Digital Transformation Leadership

Artificial intelligence will impact most business activity in the economy. Some functions will be less impacted but even the lightly-affected companies will change.

There’s a lot of talk but not many actual implementations of generative AI in the cloud. Better to have all the pieces in place before launching expensive projects.

KubeCon + CloudNativeCon just concluded with another land grab for generative AI. What does this mean for the enterprise?

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.

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.

What to know to unlock ROI with generative AI in your business — and the six things that may be holding your company back.

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

Decision intelligence can assist leaders in establishing meaningful, actionable business insights and recommendations.

Opportunities and risks for companies incorporating generative AI as part of their digital transformation strategies.

Cloud advances will enable AI breakthroughs, shape cybersecurity and compliance strategies, and provide opportunities for the financially savvy and nimble.

If even the mighty Google can be potentially overthrown by AI disruption, you should be concerned about what this may mean for your company.

Transformative AI initiatives can change how businesses run, shape, and grow uncovering new possibilities, and making AI different from other technologies enabling digital transformation.

AI is being used in many ways today to make our lives better. It's assisting us with complex tasks that we can't do by ourselves, creating a symbiosis between humans and machines that allows both to achieve more than they can alone.

Today there’s a lot of hype around generative AI — and a lot of risk. In the face of uncertainty and inflated expectations, Gartner research has identified five forces that will keep the pressure on executives to keep learning, testing, and investing in the technology:

There are three drivers of AI scale: community, commonality, and coordination. Companies should enable their explorers, build platforms instead of buying products, and prioritize for impact.

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?

In order to remain competitive, executives must tap into the power of AI to spark innovation and encourage positive growth and change amongst their employees.

Understanding how generative AI can transform the way your organization operates is crucial as it becomes ubiquitous across industries

Heading into 2024, CIOs must reshape their digital agenda with the promise and perils of generative AI in mind. Here are five ways to address the disruptive potential of LLMs.

AI/ML provides a major boost for data quality, cybersecurity, automation and many other transformation targets.

Six signature moves led by the C-suite can build organizations that will outperform in the age of digital and AI.

The first step to success when incorporating new digital tools is to define the problem and lay out where you are in the process. Using AI is no different.

The sheer volume of unprecedented events in the last few years,  has created an incredibly challenging environment for businesses everywhere. CEOs are suddenly finding themselves under immense pressure to increase business efficiency while simultaneously cutting operational costs - no easy feat.

Companies seeking to transform themselves with AI must establish a strategic plan for using analytics and insights derived from data.

A large amount of funding has been allotted to solutions supporting digitalization initiatives at the enterprise scale, with AI becoming the gold standard for contributing to that effort.