The convergence of HPC and AI seems to be a hot-topic this year - yet companies are struggling over whether to invest in innovative technologies such as Artificial Intelligence (AI) to scale knowledge and intelligence. 

Depending on the organisation and their competencies, commonly asked questions include:

• Is it worth it?
• What does it cost?
• How do I do it?

However, several organisations have already implemented plans to test proof of concepts, while others are in an advanced phase or already adopting AI. Read on to find out the business case and how a real organisation put their plan into practice.

Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report 'Shifting toward Enterprise-grade AI', explores how they are approaching strategic imperatives, defining value drivers, building foundational capabilities and improving access to talent—as well as how their efforts could drive exponential competitive advantage.

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