Welcome to the 2026 INFORMS Analytics+ Conference
More Than a Conference — A New Way to Think
Sharpen your skills, broaden your horizons and accelerate your career at Analytics+, where data meets decision-making. Network and swap ideas with the most accomplished professionals in the field of advanced analytics.
Join us April 12–14, 2026, at the Gaylord National Resort & Convention Center located in National Harbor, MD.
Experience the Decision Centric Mindset
Analytics isn’t the goal. Decisions are.
Why Should You Attend Analytics+?
Because you are an ambitious professional, eager to share your insights and learn from the best.
Because you have a nagging suspicion that advanced analytics has reached only a small fraction of its potential, and you want to help change that.
Because you will learn to:
- Frame problems differently
- Explore decisions as design
- See analytics as not only a technical skill, but as a way of engaging with the world.
Many conferences teach you how to use tools,
Analytics+ teaches you how to think differently.
Day 1 Keynote Speaker
Scott Taylor
The Data Whisperer
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Scott Taylor, The Data Whisperer, is a leading voice in data storytelling for data management, championing the “strategic WHY” over the technical “HOW.” After decades in enterprise data, he is now a full-time content creator who shares his expertise across events, videos, podcasts, and even puppet shows. Known for his “fear of NOT public speaking,” he is a sought-after keynoter and has been recognized by DataIQ, CDO Magazine, and Dataversity as one of the industry’s most dynamic, inspiring, and engaging communicators.
His book, Telling Your Data Story, provides a practical framework for crafting a business-accessible narrative that secures executive sponsorship, stakeholder support, and ongoing funding for data initiatives. Scott lives in Black Rock, CT, where he enjoys kayaking, juggling pins, and blowing square bubbles.
Day 2 Keynote Speaker
Cynthia Rudin
Duke University
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Cynthia Rudin is the Gilbert, Louis, and Edward Lehrman Distinguished Professor in Computer Science and Electrical and Computer Engineering at Duke University. She works in interpretable machine learning, and aims to design predictive models that people can understand. She is the recipient of the IJCAI-25 John McCarthy Award, the 2024 INFORMS Society on Data Mining Prize, the 2022 AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity, the INFORMS Innovative Applications in Analytics Award, and is a 2022 Guggenheim Fellow.
Tracks
As AI moves from pilots to production, organizations need practical ways to measure performance and risk while staying ready for governance requirements. This track focuses on real-world methods for balancing security, safety, customer impact, and operational efficiency through the right evaluation and measurement practices. Sessions also cover how to build effective AI governance with clear inventories, leadership support, and streamlined processes that reduce risk while enabling responsible AI adoption.
Decision Analytics is at the forefront of transforming how organizations approach complex challenges and strategic planning. This track focuses on the advanced methodologies and frameworks that support effective decision-making, helping leaders optimize choices in uncertain environments. Gain insights into how analytics can refine decision processes, enhance strategic clarity, and drive impactful outcomes. Whether you’re looking to improve operational efficiency or navigate high-stakes scenarios, this track offers cutting-edge approaches to mastering the art of decision-making in business.
Analytics projects have many moving pieces beyond the models themselves. In this track, we discuss infrastructure, data delivery, data governance, and the rest of the analytics tools and technology stack which support data projects. By using the right kinds of tools and technologies, we can help analytics projects be more reliable and successful. Within this track, industry leaders will explain how engineering, architecture, and data delivery through visualization or other applications complement the models that drive decisions. This track provides a robust survey of the analytics ecosystem.
This track features real-world examples of analytics, O.R., and AI delivering measurable impact in operational settings. Sessions cover how to evaluate and communicate AI ROI, build data foundations and readiness to reduce failure in AI transformations, and connect governance and compliance goals to technical controls that work in practice. Attendees will also hear applied decision intelligence examples, including model orchestration in real-time power systems, and rigorous experimentation approaches for measuring true marketing effectiveness.
This track brings together visionary analytics leaders to share strategies for success. Leaders will discuss the best practices in guiding teams and organizations through the evolving analytics landscape. The focus will be on aligning analytics initiatives with business goals, fostering ethical practices, and cultivating an innovative analytics culture. Attendees will learn how to leverage new tools, grow their team, and oversee successful execution for long-term success in a data-rich world.
Successful analytics projects hinge on a combination of diverse technical and interpersonal skills aligned with organizational goals. When you factor in the significant uncertainty at the outset of these projects, it becomes crystal clear why following a structured process is crucial. In this track, speakers will discuss how the formulation of the problem statement and the selected approach can profoundly influence both the workflow and the ultimate outcomes.
Often referred to as “The Nobel Prize” of O.R. and advanced analytics, the Franz Edelman Award Competition attests to the contributions of operations research and analytics in both the for-profit and nonprofit sectors. Since its inception, cumulative benefits from Edelman finalist projects have topped $419 billion. Edelman finalist teams have improved organizational efficiency, increased profits, brought better products to consumers, helped foster peace negotiations, and saved lives. The purpose of the Franz Edelman Competition is to recognize and reward outstanding examples of operations research, management science, and advanced analytics in practice in the world.
This track explores how emerging technologies are reshaping analytics and O.R., with a focus on quantum computing and agentic, GenAI-enabled decision systems. Speakers will provide practical perspectives on what quantum computing can and cannot do today for optimization, how to evaluate its relevance, and how AI agents can orchestrate models, data, and human judgment into actionable decision workflows. Real-world examples ground these ideas in applied analytics practice.
Many organizations struggle to move AI beyond isolated pilots into systems that deliver sustained business value. This track focuses on the economics of scaling AI, from automating and accelerating agent development to executive-level frameworks for making AI investments that pay off. Sessions explore how shifting from manual experimentation to integrated, ROI-driven approaches fundamentally changes the cost, speed, and impact of AI deployment across the enterprise.
INFORMS grants several prestigious Institute-wide prizes and awards for meritorious achievement each year. This track will feature presentations for the Wagner Prize, INFORMS Prize, and UPS George D. Smith Prize winner. Innovative Applications in Analytics Award (IAAA) finalists will also present. Special sessions include presentations hosted by our Certified Analytics Professional (CAP®) Program and Women in OR/MS.
This track explores how analytics and AI can be applied to understand, support, and improve human systems at work. Sessions examine responsible use of personal data, combining machine learning with expert judgment in high‑stakes decision environments, and building trust between people and models. Topics also include team effectiveness in distributed workplaces, detecting workforce data anomalies, and evolving operating models for people analytics to ensure insights translate into meaningful organizational impact.
This track showcases how analytics, O.R., and AI can be applied to address critical societal challenges and create positive impact at scale. Sessions highlight decision‑support systems for public health, food safety, biodiversity, civic engagement, and social equity, along with community‑centered approaches to data collection and model development. Speakers emphasize trust, ethics, and human context, demonstrating how better decision‑making systems can improve lives, strengthen institutions, and support a more sustainable and inclusive world.
Supply chain leaders discuss a rapidly transforming ecosystem shaped by a proliferation of data applications for management, logistics, and resiliency. The AI revolution is pushing rapid application of affiliated emerging concepts and technologies across supply chain and logistics. Decision support tools and machine learning technologies are disrupting business and driving new policies, products, services, and channels to increase revenue. During this track, industry leaders will share how they are delivering practical AI solutions to maximize efficiency and minimize business disruption.
Technology Showcases from participating exhibitors are 50-minute, theater-style sessions that provide educational information and case studies on relevant analytics concepts using their products and services.
What You’ll Experience
Come Curious. Leave Transformed.
If you’ve ever felt like something was missing from the way we talk about data — this is your place.
Analytics+ is where you’ll find not just answers, but better questions.
700+
Participants
10+
Tracks
60+
Hours of Content
60+
Speakers
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