AI infrastructure
Enterprises investing in deep learning platforms need AI infrastructure sufficient enough to synthesize a massive amount of data. Here, you'll find the information you need to make decisions about AI-specific compute architectures -- from GPU-packed servers to highly-scalable clustered computing systems built for big data and machine learning applications.
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Download: Free AI Buyer's Guide
We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
AI infrastructure News
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August 15, 2019
15
Aug'19
IBM, Google report advances in conversational AI training
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
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August 15, 2019
15
Aug'19
Globe and Mail's AWS migration drives digital engagement
Canadian news outlet The Globe and Mail has broadly adopted AWS cloud services in a bid to increase reader engagement and digital subscription revenue.
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July 26, 2019
26
Jul'19
AI hardware demands drive biggest server, chip deals in 2019
Many top-tier server hardware suppliers redoubled their efforts to deliver products such as supercomputers to capture a piece of the AI and machine learning hardware market.
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June 04, 2019
04
Jun'19
NASCAR revs up video archive with AWS AI
NASCAR will convert and optimize its 18 PB library of race footage with AWS AI and other services to serve broadcast partners and fans in an era driven by consumer app experiences.
AI infrastructure Get Started
Bring yourself up to speed with our introductory content
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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
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AI for customer experience powers gains at enterprises
Customer experience is growing more central to enterprises' digital strategies, and AI is increasingly driving much of their engagement and retention efforts. Continue Reading
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AI use in healthcare ramps up for app maker Cognoa
Applications of AI in healthcare have been relatively restricted due to regulatory and data challenges, but one startup is finding ways to make AI effective. Continue Reading
Evaluate AI infrastructure Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Choosing the right chip foundation for AI-optimized hardware
Every enterprise is trying to implement AI and machine learning in their enterprise. But, before AI, before clean data and before platform comparison, enterprises need to find the best hardware to support AI. Continue Reading
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Key considerations for operationalizing machine learning
Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises. Continue Reading
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Wayfair takes a dip into NLP image processing technology
At Wayfair, using computer vision and NLP to understand the meaning behind images and searches is the key to customer recommendation, satisfaction and easy substitutability. Continue Reading
Manage AI infrastructure
Learn to apply best practices and optimize your operations.
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GPU analytics speeds up deep learning, other data insights
GPU-based systems have become a popular platform for deep learning applications, and they're now also being used to accelerate analysis of IoT and geospatial data. Continue Reading
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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
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How do I integrate cloud AI APIs into existing apps?
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
Problem Solve AI infrastructure Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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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
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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
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AI for accessibility helps people with disabilities
AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life. Continue Reading