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AI in the cloud News
September 15, 2021
DataRobot unveiled its cloud, giving users access to technologies and applications the vendor obtained with a series of recent and older acquisitions.
August 31, 2021
Investors are super confident in the growth potential for cloud data management and analytics as the impact of the Snowflake IPO continues to ripple through the industry.
July 27, 2021
Bringing mainframes deeper into the hybrid cloud mix, IBM delivered an updated version of z/OS that makes it easier for IT pros to modernize applications and improve security.
June 29, 2021
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.
AI in the cloud Get Started
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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
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
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.
AI and cloud computing work hand in hand to improve upon various processes, but the combination of these technologies comes with a price. Continue Reading
To achieve the benefits of SD-WAN automation -- such as improved QoS, reduction of human error and faster operations -- API integration, machine learning and AIOps are a must. Continue Reading
Building an artificial intelligence infrastructure requires a serious look at storage, networking and AI data needs, combined with deliberate and strategic planning. Continue Reading
Manage AI in the cloud
Learn to apply best practices and optimize your operations.
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
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
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.
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
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 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