AI governance isn’t a brake on progress; it’s a strategic enabler of ethical, scaled innovation, requiring a shift to use-case focus and universal literacy.
Atlassian’s $610m browser acquisition is a high-stakes bet on secure, specialised AI productivity against free, embedded Microsoft/Google competition.
Firms face an AI talent trap; they must develop new skills and hire to stay competitive in the innovation economy.
Successful AI integration demands a new mindset and strategic five-stage approach, moving from experimentation to pervasive innovation for sustained competitive advantage.
Businesses are shifting from a ‘knowledge’ to an ‘innovation’ economy, with AI driving new ideas, customer engagement, and operational efficiency.
Successful M365 information governance ensures data security, compliance, and ROI. Implement a phased approach, align licensing with your risk, and manage all data types.
While W11 boosts security and productivity, migrating needs careful planning for hardware/app compatibility and user training ahead of W10 end-of-support.
Ready-made GenAI offers speed but limits customisation. Building in-house allows bespoke solutions but demands time and risk. AI platforms provide a hybrid path for rapid, tailored deployment.
CIO roles evolve, facing ambiguity but expanding into CXO positions. Diversified C-suite roles, including CTO, CDO, and CISO, address specialised technological needs.
