3-step model for digital trust in 2025

I was reflecting on the variety of risk calculations and security scores we all rely on. Having worked cyber risk calculations through financial services companies’ model risk management (MRM) programs, I’ve seen firsthand the level of scrutiny applied. But many other models in use today don’t receive that same level of evaluation—though they probably should. If you’re outside of financial services, how do you replicate that level of investigative rigor? Is there a single “right” cyber model, or does it align more with the axiom that “all models are wrong, but some are useful”? Far too often, trust in cyber risk models is assumed rather than assessed. My latest article in ISACA Journal (Volume 2, 2025) introduces a structured framework for evaluating trust in cyber risk models. Drawing from Aristotle’s rhetorical principles—logos, ethos, and pathos—the framework decomposes trust into three tiers: attributes, artifacts, and evidence. This approach ensures that models are not just mathematically sound, but also transparent, validated, and empirically supported. For organizations relying on cyber risk models, understanding these trust factors is essential to making informed, defensible decisions. Read more in ISACA Journal: https://lnkd.in/ewgfeQCR

Our latest PwC Next In Consumer Markets research finds investment in AI powered capabilities driving higher cloud spend within a landscape that is shifting from isolated AI use cases to holistic AI-enabled business models that blend digital and physical touchpoints into seamless experiences. PwC research shows that top performing companies are twice as likely to have already adopted an AI-specific operating model and developed GenAI-based products and services. Success in 2025 will likely belong to organizations that excel across three key dimensions. 1 - Leveraging AI to anticipate generational needs, personalize experiences and foster genuine customer loyalty. 2- Balancing innovation with responsible deployment while turning privacy requirements into opportunities for trust. 3- Driving enterprise-wide human-AI collaboration where technology enhances rather than replaces human capabilities across both customer-facing and back-office operational functions. The most profound implementations will be those where AI listens, understands and helps retail teams become more attuned to their customers, not less — thereby defining retail excellence in the years ahead. https://lnkd.in/eptDRGhT

The innovation gap is widening. 78% of organizations use AI, but only 1% are fully mature in their deployments. As I reflect on McKinsey & Company's Technology Trends 2025, three converging forces are reshaping entire industries—and how leaders must adapt. Autonomous intelligence is reshaping work itself. #Agentic #AI talent demand exploded 985% year-over-year as virtual teammates that anticipate and act emerge. Boston Dynamics introduced Electric Atlas, with Hyundai planning deployment as cobots in automotive manufacturing. McKinsey's QuantumBlack boosted analyst productivity 60% through agentic workflows. Physical-digital convergence accelerates. Robotics expands beyond manufacturing into logistics and healthcare. Immersive reality transforms training. Every workspace becomes intelligent, adapting in real-time. And physical devices become connected devices that extend capabilities beyond predictive maintenance. This isn't automation—it's responsive environments. Infrastructure determines competitive position. AI-ready data center capacity will grow 33% annually through 2030, with tech giants collectively directing hundreds of billions annually toward AI infrastructure—Google, Amazon, Meta, and Microsoft each projected to spend $70-100+ billion on AI capital expenditures in 2025. This isn't just about technology—it's about building unassailable competitive moats through computational control. The way I see it, there are three imperatives for leaders who want to get ahead: 1. Govern for scale, not just safety - From 2017-2023, trusted brands outperformed others by 245 percentage points in cumulative stock returns. Build AI governance that enables rapid deployment while managing enterprise risk. As Roger Roberts emphasizes: "Trust is no longer a soft issue; it's a business-critical asset...digital trust is the license to operate." Trust becomes your sustainable competitive advantage as autonomous systems handle mission-critical decisions. 2. Orchestrate human-machine collaboration - The talent shortage in critical AI skills is real. Train leaders to architect workflows where humans and AI systems amplify each other's capabilities. As Michael Chui notes: "Only 1 percent of companies reported that their use of AI is fully mature. There is still a lot of headroom for transforming companies and industries." 3. Secure computational sovereignty - Organizations that control specialized compute infrastructure will dictate industry terms. The winners will be those who master what Alex Singla calls the shift "from experimentation to scaled adoption, while building robust guardrails for trust and accountability." At Fortive, we're not just responding to this transformation—we're engineering it. By coupling the Fortive Business System (#FBS) with technology, we're integrating these breakthrough capabilities to accelerate innovation and deliver solutions that keep the world's critical infrastructure safe and productive. https://lnkd.in/eW3HMv5R