IBM 1: Build Better Products Faster: Innovating with IBM Bayesian Optimization Accelerator
The problem spaces with which HPC leaders are working are getting more complex. Internal stakeholders are demanding that solutions come faster, cost less and be more accurate than ever. Meanwhile, the budget isn’t expanding to meet all these new needs. New today, IBM Bayesian Optimization Accelerator, a state-of-the art general parameter optimization tool based on cutting-edge innovations from the IBM Research team, can find the most optimal solution for complex, real-world design problems in less time and using less resources than its competition. With it, you can ensure better business outcomes and increase the productivity of experimental infrastructure without adding specialized data scientists. The speaker is Stephen Meserve, Product Marketing Team Lead, Enterprise AI.