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AI in the cloud News
June 26, 2020
With Databricks and MLflow, an Argentinian bank modernized its infrastructure, increased customer retention and better managed its machine learning models.
June 23, 2020
Virgin Hyperloop turned to Databricks to horizontally scale out and speed up its processes as it works to create a new form of transportation.
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.
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
Weigh the pros and cons of technologies, products and projects you are considering.
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
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
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