AI Infrastructure: Page

Siemens forges digital twin deal with Nvidia for metaverse

The industrial powerhouse partners with AI hardware/software vendor Nvidia on digital twins, a metaverse technology increasingly used in industrial and manufacturing settings.

By Shaun Sutner • June 30, 2022

DataRobot AI hits Google Cloud Marketplace, adds GitHub

The AI vendor puts its products on Google Cloud Marketplace and integrates with GitHub and other major online platforms including Sumo Logic, Splunk, Datadog and Zendesk.

By Shaun Sutner • June 7, 2022

knowledge engineering

Knowledge engineering is a field of artificial intelligence (AI) that tries to emulate the judgment and behavior of a human expert in a given field.

By Ben Lutkevich • May 12, 2022

Nvidia shows updated AI, omniverse tools for enterprises

Software is the engine that powers many of the AI hardware and software giant's systems, including a new computing system for the omniverse, according to CEO Jensen Huang.

By Esther Shittu • March 23, 2022

DataRobot aims AI Cloud 8.0 at ‘unpredictable market’

The updated platform enables organizations to adapt to fast-changing market conditions and perform continuous AI operations. The platform also includes integrations with Snowflake.

By Esther Shittu • March 17, 2022

Silicon Labs launches new AI/ML chips, toolkit for edge

The chip vendor's new wireless SoC aims to bring AI and machine learning to the IoT. The systems also use the Matter IP-based protocol to wirelessly connect devices.

By Esther Shittu • Jan. 24, 2022

How cloud RPA is key to automation’s future

Companies have traditionally used robotic process automation (RPA) as on-premises software but are now embracing cloud RPA as its business benefits are outweighing the drawbacks.

By Mary Pratt • Jan. 21, 2022

Nvidia releases updates to AI enterprise suite

The AI suite includes a full integration with Tanzu, giving enterprises the flexibility to run workloads on containers and VMs. The vendor also introduced two new servers.

By Esther Shittu • Jan. 19, 2022

Machine learning on microcontrollers enables AI

Using today's advanced AI systems to run machine learning on smaller devices like microprocessors offers benefits, but also limits, which experts are working to surmount.

By George Lawton • Nov. 17, 2021

How to build scalable edge AI systems

A look at the different challenges enterprises and vendors face in this new arena, and some of the different ways the merging technology can be applied, including in healthcare.

By Esther Shittu • Nov. 16, 2021

DataRobot introduces AI Cloud for Industries

The independent AI vendor has created a taxonomy for specific industries by building out its AI Cloud platform on which customers can take advantage of industry-specific services.

By Esther Shittu • Nov. 15, 2021

Nvidia intros AI Omniverse Avatar generator for enterprises

Nvidia CEO Jensen Huang, in a conference keynote, promotes a host of new and updated tools and technologies, highlighted by an AI avatar maker for enterprises.

By Esther Shittu • Nov. 9, 2021

Oracle Cloud Infrastructure gets an AI boost

The vendor added AI services to its public cloud. The prebuilt machine learning algorithms enable users to automate language, speech, vision, anomaly detection and forecasting.

By Shaun Sutner • Nov. 3, 2021

Teradata and H2O.ai partner on multi-cloud platform

The partnership between the open source AI vendor and veteran data service provider demonstrates the emphasis enterprises are now placing on the data in their AI systems.

By Esther Shittu • Oct. 26, 2021

Google Cloud, Hologic use AI tools to fight cervical cancer

The tech giant and medical technology vendor are working together to make cervical cancer screening technology widely accessible to women everywhere and fight the disease.

By Esther Shittu • Oct. 14, 2021

IBM introduces Environmental Intelligence Suite

The tech giant said the new software suite from its weather subsidiary will help organizations prepare for climate risk and weather disasters such as wildfires and flooding.

By Esther Shittu • Oct. 11, 2021

Capitalizing on the many artificial neural network uses

Neural networks have many use cases. Businesses interested in using AI should consider both the challenges and potential gains of deploying neural nets.

By Benjamin St. George • Sept. 28, 2021

SambaNova makes a mark in the AI hardware realm

The startup says it is innovating AI hardware systems with its data flow architecture that enterprises can use to be more efficient when processing large AI data sets.

By Esther Shittu • Sept. 23, 2021

DataRobot AI Cloud gives users multi-cloud capabilities

DataRobot unveiled its cloud, giving users access to technologies and applications the vendor obtained with a series of recent and older acquisitions.

By Esther Shittu • Sept. 15, 2021

AI hardware and software: The key to eBay’s marketplace

At the AI Hardware summit 2021, an eBay exec discusses how its similarity system enables it to build an AI-driven marketplace for better latency and throughput.

By Esther Shittu • Sept. 14, 2021

Nvidia partners with Google Cloud to boost AI for 5G app dev

Nvidia continues its aggressive push into both the AI and 5G markets, partnering with Google Cloud to aid in development of AI apps for the data center to the edge.

By Ed Scannell • June 29, 2021

Nvidia extends its AI reach with cloud development hub

Nvidia debuted a development platform to speed the development and delivery of AI projects, along with a monthly subscription plan that allows access to its DGX SuperPod servers.

By Ed Scannell • June 2, 2021

Designing and building artificial intelligence infrastructure

Building an artificial intelligence infrastructure requires a serious look at storage, networking and AI data needs, combined with deliberate and strategic planning.

By Bob Violino • May 24, 2021

Google Cloud debuts Vertex AI managed ML platform with MLOps

Users can build, test and deploy machine learning models and put them in production faster with Google Cloud's Vertex AI platform, which contains new and existing Google AI tools.

By Shaun Sutner • May 18, 2021

Addressing 3 infrastructure issues that challenge AI adoption

One of the biggest problems enterprises run into when adopting AI infrastructure is using a development lifecycle that doesn't work when building and deploying AI models.

By George Lawton • May 14, 2021