Best of LinkedIn: Cloud Insights CW 23/ 24

Best of LinkedIn: Artificial Intelligence CW 23/ 24

From AI Adoption to AI Accountability: Governing Risk, Compliance, and Trust in the Age of Autonomous Systems We curate most relevant posts about Artificial Intelligence on LinkedIn and regularly share key takeaways. We at Frenus support ICT & Tech providers with AI ecosystem strategy through delivering independent vendor assessments, build-vs-buy analysis, and ecosystem intelligence that prevents costly missteps and strengthens competitive positioning. You can find more info here:https://www.frenus.com/usecases/ai-ecosystem-strategy-vendor-selection-partnership-due-diligence-build-vs-buy-analysis [https://www.frenus.com/usecases/ai-ecosystem-strategy-vendor-selection-partnership-due-diligence-build-vs-buy-analysis] This edition highlights that AI governance has evolved from a theoretical policy exercise into an urgent operational requirement driven by the EU AI Act. Experts argue that true oversight requires a multi-layered approach, beginning with a comprehensive AI inventory to eliminate unrecorded "shadow AI" within organisations. The sources stress that deployer responsibility cannot be outsourced to vendors, especially as penalties for non-compliance now pose material risks to global revenue. Beyond legal mandates, the texts examine how agentic AI and autonomous systems introduce novel security threats, such as prompt injection and context pollution, which demand sophisticated human judgment. Strategic shifts are also visible as the industry moves toward sovereign infrastructure and model diversification to mitigate the geopolitical risks of provider dependency. Ultimately, the consensus suggests that human-centred leadership and robust data foundations are more vital for long-term success than simply adopting the latest frontier model. This podcast was created via Google NotebookLM.

Best of LinkedIn: Google Cloud Summit DACH 2026

Google Cloud Summit DACH 2026: From Sovereign Cloud to Agentic AI We curate most relevant posts about Digital Transformation & Tech on LinkedIn and regularly share key takeaways. In this edition, Google Cloud Summit DACH 2026 in Frankfurt serves as a pivotal gathering for industry leaders to announce the transition from AI experimentation to large-scale agentic production. Central to the event is the introduction of sovereign cloud solutions, specifically through a partnership with Thales to provide legally and technically independent infrastructure for regulated German sectors. Participants showcase real-world applications of autonomous agents in finance, manufacturing, and luxury retail, emphasizing that clean data foundations are now more critical than the AI models themselves. Keynotes and workshops highlight how Gemini Enterprise and the Agent Development Kit are moving beyond simple chatbots to execute complex, end-to-end business workflows. The summit also explores the future of work, framing AI as a tool for human empowerment and operational resilience rather than mere job replacement. Ultimately, the event underscores that digital sovereignty and high-speed innovation are no longer mutually exclusive goals for European enterprises. This podcast was created via Google NotebookLM.

Best of LinkedIn: Cloud Insights CW 23/ 24

Beyond Cloud-First: The Rise of Sovereign and AI-Driven Cloud Strategies We curate most relevant posts about Cloud Insights on LinkedIn and regularly share key takeaways. We at Frenus have built a sovereign cloud market radar for ICT providers, featuring weekly hot news, monthly reports, quarterly leadership presentations, and AI podcasts for field teams. You can find more info here: https://www.frenus.com/usecases/sovereign-cloud-market-radar-always-on-intelligence-for-ict-leaders-who-cannot-afford-to-fall-behind [https://www.frenus.com/usecases/sovereign-cloud-market-radar-always-on-intelligence-for-ict-leaders-who-cannot-afford-to-fall-behind] This edition explores the shifting priorities of the global cloud market in 2026, focusing on the critical intersection of digital sovereignty, AI infrastructure, and FinOps. Organizations are moving away from "cloud-first" mandates toward a cloud-selective approach, prioritizing private and sovereign environments for sensitive workloads to maintain data control and mitigate geopolitical risks. Regulatory developments in Europe, such as the Cloud and AI Development Act (CADA), are formalizing these requirements, pressuring US hyperscalers to offer independent operational models. Meanwhile, the high cost of generative AI is driving a trend toward workload repatriation and the adoption of advanced FinOps practices to ensure economic sustainability. Technical updates from major providers like AWS, Google Cloud, and Microsoft reflect this evolution, offering new tools for cross-account management and on-premises AI deployment. Ultimately, the collection highlights that cloud strategy has transformed from a technical IT decision into a high-stakes business and national security priority. This podcast was created via Google NotebookLM.

Best of LinkedIn: Sustainability & Green ICT CW 22/ 23

Responsible AI Infrastructure: Building Scalable Digital Systems Within Environmental Limits We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways. We at Frenus support ICT enterprises with precise market and pricing intelligence that goes beyond traditional analyst subscriptions and existing databases, delivering actionable insights for better decision-making. You can find more info here: https://www.frenus.com/usecases/filling-the-strategic-gaps-your-current-intelligence-sources-leave-open [https://www.frenus.com/usecases/filling-the-strategic-gaps-your-current-intelligence-sources-leave-open] This edition examines the complex intersection of artificial intelligence and environmental sustainability, highlighting that digital growth has a significant physical footprint. While modern data centres are adopting closed-loop cooling and energy-efficient hardware, experts argue that these technical fixes do not eliminate heat or the ecological strain on water-stressed regions. The texts advocate for a shift towards Green IT practices, where developers prioritise clean code and strategic model routing to reduce unnecessary computational waste. Beyond mere efficiency, there is a growing call for transparency and the integration of carbon, water, and biodiversity metrics into standard business observability. Emerging solutions, such as underwater data centres and AI-driven materials discovery for green energy, suggest a path forward where technology supports rather than depletes natural resources. Ultimately, the collection stresses that the future of AI will be defined by responsible infrastructure and the social license to operate within planetary boundaries. This podcast was created via Google NotebookLM.

Best of LinkedIn: Digital Products & Services CW 22/ 23

Product Management in the AI Era: From Managers to Builders We curate most relevant posts about Digital Products & Services on LinkedIn and regularly share key take aways. We at Frenus support enterprise product teams with feature-by-feature competitive intelligence, enabling them to clearly understand how their products stack up against competitors and make data-driven product decisions. You can find more info here:https://www.frenus.com/usecases/product-feature-benchmarking-and-sales-battle-cards-know-exactly-where-you-win-where-you-lose-and-why [https://www.frenus.com/usecases/product-feature-benchmarking-and-sales-battle-cards-know-exactly-where-you-win-where-you-lose-and-why] This edition examines the transformative impact of artificial intelligence on the product management profession, emphasizing a shift from administrative tasks to high-level strategic judgment. Experts argue that while AI can automate documentation and prototyping, human intuition remains essential for navigating customer empathy and complex trade-offs. The collection highlights several emerging software tools designed to streamline product discovery and turn fragmented feedback into actionable business insights. Successful operating models are described as those that remove operational friction and align teams around a singular North Star metric. Furthermore, the edition suggests that in an era of rapid AI-driven development, brand differentiation increasingly relies on a distinct point of view and superior user experience. Ultimately, the role of the product manager is evolving into that of a "builder" who orchestrates technology to solve genuine human problems. This podcast was created via Google NotebookLM.