Insights

Generative AI is reshaping Consumer Goods, enabling efficiency, personalized experiences, and data-driven decisions. This article is a summary of insights from our benchmark report, based on interviews with over 25 executives from 15 leading companies, outlines strategies top performers use to achieve immediate and lasting impact.

Transforming your business can be daunting amidst skyrocketing customer expectations, intense competition, and rapidly evolving technologies. However, there's a silver lining. Embracing digital transformation isn’t just about keeping pace - it's about unlocking sustainable growth and gaining a lasting competitive edge. It's a strategic overhaul that reshapes everything from customer experiences to internal workflows, ultimately driving long-term value.

In the complex world of industrial operations, staying competitive means constantly finding ways to streamline processes, optimize resources, and uncover new opportunities. Generative AI offers a practical path forward, with applications that span the entire value chain. From customer interactions to product development, these ten use cases demonstrate how AI is already delivering real-world results.

This article introduces a framework designed to help organizations create a consistently excellent customer experience across all digital interactions. It combines practical guidance with lessons learned from industry best practices in achieving seamless customer journeys.

In the fast-paced industry of Energy & Utilities, efficiency and customer experience are paramount. Generative AI, with its ability to understand and generate text, images, and more, offers a transformative toolkit for tackling everyday challenges and exceeding customer expectations. Let's dive into ten real-world use cases where Generative AI can streamline operations, boost customer loyalty, and drive tangible results.

In today's fast-paced CPG landscape, Generative AI is rapidly shifting from a buzzword to a business imperative. However, unlocking its true potential requires identifying the most practical and impactful use cases. This article delves into ten such applications, designed to deliver tangible value and streamline operations in your CPG enterprise.

Financial services firms are constantly seeking ways to streamline processes, reduce costs, and enhance customer experiences. Generative AI, with its ability to understand and create content, offers a powerful solution to many of these challenges. This article presents ten transformative use cases that can deliver short-term value across your financial services operations.

In our previous articles we discussed how to identify the impact Generative AI will have on your business and its potential use cases across the different business functions. Today we’ll get pragmatic: How do you get started with Generative AI?

In our previous article, we discussed Generative AI, how it works, and its potential effects on consumer behavior. In this second issue, we hope to create some urgency and encourage you to take the first step in using Generative AI.

In this series, we will guide you through the hype, showing where you can leverage Generative AI in your business to create value. We aim to educate and inspire CEOs, CCOs, innovation directors, and other business leaders interested in Generative AI. In this first article, we will provide you with a history of Generative AI, an overview of how it works, and a preview of other topics we will touch on in the rest of the series.

Companies are increasingly using corporate venturing as a tool to expand on internally motivated innovation initiatives. Being a serious player in corporate venturing, however, requires governance rules and cultural dynamics that do not always fit into the existing corporate context.

90% of ventures fail sooner or later, and there’s no shame in that. Many things can go wrong when building and scaling a venture. Although a lot has been written on this topic by the brightest minds in the industry, many founders continue to fall for the same mistakes when building a venture.

The ‘Lean Startup’ book was published more than a decade ago. By now, many people know how to get through the first stages of exploring new corporate venture ideas. The “MVP” terminology has been used and abused and many corporates have added ventures to their innovation portfolio – and if they haven’t, they can rely on the support of the many venture builders and growth hackers out there to help them do so.

Have you ever felt that your business is ready to build a venture but lacks the systematic skills & mindset to successfully reach your goal? Then you might want to keep reading.

As a C-level executive or head of strategy, you are continuously on the look-out for disruptive trends and want to understand how to effectively tap into an environment that is continuously changing. You may already have specific ideas in mind on how to do this, perhaps through a corporate venture or some transformative innovation. But you only have so many hours in a day and may not be fully up to speed on the latest best-practices on corporate venturing. What are the conditions to build a corporate venture? And will corporate ventures work for you at all? In other words: when should you build a corporate venture, and when shouldn’t you?