AI in the cloud
- 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.
- 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.
- February 07, 2020
Launched during the Davos World Economic Forum, IBM's Policy Lab seeks to unite governments and businesses on creating and adopting more regulation of AI.
- 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.
- 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
Microsoft's Build developer conference is set to showcase a range of new services for IoT, AI and machine learning. It's evidence of how developers' palettes and customer requirements have expanded beyond core enterprise IT scenarios.
- 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 29, 2019
Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments.
- April 19, 2019
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
- 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.
- February 22, 2019
Google upgrades its cloud-based speech and text products with higher accuracy levels, new WaveNet voice options and support for several new languages.
- February 14, 2019
OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.
- 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 14, 2018
Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.
- 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 21, 2017
Hoping to play catch-up with its web services archrivals, IBM has rolled out a raft of products and services fueled by AI and open source.
- July 20, 2016
AI systems are generating huge hype right now, which makes it imperative for businesses to understand how the technology can be deployed most effectively.