New & Notable
AI in the cloud News
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.
December 12, 2019
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge.
December 03, 2019
New SageMaker tools from AWS to open up machine learning models by making it easier for non-expert developers make, run, monitor and debug machine learning models.
AI in the cloud Get Started
Bring yourself up to speed with our introductory content
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 increasingly interested in AI, and cloud vendors are in a race to adapt their platforms to meet those needs. See what initiatives are underway to meet the next wave of app development. Continue Reading
Enterprises are pursuing intelligent process automation to take their digital transformation and RPA applications to the next level. Here's a look at three use cases. Continue Reading
AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now. Continue Reading
Manage AI in the cloud
Learn to apply best practices and optimize your operations.
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