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.
Figma’s successful IPO signals a robust design software market, potentially encouraging competitors to also go public soon.
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.
ERP databases are rapidly integrating AI indexing like vector and graph search. This will enable ‘invisible AI’ within core business applications, but adoption may be slow due to migration and skill challenges.
Generative AI will revolutionise how businesses handle data, offering natural language interfaces for queries and merging data and information governance.
Regardless of their current data maturity levels, enterprises often encounter challenges in fully engaging their entire workforce in data-driven decision-making. Senior executives are seeking ways to effectively leverage generative AI to implement enterprise-wide business intelligence, enabling every team to access real-time operational data and derive actionable insights.
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?
Businesses are shifting from a ‘knowledge’ to an ‘innovation’ economy, with AI driving new ideas, customer engagement, and operational efficiency.
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