The ORO Labs–ZAGENO partnership connects scientific purchasing with enterprise procurement workflows. For business leaders, it offers a practical starting point for evaluating how specialist tools, AI and existing systems can work together to reduce administrative friction while preserving control.
AI-assisted coding can shorten the distance between a business idea and a working prototype. The loveholidays case illustrates the opportunity, while highlighting a broader leadership challenge: turning faster development into reliable, measurable business value.
Five things manufacturers of digital products need to do now A cybersecurity vulnerability discovered in a product is no longer only a technical problem. From 11 September 2026, it can also trigger a regulatory reporting process with a first deadline measured in hours. That is when Article 14 of the EU Cyber Resilience Act becomes applicable.…
Europe’s new packaging regime has entered its application phase. For procurement teams, the challenge is no longer simply understanding the regulation—it is translating it into supplier requirements, packaging specifications, reliable data and auditable evidence. The European Union’s Packaging and Packaging Waste Regulation (PPWR), Regulation (EU) 2025/40, has reached a major milestone. The Regulation entered into…
From chatbots to deepfakes and AI-generated content, the EU’s new transparency requirements are now operational. For businesses, the priority is to understand which rules apply, who is responsible and where disclosure is actually required. Artificial intelligence has become embedded in customer service, marketing, communications, content production and internal workflows. On 2 August 2026, another important…
The real innovation is not image generation. It is a reusable system for producing accurate product content at scale. Most conversations about generative AI in marketing focus on one question: How can we create more content? Nestlé is addressing a more fundamental challenge: How can a global company build a content system that produces thousands…
Most companies are asking AI to create more content. The Coca-Cola Company is exploring a more consequential question: How can AI control the way thousands of creative assets are produced—without weakening one of the world’s most recognizable brand identities? Its answer is Project Fizzion, an AI-powered design system co-developed with Adobe. Instead of using generative AI…
The real transformation is not faster image generation. It is turning product content from a repeated production expense into a reusable digital system. Generative AI has made it remarkably easy to create an image. For global brands, however, creating an image was never really the problem. The harder problem is creating thousands of commercially usable images and…