Aporia takes aim at ML observability, responsible AI and more
Is there a line connecting machine learning observability to explainability, leading to responsible AI? Aporia, an observability platform for machine learning, thinks so.
Read More →Reducing cloud waste by optimizing Kubernetes with machine learning
Applications are proliferating, cloud complexity is exploding, and Kubernetes is prevailing as the foundation for application deployment in the cloud. That sounds like an optimization task ripe for machine learning, and StormForge is acting up on that.
Read More →The Ring Zero of real-time data processing: Redpanda scores $50M Series B funding to grow its streaming platform
Maintaining compatibility with the de-facto market standard while reimplementing and extending it. It's easier said than done, but that's what Redpanda is doing, and it seems to be working.
Read More →H2O.ai brings AI grandmaster-powered NLP to the enterprise
Hydrogen Torch, H2O's latest product, is designed to deliver the AI capabilities of web giants to the rest of the world, says CEO Sri Ambati.
Read More →Data is going to the cloud in real-time, and so is ScyllaDB 5.0
ScyllaDB started with the aim of becoming a drop-in replacement for Cassandra. It's growing to become more than that.
Read More →How Netflix built its real-time data infrastructure
What makes Netflix, Netflix? Creating compelling original programming, analyzing its user data to serve subscribers better, and letting people consume content in the ways they prefer, according to Investopedia’s analysis.
Read More →Bringing Deep Learning to your hardware of choice, one DeciNet at a time
Training deep learning models is costly and hard, but not as much as deploying and running them in production. Deci wants to help address that.
Read More →The state of AI ethics: The principles, the tools, the regulations
What do we talk about when we talk about AI ethics? Just like AI itself, definitions for AI ethics seem to abound. A definition that seems to have garnered some consensus is that AI ethics is a system of moral principles and techniques intended to inform the development and responsible use of artificial intelligence technologies.
Read More →Rendered.ai unveils Platform as a Service for creating synthetic data to train AI models
As more organizations are turning to synthetic data to feed their data-hungry machine learning algorithms, Rendered.ai wants to help.
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