The Band Aid Problem in AI
In our new white paper – Beyond the Band Aid in AI: Engineering Strategic AI for a Disruptive Future – we share how to shift from a tactical "use case" mindset to a strategic "value chain" view.
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95% of AI Projects Fail.
That's according to the latest research by MIT.
Why? AI is being used as a Band-Aid.
When it comes to AI, it pays to rip off the band aid. Patching problems reactively might feel like progress but it’s a short-term solution, delaying the inevitable moment when you’re forced to get serious about AI.
Or you’re put out of business by someone else who already is.
The real opportunity?
Rebuilding your AI strategy around robust data and operational transformation at scale.
For companies that get it right, the rewards are substantial. According to Deloitte, successful AI implementation could result in as much as $1.25 trillion in market cap for Fortune 500 companies.
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What you'll find in this whitepaper:
The true cost of the "Band-Aid" approach: Learn why focusing on a single symptom leads businesses to miss larger, more strategic opportunities. You'll find out how quick fixes fail to deliver value.
The path to strategic AI: Discover how to shift from a tactical "use case" mindset to a strategic "value chain" view.
How to solve deep-rooted problems: See how superficial AI solutions can create new bottlenecks by failing to address core business challenges.
How to unlock long-term ROI: Find out why isolated projects are expensive to maintain, difficult to update, and quickly become obsolete.
How to build trust in AI: Understand why failed AI projects create a lack of trust across an organization, making it harder to win support for future initiatives.
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"If it doesn't match your business strategy, all yourAI projects will fail. Aiming for growth? Then investin AI that will promote growth. Aiming for costcutting? Look for AI efficiency gains. This soundsobvious, but you can't use AI to pursue everypossible goal."
