To extract timely meaning form data in the future, many companies will have to change, adapt, or move on from their current technologies. GPU databases are one of the best ways for enterprises to get full utility from streaming data in real time and to converge big data analytics with machine learning AI workloads in a single platform.
Join the CTO and Editor of CITO Research and Forbes contributor Dan Woods for an illuminating webinar about how GPUs can handle the quantity, speed, and diversity of data, and merge these disparate streams into a single database. This results in huge performance boosts for companies and gives them the ability to integrate BI and AI.
By attending, you will be able to explain to your CEO:
- The difference between CPUs and GPUs for enterprise computing
- How GPUs and the software that leverages them help you get the most out of your data and how they can augment your existing data supply chains
- Reasons why your CEO should consider adding GPUs to his or her organization, including AI and machine learning capabilities, increased processing speed, and the ability to stream data and handle multiple data sources
GPU use cases, such as location-based analytics, BI acceleration, operationalizing machine learning, and real-time IoT analytics