AI & Machine Learning

Latest

• Strategy Is the Only Moat Left - Why the AI Tool Race Is Already Over

  AI adoption and tools are nice, shiny things, but in a business context, they don't really matter. The only moat is somewhere totally different. It's within your company and your brain, and it's called strategy.

  Strategy / Vision•Benjamin Talin•16 Jul 2026•16 minutes

  

• 5 Reasons Why AI Implementations Fail Before the First Prompt Is Even Typed

  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 & Machine Learning•Wolfgang Gehrer•24 Jun 2026•7 minutes

  

• Multi-Agent Systems - How Agentic AI Autonomously Controls Entire Workflows and Transforms Businesses

  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 & Machine Learning•Nicole Lontzek•10 Jun 2026•7 minutes

  

• Brand Choice in the Age of AI – Between Simple Data Logic and Emotional Connection.

  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.

  Marketing•Kai Bösterling•1 Jun 2026•8 minutes

  

• Harness Engineering: The System Architecture That Makes AI Agents Productive

  Harness engineering defines rules, context, and feedback for AI agents—making it a key technology in modern AI systems.

  AI & Machine Learning•Nicole Lontzek•22 May 2026•5 minutes

  

• The AI Promise Problem

  The “AI promise problem”: how overhyped AI and robotic solutions blur the line between vision and reality - and why trust is the new currency in AI.

  AI & Machine Learning•Britta Daffner•8 Dec 2025•5 minutes

  

• Strategy Doesn’t Need Another Dashboard. It Needs a Diagnostics and Insights.

  If you're running a business, you might be misled by traditional business analytics and dashboards. The future is all about business diagnostics.

  Strategy / Vision•Benjamin Talin•17 Aug 2025•12 minutes

  

• AI in marketing requires new evaluation standards

  This article argues for a paradigm shift in the use of AI in marketing: Efficiency should not be the primary goal of AI deployment. Instead, it should be quality. The quality of the customer journey. The quality of the customer experience. The quality of the product. The quality of the service. When it comes to brand experiences, the starting point should always be “strategy first” or “brand strategy first,” not “AI first.”

  Marketing•Kai Bösterling•30 Jul 2025•16 minutes

  

• AI Agents Were Tasked With Running a Company

  AI agents are hyped as the future of work, with CEOs predicting they’ll replace significant parts of the corporate workforce. But a recent Carnegie Mellon study shows that reality hasn’t caught up: when AI agents were tasked with running a virtual company, even the best models completed less than a quarter of their assignments. From poor social understanding to a lack of flexibility and self-awareness, the current generation of agents struggles with real-world complexity. While early use cases — like AI in software development or CEOs using avatars in earnings calls — show promise, full automation is still far off. The real opportunity? Augmenting human teams, not replacing them.

  AI & Machine Learning•Britta Daffner•26 Jun 2025•5 minutes

  

• MoreThanDigital Insights: Building Smarter Companies, One Diagnosis at a Time

  Old instincts can't keep up. Discover how business diagnostics like MoreThanDigital Insights empower smarter decisions and drive true transformation.

  Strategy / Vision•Thnk Machine•16 May 2025•7 minutes

  

• The rise of Agentic AI: Top Risks and Concerns

  By 2027, Deloitte forecasts that half of companies using generative AI will have adopted Agentic AI, also known as AI agents, to enhance their operations. Are there risks to watch out for as this technology gains fast adoption?

  IT-Security & Cyber Security•Elijah Falode•11 Apr 2025•4 minutes

  

• Evolving Management Toward AI-powered and Insights-Driven Organizational Transformation

  Data, Insights and AI - we are in a new business world and management is evolving too. This article will help you understand the future of management.

  Leadership & Management•Benjamin Talin•31 Mar 2025•17 minutes