From IBM website.
1.Multimodal AI
2.(Smaller) language models and open source advancements
3.GPU shortages and cloud costs
4.Model optimization is getting more accessible
5.Customized local models and data pipelines
6.More powerful virtual agents
7.Regulation, copyright and ethical AI concerns
8.Shadow AI (and corporate AI policies)
9.Reality check: more realistic expectations