Part 3 of a 5-Part Series on how success in AI is determined by the Rapid Iteration Loop — across Marketing, Supply Chain, Finance, Sales, and HR & Culture.
This is Part 2 of a 5-Part Series on how success in AI is determined by the Rapid Iteration Loop use cases in Marketing, Supply Chain, Finance, Sales, and HR & Culture.
This is Part 1 of a 5-Part Series on how success in AI is determined by the Rapid Iteration Loop use cases in Marketing, Supply Chain, Finance, Sales, and HR & Culture.
As we head into 2026, while most of us are using AI in their daily work, just 30% of companies say they are getting real value from AI, and just 6% are high achievers. Let’s move you up the latter.
In real life, marketers don’t need another magical AI platform promising to “revolutionise your workflow” with a rainbow button and a unicorn mascot. We’ve all bought those tools, ...
Whenever I deliver a workshop or lecture, I start with, ‘What’s your biggest concern regarding AI?’ I give some choices such as mass layoffs, ethics and deepfakes, expanding the digital divide
AI can drive significant improvements in productivity, quality, and speed for individuals, teams, and organizations. However, if risks begin to outweigh benefits
Company CEOs say no new hires without proof AI can’t do the job. Companies around the world are making similar statements, including hospital group Mediclinic in South Africa