Best of LinkedIn: Digital Transformation & Tech

Best of LinkedIn: Sustainability & Green ICT CW 20/ 21

20 min · 29. maj 2026
episode Best of LinkedIn: Sustainability & Green ICT CW 20/ 21 cover

Beskrivelse

Sustainable AI Infrastructure: Designing Efficient, Transparent, and Accountable Digital Systems 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 critical intersection of artificial intelligence, digital infrastructure, and environmental sustainability as the industry moves toward 2026. Experts argue that while green hosting and renewable energy are foundational, true sustainability requires systemic changes in software engineering, such as right-sizing models and reducing bloated code. Key concerns include the massive energy and water demands of data centres, which are increasingly viewed as strategic national infrastructure that must be managed through transparent reporting and policy incentives. The texts highlight a transition from mere adoption to efficiency-driven architecture, where frugal AI and circular energy systems, like reusing waste heat, provide a competitive economic advantage. Ultimately, the collection emphasizes that innovation without ecological accountability is a long-term liability, urging a shift toward measurable handprints that create positive global impacts. This podcast was created via Google NotebookLM.

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194 episoder

episode Best of LinkedIn: Health Tech CW 22/ 23 cover

Best of LinkedIn: Health Tech CW 22/ 23

The New Digital Health Era: Scaling AI, Data, and Care Delivery in 2026 We curate most relevant posts about Health Tech on LinkedIn and regularly share key takeaways. This edition offers a comprehensive update on the 2026 health technology landscape, highlighting a transition from experimental AI to practical clinical implementation. Industry leaders from organisations like Oracle Health, GE HealthCare, and Philips report significant advancements in standardising legacy data, automating physician documentation, and enhancing diagnostic precision through multiomics and spectral imaging. A major theme across these reports is the importance of connected ecosystems over fragmented tools, with a focus on interoperability and vendor-neutral infrastructure to support surgical and outpatient care. Global events such as HIMSS Europe and various medical forums underscore that trust, regulatory compliance, and patient-centred design are now as critical as the technology itself. Additionally, the texts detail real-world breakthroughs, including AI-guided surgical assistants and ultra-low-dose pediatric imaging, which aim to improve patient outcomes while reducing clinician burnout. Ultimately, the collection illustrates a shift where digital health is treated as essential infrastructure, demanding robust governance and strategic partnerships to deliver long-term value. This podcast was created via Google NotebookLM.

8. juni 202614 min
episode Best of LinkedIn: ICT & Tech Insights CW 21/ 22 cover

Best of LinkedIn: ICT & Tech Insights CW 21/ 22

Securing the Quantum Transition: Building Cyber Resilience for Post-Quantum, AI-Driven Enterprise Infrastructure We curate most relevant posts about ICT & Tech Insights 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 outlines the critical intersection of quantum computing, cybersecurity, and enterprise infrastructure as the industry approaches a projected "Q-Day". Experts warn that existing cryptographic standards are becoming obsolete, necessitating a rapid migration to post-quantum cryptography to protect digital assets and critical biomedical devices. Major technology leaders like IBM and Microsoft are committing billions to achieve fault-tolerant quantum systems and high-reliability qubits by the end of the decade. Meanwhile, practical milestones are being reached today, including the successful hybrid simulation of massive proteins and the deployment of quantum-enhanced AI in manufacturing. Beyond hardware, the texts address urgent security needs, such as patching active server vulnerabilities and adopting cyber resilience frameworks to survive inevitable breaches. Ultimately, the transition is described as a shift from theoretical research to strategic national sovereignty and commercial utility. This podcast was created via Google NotebookLM.

5. juni 202619 min
episode Best of LinkedIn: Artificial Intelligence CW 21/ 22 cover

Best of LinkedIn: Artificial Intelligence CW 21/ 22

Navigating AI Act Exposure, Runtime Governance and Enterprise Trust in the Agentic AI Era 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 provides a comprehensive analysis of the global impact of the EU AI Act, emphasizing that its regulatory reach extends to any organisation whose AI outputs affect European citizens. Experts argue that businesses must shift from static compliance checklists to dynamic runtime governance, particularly as autonomous agents begin to handle complex workflows. The texts highlight a growing tension between rapid technological innovation and the necessity for human-centric oversight, suggesting that trust and accountability are becoming the new primary market differentiators. Beyond regulation, the contributors explore strategic operational challenges, such as managing the high costs of compute, addressing data limitations, and preventing the erosion of junior talent pipelines through automation. Ultimately, the collection serves as a call for leadership and organisational maturity, urging boards to move past mere experimentation toward responsible, infrastructure-level integration of artificial intelligence. This podcast was created via Google NotebookLM.

4. juni 202618 min
episode Best of LinkedIn: Cloud Insights CW 21/ 22 cover

Best of LinkedIn: Cloud Insights CW 21/ 22

Cloud Strategy: Sovereign Infrastructure, FinOps Discipline & the AI Scaling Era 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 offers a comprehensive look into the evolving landscape of FinOps and sovereign cloud strategies for 2026. Experts highlight a transition from simple cost-tracking dashboards to platform-embedded financial intelligence, where engineers manage cloud waste at the point of deployment. A significant portion of the text addresses the geopolitical shift in Europe, where data residency is no longer sufficient to ensure true sovereignty. Instead, new regulations like the Cloud and AI Development Act (CADA) and the impact of the US CLOUD Act are forcing a move toward infrastructure owned and operated within European jurisdiction. Additionally, the sources examine the exploding costs of generative AI, noting that token-based pricing and hidden SaaS add-ons are creating unsustainable financial burdens for enterprises. Strategic updates from major providers like Oracle, SAP, and T-Systems demonstrate a growing market for local, air-gapped, and high-performance sovereign solutions. Ultimately, the collection underscores that modern cloud success requires a blend of technical governance, jurisdictional control, and proactive value management. This podcast was created via Google NotebookLM.

2. juni 202614 min
episode Best of LinkedIn: Sustainability & Green ICT CW 20/ 21 cover

Best of LinkedIn: Sustainability & Green ICT CW 20/ 21

Sustainable AI Infrastructure: Designing Efficient, Transparent, and Accountable Digital Systems 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 critical intersection of artificial intelligence, digital infrastructure, and environmental sustainability as the industry moves toward 2026. Experts argue that while green hosting and renewable energy are foundational, true sustainability requires systemic changes in software engineering, such as right-sizing models and reducing bloated code. Key concerns include the massive energy and water demands of data centres, which are increasingly viewed as strategic national infrastructure that must be managed through transparent reporting and policy incentives. The texts highlight a transition from mere adoption to efficiency-driven architecture, where frugal AI and circular energy systems, like reusing waste heat, provide a competitive economic advantage. Ultimately, the collection emphasizes that innovation without ecological accountability is a long-term liability, urging a shift toward measurable handprints that create positive global impacts. This podcast was created via Google NotebookLM.

29. maj 202620 min