Panzura has announced Vizion.ai, a data management platform infused with artificial intelligence (AI) that makes it simpler to manage data distributed across multiple clouds.
Quick Base says its goal is to make it possible to visualize and manage the workflow and processes within an application developed using the Quick Base service that resides in the cloud.
Organizations can manage growing complexity generated by new privacy regulations like the California Consumer Privacy Act with a Customer Data Platform (CDP).
The decision to make TransmogrifAI open source is driven by primarily by a desire to make AI technologies readily available and easily understandable.
Accenture decided to invest in Malong Technologies because the AI pioneer has been recognized by Google, Microsoft and Gartner as being the provider of one of the most advanced implementations of computer vision technologies based on AI.
GraphPipe makes it simpler to query AI models by providing a consistent method for deploying AI models across clients and servers.
A new IBM cloud service makes use of machine learning algorithms to ingest PDF documents in a way that makes it possible to use the data in those documents to train artificial intelligence (AI) models.
With the graphics technology expanding how we view reality using technologies like augmented and virtual reality, the lines are increasingly blurred between what is real and what we can imagine.
A fierce contest between Intel and NVIDIA for control over artificial intelligence (AI) workloads is now under way in earnest.
Dell EMC is betting that many more artificial intelligence (AI) applications wind up being built and deployed in an on-premises environment than most IT professionals would expect.
Many of the applications based on machine learning and the artificial intelligence platforms into which they fit can be as dull as more efficiently running the accounts payable department. Dull is in the eye of the beholder, however.
Machine learning is the glitziest element of artificial intelligence, and perhaps the most frightening to humans.
A symbiotic relationship exists between the need for best practices for data management and a desire to build AI applications. An AI application is only as good as accurate as the data used train it.