Archive
Digital Economy Dispatch #233 -- AI as Normal Technology: A Pragmatic AI-at-Scale Strategy Approach
Hot on the heels of "AI Snake Oil", in Narayanan and Kapoor forthcoming book they advocate viewing AI as "normal technology", emphasizing maintaining human control and assessing progress realistically as fundamental for an effective AI-at-Scale strategy.
Digital Economy Dispatch #231 -- Does AI Make Us More Productive?
Despite the excitement around AI, is it improving productivity? Achieving AI's productivity gains requires more than just implementation; it needs strategic changes in workflows, measurement, and human-AI collaboration to unlock transformative value.
Digital Economy Dispatch #230 -- The Challenges of AI Adoption in the UK Public Sector
Reviewing AI in UK public sector organizations has revealed a gap between AI's potential and the reality with implementation challenges such as outdated systems and lack of transparency. Addressing this is essential to increase the government's capacity for widespread AI adoption.
Digital Economy Dispatch #229 -- Understanding AI Attitudes
Understanding individual and organizational attitudes towards AI is crucial for determining the success of your AI adoption. Recent surveys reveal a complex spectrum of public perceptions. Exploring them brings important insight for digital leaders.
Digital Economy Dispatch #226 -- The Evolving Interplay between Business and Technology
Business and technology are becoming indistinguishable in the digital age. By viewing their relationship through the concepts of the "technology of business" and the "business of technology", we can see how AI will accelerate this fusion.
Digital Economy Dispatch #225 -- Is a Data Fabric Approach the Key to Scaling Enterprise AI?
Scaling AI requires a coordinated approach to data management. A data fabric architecture may the answer. It offers a strategic solution to overcome data fragmentation, quality issues, and governance deficiencies that prevent enterprises from scaling AI beyond pilot projects.
Digital Economy Dispatch #224 -- A Practical Approach to AI Accountability
Today, AI systems making important decisions often lack transparency, leading to legal and ethical problems. Organizations must take practical steps for AI to implement clear guidelines, integrate ethics into development, monitor AI performance, and train staff to ensure responsible AI use.