Amazon Elastic Compute Cloud (Amazon EC2) G5 instances are the first and only instances in the cloud to feature NVIDIA A10G Tensor Core GPUs, which you can use for a wide range of graphics-intensive and machine learning (ML) use cases. With G5 instances, ML customers get high performance and a cost-efficient infrastructure to train and …
One of the best ways to share, reuse, and scale your ML workflows is to run them as pipelines. To maximize their value, it’s important to build these pipelines in such a way that you can easily reproduce runs that produce similar results, as described in the paper “Hidden Technical Debt in Machine Learning Systems”. …
Read more “Building reusable Machine Learning workflows with Pipeline Templates”
Customers reach out to contact centers for help in moments of urgent need, but due to increasing demands, new channels, peak times, and operational pressures, contact centers often struggle to provide timely help. To bridge this gap, enterprises are increasingly investing in AI-driven solutions that balance addressing customer expectations with operational efficiency. But building and …
Read more “CCAI Platform goes GA: Faster time to value with AI for your Contact Center”
The new field of AI Ethics includes Responsible and Trustworthy AI, with the goal of doing no harm with artificial intelligence algorithms.Read More
Join industry experts as they dig into how enterprises can break down silos and turn data into company-wide AI and machine learning solutionsRead More
OpenAI’s Whisper is a deep learning model that shows promise in transcribing audio in several languages. It’s also a nod to open source.Read More
Cloud AI Experience is designed to enable organizations to listen and understand customers and employees by coordinating technology, interactions and touchpoints.Read More
Tesla’s Optimus robot did not dazzle robotics experts and can’t yet walk. But if the project delivers, it could give the company an edge in manufacturing.
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Major streamers are stepping back from the Twitch grind, and smaller ones fear the platform is more interested in removing features than growing audiences.