Machine learning modeling
- August 09, 2019
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.
- June 20, 2019
DataRobot machine learning tools should see a boost following the company's acquisition of ParallelM, a startup with tools for deploying, managing and monitoring AI.
- June 04, 2019
Nuxeo Insight Cloud is an AI platform that enables an enterprise to use its own data with machine learning models to improve accuracy by being enterprise-specific.
- May 07, 2019
For the first time, Google Cloud TPU Pods are available in public beta, enabling machine learning developers and engineers to more quickly deploy and train models.
- April 25, 2019
Databricks' MLflow gets support from Microsoft and new features, including easier model tracking, as the open source tool prepares for its 1.0 release next month.
- April 17, 2019
Splice Machine's AI management software ML Manager, shown at Spark + AI Summit 2019, enables users to update their machine learning models with up-to-date data from varied sources.
- February 26, 2019
The DataRobot acquisition of Cursor will see DataRobot incorporate unified search and data collaboration tools into DataRobot's automated machine learning platform.
- December 07, 2018
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.
- August 13, 2018
A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model.
- June 08, 2018
Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.
- March 02, 2018
New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.
- July 17, 2017
The chief data officer's next challenge may be to find storytellers who can explain machine learning for data science to decision-makers in the organization.