Robust AI governance is a strategic necessity to navigate new risks, ensure compliance, and build stakeholder trust in an AI-driven landscape.
Successful AI integration demands a new mindset and strategic five-stage approach, moving from experimentation to pervasive innovation for sustained competitive advantage.
AI maturity models are vital for a successful strategy, providing a clear framework for investment, risk management, and ROI.
Atlassian’s long-term unprofitability and venture-capital-like behaviour raise concerns, especially with a potential tech downturn and the rising costs of AI on the horizon.
Figma’s successful IPO signals a robust design software market, potentially encouraging competitors to also go public soon.
These tutorials will not only help you master the IBRS AI tool but also enable your team to transform the way they approach research, advisory, and decision-making.
Prof. Koehn has authored over 200 research papers with more than 50,000 citations, and written the definitive textbooks Statistical Machine Translation and Neural Machine Translation.
Adobe Firefly’s evolution into a generative video hub boosts efficiency, but organisations must balance this with robust governance and skill development to avoid a deluge of poor-quality, off-brand content.
OpenAI’s new ‘Agents’ are an important step in user experience, but businesses should focus on process redesign for true productivity gains, not just shiny new toys.
