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Businesses are pouring time and money into generative artificial intelligence (AI), with worldwide spending expected to reach $644 billion by the end of 2025, an increase of over 76% from 2024.  Yet 95% of pilot projects fail. 
 
Why? Because most organizations lack the skills and resources to drive generative AI projects to success, which is why so many early efforts stall before delivering value. Progress depends on making the right choices at every stage: identifying high-impact use cases, selecting secure and compliant architectures, and engaging partners that can accelerate delivery. 
 
But all is not lost. By approaching each of these areas with intention, companies can avoid common pitfalls and launch solutions that produce measurable results in just weeks.
 
Learn more with this whitepaper.