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Artificial Intelligence

Scaling artificial intelligence can create a massive competitive advantage, but it’s not enough to invest in cutting-edge technologies and algorithms. You need to rewire decision making and operations to extract value—and invest in human capabilities to make it stick. At BCG, we refer to this as the 10, 20, 70 rule.

The pioneers of AI at scale—the companies that have scaled AI across the business and achieved meaningful value from their investments—typically dedicate 10% of their AI investment to algorithms, 20% to technologies, and 70% to embedding AI into business processes and new ways of working. In other words, these organizations invest twice as much in people and processes as they do in technologies.

When companies underinvest in people and processes, they quickly lose momentum with artificial intelligence. That’s because it’s deceptively easy to launch a series of successful AI pilots. Without the right approach and focus on change management strategy, it’s nearly impossible to scale AI across the business.


Are You Making the Most of Your Relationship with AI?

A recent BCG-MIT Sloan Management Review study suggests that in order to achieve significant financial benefits from their machines, companies will have to look beyond automation—and focus instead on learning and organizational transformation. A symbiotic relationship is necessary, where companies don't just teach machines what humans already know; they deploy whatever human-machine interaction the situation calls for, adapting as needed to changing context, circumstances, and scenarios.

How Our AI Consulting Experts Work with Clients

BCG’s artificial intelligence consultants and practitioners help clients quickly launch and scale AI-driven initiatives using a variety of techniques, including machine learning, large-scale optimization, and simulations. Our approach—built on lessons from hundreds of client engagements—is to think big, start small, and grow fast. With this framework, companies deliver results in weeks or months, rather than years.

Think Big

Start Small

Grow Fast

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It's Time to Plan for the Future of AI

How to make the most out of your relationship with AI.

Meet Our Artificial Intelligence Consultants

AI at the Core of Your Business

Our AI consultants, working in hybrid, cross-functional teams, ensure that companies have the full range of expertise to drive a companywide digital transformation. Here are just some of the capabilities we bring to AI-at-scale engagements:

  • For AI strategy, we leverage deep domain experts as well as digital and analytics strategists.
  • To drive use cases, we engage a custom team of AI experts, including artificial intelligence consultants, product owners, data scientists, data engineers, machine learning engineers, and AI architects.
  • To deliver data and analytics, we deploy product owners, data engineers, and platform and cloud architects.
  • To ensure fast execution, we activate agile coaches and scrum masters, project managers, business analysts, and subject matter experts.
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BCG Gamma - Advanced Analytics & Data Science Consulting

Growing business through applied data science and advanced technology.

Explore Our AI Work with Clients

Using AI to Detect Imminent Health Risks

Artificial intelligence can help doctors identify patients at risk at an early stage – through a tool developed prior to COVID-19 by One O One, Professor Jean-Daniel Chiche, and BCG.

Reducing Operational Complexity with AI

Using AI-driven digital twin, a mining conglomerate saved $200 million and achieved a 10x reduction in demurrage costs.

AI Tools Bring Transparency to Company Spending

BCG's patented Spend AI tool uses natural language processing, neural networks, and machine learning to help companies free up funds, rev up profits, and kick-start growth.

Leveraging AI to Create Personalized, Automated Offers

BCG's real-time personalization engine for a global food and beverage chain increased revenue per customer by a factor of three, resulting in more than $150 million in annual impact.

Learn More About AI at Scale

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The Big Leap Toward AI at Scale

Companies are encountering the “AI paradox”: it is deceptively easy to launch projects with AI but fiendishly hard to reach scale.

 
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