”

    Daniel Reaume, Chief Analytics Officer
    Andrei Khurshudov, Director of Advanced IoT Analytics

    “Anticipating Member Needs – Experiments at Credit Union ONE”

    Seetharaman Swaminathan, Senior VP & Chief Data Officer
    Credit Union One

    “HPCaaS – Lessons From a Healthcare Leader”

    Chris Brogan, VP of Sales
    Mark III / HPE


    Presenter Name, Title

    2:45PM - 3:15PM | Main Hallway
    Coffee Break / Vendor Displays / Networking
    Hilberry A
    Hilberry C
    Hilberry D
    “Using Organizational Network Analysis (ONA) to support workplace adjacency planning and improved employee communications”

    Scott Hemphill, Systems Engineer & Process Owner
    General Motors

    “DRiV’s Journey to Business Intelligence”

    Krystle Modina, Global Warranty & Data Analytics Engineer

    “B2B Sales Analytics with BI & AI”

    Raj Polanki, Head of Analytics and Data Science
    Wacker Chemical Corporation

    “High Speed Modeling Service (HSMS)”

    Mike Spadafore, Manager
    Ford Motor Company
    Naiel Samaan, Manager

    “Gaps in Enterprise Analytics: Don’t Get Blindsided”

    Parth Shah, Director of FDL Outcomes
    General Electric


    Monica Kedzierski, Senior Director of Digital Analytics and Automation
    Harman International

    “IoT telematics Data: Big Data Insight from the vehicle to the customer”

    Moe Saleh, Principal Data Scientist
    Oshkosh Corporation

    “Getting AI and ML concepts into production: Lessons learned from multiple failures”

    Beaumont Vance, Head of AI, Data Science and Emerging Technology
    TD Ameritrade

    “Application of Analytics to Drive Value on the Shop Floor”

    Jeff Sutter, Global Director, I&CIM
    Nexteer Automotive

    Moderator: Dr. Ratna Babu Chinnam, Co-Director, AI, Big Data & Analytics Group, Wayne State University

    Company Panel Member
    Kerry Schaffer, Senior Director of IT & 2020 Pivotal Vanguard
    Dejan Mitkovski, Head of Analytics – Auto
    Nick Ilitch, Chief Strategy Officer
    Nabil Raad, VP of Data Science
    5:15PM - 8:00PM | Ballroom
    Closing Remarks / Prize Drawings / Networking Reception

    Our Past Sponsors

    these awesome companies support us

    donyati company logo
    google company logo
    Mark III Systems
    Wayne State Industrial & Systems Engineering

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      what people are saying about the Big Data & Analytics Summit

      What makes this event is the interaction of people, the sharing of ideas, and being able to bring a community together to have a good dialog around big data.
      NICK CURCURUVP @ Mastercard
      The topics at this event can be useful and span across a range of companies from startups to large corporations and throughout various vertical markets.
      Wayne State is one of the leaders in this space and provides a great opportunity to speak with students and industry at the same time.

      Attend the Big Data & Analytics Summit now!

      See past presenters

      Meet our most valued speakers

      WSU Student Center Building
      • 5221 Gullen Mall, Detroit, MI
      • bigdata@wayne.edu
      • (313) 577-5683
      • March 16-17, 2023