2025 Great Lakes Data, AI & Analytics Summit

Are you concerned that Artificial Intelligence (AI) might take over your job? Whether your answer is yes or no, there's no denying that AI is rapidly transforming our industries. To not just keep up but truly excel, it's essential to proactively adapt and equip yourself with the right strategies. You don't want to miss this keynote! We'll explore practical approaches to ensure your career remains resilient and thriving in the AI era and beyond.

Your key takeaways will include:

- Insights on staying current in the AI landscape.

- Essential skills to enhance your professional relevance and demand.

- Strategies for effective human-AI collaboration.

- Guidelines for responsible and ethical AI use.

By adopting these strategies, you'll be well-prepared to navigate the ever-changing tech landscape, future-proofing your career growth and success.

Presented by: Dora Boussias, DoraB Global

An award-winning thought leader in AI, Data, and Leadership, Dora Boussias is a global keynote speaker, career & leadership coach, and strategic advisor with a passion for business transformation and impact. With 30 years of real-world experience at top firms like GE, Stryker, and Prudential, she has led complex transformations while mentoring and empowering professionals to accelerate success with clarity, confidence, and proven strategies.

An immigrant at 17 with limited English, Dora rose through the ranks to executive leadership, gaining expertise across Financial Services, Insurance, Retail, Education, and Healthcare/MedTech. Recognized with numerous industry accolades, including Global Data Power Woman and AI100 Innovation Leader, she serves on multiple boards and has been featured in leading publications, NYC Times Square, and over 30 podcasts.

After transitioning from corporate, Dora’s mission is clear: to help professionals in data and tech fast-track success, lead with confidence, and create lasting impact in their careers and organizations.

In today’s fast-paced data landscape, leading data teams requires navigating a unique set of challenges. This session explores strategies for managing data teams in engineering environments, turning infinite backlogs into actionable plans, and balancing stakeholder investment with technical sustainability. Attendees will gain insights into bridging business requirements with technical specs, emphasizing that engineering isn’t complete until data is truly usable. The discussion will also highlight the importance of creating scalable, maintainable solutions over “one-and-done” fixes, ensuring coordination for production pipeline support, and investing in unified data infrastructures. Whether you’re a data leader or aspiring to become one, this session will equip you with practical tips to build high-performing, sustainable data teams that deliver value and a single source of truth.

Presented by: Brittany Spencer & Harini Rajagopal, AAA Life Insurance

I'm a passionate data and people leader, skilled at uniting executive leadership, business SMEs, and technical teams to achieve corporate goals through innovative data strategies. I have extensive experience leading end-to-end data teams, focusing on master data management, governance, and democratization. With expertise across the data lifecycle, I’m proficient in analytics engineering, machine learning, and the modeling pipeline, from data cleaning to model deployment. I’ve developed models for diverse applications, including marketing strategy and stock prediction, and specialize in tools like dbt, Redshift, Snowflake, and BI platforms such as Power BI and Looker. Additionally, I’ve built custom data applications using R Shiny and Dash to meet unique business needs. Dedicated to fostering growth in individuals and teams, I thrive on advancing both data capabilities and professional development.

Harini Rajagopal, AAA Life Insurance

I lead data engineering teams with expertise in building scalable, robust data pipelines that handle terabytes of data, while mastering all five facets of software development: Infrastructure as Code (AWS CDK, Terraform), CI/CD (GitLab CI, AWS Data Pipeline), Version Control (GitHub, GitLab), Testing (Great Expectations), and Monitoring (Email/Slack integrations). My skills include AWS, Python, SQL, Terraform, Snowflake, Fivetran, and Airflow. I’m passionate about mentoring, having guided others through AnitaB.Org and Grace Hopper Celebration, where I also reviewed research papers. My certifications include AWS Data Analytics – Specialty, AWS Developer – Associate, and a Harvard Business School Online Strategy Execution Certificate. Additionally, I’ve shared insights at events like CDK Day 2022. Whether it’s developing efficient pipelines or fostering growth in others, I thrive on advancing data engineering capabilities.

PR Agencies have historically been a place for words and relationships, not numbers, despite the best efforts of large SaaS companies to capitalize on the need for communications expertise. With Delve (by Marker Collective), a small team of AI + development experts tapped a chorus of SMEs across PR and Analytics functions at three agencies to grow a product from the seed of need. It’s a use case many will hopefully identify with and replicate as AI expertise empowers agile teams with new development opportunities for companies small and large.

Presented by: Aaron Lemly, Outcast PR (Next 15 Communications) & Dylan Pyle, Marker Collective (Next 15 Communications)

Aaron is Senior Director of Marketing Analytics at Outcast PR, supporting innovative clients like OpenAI, Amazon, Meta, and Bloomberg Philanthropies. He leads measurement, KPI setting, business intelligence, and data product development across the US and Europe, providing actionable insights for PR, social, and paid campaigns. Aaron is a founding member of Outcast's AI adoption and consultancy practice, leveraging agile and lean methodologies to streamline processes and drive innovation.

Dylan Pyle, Marker Collective

Dylan serves as CTO at Marker, a joint venture from three leading communications agencies—Archetype, Outcast PR, and Nectar. At Marker, he leads product development efforts, building software products to accelerate agency teams and deliver data-driven tools and insights to customers. Before Marker, Dylan spent over a decade in engineering leadership roles, including as co-founder of CALA (acquired by H&M), a pioneer in apparel software and generative AI.

In this session, Apurva will share her journey in pioneering the Data Governance and Engineering Excellence program at Autodesk, to support Enterprise Data Hub that became the foundation for data products across the entire company. She will dive into key lessons learned around change management, offering valuable insights on how to successfully drive adoption and ensure lasting impact for programs like this. With a focus on best practices and strategies that resonate across teams, Apurva will provide a roadmap for fostering collaboration and empowering an organization to fully embrace data-driven transformation.

Presented by: Apurva Wadodkar, AutoDesk

Apurva Wadodkar is a seasoned leader in Data Science and Advanced Analytics, with over 20 years of experience turning data into powerful business tools. Her expertise lies in pairing well-governed, high-quality data with cutting-edge AI/ML products to create solutions that are as reliable as they are innovative. Whether it’s driving transformative growth, streamlining operations, or unlocking hidden efficiencies, Apurva knows how to make data work smarter and harder for businesses.

Apurva is a dedicated mentor with a mission to shape the next generation of tech leaders. As an advisory board member for the Michigan Council of Women in Technology, Apurva combines her passion for diversity with her commitment to nurturing talent, creating opportunities that inspire and empower future innovators in technology.

In this demo session, we'll explore how manufacturers can leverage Snowflake's powerful data platform to transform operations and gain actionable insights.  We'll demonstrate real-time OT data ingestion into Snowflake using industry-preferred edge solutions and data brokers. You'll see efficient data streaming from sensors, PLCs, and shop floor systems, and learn how Snowflake provides scalable processing of high-volume data while integrating with enterprise data sources.  We'll showcase how Snowflake Cortex, our advanced AI and machine learning platform, can be applied to manufacturing data to unlock valuable insights. We'll demonstrate using conversational AI to query your data and outline decision criteria for evaluating smart manufacturing solutions.  Through live demonstrations and real-world use cases, you'll understand how these technologies improve efficiency, reduce costs, and drive innovation. Join us to explore the future of smart manufacturing and learn how your organization can thrive in the Industry 4.0 era.

Presented by: Chris Smith, Snowflake

Chris Smith is a Senior Solution Engineer at Snowflake where he is a thought leader for data and AI, crafting solutions on Snowflake for all the largest Automotive OEMs in the world. Prior to Snowflake, Chris built an extensive background in the automotive industry, working directly within the IT and analytics space at companies like GM and Stellantis for 15 years. He has a Bachelor of Science in Computer Science & Mathematics and an MBA focused on Management Information Systems, which allow Chris to bring a unique blend of technical expertise, business acumen, and practical industry knowledge to his customers. Beyond his professional pursuits, Chris is an avid DIY enthusiast, tackling home renovation projects and working on cars in his spare time. He finds balance in his personal life by dedicating quality time to his wife and four young children.

In this presentation, I will delve into the transformative role of generative AI (GenAI) in accelerating the need for Data Unification within organizations. This innovative process unites various data-driven functions—such as enterprise integration, reporting, AI development, and data science—around a shared core of information, despite differing objectives. Central to this strategy is the implementation of a Logical Data Fabric, which is critical for transcending simple centralization. It ensures that data is not only centralized but also harmonized across the organization, making it accessible, consistent, and actionable.

The integration of GenAI with a Logical Data Fabric has been pivotal in this shift, enabling faster integration and real-time data processing that are essential for agile decision-making in today’s fast-paced business landscapes. This approach not only boosts data analytics capabilities, including predictive insights and enhanced governance, but also significantly improves operational efficiency by reducing redundancies and streamlining data management. The Logical Data Fabric thus serves as the backbone of Data Unification, enabling a seamless flow of information that supports diverse business needs and drives organizational success.

Learn how Logical Data Fabric

- Enables Enterprise-Wide consistent data management practices that are standardized yet flexible enough to meet the specific needs of different departments

- Fosters cross-functional collaboration by providing a common platform where data from various business functions can be integrated and analyzed cohesively

- Scales effectively to accommodate increasing data volumes and complexity ensuring that data management remains robust and agile and capable of supporting both current and future business demands.

Presented by: Terry Dorsey, Denodo

Terry, a seasoned IT professional with 30 years of experience, serves as the Senior Data Architect and North America's Evangelist for Denodo. She holds degrees in Applied Mathematics, Information Science, and Analytics and is currently pursuing a Ph.D. in Data Science at Harrisburg University. With a rich career spanning various industries, Terry has significantly contributed to Business Intelligence, Software Development, Integration, and Enterprise-level Architecture. Her expertise includes operationalizing AI, leading Enterprise Integration, facilitating Cloud and ERP migrations, and establishing self-service analytics.

Retrieval Augmented Generation (RAG) has transformed content creation by enabling enterprises to leverage AI with their own data. In this talk we share the journey of developing WordSmith, a RAG application built on the Microsoft technology stack and OpenAI model APIs.  WordSmith is designed to assist marketing staff at SmithGroup, a leading architecture and engineering firm, streamline responses to project RFPs. We walk through the development of WordSmith from its initial POC to a fully developed production system, discussing key technical decisions, challenges, lessons learned along the way, and what is on the horizon. Attendees will gain insights about search and retrieval techniques, securely integrating enterprise data, and deploying scalable AI solutions that drive business impact.

Presented by: Peter McNally, SmithGroup

Peter is an accomplished Data Scientist with over 15 years of experience leveraging advanced analytics, machine learning, and data visualization to drive business and operational insights. Currently working at SmithGroup, Peter has held similar roles at Ford Motor Company, Incite Informatics and XPO Logistics. Peter recently presented work at the ASHRAE Building Performance Conference and was published in the Journal of Building Engineering. He holds a Master’s degree in Urban Planning and a dual Bachelor’s degree in Mathematics and Philosophy, both from the University of Michigan in Ann Arbor.

The average organization aggregates data from over 400 sources. While traditional DIY pipelines may offer benefits like control and customization, they come at the expense of scalability, reliability and maintenance costs.
In our session, you will discover:

- The complexity of scaling data movement with DIY data pipelines and the challenges it presents

- How to better control costs and streamline operations using a managed, automated data pipeline platform

- The benefits of leveraging a modern, interoperable platform to enhance performance for advanced analytics and AI initiatives

Presented by: Chris Rudolph, Fivetran

Chris is a Lead Sales Engineer at Fivetran, helping enterprise customers simplify data movement across their organizations. His initial focus was on data replication from IBM z/OS & z/VSE databases (Adabas, IDMS, Db2 & VSAM) to relational databases, and then later expanded into relational database replication and complex bi-directional data use cases. At Fivetran Chris champions replacing costly & cumbersome DIY data movement processes with automated data pipelines. He is deeply involved with Fivetran’s Hybrid Deployment which deploys data pipelines within an organization’s VPC.

Chris joined Fivetran in 2022 and was previously at Treehouse Software, Inc where he performed a variety of pre & post-sales roles. Outside of work he enjoys all things Pittsburgh, running, and restoring MGBs.

In a growing company, having a data strategy is the difference between efficiency and chaos. Without one, teams operate ad hoc, doing repetitive work, while facing inefficiencies and missed opportunities. A data strategy isn’t a one-time decision, it must evolve with business needs and client expectations.

My talk will cover three key phases of data strategy:

1. Establishing a Foundation: Defining data collection, storage, and reporting to align with business goals, while balancing resource constraints.

2. Recognizing When to Evolve: Identifying signals like process inefficiencies, changing client needs, and new product developments that indicate it’s time to revisit the strategy.

3. Adapting the Strategy by Modifying, Expanding, or Pivoting

- Modify: Improve reporting or visualization for clarity.

- Expand: Collect new data or enhance metadata to meet growing business needs.

- Pivot: Adjust entirely due to major business or technical shifts.

Presented by: Ally Cronander, AdAdapted

Ally is the Team Lead of Analytics & Data at AdAdapted, where she leverages over five years of experience in AdTech to drive data-driven decision-making. She specializes in analytics and business intelligence solutions that empower both clients and internal teams with actionable insights. With a degree in Statistics and Computational Mathematics from Michigan State University, Ally has a passion for turning complex data into strategic opportunities. Originally from Michigan, she now resides in Denver, Colorado, where she enjoys skiing and hiking with her dog, Basil.

This session explores the complexity and multiple layers of data sources and variables found in advanced data analytics models that aid in combatting food insecurity for large scale urban areas, namely Detroit metropolitan. These models involve geo, time, supply chain, and human impact indexes and measures. Forgotten Harvest, along with WIT Solutions has created flexible and dynamic models that empower the organization to optimize the entire supply chain while pursuing its mission of human impact. The models are perpetually evolving and have been designed to be system agnostic. This enables them to be scaled across the food insecurity industry to disparate business models that employ a diverse set of ERP systems. This session provokes the question What If? What if we employed these approaches to solve business use case challenges in other industries?

Presented by: Mike Butman, Forgotten Harvest

A native Detroiter, Mike brings his multi-decade career in technology consulting and executive IT leadership to fight food insecurity in Southeastern Michigan as the CIO and an Officer of Forgotten Harvest. Mike is known as a collaborative digital transformation leader, innovator, speaker, and CIO roundtable facilitator. His vision is to create a nonprofit innovation roadmap locally and give it back to the national food security industry, Feeding America. Mike’s experience spans multiple for-profit and not-for-profit entities from a variety of industries including Manufacturing, Distribution, Public Accounting, Health Care, K12 – Higher Education, and Museum Attractions. He has architected and developed complex DBMS and Business Intelligence Frameworks as well as implemented numerous full scale ERP platforms. As an Analyst/Developer and Operations Research Expert by education, he has optimized and innovated businesses at scale and speed.

Without healthy data, every decision is at risk. High-quality data allows you to reach more customers, unlock new partnerships, implement new business models, become more agile, and move faster than competitors. However, most organizations focus their data-quality efforts on cleaning up errors, rather than finding and fixing the root cause of the errors in the first place. As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics and AI demands in a scalable way.

Please join Bobbi Caggianelli, Global Practitioner, Customer Engineering, Collibra, in a practical discussion of how data quality and observability can help you shape your data and AI strategy. She’ll discuss:

- Top trends in data quality and observability

- Ownership of review and remediation

- Steps to drive data quality adoption and ensure success

Presented by: Bobbi Caggianelli, Collibra

Bobbi Caggianelli, Global Practitioner, Customer Engineering, Collibra: Prior to joining Collibra, Bobbi Caggianelli spent four years building a data governance and quality practice from scratch at a multi-billion dollar life and annuity company. She joined Colliba after working with Collibra's toolset, in part to share her experience with others. Her goal is to help companies build a successful governance practice and show them how Collibra enables that maturation journey. Bobbi has an MS in Business Analytics and is a Master Black Belt in Six Sigma.

Presented by: Evan Delcamp and Rachel Sanders, Trinity Health IHA

In this session, join Trinity Health Michigan Medical Groups’ Business Intelligence professionals for a look at our journey of implementing successful data strategies across the state. These strategies, which originated with the Southeast Michigan Medical Group, involve the formation of our BI team and overcoming growth challenges by empowering others to leverage data effectively. We’ll discuss our approaches to developing self-serve tools, fostering trust and buy-in, and uplifting non-technical users with support and training. Discover ways to engage customers through collaborative discussions, spark curiosity for data, and build digestible insights. Learn from our experiences in cultivating a data-driven mindset across all levels of our organization, from leadership to frontline employees.

Evan Delcamp has worked as a Business Intelligence Analyst at Trinity Health Michigan Medical Group since 2021. He has a passion for answering difficult questions with data, and enjoys fostering that curiosity for data in others. His interest in patient care analytics has been evident while leading many critical projects, including reporting tools for understanding provider messaging and patient access to care. Evan is currently enrolled in a Master’s in Data Science program at University of Michigan in order to strengthen his analytical skills further. Prior to working at Trinity Health Michigan Medical Group, he received a Bachelor’s in Business Administration from Eastern Michigan, with a concentration in Economics and a minor in Mathematics.

Rachel Sanders, Trinity Health IHA

Rachel Sanders has worked in the healthcare industry for 25+ years, both on the clinical and administrative sides. She joined Trinity Health Michigan Medical Group’s Business Intelligence team as a BI Analyst in 2022 after holding a variety of previous roles within the organization, such as Revenue AR Manager, Applications Specialist, EMR Analyst, and became a credentialed Epic trainer during the organization’s largest EMR implementation. Being a past customer of the BI group, she understands the gap between technical and non-technical users and how to meet people where they are at. She enjoys training users on their tools and supporting customers with their organizational goals and growing programs.

Drive faster time-to-value for business insights with AI-powered SAP solutions. This session explores how customers leverage SAP Analytics Cloud, the SAP Business Technology Platform, and the Business Data Cloud to rapidly deliver impactful results. Learn how SAP simplifies data integration across silos, combining SAP application data with external sources while preserving crucial business context.

Presented by: Bob Sakalas, SAP

Many customers struggle to maximize the value of complex I.T. landscapes. Bob helps customers understand key issues and new opportunities with clarity. In a career that spans more than three decades, his mission has always been simplifying innovation topics. He currently serves as the Business Technology Platform (BTP) Evangelist for North America.

Join GoodData and MSX International to explore how together they are transforming the auto industry with custom data products. Learn how MSX International leverages GoodData's platform to build scalable, multi-tenant solutions tailored to the unique needs of auto manufacturers. Discover best practices, key challenges, and real-world examples of creating data-driven insights that improve decision-making, drive efficiency, and unlock new business opportunities..

Presented by: Ryan Dolley, GoodData and Cory Allen, MSX

Ryan Dolley is Vice President of Product Strategy at GoodData and co-host of the Super Data Brothers Show. He has 13 years experience in the analytics and business intelligence industry as an engineer, consultant and product executive. He's an avid dungeon master, chicken farmer, husband and father to 3 children.

Presented by: Cory Allen, MSX International

Cory is a Global Delivery Leader for Actionable Insights at MSXI with over 15 years of experience. He excels in driving innovation, operational excellence, and data-driven decision-making. Cory has a proven ability to build high-performing teams and lead multimillion-dollar initiatives, aligning data and technology to optimize business performance for top global mobility clients.

Ryan, with a remarkable 31-year career, has traversed diverse landscapes, from the intricate workings of FA-18 Aircraft weapons systems in the US Navy to his current role as Vice President of Enterprise Analytics at Michigan State University Federal Credit Union. His journey has been nothing short of rewarding, and the situations he’s navigated have shaped a unique perspective on team building and innovation. Ryan’s broad experience stems from his insatiable curiosity. He’s explored various domains, always seeking to understand the intricate gears that power organizations. Ryan’s journey has seen him don multiple hats—Internal Audit, IT infrastructure, Enterprise Cloud Architecture, Data Engineering, and Analytics. Armed with a master’s degree in information security, Ryan has fortified his expertise in safeguarding critical data while his passion lies in continuous improvement. Whether it’s optimizing processes, fostering innovation, or nurturing talent, he’s always offering ways he can help the organization move forward.

Nathan has over two decades of experience in logistics and supply chain management, focused heavily in the Automotive sector. He is currently a Senior Director of Supply Chain Excellence at Ryder Integrated Logistics, leading the full domestic LLP operations for a major Automotive OEM.  Nathan holds a B.S. in Pure Mathematics from the University of Michigan and has a proven track record of focusing on cost savings and network efficiency. managing high-level strategic initiatives, including the implementation of cloud-based analytics to move beyond traditional reporting into improved cross-functional decision-making.  He pushes people development as a primary focus and strives to continuously improve both his and his team’s leadership competencies using anything from traditional organizational experts to ancient Stoicism. Beyond his professional life, Nathan enjoys being a gigging musician and trying to narrow down the hundreds of hours of podcasts in his queue. 

An award-winning thought leader in AI, Data, and Leadership, Dora Boussias is a global keynote speaker, career & leadership coach, and strategic advisor with a passion for business transformation and impact. With 30 years of real-world experience at top firms like GE, Stryker, and Prudential, she has led complex transformations while mentoring and empowering professionals to accelerate success with clarity, confidence, and proven strategies.

Larry is the Vice President of Information Technology at Ziebart International Corporation in Troy, Michigan, with over 25 years of expertise in IT operations, software engineering, and AI-driven solutions. In his current role, Larry leads a diverse team of software and network engineers, security specialists, and data analysts, driving the deployment and maintenance of advanced technology infrastructures. He has spearheaded major initiatives, including migrating on-premise servers to Microsoft Azure, rebuilding comprehensive IT infrastructures, and developing a custom AI agentic framework to orchestrate complex tasks using natural language. Larry's AI innovations encompass model fine-tuning, RAG systems, text-to-speech and speech-to-text, object classification in video and images, chatbots, and various other AI-driven applications. Additionally, he authored a Microsoft-published paper on 3-Tier data architecture. Larry holds a Bachelor of Science in Information Systems Management and multiple certifications from MIT in Cyber Security, Data Science, and Machine Learning. Passionate about leveraging data and AI to solve complex challenges, Larry is excited to share his insights and collaborate with industry leaders at the Great Lakes Data, AI & Analytics Summit.

David is the Chief Administrative Officer of North. In this role, David oversees, among other things, North's collections, compliance, legal, risk, and underwriting departments. His focus is to help guide the North’s business units successfully through the complex maze of laws, rules, regulations, and guidelines that apply to the payments industry, and to do so in a manner that enables North to maintain its position as a market leader. 

Under David's supervision, North has taken the lead in the payments industry in its utilization of data analytics, artificial intelligence and machine learning. Today, these tools represent important components of North's underwriting and risk decisioning processes. Given this success, North is currently building a productized version of these tools, which it expects to bring to the merchant acquiring market in early 2026. 

Russell Page serves as Chief Data and Information Officer. Russell oversees our data and technology strategies and the safeguard of customer profiles. In this role, he is also responsible for leading several areas of our DIT strategy including Analytics and Data Science, Cyber Security and Information Security, Corporate Systems, Network and Infrastructure Management, and Data and Storage Management. Prior to Hagerty, Russell was a member of the General Motors Financial Leadership Team, serving as the Head of Strategy & Growth for OnStar Insurance. He was responsible for strategy formulation and management, including organizational planning, leading strategic initiatives, M&A, partnerships, transformation, enterprise data, B2B relationships, and overall portfolio management.

Before General Motors, Russell served as CEO & President of DaRK Capital, a privately held technology holding company, and its worldwide operating subsidiaries. During his tenure, Russell spearheaded innovation in artificial intelligence (AI)/machine learning (ML), Information and Communications Technology (ICT) and Internet of Things (IoT) technologies to serve the insurance and transportation markets under the Imprezzio and OmniPark brands. Under Russell’s leadership, the company was named the #1 mid-sized business to work for in the Inland Northwest and recognized as a Top 25 Insurtech by CIO Applications.

Russell’s background also includes both business and technology leadership roles, serving companies such as Taylor Corporation, State Farm Insurance and Plymouth Rock Assurance.

Russell holds a Bachelor of Science in Business from Eureka College and a Master of Business Administration degree from the University of Idaho. He lives in Southeastern Michigan and enjoys spending time with his wife and two kids, Dallas and Reagan.

With a PhD in statistical astrophysics, David J. Corliss is a data science leader with a focus on emerging technology and building high-performing analytic teams. He is currently a Sr. Data Scientist at DTE Energy, with past experience leading analytics teams at automotive OEMs. Dr. Corliss serves of the board of the American Statistcal Association, teaching training courses on ethical best practices in data, analytics, and AI. He is the founder of Peace-Work, a volunteer cooperative of statisticians and data scientists applying statistical methods to support community service organizations and data-driven advocacy.

Fiona McPherson Grant has spent 20+ years in healthcare data and analytics, including pivotal roles in international software, Nth American health systems and payers in enterprise information management., business systems analysis and leading business intelligence teams.

With expertise in developing data transformation strategies, fostering customer relationships and driving technology adoption, she excels in transforming data into actionable insights. Her career is underpinned by a commitment to innovation and excellence in the healthcare data analytics space.

Based in Grand Rapids, Michigan, Fiona partners with customers to maximize value from their data product investments. She is currently CEO of FMG Data Works.

Dr. Greg Wells is a scientist, human physiologist, and best-selling author who translates complex science into practical strategies for health and peak performance.

Dr. Wells earned a Ph.D. in Human Physiology, was a tenured professor at the University of Toronto, and is now a Senior Scientist at SickKids Hospital.

Amber MacKenzie is an experienced data and analytics leader with over 20 years of expertise in higher education and healthcare. As the Director of Business Intelligence for Trinity Health Michigan Medical Groups, she drives data strategy, innovation, and integration to support business decisions and patient care.

Mark Fisher is the Director of Analytics for Mission Veterinary Partners, a Michigan-based veterinary services organization providing care for millions of pets across the country.  In December 2024, Southern Veterinary Partners (SVP) and Mission Veterinary Partners (MVP) joined to create one company, with a shared mission to take the very best care of its team members and to provide exceptional care to clients and patients.

Mark is a Digital Transformation and Analytics leader with repeated success in multiple Fortune 500 environments and a specialized focus in analytics enablement across 1000+ user bases. He has over 12 years of success at two “Big 4” Firms in leadership roles serving Fortune 100 clients.  Mark has extensive experience in multiple industries including Health Care, Automotive, Utilities, Retail, and Media & Entertainment.

Khuzema is the Data & Analytics Solutions Service Leader at Cummins. He is a highly skilled, passionate, disciplined & confident Analytics Leader with 21 years of proven track record of delivering enterprise data & analytics and business intelligence solutions. Has knowledge and expertise to enable data & analytics engine to help business make data driven and intelligent decision. A result oriented and trusted technology leader with extensive experience in leading organization through data & analytics executive strategies, analytics tool selection, analytics budgeting, resource planning, analytics project management, talent development, estimation, architecture, design/development and deployment of various data & Analytics solutions.