Latest Advisory
VENDORiQ: Neo4j’s Infinigraph – A Step Towards a Unified Graph Architecture?
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
VENDORiQ: Neo4j’s Infinigraph – A Step Towards a Unified Graph Architecture?
Neo4j’s Infinigraph architecture unifies transactional and analytical workloads at scale, simplifying data ecosystems and enabling real-time insights for AI.
Modern Digital Governance – Content, Context and Membership
IBRS has previously provided research and advisory on digital governance structures and terms of reference. This advisory goes further, examining the issues, content, and agenda of modern digital governance. What should be the focus of IT governance today?
AI Product Operating Cost Drivers: Demystifying the Path to Strategic Value Realisation – Special Report
Organisations must adopt performance-based contracts for AI to ensure investments deliver tangible value and costs align with business objectives. This approach links payments to measurable outcomes, shifting from traditional input-based pricing.
Measure your Information Security Culture to Supercharge Organisational Cyber Resilience – Webinar and Presentation Kit
Enhancing cyber resilience hinges on evolving cyber security awareness programs to actively measure and influence human behaviour and organisational culture, fostering a shared responsibility beyond the IT department through visible metrics and incentivisation
AI as the Engine of the Innovation Economy: Part 1 – Strategy
Businesses are shifting from a ‘knowledge’ to an ‘innovation’ economy, with AI driving new ideas, customer engagement, and operational efficiency.
Strategic Considerations for AI Video Tool Adoption – Lessons from the Dawn of Desktop Publishing
AI video tools, like early desktop publishing, offer huge potential, but smart adoption needs a clear strategy, skilled people, and pilot programmes to ensure real business value.
Why Your AI PoC Won’t Get into Live Production… and What to Do About It
Most artificial intelligence proof-of-concepts fail in production due to underestimated costs, dynamic data issues, governance, and integration challenges. Tackle these early for success.