Data quality is the biggest barrier to AI progress right now. The speaker covers emerging solutions like data synthesis and automated cleanup, plus new tools for mapping business processes and deploying AI agents to streamline them.
And then we have also to imagine a lot of the topics we have, like data. Data is the biggest AI problem. Synthesization of data is a big, big story. And also there's now a lot of technology to make the data clean up. So maybe we should also ask ourselves to have a different perspective and to find ways to overcome the bottlenecks which are right now the bottlenecks for AI, like having proper data. Right. Having to do the cleanup or the wonderful topic about processes. There's, there are tools now, a lot of tools mapping the processes, matching these processes, and then AI agents are helping to improve the processes.
