Digital Transformation Leadership

There are six common roadblocks to proving business value with generative AI — and we’ll show you how to steer clear of each one.

Businesses that prioritize generative AI use cases can maximize their value capture, speed, and efficiency.

Value Stream Management (VSM) is a powerful methodology, representing a robust strategy to actualize digital operating models.

Established companies will have to rethink their business strategies and find new ways to add value to their offerings.

Organizations with innovation cultures realize more value from strategic technology investments than their peers do, our latest digital survey finds.

Bain’s annual report examines the technology sector’s period of renewal and reinvention, propelled by strong global demand and investments in resilient value chains and generative AI.

How should CFOs approach generative AI—enterprise-wide and in the finance function—and what can they do right now to rapidly climb the learning curve?

AI and ML technologies are driving unprecedented advances in productivity in every industry and the data-driven decisions these technologies enable unlock major growth opportunities.

The key to unlocking new digital value is aligning a reorganization around four levers: customer, capability, commercialization, and component.

Companies can protect their value in the cloud by having a better understanding of what really matters.

With digital strategy taking center stage in the fight against today’s economic headwinds, there’s never been a better time to bring your technology initiatives to life through a compelling value story. That requires unwavering focus on the outcomes and goals your stakeholders really care about.

By adopting this perspective, businesses will gain a clearer view of the distinction between digitizing to optimize value-in-exchange and digitally transforming to maximize value-in-use. Such insights will help strengthen your digital strategy and accelerate impact from your digital technology adoption.

What digital transformation actions, and in what combinations, are linked to positive and negative effects on enterprise value? For starters, digital change readiness is a game changer.

Find out what a chief artificial intelligence officer does and whether you need to add one to the C-suite to drive AI and generative AI value.

With the impressive digital era unfolding over the past three decades, how can leaders prepare their organizations for the next iteration of digital transformation?

McKinsey research shows that companies with strong digital and AI capabilities have figured out how to generate compounding value.

The technology is a marvel, but leaders are ready to see results. Here are three value plays organizations should make now.

As disruption in all its forms increasingly becomes the norm, IT leaders must rethink their approach to digital initiatives in favor of strategies that build adaptability into the way their organizations operate on a daily basis.

New cloud ROI analysis highlights what it takes to capture the value of cloud computing, and what role generative AI can play.

Companies are looking for safe and cost effective ways to leverage the capabilities of generative AI and large language models. In this recap from our recent webinar, we discuss the adoption strategies that deliver value.

If cloud decision-makers could better understand which cloud services drive the greatest value against specific priorities, could they make better value-based decisions when developing their cloud strategies?

You’re Investing More in Technology, But Is It Making Any Difference to Growth?

Big tech companies have long deployed their innovations internally first. Others should follow suit to seize on GenAI’s potential.

McKinsey analysis of data from the banking sector provides definitive proof on how digital and AI transformations create bottom-line value.

In today’s business environment, companies seeking to transform all or part of their businesses need to create value quickly.