To create competitive advantage with artificial intelligence, you need to rewire decision making and operations to extract value—and invest in human capabilities to make it stick. Explore BCG’s latest thought leadership on artificial intelligence to learn how to scale AI across your organization.
Organizations find that using a combination of internal and third-party teams to develop and deploy GenAI solutions yields greater satisfaction, productivity, and cost savings. Four levers are key to such collaboration.
To harness the power of generative AI and keep up with the wave of constant innovation, CTOs need to rethink their company’s digital and organizational infrastructure.
A new experiment shows that GenAI isn’t just a tool for increasing productivity—it can expand the range of tasks workers can perform.
Companies have moved quickly to implement GenAI, but many may be celebrating too early, before achieving measurable benefits. It’s time for a focused approach.
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Beyond technical implementation, success hinges on design choices that promote adoption, thoughtful process reengineering, and an unwavering focus on savings targets.
Here’s how to cut through the noise to create a marketer-AI flywheel—a self-reinforcing loop that will revolutionize your marketing and supercharge ROI.
With AI and GenAI applications poised to revolutionize the oil and gas industry, companies must develop the capabilities to quickly and flexibly adopt these new technologies.
GenAI overcomes the complexities of previous AI implementations through user-friendly interfaces, agent-based automation, and cross-functional orchestration.
Tackling the macro ambition and micro obstacles of GenAI, IBM’s Roger Premo and BCG’s Vlad Lukic share how industry leaders are redefining workflows, advancing governance, and leveraging partnerships to unlock transformational value.
To capitalize on this once-in-a-generation technology, organizations should focus on getting value at the right scale, say Red Hat’s Ashesh Badani and BCG’s Vikas Taneja.
To earn trust, GenAI systems must deliver value while being safe, secure, and compliant with regulations like the EU AI Act, says BCG’s Anne Kleppe.
By combining robotics and AI to master 3D perception, workflow planning, and object manipulation, embodied AI could transform automation and manufacturing, says BCG’s Tilman Buchner.
To support rapid AI adoption, risk and compliance functions must lead efforts to ensure responsible use, transform processes, and enhance decision making.
Even with comprehensive testing and evaluation, the risk of system failure with GenAI will never be zero. Organizations must respond swiftly when failures inevitably occur.
The most effective way for a company to help its workforce adopt AI skills a five-step approach that includes assessing what’s needed and preparing people for change.
The opportunities presented by generative AI are significant, but leaders need to focus equally on the risks. What is a responsible C-suite member supposed to do?
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News organizations and other creators are blocking access to the diverse, high-quality content that feeds GenAI models. Here’s a way for the two sides to work together.
With the recent wave of innovation in AI and generative AI technologies, the stakes are getting high for companies that cannot transition to the cloud and leverage these new cloud-based tools.
Top companies have adopted and scaled four times more data and AI use cases across their businesses than laggards, and the average financial impact is five times greater.
GenAI investment is expected to grow 30% in 2024, with ROI over the next three years likely three-times higher than companies making little such investment.
Tools like generative AI could work wonders for individuals, businesses, and society. But that bright future depends on our ability to develop AI responsibly now.
