BCG's Sylvain Duranton discusses how the firm can help companies see real results from advanced data analytics by providing a combination of technical excellence and sector experience that will enable client teams on the ground.

Sylvain Duranton is a core member of the Marketing, Sales & Pricing; Consumer; and Technology, Media & Communications practices at The Boston Consulting Group.

Since joining BCG in 1993, Sylvain has advised clients in a number of sectors, including railways, airlines, construction and infrastructure, telecom, media, and energy. He has deep knowledge and expertise in pricing, marketing and sales, and travel and tourism.

Sylvain’s focus is on high-impact transformation programs, vision and strategy work, and improvement programs in pricing, marketing, and sales. He pushes for the full immersion of BCG teams into clients’ operational teams to deliver impact.

He is also a member of BCG's GAMMA team, which creates competitive advantages for organizations by unleashing the power of signals hidden deep within large and complex data sets. BCG's GAMMA team conceptualizes, builds, and deploys advanced analytic solutions that can transform the trajectories of organizations in 12 to 24 months.

Before joining BCG, Sylvain was a consultant with Orgaconseil.

AREAS OF EXPERTISE

  • Member of BCG's GAMMA team, which conceptualizes, builds, and deploys advanced analytic solutions
  • Sales force effectiveness
  • Digital marketing
  • Consumer insight
  • Digital disruption
  • Big data
  • Transformation
  • Change management
  • Organization
  • Transport infrastructure
  • Travel and tourism
  • Large-infrastructure management

EDUCATION

  • MBA, INSEAD
  • BSc, engineering, École Polytechnique and MINES Paris Tech

Publications and Videos

Reduce Carbon and Costs with the Power of AI

Reduce Carbon and Costs with the Power of AI

Artificial intelligence has the potential to reduce companies’ greenhouse gas emissions and cut costs by monitoring their carbon footprint and then reducing it through increased efficiency.
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Data Alchemy Can Give Decision Making the Golden Touch

Some companies will shape the future after COVID-19. They’ll use machine learning to turn massive amounts of raw information into “golden” decisions.
The New Consumer Conversation in an Era of Uncertainty

The New Consumer Conversation in an Era of Uncertainty

Consumer preferences are changing rapidly, outpacing companies’ traditional abilities to track and respond to trends. Data and AI can provide new eyes and ears.
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Deploying AI to Maximize Revenue

Companies must use AI not only to cut costs but also to generate more revenue by improving forecasting and making decisions in real time.
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AI Is a Powerful Weapon in the Fight Against IT Problems

With artificial intelligence, companies can more proactively—and more efficiently—manage IT incidents, saving time, reducing costs, and sparing users a lot of frustration.
Six Steps to Bridge the Responsible AI Gap

Six Steps to Bridge the Responsible AI Gap

Principles abound for socially responsible artificial intelligence. Here’s how to put them into action.
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A Better Approach to AI in Government Services

Screening for the high-risk cases is the default in AI risk assessment. But finding the low-risk cases is a much better place to start.

How Humans and AI Can Work Together to Create Better Businesses

Are companies using AI to make critical decisions inadvertently hindering efficiency? Sylvain Duranton advocates for implementing AI systems alongside human judgement.

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Europe Can Catch Up in AI, But Must Act—Today

Its leaders must quickly implement policy reforms that will enable EU companies to deploy AI at scale.
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How Digital Giants and Europe Can Cooperate to Win in AI

For the large firms, working closely with the EU means avoiding a stalemate and gaining long-term competitive advantage.
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The Rise of the AI-Powered Company in the Postcrisis World

Shifts in global supply chains, changing consumption patterns, and the increasing prevalence of remote ways of working—trends that were underway long before the COVID-19 crisis—will accelerate. AI can help companies thrive in this new environment.
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What’s Keeping Women Out of Data Science?

An image problem in this fast-growing field has turned into a potentially dangerous diversity problem. Companies must do more to dispel the myths and combat the negative perceptions.
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