AI in the cloud
Artificial intelligence cloud service providers constantly add new features, and the updates can be hard to keep track of. Stay up to date on AI in the cloud, including machine learning as a service offerings, AI cloud comparisons, expert tips and news on enterprise cloud AI services.
New & Notable
AI in the cloud News
-
March 04, 2021
04
Mar'21
Edge AI brings new uses to IoT devices
A Lenovo executive describes AI at the edge, highlighting how this rapidly advancing technology unlocks new automations and capabilities within IoT devices.
-
March 02, 2021
02
Mar'21
Microsoft brings Azure AI to the edge with Azure Percept
Azure Percept includes software for building machine learning models or deploying pre-built models, as well as hardware to deploy the models at the edge.
-
February 26, 2021
26
Feb'21
HPE acquires CloudPhysics, targets cloud migration projects
Hoping to up its visibility in the cloud computing market, HPE acquired CloudPhysics this week in hopes of simplifying cloud migration projects by leveraging AI.
-
December 17, 2020
17
Dec'20
Emerging AI startups to look at in 2021
AI startups in the legal, MLOps, NLP and data training markets make this year's list of emerging AI vendors to look out for.
AI in the cloud Get Started
Bring yourself up to speed with our introductory content
-
Understanding motion analytics, where it is and where it's going
Machine learning is helping make motion analysis more usable for the average enterprise, creating new use cases and applications that can drive value. Continue Reading
-
AI as a service democratizes benefits of new tech tools
The emergence of AI-as-a-service tools is helping more enterprises access the benefits of AI, not just the leading-edge tech companies that pioneered the technology. Continue Reading
-
GPU cloud tools take complexity out of machine learning infrastructure
While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading
Evaluate AI in the cloud Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
-
In-depth guide to machine learning in the enterprise
Enterprises are adopting machine learning technologies at rapid rates. In this machine learning guide, we break down what you need to know about this transformative technology. Continue Reading
-
6 AIOps security use cases to safeguard the cloud
Explore six AIOps security use cases in cloud environments, such as threat intelligence analysis and malware detection, as well as expert advice on implementation considerations. Continue Reading
-
Bayesian networks applications are fueling enterprise support
Cloud-based infrastructure has opened the door for enterprises to take advantage of the versatile predictive capability of Bayesian networks technology. Continue Reading
Manage AI in the cloud
Learn to apply best practices and optimize your operations.
-
Finding the balance between edge AI vs. cloud AI
Centralized cloud resources allow AI to continuously improve while edge AI allows for real-time decision-making and larger models. The best approach combines them. Continue Reading
-
Are giant AI chips the future of AI hardware?
Giant AI chips like the Cerebras WSE are dazzlingly fast and could transform AI models, but how soon is the question for CIOs. Experts mull the merits of small vs. big AI chips. Continue Reading
-
Machine learning bots enable immediate paperless workplaces
Document digitization allows for the automatic extraction of data through rapid bot technology, as companies aim for a cost-effective, eco-friendly paperless workplace. Continue Reading
Problem Solve AI in the cloud Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
-
Serverless machine learning reduces development burdens
Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers. Continue Reading
-
Experts discuss pressing data science problems and solutions
Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading
-
Berklee uses SnapLogic for its AI in higher education needs
Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems. Continue Reading