Suggestions
Eugene Roytburg Ph.D.
CEO, Chief Decider. Serial Entrepreneur and Innovator, Bringing Human and Machine together in Cognitive Decision Intelligence+
Professional Background
Eugene Roytburg is a distinguished thought leader and innovator in the intersection of science, foresight analytics, artificial intelligence (AI), and business strategy. His extensive career spans over 25 years, during which he has played a pivotal role in transforming how business decision-making is approached. Roytburg's foundational belief centers on the idea that decisions can be treated as data points that provide valuable insights and learning opportunities. By analyzing the decision-making process itself, he helps organizations enhance their capabilities to optimize performance and achieve higher returns on investment (ROI).
Roytburg's professional journey includes significant leadership roles at various prestigious organizations. He returned to 4i, Inc. in 2011, which is known for its leadership in growth and foresight analytics. At 4i, he has focused on helping clients identify and develop future growth opportunities while driving strategic foresight that informs better decision-making processes.
One of his notable accomplishments includes a successful partnership with Fractal Analytics. Under his guidance, 4i was acquired in May 2017, further enhancing their offering in the analytics and AI landscape. This collaboration has been instrumental in creating a powerful analytics and AI company capable of supporting comprehensive decision-making across enterprises.
Before his tenure at 4i, Roytburg was a Vice President at A.T. Kearney, where he advised clients on analytics-enabled consulting methods aimed at resolving challenges in areas such as marketing, sales, and innovation. His visionary approach in this role helped to streamline operations and introduced analytical methodologies that have lasting impacts on client success.
Additionally, Roytburg founded and led Nielsen Business Consulting Services until May 2010. His leadership in this capacity allowed for the expansion of Nielsen into new business areas, successfully merging data analysis with consulting practices to elevate the value provided to clients.
Roytburg's journey began at SPSS, where he led their business and analytical consulting organization, driving the transformation of SPSS from a technology developer into a respected business solutions provider.
Education and Achievements
Eugene Roytburg's academic achievements are as remarkable as his professional ones. He holds a Ph.D. in Systems Engineering with a minor in Mathematics from the University of Minnesota, demonstrating a strong foundation in analytical skills. Additionally, he pursued another Ph.D. in Applied Mathematics at Moldova University, equipping him with robust quantitative expertise. His educational journey also includes a Master's degree in Applied Mathematics from Universitatea de Stat din Moldova, establishing his long-standing relationship with complex problem-solving through mathematical principles.
Further honing his prowess in business strategy, he attended the esteemed Kellogg Graduate School of Management at Northwestern University, where he completed a Master of Business Administration (MBA) focused on strategy, technology, and innovation. This blend of engineering and business education uniquely positions him at the forefront of decision intelligence and analytics in a way that fosters innovation and effective strategy.
Throughout his career, Roytburg has contributed significantly to the fields of analytics and consulting, developing recognized management practices such as 'Business is Science First,' 'Foresight Analytics,' 'Analytical Business Solutions,' and many more. His portfolio features 23 publications and seven patents, underscoring his commitment to innovation and thought leadership in the industry.
Achievements
Eugene Roytburg's impressive achievements are a testament to his visionary leadership and expertise. He has made notable contributions to several organizations, including:
- CEO and Founder of 4i Consulting Group: Before his strategic roles, Roytburg established 4i Consulting Group, which focused on innovative and optimized analytical business solutions.
- Director at CNH: He brought his analytical acumen to CNH, where he directed efforts toward enhancing marketing strategies and overall performance.
- Co-Founder and Managing Partner at Fractal Analytics: His strategic foresight led to the integration of advanced analytics and decision-making capabilities, helping clients worldwide leverage data for business innovation.
- Vice President at A.T. Kearney: In this capacity, he successfully advised on strategies that empower clients through analytics, leading to significant organizational transformations.
In addition to these roles, Roytburg served in a variety of other capacities as a managing director, executive director, and research fellow, showcasing his adaptability and profound impact across diverse sectors within the consulting and analytics fields.
Roytburg’s influence extends
Highlights
“Yea yea and you dance very well but can you use genAI to improve…your pirouettes?” 😊 Am sure you heard something like this in your work across all parts of business including in analytics in past 18 months. “can we challenge traditional analytics approach with genAI?” “can we make use of genAI to get better results?” “what we did in the past does not work, bring in genAI!” And we are again falling into the same trap…HAMMER BEFORE NAIL situation. We have been here before with so many new and exciting technologies - getting mesmerized by their power at first, we think it is a miracle and can solve everything and then it does not work, we get disappointed, discouraged, forget about it until new shiny toy comes along and so it goes…Actually, genAI seems to have a stronger spell on all of us - boards and executives demand genAI plans, strategy, use cases, start your sentence with “genAI driven whatever” and you are golden! Why we are not learning from so many years of making the same mistake? genAI is incredible and truly breakthrough tool with lots of applications but it is not a panacea and can’t be used everywhere! By assuming so we are actually diminishing genAI’s true power creating unreasonable expectations for sure doomed to fail and we will fail with it or…will get promoted 😊 We need to stick with the same logical approach that worked for decades…NAIL BEFORE HAMMER What PROBLEM are we solving? How does this problem behave, random/deterministic, linear/non linear, stationary/non stationary? What is the RIGHT modeling approach/methodology for this specific problem behavior? Is genAI appropriate for this type of problem or problem behavior? Finally, and most importantly, WHY we are improving existing models, WHAT analytics KPI (accuracy, usability, speed, quality) we are trying to improve and is it worth spending time on this? How business performance/decisions we make will be improved with this new methodology? We need to ask those questions otherwise we will keep playing with another “shiny toy”, spending billions and not creating much value. It all sounds rational, right? The sad reality though is…nothing will change, the genAI snowball can’t be stopped, everyone likes this new “generative” toy, me too 😊, ok then, let’s play with it but perhaps a bit more thoughtfully so we do not break it!
What do you think? Am I wrong?
