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 2019 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

SPEAKERS

ATTENDEES

COMPANIES PARTICIPATING

POSTER PRESENTATIONS

Our Keynote Speaker & Panelists

PAUL BALLEW – Keynote Speaker

VP, Global Chief Data & Analytics Officer @ Ford Motor

NICK CURCURU

VP of Global Big Data Consulting @ Mastercard

SUBU DESARAJU

EVP of Performance Marketing @ MRM-McCann

JAKE FREIVALD

VP of Product Marketing @ Information Builders

ANDREW FREY

Chief Technology Officer @ OneMagnify

ALAN HUDDY

VP of Advanced Analytics for Blue Cross Blue Shield of Michigan

KRISHNA KALLAKURI

President @ diwo

DANIEL REAUME

VP of Operations Research @ Revenue Analytics

RICH STRADER

Vice President, Mobility Platforms & Products @ Ford Motor Company

BEAUMONT VANCE

Director of Digital AI and Automation @ TD Ameritrade

Schedule

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

8:00AM
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.

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.

Dr. Ming Dong, Professor, Machine Vision and Pattern Recognition Lab @ Wayne State University

Introduction & Use Case
Who, What, and Why of Spark and Databricks
Demos: ATM Fraud, Housing, Insurance, and Delta
Discussion: Solution Architectures

Jordan Martz

Jordan Martz, Solutions Architect @ Databricks

Room 285 & Ballroom Hallway

Presented by Cray Inc.

Skill Requirements: Technical background and basic understanding of deep learning concepts

In this workshop, you will explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

Topics include:
• Fundamentals of deep learning by training neural networks
• Implementing common deep learning workflows, such as image classification and object detection.
• Experimenting with data, training parameters, network structure, and other strategies to increase performance and capability.
• Deploying your neural networks to start solving real-world problems.

Download & Review Attendee Setup Requirements

Charles Siegel

Charles Siegel, AI Solutions Architect @ Cray

For the first time ever, the risk that companies will fail to compete because of the rapid speed of disruptive innovation has risen to the number one spot in a study of top ten global risks. To develop resilience and promote innovation, organizations are focusing on Data and Analytics as a strategic investment priority. Yet, Data & Analytics projects are forecasted to fail at a rate of 60% and only 2% of companies are able to transform through Data and Analytics.

In this workshop, a holistic roadmap and adaptive strategy are provided as a way to guide the development of transformative Data & Analytics organizations. Participants will have a chance to reflect, explore, and discuss operational insights and practical practices for managing the transition of Data and Analytics from a tactical and fragmented role to an enterprise-wide transformative function. Key topics and questions include:
• What is the role of a Data & Analytics function?
• Data & Analytics mindset: Why thinking is fundamental?
• Planning for adaptability
• Why context and culture matter and how to embed them in the Data & Analytics strategy?
• The people strategy of Data & Analytics
• The data strategy of Data & Analytics
• The technology strategy of Data & Analytics
• How to you use Data & Analytics for Data & Analytics?
• Collaboration and alliances
• … and many others

Nabil Raad

Dr. Nabil Raad

Visit our Vendors in the Main hallway in between sessions.

Ratna Babu Chinnam, Co-Director, Big Data & Analytics Group, Wayne State University
Keith Whitfield, Provost, Wayne State University

“Leveraging Insight and Analytics: Evolution at Ford”

Paul Ballew

Paul Ballew, VP Global Chief Data & Analytics Officer @ Ford Motor Company

Visit our Vendors in the Main hallway in between sessions.

Implementing Analytics Practices Healthcare Analytics Insights to Engagements
“Shinola’s Unified Customer Record”

Mitch McLachlan, Director of Consumer Insights & Data Analytics
Shinola

“Identifying and Measuring Low-Value Care using Commercial Claims Data”

Corwin Rhyan, Senior Analyst
Altarum

“The Scoop Story: From Pixels to Answers”

Jason Corso, Co-Found & CEO
Voxel 51

“Digital Trust – Protecting you by knowing who you are”

Nick Curcuru, Vice President of Global Big Data Practice
Mastercard

“Finding Avoidable Costs”

Fred Thompson, Senior Manager
Blue Cross Blue Shield of Michigan

“Insight Driven Approach to Customer Success at Micro/Macro Level”

Alok Rathod, Director
Siemens

“First Steps: Starting the Journey Towards an Enterprise Data & Analytics Program”

Joyce LePage, IT Manager
DTE

“Leveraging Data to Determine the Cost and Root Cause of Pharmacy Waste”

Tiffany Naughton, Senior Healthcare Analyst
Vanessa Harms, Senior Healthcare Analyst
Improvement Path Systems

“Using Machine Learning and Big Data to Drive Patient Engagement and Better Health Outcomes”

Ranabir Bhakat, Executive Director, Advisory Services
Ernst & Young, LLP

Join us for a Networking Reception Sponsored by diwo. Heavy Appetizers, Beer, Wine, and Raffle Prizes!

8:00AM - 9:30AM
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.

Patrick Gossman, Deputy CIO for Research, Wayne State University
Daren Hubbard, Chief Information Officer, Wayne State University

Krishna Kallakuri from diwo - Cognitive Decision Making Platform

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

Company Panel Member
Nick Curcuru, Vice President, Global Big Data Practices
Subu Desaraju, EVP of Performance Marketing
Jake Freivald, VP of Product Marketing
Alan Huddy, VP of Advanced Analytics
Daniel Reaume, Vice President of Operations Research

Make sure to check out the Research Posters & Ask the Authors Questions during this break. Also visit our Vendors in the Main hallway in between sessions.

AI Practices Analytics Implementation Platforms & Tech
“Strategic Applications of AI in Marketing”

Chris Clayson, VP, Director of Performance Marketing & Analytics
Andrea Littles, Senior Analyst of Performance & Analytics
MRM//McCann

“Data as a Differentiator in Healthcare”

Jake Freivald, VP of Product Marketing
Information Builders

“Big Data’s Impact on Networking: How Big Buffer Switches Improve Performance”

Bobby Outlaw, Solutions Engineer
Arista Networks

“Creating the new data universe with AI: Converting human language from call centers into actionable information”

Beaumont Vance, Director of Digital AI and Automation
TD Ameritrade

“Transforming Customer Interactions”

Zak Tomich, Senior Director of Strategy & Transformation
OneMagnify
Caroline Buckley, Manager, Intelligent Customer Interactions Transformation
Ford Motor Company

“So what do I do with this new insight?…Ask diwo a Cognitive Decision Making Platform”

Krishna Kallakuri, President
diwo

“AI in HR”

Babar Bhutta, Director, Enterprise Application Engineering
GE

“Self-Service, Myth or Legend? GE Aviation’s Journey of Creating Citizen Data Scientists & Engineers”

Jennifer Leslie, Director of Data & Analytics
GE Aviation – Military
Perry Shah, Senior Manager for Software Engineering
GE Aviation
Nick Hotea, Senior Software Engineer
GE Aviation

“Big Data and In-Memory Computing”

Robert Peglar, Chief Technology Officer
Formulus Black

Grab Your Lunch and learn from our Sponsors. Sponsors will be in the Hilberry Rooms give demonstrations and short presentations about their companies, products, and services.

IoT Supply Chain Management Technology
“From Edge to Edge: the Connected Driver”

Justin Vincent, Data Scientist
MapR

“How to Increase Automotive Wholesale Parts Business by Unlocking the Data”

Neetu Seth, Founder
NITS Solutions

“Building an Exabyte-scale Data Lake”

Chance Ackley-Smith, Senior Engineer
Amazon

“Digital Transformation and Analytics – Connecting from Floor to Field”

Mohan Jayaraman, Head of IoT and Analytics
Srikanth Kintali, IoT Solutions, Principal Architect
Softura

“Automotive Pricing & Inventory Optimization with Big Data”

Daniel Reaume, Vice President of Operations Research
Revenue Analytics

“Big Data on Kubernetes with Pivotal Cloud Foundry”

Andrew Frey, Chief Information Officer
OneMagnify

“IoT Edge to Cloud Strategy”

Darryl McCartney, Director
Cisco

“Back to the Basics: Descriptive Analytics Are Transforming GM’s Capacity Planning to Create Transparency, Alignment, and Flexibility”
Angela Johnson, Senior Manager of Global Capacity Planning
General Motors
“Build the DataLake and Drain the Swamp”

Chuck Brooks, Director of Data Strategy
AAA – Auto Club Group

Visit our Vendors in the Main hallway in between sessions.

Customer Insights Advanced Analytics Technology
“Rethinking the Success Paradigm – How Autodesk Harnesses Data to Drive Bottom-Line Improvements with Customers”

Jim McNicol, Consulting Group Manager
Marcus Kim, Architecture & Engineering Consultant Manager
Lindsay Howell, Implementation Consultant
Autodesk

“Threat Analytics”

Deepinder Uppal, Assistant Division Director
Michigan State Police

“The Connected Car and Automotive Connection Lifespan”

Amir Bahmanyari, Data Analytics Architect
Dell

“Encouraging a Customer Focus in ITS”

Catherine Stafford, Director of Enterprise Data & Analytics
DTE

“Parking Favorability Score: An Analytical Solution for the Commercial Truck Parking Problem”

Lucas Lowden, Research Director, Automotive Growth & Innovation
Morpace

“Empower Your Organization with Modern Cloud Technologies”
Amar Meda, Principal Solutions Architect

DataFactZ

“Data Monetization and Data Privacy”

Jibreel Lockhard, Chief Growth Officer
Thiag Loganathan, President
Petram Data

“From Insights to Impact: Driving Business Value from Advanced Analytics”

Bryan Beaver, Business Efficiency Consultant
Blue Cross Blue Shield of Michigan

“Real Time Analtics @ Ford Motor Company with Cloudera”

Gray Gwizdz, Hadoop Systems Architect
Ford Motor Company

Moderator: Brett Vermette, Global Director – Big Data Infrastructure and Engineering, General Motors

Company Panel Member
Andrew Frey, Chief Information Officer
Krishna Kallakuri, Chief Executive Officer
Rich Strader, VP of Mobility Platforms & Products
Beaumont Vance, Head of the Enterprise Analytics Center of Excellence
Patrick Gossman, Deputy CIO

Join us for a Networking Reception Sponsored by diwo. Heavy Appetizers, Beer, Wine, and Raffle Prizes!

Newsletter signup

Receive regular conference and workshop updates in your inbox

Event registration

Hurry up and get the Early Bird tickets while they are available

TESTIMONIALS

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.
FLAVIO VILLANUSTREVP @ HPCC Systems
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.
TOM FISHERCTO @ MapR

Attend the Big Data & Analytics Summit now!

See past presenters

Meet our most valued speakers

Our Sponsors

these awesome companies support us

diwo
Information Builders
MapR
Cloudera
Cray
MMS Holdings
HIMSS Michigan
autodesk
Wayne State Industrial & Systems Engineering
WIT, Inc
databricks
Arista Networks
unravel
BCBSM
SnowFlake
DataStax
Pure Storage
dataspace
Formulus Black
credit acceptance
WSU Student Center Building
  • 5221 Gullen Mall, Detroit, MI
  • bigdata@wayne.edu
  • (313) 577-5683
  • March 21-22, 2019