In the generative AI era, having a comprehensive data strategy is more critical than ever

In 2023, generative AI (gen AI) stepped into the tech and cultural spotlight. Though the large language models (LLMs) that serve as the foundation for gen AI tools have been in development for years, chatbots, like OpenAI’s ChatGPT, emerged seemingly overnight.

Along with this milestone came the increasing recognition that data is the fuel that makes gen AI work—and that comprehensive data governance and efficient data management can determine the success or failure of an enterprise AI project.

2024 promises to deliver even broader adoption of such tools alongside more substantial investment, as innovations continue to emerge at breakneck speed, and the way data scientists and data analysts work continues to change.

In this ebook, you will learn about five emerging trends that organizations can use to inform their data strategies and accelerate their AI efforts. Specifically how:

  1. Organizations are prioritizing getting their data house in order
  2. Vector and feature stores will begin to live side by side to manage AI data
  3. General-purpose chatbots will be supplanted by task-tuned counterparts
  4. A new breed of AI apps will emerge from LLMs
  5. Open source will continue to be a catalyst for innovation

Download Now