Most manufacturing platforms fail before they scale. Here's why – and the practical steps to build digital business models that create real value for everyone.
AI rarely fails in companies because of technical issues. It fails because of people who are afraid, don’t know what they’re allowed to do, and are fundamentally suspicious of change. As a behavior architect, Wolfgang Gehrer explains the five barriers that truly stand in the way of AI projects
AI and digitalization are making companies more efficient than ever. But as technological scaling becomes the norm, a true competitive advantage emerges elsewhere: in perceived value in the market. Why the future belongs not only to scaling, but above all to value scaling.
Multi-agent systems (MAS) are on the rise and represent the next step in the evolution of single-agent LLMS. They are autonomous, efficient, and promise cost savings. By following a few basic rules, you can use them to create entire AI-driven project teams.
AI systems like ChatGPT, Gemini, and Perplexity are fundamentally changing how we discover and perceive brand messages. In addition to issues of machine readability, content formats that list and evaluate product features and functions are becoming increasingly relevant. For this reason, some are now arguing that the brand no longer matters. They claim that the new currency is the product’s hard facts—that is, its functions and features. The article examines GEO and the rational decisions made by AI in relation to brand perception. It answers the question of why emotional brand management is more important than ever.
AI adoption is accelerating, but 87% of leaders say AI vulnerabilities are the fastest-growing cybersecurity risk. Yet only 22% of organizations have written AI usage policies. Here are five strategic questions every CEO should ask before signing off on their next AI deployment
Companies are having to adapt ever more quickly to the increasing pace of change in the markets. At the end of a change process, there is never a ‘status quo’, because things are always moving forward. This means that structures and processes are constantly in flux. What has been learnt must constantly be unlearned. How is that even possible? This article explores the absurdity of constant change – and how change can succeed in dynamic times.
Tokenization is rapidly transforming capital markets by bringing real-world assets such as real estate onto blockchain infrastructure. As regulation, institutional adoption and market infrastructure converge, a regulated ecosystem for digital securities is emerging across Europe - with Germany playing a leading role through frameworks like the eWpG. This article explores why 2026 may mark the breakout phase for tokenized assets and what it means for investors, issuers and financial markets.
This white paper argues that Advisor Effectiveness Coaching (AEC) is a practical way to transition from product-push sales toward genuinely client-centric advice. Based on the GROW coaching model, it describes a structured programme spanning preparation, a senior-level kick-off, ongoing 1:1 and team coaching, and a “living phase” to sustain momentum. Team leaders serve as the key lever, acting as both coachee and coach to cascade change across the advisory organisation, while AI frees advisors for higher-value conversations. The paper concludes with a phased call to action – pilot, measure, and scale – with the goal of transforming advisors into trusted, augmented wealth partners.