- June 26, 2020
With Databricks and MLflow, an Argentinian bank modernized its infrastructure, increased customer retention and better managed its machine learning models.
- June 23, 2020
Virgin Hyperloop turned to Databricks to horizontally scale out and speed up its processes as it works to create a new form of transportation.
- May 29, 2020
Enterprises should focus on automation to augment their workforces as they recover from the COVID-19 economic downturn, and not lose sight of larger digital transformation projects.
- May 15, 2020
News at the IBM Think 2020 digital conference focused on paths to modernization -- including advanced AI and automation -- IoT, hybrid cloud infrastructure and cybersecurity.
- May 14, 2020
Designed for demanding AI and data science workloads, Nvidia's new A100 processor is a powerhouse, but it's also power-hungry and high-heat-producing.
- May 14, 2020
Intel reveals new investments in 11 startups focused on AI, automation and chip design as the tech giant ramps up its efforts in the AI hardware market.
- May 05, 2020
Launched during IBM Think 2020 amid the coronavirus pandemic, IBM's Watson AIOps aims to use AI to help CIOs more quickly and efficiently keep their networks running.
- April 30, 2020
The Nvidia acquisition of Mellanox will improve its GPU and AI infrastructure products, but it's not likely to give the company a significant edge in the competitive AI market.
- April 23, 2020
PyTorch 1.5 introduces TorchServe, a model serving library, and TorchElastic, a Kubernetes controller. Both applications are still in experimental mode.
- April 16, 2020
Using model operations (ModelOps), a fintech startup was able to scale up its model deployment quickly, while also maintaining model governance at scale.
- February 04, 2020
Intel said it is ending development of its Nervana AI processors. The tech vendor will instead focus its efforts on its Habana Labs processors, which it acquired last year.
- January 29, 2020
Big Blue rolled out another member of its IBM Power9 server family targeted at corporate users who are ready to move beyond the training phase of their AI projects to the deployment phase.
- December 20, 2019
The past 10 years have seen a surge of new AI vendors, and the trend isn't likely to end anytime soon, as investors continue to pour money into artificial intelligence.
- December 16, 2019
By purchasing Habana Labs, an AI hardware startup, Intel now has a more diverse AI portfolio in a quickly growing multi-billion-dollar hardware market.
- December 12, 2019
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge.
- December 03, 2019
New SageMaker tools from AWS to open up machine learning models by making it easier for non-expert developers make, run, monitor and debug machine learning models.
- December 03, 2019
With Kendra, a new cognitive search tool from Amazon, enterprise users can more easily query their data. The tool uses machine learning and NLP to understand context, according to AWS.
- November 05, 2019
At Microsoft Ignite, the tech giant released new updates to ease RPA and AI building across its Power Platform, as well as new capabilities for Cortana within Microsoft 365.
- October 30, 2019
With the new TensorFlow for enterprises, organizations running previous versions of TensorFlow can get long-term support, including security updates and select bug fixes.
- October 17, 2019
Under a new partnership, MicroStrategy customers can use automated machine learning models from DataRobot for predictive, AI-based analytics.
- October 03, 2019
The U.S. government is ramping up AI research and development efforts to try to stay ahead of China in both public and private sector AI efforts.
- September 27, 2019
Modular AI enables customers to deploy AI as it applies to individual use cases, creating a more focused, open, and cheaper overall AI system and strategy.
- August 27, 2019
The Chinese technology vendor Huawei aims to speed up AI training times with the launch of a new processor in China and a new AI computing framework.
- August 15, 2019
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
- 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.
- May 02, 2019
Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration.
- April 10, 2019
Google's newly unveiled AI Platform offers AI developers a collaborative environment to test, train and deploy machine learning and deep learning models.
- April 08, 2019
IBM has delivered a low-cost workstation tuned to work hand in hand with its Power AC922 server to lower the bar of entry for AI application development.
- March 06, 2019
Google AI, the AI research and development team at Google, made GPipe a framework for building large-scale and accurate deep neural networks open source.
- January 11, 2019
Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.
- July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
- March 10, 2015
Machine learning techniques are far from new. What is new, however, is the number of parallelized data processing platforms available for applications of big data.