The Analytics Leadership Track was formed to bring together leaders of analytics efforts and analytics groups to discuss: i) how to build a world class analytics team for your company; ii) how to define, solve, deliver, and communicate an analytics solution; and iii) what an analytics Leader must do to succeed within the organization and help the organization/company succeed.
Treating analytics as a process, not just a collection of tools, leads to better outcomes, which is reflected in the 7 Domains of the Certified Analytics Professional (CAP) Job Task Analysis. The blend of hard technical skills and soft interpersonal skills is often critical to achieve sustainable impact for the organization.
Analytics are driving advancements across all government levels that affect nearly every part of our lives. From improving disaster recovery operations to enhancing access to health care, analytics drive innovation, and enhance service delivery across the public sector. From our most pressing social issues, criminal justice, and immigration reform, to ensuring our national security, public sector analytics save lives, reduce costs, and help leaders make better decisions. Just as business leaders have used analytics to make smart business decisions, policymakers in government are increasingly turning to these same tools to analyze important policy issues. See how the latest analytics applications are addressing public policy issues in the Analytics in the Public Sector track.
The INFORMS Section on Data Mining is one of the fastest growing subdivisions in recent years. This track provides a survey of applications in data mining and knowledge discovery.
Decision use cases that reflect discrete choices, uncertain input parameters or potentially uncertain causal relationships often rely on Decision Analysis methods to help provide practical insight. Talks in this track showcase the decisions framed, analytics applied and results obtained.
Decision analysis helps managers frame decisions, create superior alternatives, enumerate and model uncertainties, and confront complexity while building commitment to action. Founded on decision theory and developed for real-world problems, decision analysis integrates theory and practice to quantify and mitigate risks while maximizing value. This track presents thought leaders and leading-edge practices. Are you focusing on the right decision? Do you understand its context? Find out at the Decision & Risk Analysis Track.
The profession of Operations Research and Advanced Analytics is constantly developing, growing and expanding. This track is intended to bring together practitioners, researchers, scientists and leaders who are working at the edges of the profession to share novel, emerging technologies and tools, explain open problems, formalize new problem areas that are just coming to the fore, and define challenging questions for further development.
The purpose of the Franz Edelman competition is to bring forward, recognize, and reward outstanding examples of operations research, management science, and advanced analytics in practice in the world. Finalists will compete for the top prize in this “Super Bowl” of O.R., showcasing analytics projects that had major impacts on their client organizations. To learn more about this year’s finalists who will be presenting on Monday, April 12 during the competition, click here.
The healthcare sector is rich with challenging problems that analytics can help solve. The COVID -19 pandemic has certainly highlighted several use cases with major decision impact. Talks in this track showcase the decisions framed, analytics applied and results obtained.
INFORMS grants several prestigious institute-wide prizes and awards for meritorious achievement each year. This track will feature presentations on the Wagner Prize, INFORMS Prize, and the UPS George D. Smith Prize winner. Innovative Applications in Analytics Award (IAAA) finalists will also present. Special sessions may include presentations about INFORMS Education & Industry Outreach and the CAP program.
2020 Wagner Prize Reprise
UPS George D. Smith Prize Reprise
INFORMS Prize
Women in OR/MS Session
Professional Development
INFORMS ACE Program
CAP Panel Discussion
CAP Panel Discussion
CAP Panel Discussion
Rapid change in Life Sciences challenges all facets of the entire ecosystem. Pandemics, pollution, technological innovation, healthcare access and delivery, regulatory and public health, to name a few, all have a consistent theme to execute actionable analytics. During this track, Life Sciences industry leaders will highlight analytic innovations that have, are or will prescribe the future narrative the ecosystem requires to adapt to continued change.
Life Science Panel: Future of Artificial Intelligence in the Life Science Industry
Machine Learning methods continue to yield practical business benefit, in use cases involving improved predictions of system or customer behavior, or combined with optimization methods to prescribe high-impact actions. Talks in this track showcase the decisions framed, analytics applied and results obtained.
This track features leaders from companies and academia to share the application of analytics in marketing functions such as promotions, pricing, advertising, market forecasting, and best practices of analytics in overall marketing, in addition to addressing new technologies. Industry and academia experts will demonstrate how to use advanced analytics and operations research to learn and share valuable techniques that will grow your marketing analytics capability.
Advances in technology and available data have resulted in an increased growth in the use of analytics to inform decision making in environmentally sustainable recreation and tourism. This track will focus on highlighting innovative applications of analytics in the identification, understanding, and implementation of environmentally friendly projects in the hospitality, recreation, and tourism industry, as well as bringing together industry leaders to share best practices on how to leverage advanced analytic techniques for the planning, management and marketing of eco-tourism and environmentally sustainable options.
The Revenue Management & Pricing track features analytics leaders from top companies in traditional and non-traditional industries such as travel, hospitality, transportation, entertainment, high tech, media and retail. This track promotes and disseminates the latest developments in pricing and revenue management with opportunities to learn from the industry experts. Discover how to use advanced analytics and operations research to better understand and target your customers, improve your pricing practices and demand forecasts, and drive revenue and market share growth.
Decision use cases that reflect uncertain input parameters or potentially uncertain causal relationships often rely on Risk Analysis methods to help provide practical insight. Talks in this track showcase the decisions framed, analytics applied and results obtained.
Decision use cases that involve uncertain input parameters, complex decision logic or visual animation of the process often utilize Simulation methods to convey meaningful results to decision makers. Talks in this track showcase the decisions framed, analytics applied and results obtained.
AI Revolution in the Supply Chain Artificial Intelligence is pushing quick and deep application of affiliated emerging concepts and technologies across Supply Chains and Logistics. These AI and Machine Learning technologies are disrupting business and driving new policies, products, services, and channels for increased revenue. During this track, industry leaders will share how they are delivering practical solutions in the AI Revolution of their Supply Chain to maximize efficiency and minimize business disruption.
Emerging concepts and innovative technologies are disrupting business and driving new policies, products, services, and channels for increased revenue. Supply chain leaders are evolving their businesses to keep pace. In this track, speakers will share practical applications of new concepts and technologies being implemented within their supply chain analytics programs to maximize their efficiencies while minimizing business disruptions.
