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AI in the cloud News
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.
January 31, 2020
Longtime executive Arvind Krishna will replace IBM CEO Ginni Rometty and Red Hat CEO Jim Whitehurst has been named IBM president. Analysts expect them to make AI acquisitions.
AI in the cloud Get Started
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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
As enterprise interest grows, major cloud providers continue to unveil machine learning and AI services. See how much you know about their offerings with this brief quiz. Continue Reading
Evaluate AI in the cloud Vendors & Products
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Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology. 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
GPUs are often presented as the vehicle of choice for running AI workloads, but the push is on to expand the number and types of algorithms that can run efficiently on CPUs. Continue Reading
Manage AI in the cloud
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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
Learn how to build AI into your apps with the help of cloud services and prepare for some of the challenges you can expect to face along the way. Continue Reading
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. 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