What it needs Very simply, a data strategy must have a clear mission that aligns with: The business strategy. The technology strategy. A digital transformation agenda (if one exists). This mission must be aligned to answer the fundamental question of how customer, employee and supplier data will be used and for what purpose, which […]
[…] in a recent US primary election. Additionally, AI developer OpenAI announced it would not release a voice cloning tool it developed due to the serious risks the technology presents. “To quote Macbeth, this agreement is a lot of ‘sound and fury signifying nothing’,” said David Reed, Chief Knowledge Officer and Evangelist, DataIQ. “Both states […]
[…] buy, again and again. With so much data, more stringent regulations, and higher customer expectations today, it is not easy to harness data and empower the marketing technology available. Download this whitepaper by DataIQ and Acxiom to explore: Strategies for building a customer-first organisation How to understand and engage customers better in a disrupted […]
[…] transformation, Monotype took a more targeted approach – connecting fragmented CRM and enterprise systems through an agentic MDM platform to deliver immediate value. What stood out, aside from the technology, was the sequencing: start narrow, prove impact, and expand from a position of credibility. Key insights: Incremental transformation outperforms grand redesigns. Focused use cases create momentum […]
[…] Analytics Officer, Colgate-Palmolive Jane Rheem, Chief Data & AI Officer, Sidley Austin LLP Scott Richardson, Chief Data & Analytics Officer, First Citizens Bank Yuri Aguiar, SVP, Chief Technology Officer, Tokio Marine North America Services Mike Vaughan, Chief Data Officer, Brown & Brown Meaghan Ferrigno, Senior Vice President, CFO & CDAO, Destination Canada Wei Manfredi, […]
[…] of day-to-day adoption. Put simply, many businesses are too invested to ignore AI but are not yet mature enough to depend on it fully. Hybrid tech is the norm The technology stack itself reflects this tension. AI is now widespread across enterprise environments, but there is little sign of consensus as most organisations are not betting on a […]
[…] deployment cycles. Scaling agentic AI without redesigning roles, accountability and skill development risks slowing adoption regardless of technical performance. A shift in operating model, not just technology Agentic AI introduces new operating assumptions. It requires lifecycle governance, engineering depth, cost discipline and deliberate workforce adaptation. The organisations that succeed will not be those […]
[…] Where initiatives progress, leaders tie them to visible, costly problems and model value conservatively rather than promising transformational ROI. 5. Culture and skills are slowing adoption more than technology The challenge of adoption is often underestimated. Fear of job loss, mistrust of opaque systems and low decision literacy all limit uptake. In some cases, usage plateaus even when AI tools […]
[…] value and recognition to the data and AI profession.” “In an era where AI is redefining every industry, the DataIQ 100 celebrates the human ingenuity behind this technology shift,” said Kayur Rughani, Managing Director at Accenture Data & AI. “These are the leaders navigating a complex new frontier, guiding their organisations, empowering their colleagues, and […]
[…] only about problems, outcomes, and pain points. The result was sixty-five use cases and, more importantly, the first real debate among executives about what matters most. Outcomes beat technology Many leaders expect generative AI to dominate the opportunity landscape, but Chris expects the opposite and that most benefits will come from automation, not AI. The Ofgem price-control process […]
[…] shape strategy, but only if their work is rooted in clear value, designed around people, and delivered rapidly. His framework shifts attention away from the mechanics of the technology and towards the conditions that actually determine success: purpose, product discipline, process maturity, people readiness, and platform resilience. Anchor AI in Value Before You Scale It Dan’s […]
[…] vision. Rather than broad digital mandates, NHS teams are pursuing targeted interventions that reduce friction in existing clinical tasks while building evidence for scale. Adoption of voice-assisted technology frees time for clinicians, improving employee wellbeing and enabling them to focus on patient outcomes. This underscores that the future of AI in healthcare is augmentation, not […]
[…] They are exercises in redesigning operating models, decision rights, and roles. “Nearly all AI projects are really operating model projects with value unlocked through rethinking process, data, technology and people.” – Ian Hockney, Group Commercial Director and Office of the CIO, Specsavers. This shifts the emphasis of leadership by recognising that the most critical […]