Joseph Byrum is an award-winning data analytics and operations research professional. Joseph Byrum won the Franz Edelman prize for distinguished Operations Research expertise.
Finance executives’ quantum computing guide: Current capabilities, investment requirements, ROI timelines. Why $100M+ leaders are betting on quantum now.
Quantum Computing in Finance 2025: Industry Analysis & Investment Guide Read More »
The power behind quantum computing enables today’s most difficult algorithms to be solved in a matter of seconds, enabling real-time processing.
Quantum Computing Will Drive Parallel Innovation Read More »
Published: | Updated: Published at Drexel LeBow University 2019 and 2021 Drexel LeBow Analytics 50 | 2019 Honoree | Asset
Joseph Byrum Two-Time Drexel LeBow Analytics 50 Recipient Read More »
Now’s the time to begin experimenting with optimization possibilities of Quantum Computing.
Quantum Optimization: The Future of Operations Research Read More »
The OODA (Observe, Orient, Decide, Act) loop framework, used by Air Force pilots, is readily adaptable for peacetime use to help CEOs become the fast-evolvers they need to be to survive—or better yet, thrive—in an uncertain business environment.
How CEOs Should Think About Rebuilding America Read More »
The machines take care of the drudgery, leaving human intelligence to do what it does best – apply judgment to a clearly established set of relevant facts.
Joseph Byrum is Driving Financial Innovation Read More »
Over the course of his career, Byrum has worked with thousands of crowdsourcing projects, and he strongly believes that they generally yield more innovative solutions than working with internal domain experts.
Analytics and AI-driven enterprises thrive in the Age of With Read More »
Students are outperforming domain experts on AI projects. Discover the cognitive diversity advantage every company is ignoring.
Optimizing Business With Open Innovation Read More »
To measure business performance, build a model that accounts for the complexity of financial markets and individual differences.
Overcoming Statistical Limitations with Idiosyncratic AI Read More »
O.R. in a box: It could happen with AI using known algorithms, applying them to new situations and constantly adjusting and recalculating to maintain optimal efficiency.
Preparing for an AI Future Read More »
