27
September
2024
Chris Rodbourne
Make 2025 the year that you start your AI transformation
Here's some relevant and succint research that we've drawn from multiple sources, including Gartner:
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Organisations are stuck in a "pilot and prove" cycle with AI but only 48% of POCs make it to production. It's time to break through the barriers to scale. Only those who push beyond pilots will unlock real digital transformation
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AI can transform your business but without the right talent, you're stuck at the starting line. Upskilling your team is your key to success
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AI isn’t a silver bullet until it’s embedded into workflows; stop experimenting and start scaling to drive business impact
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Speed and agility are AI's greatest assets but only if you can demonstrate clear business value. The challenge is not the tech, it's the ROI, so align AI with your business goals
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Is your data is ready for AI - two thirds of the cost of an AI project is often spent rationalising and structuring your data before the AI part can be executed. Strong data management is the foundation for scaling AI at pace
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Generative AI is a game-changer but lack of talent and technical challenges are holding companies back. Upskill your team and embed AI into existing systems to win
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AI governance isn't just about compliance; it's your path to innovation and managing risk effectively. Strong governance drives better business outcomes
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The future belongs to organisations that can move from AI pilots to adoption at scale. Don’t wait, get AI-ready now and stay ahead of the competition
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AI-ready technologies can enhance speed, agility, and business value, but change management will make or break your AI strategy
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Change management is the unsung hero of successful AI implementation. Organizations that prioritise it see greater business outcomes
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