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AI

The Future of Testing is Intelligent - Diego Lo Giudice, Forrester Research

Slowly but surely, artificial intelligence (AI) and machine learning (ML) are becoming an active part of our daily lives, shaping, for better or worse, the technologies and applications we use each and every day. We already know that AI and ML capabilities are helping make testing solutions – and the testers that use them – more effective and efficient than ever before.

Implementing distributed model training for deep learning with Cloudera Machine Learning

Many enterprise data science teams are using Cloudera’s machine learning platform for model exploration and training, including the creation of deep learning models using Tensorflow, PyTorch, and more. However, training a deep learning model is often a time-consuming process, thus GPU and distributed model training approaches are employed to accelerate the training speed.

Allegro AI Becomes NVIDIA DGX-Ready Software Program Partner

May 14, 2020 — Allegro AI today announced that it joined the NVIDIA DGX-Ready Software program. Organizations that want to leverage AI to improve products and services often struggle to implement an advanced infrastructure that supports the unique and challenging demands of machine learning and deep learning.

Machine learning in production: Human error is inevitable, here's how to prepare.

You did it. You have machine learning capabilities up and running in your organization. Success! What started as a few nascent experiments (and maybe a few failures) are now carefully constructed models racing along in full production—with the ability to scale into the hundreds or thousands of productional models in sight. Assembling your expert team of data scientists and custodians seems like a distant memory. Now you’re looking ahead to the future—growth, innovation, revenue!