The analysts predict that generative AI will bring more automation and efficiency to database design and management, but it won't replace traditional AI in complex tasks due to its current limitations. They also foresee the rise of an "intelligent data platform" that combines data management and AI capabilities. However, they caution against overestimating current market readiness for such a platform. In terms of business intelligence and predictive analytics, generative AI is expected to revolutionize how insights are accessed and interacted with.
Key takeaways:
- Sanjeev Mohan predicts the emergence of a new data platform, the convergence of governance for AI and data, and open-source LLMs catching up to proprietary foundation models in 2024.
- Tony Baer predicts that gen AI will make things simpler for database practitioners in 2024.
- Carl Olofson predicts that gen AI and other developments will catalyze a rationalization of data silos to enable combinatorial data use cases which will ultimately create governance challenges in 2024.
- Dave Menninger predicts that despite all the hype around gen AI, it won’t replace traditional AI in the most demanding use cases. He predicts a continued AI skills gap in 2024.
- Doug Henschen predicts that gen AI will have a material impact on how organizations approach BI and predictive analytics in 2024.