Digital Transformation Leadership

AI represents an entirely new way of thinking about the way software is built and consumed.

Commonly, many AI projects fail for the same reason digital transformation projects fail.

Should your company be betting on AI as a growth strategy now? How do you distinguish genuine opportunities from speculative fads and make an informed decision on whether AI is your next big bet? In this article, the authors cover five steps to help your company answer this question. After thoughtful analysis, your decision ultimately boils down to this: Does the current state of AI align with your business strategy? If it does, the investment in this tech wave could propel your business to new heights.

Here are three predictions about how AI will impact business changes over the next three to five years, each with its own unique, significant impact.

CTOs play a strategic role in helping organizations protect corporate data as they implement generative AI tools in the workplace.

A lot of different skills are needed to create a system that can do the most for your business. Here’s a description of the important roles.

Despite the current level of hype and mainstream adoption, gen AI still needs to experience the trough of disillusionment before embarking on a path to peak productivity.

Don’t buy your next ERP, CRM, HRMS, etc. solution quite so fast. You might want to seriously investigate what each vendor is doing (or not) vis-à-vis its new AI-fueled applications/solutions.

Generative AI has the potential to reinvent work, freeing us to unleash our creativity on the problems that really matter. But in order for this to happen, companies need to build people’s trust in the technology.

Companies across industries rushed to adopt ChatGPT last year, seeing its potential to streamline tasks formerly handled by people and vendors at much higher cost. As generative AI enters its next phase in 2024, what can leaders expect? Harvard Business School faculty members highlight four trends to watch.

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

Keeping your eye on where value comes from is still the name of the game.

Generative AI can bring a host of ideas—and a critical “outside the box” perspective—to teams working through the innovation cycle.

The integration of AI into every aspect of business operations isn't a distant future. It's happening now.

In 2024, enterprise leaders are doubling down on their genAI investments. 16 developments for founders to keep in mind to capture this new opportunity.

The problem with an AI-first strategy lies not within the “AI” but with the notion that it should come “first” aspect. An AI-first approach can be myopic, potentially leading us to overlook the true purpose of technology: to serve and enhance human endeavors. Instead, the author recommends following 3Ps during an AI transformation: problem-centric, people-first, and principle-driven.

Companies already focused on adopting and effectively using digital tools and technologies are now figuring out how generative artificial intelligence fits in.

AI could very well be the turbo boost your business needs.

When deciding whether to deploy a machine learning model, focus on business metrics, not technical ones.

Adopting AI as a transformative vehicle requires a clear strategic blueprint to ensure success.

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

Companies expect generative AI implementations to trim costs or improve user experiences. But not every tool can deliver on its promises.

Is your organization ready for AI implementation? Use this diagnostic tool by Wharton’s Scott Snyder to assess how you can stay ahead.

Demand for high-quality data to train Generative AI algorithms presents new opportunities for organizations to monetize their data and protecting their privacy.