Insights on Artificial Intelligence

CIOs and CTOs can take nine actions to reimagine business and technology with generative AI.

Boards are responsible for how generative AI is used at the companies they oversee. Asking company leaders the right questions will help unlock the technology’s value while managing its risk.

Generative AI is poised to unleash the next wave of productivity. We take a first look at where business value could accrue and the potential impacts on the workforce.

Creating reusable data products and patterns for piecing together data technologies enables companies to derive value from data today and tomorrow.

Embedding AI across an enterprise to tap its full business value requires shifting from bespoke builds to an industrialized AI factory. MLOps can help, but the CEO must facilitate it.

Companies capturing lasting value from artificial intelligence think differently, from the C-suite to the front line. Here’s how to make the shift from opportunistic efforts to a truly AI-enabled organization.

Every company must establish its own best practices for managing its data. Here are five pitfalls to avoid based on our conversations with experts and early adopters.

A data mesh can help large organizations manage data successfully—if it’s understood that implementing one involves more than technology considerations.

Amid rising pressure on tech companies to boost performance, better data management can pave the way to sustainable growth.

Rapidly accelerating technology advances, the recognized value of data, and increasing data literacy are changing what it means to be “data driven.”

The Mozilla Foundation’s president explains that creating trustworthy AI products not only is ethically urgent but can also pay off in company profit and customer value.

Around the world, new regulations are promoting data localization. To comply, companies must be agile in their investments, but those that get it right could increase their revenues and market share.

Organizations this year plan to enhance their MRM framework capabilities—including risk culture, standards, and procedures—and to upgrade their validation resources with MRM 2.0 firmly on the agenda.

Proposed EU rules are just one more step toward global AI regulation. Here’s how smart organizations are preparing for compliance—and managing AI risk.

Developing artificial intelligence and analytics applications typically involves different processes, technology, and talent than those for traditional software solutions. Executives who possess a solid understanding of the basics can ensure they’re making the right investments in their tech stacks and teams to build reliable solutions at scale. We’ve created an interactive guide to help.

Updated with the latest artificial-intelligence developments, our interactive helps business executives learn the ABCs of AI.

It’s time to break out of pilot purgatory and more effectively apply artificial intelligence and advanced analytics throughout your organization. Our interactive playbook can help.

Renewable-energy and sustainability leaders from RES, Octopus Energy, and IBM discuss how digital and AI can help drive efficiency, innovation, and collaboration to reach net zero.

Disparate sources of unstructured data, which abound in healthcare, are now assets to power generative AI. Here’s how private payers and healthcare systems can use the technology to deliver care.

Insurers in Europe, the Middle East, and Africa invest significantly in advanced analytics but have unlocked a fraction of the potential value. How do top performers tip the balance in their favor?

Take a seat at Mission Control as NASA’s Vandi Verma details the AI and software powering the Mars rovers and how her field of robotic operations has advanced over the past 20 years.