Bronfman also emphasizes the importance of upskilling and training within organizations to fully leverage the benefits of AI. He believes that the democratization of predictive AI, combined with natural-language interaction powered by generative AI, will lead to more efficient and effective implementation of AI projects. This, in turn, will increase the average ROI of AI projects and help businesses overcome the current barriers to AI success.
Key takeaways:
- AI initiatives often fail due to their complexity, slow response to changing conditions, and incorrect data selection. Only 32% of data scientists said their models are usually deployed, leading to a waste of time and resources.
- Generative AI and predictive AI are fusing together to make predictive AI more accessible to a wider range of users, including those without deep data science expertise. This fusion is accelerating AI adoption within businesses.
- The growth of generative AI is leading to the democratization of predictive AI capabilities throughout organizations. Companies need to ensure their teams are equipped with these tools and are ready to take advantage of this opportunity through upskilling and training.
- The combination of a predictive mindset and natural-language interaction powered by generative AI will lead to a true democratization of predictive AI throughout organizations. This will increase the average ROI of AI projects through more efficient, effective implementation.