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Artificial Intelligence and AI at Scale

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 AI at scale—also known at AI @ scale

The pioneers of AI @ 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 agile 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 @ scale pilots. Without the right approach and focus on change management strategy, it’s nearly impossible to achieve AI at scale 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 AI consulting team and practitioners help clients quickly launch AI @ scale initiatives using a variety of techniques, including machine learning, large-scale optimization, and simulations. Our AI @ scale 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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Plan for the Future of AI

Leaders need to understand the implications of AI. BCG and WIRED's content database can help.

Explore Our AI Work with Clients

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.

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BCG GAMMA

Growing business through applied data science and advanced technology.

Learn More About AI at Scale

At H&M, AI Stands for Amplified Intelligence

Arti Zeighami, former chief data and analytics officer for H&M Group and current director and partner for BCG GAMMA, explains how H&M went from a digital laggard to an AI industry leader—in just three years.

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.

Meet Our AI Consulting Team

AI at the Core of Your Business

Our AI consulting team, 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 @ scale.

  • 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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