Nine organizational challenges of the agentic era
AI adoption challenges: 9 organizational barriers to scaling AI, from the prototype-to-production gap to lock-in.
These 24 Artificial Intelligence deep dives are a practical guide to incorporating Generative AI into enterprise systems, understanding where to start, which risks and metrics to monitor, and exploring real-world use cases with measurable impact on operations and the Income Statement: increased revenue, lower costs, improved margins, and higher net profit.
Why does it matter? Because Generative AI is already part of our daily lives, yet its adoption remains largely personal rather than enterprise-wide. Just over three years after the launch of ChatGPT, postponing system modernization translates into slow processes, blind decision-making, security gaps, and a competitive advantage that gradually disappears.
The unmissable GeneXus presentations at Globant Converge
Creation and In novation in the Age of AI
Low-Code + Generative AI: Challenges and Opportunities for CIOs
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