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Daniel Sack is a member of BCG X, Boston Consulting Group's tech build and design division. He specializes in building digital products, especially those based on machine learning/AI. Dan is BCG’s Global Data Science Chapter lead, and he leads BCG X in the Nordics. He is a global lead for BCG's Center for Responsible Generative AI, and also coleads BCG X’s Plan AI efforts integrating advanced analytics into end-to-end planning processes.

Dan helped build BCG X’s Delivery Excellence (DevEx) program, a system of processes and governance that ensures each team maintains the highest standards for software code and technical solutions, including Responsible AI.

AREAS OF EXPERTISE

EDUCATION

  • MBA, Stanford Graduate School of Business
  • BE, mechanical engineering, Dartmouth College
  • BA, summa cum laude, mathematics and physics, Colby College

HONORS AND AWARDS

  • Awarded Marston Morse Prize as highest achieving graduate in mathematics, Colby College

Publications and Videos

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GenAI Doesn’t Just Increase Productivity. It Expands Capabilities.

A new experiment shows that GenAI isn’t just a tool for increasing productivity—it can expand the range of tasks workers can perform.
Denmark’s GenAI Paradox: From Lagging to Leading | HERO

Denmark’s GenAI Paradox: From Lagging to Leading

A roadmap for business leaders on beginning their GenAI journey, derived from a survey of 572 Danish executives - making it the largest study in the Nordics on GenAI.
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GPT Was Just the Beginning. Here Come Autonomous Agents.

Today’s large language models are the just start of the GenAI revolution—companies need to prepare for what’s coming next: autonomous agents that work independently to achieve an assigned goal.
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AI Can Transform Integrated Business Planning

Organizations must use all their data, customize and link their underlying systems, and manage the transition patiently to get the best from the new breed of IBP platforms.
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Demand Forecasting Evaluation: A Single Metric for Optimal Planning

Whether used for planning sales of mature products in well-known channels or of entirely new products in a pioneering market, demand forecasting adds significant depth to the decision-making process. However, as with all things that concern future events, forecasting brings uncertainty to the planning process.
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E2E Planning: What comes after the Bottleneck Economy?

When supply once again exceeds demand, as it surely will, statistical forecasts trained on constrained-demand data will no longer work. How then will companies accurately forecast the future?
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How Fashion Brands and Retailers Can Build Better Digital Capabilities

Companies that bring technology development in-house will be more adaptive and resilient in the postcrisis period.