Report: Streamlining Generative AI

Report: Streamlining Generative AI


Report: Streamlining Generative AI

This report explores the evolving landscape of Generative AI, focusing on key trends and insights shaping its trajectory in 2024. Deloitte's forecast highlights a significant increase in enterprise spending on Generative AI, driven by the pursuit of custom models trained on proprietary data. Moreover, the discussion underscores the enduring relevance of both large and small language models (LLMS and SLMS), with predictions pointing towards potential dominance by major providers in the LLMS space, while SLMS are expected to offer a more diverse and potentially less regulated ecosystem. Overall, the article emphasizes the importance of staying abreast of these trends to leverage Generative AI effectively for enhanced productivity and competitiveness.


What readers will take away from the report:

  • Companies are increasingly using Generative AI to enhance productivity, cut costs, and uncover valuable insights.
  • Large language models (LLMS) are likely to consolidate around major providers, while small language models (SLMS) offer a diverse and potentially less regulated landscape.
  • The article emphasizes the need for businesses to adapt to these trends to remain competitive.
  • Insights into Generative AI's evolving role and its potential to drive innovation and efficiency in various industries.


Read report for free.