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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May 17, 2019
17
May'19
HPE-Cray deal brings supercomputers to enterprises for AI
HPE's $1.3 billion deal to acquire supercomputing pioneer Cray Inc. should better position the company in the HPC market among IT shops looking for added muscle to run AI workloads.
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May 07, 2019
07
May'19
Google's Cloud TPU v2, v3 Pods accelerate ML training
For the first time, Google Cloud TPU Pods are available in public beta, enabling machine learning developers and engineers to more quickly deploy and train models.
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May 02, 2019
02
May'19
Microsoft AI services roadmap to be delivered at Build
Microsoft's Build developer conference is set to showcase a range of new services for IoT, AI and machine learning. It's evidence of how developers' palettes and customer requirements have expanded beyond core enterprise IT scenarios.
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May 02, 2019
02
May'19
ShopRunner uses Databricks for machine learning in retail
Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration.
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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3 rules for succeeding with AI and IoT at the edge
Edge computing, IoT and AI can be confusing terms individually; combine the three and confusion only grows. Learn three key rules for deploying AI and IoT at the edge of your network. Continue Reading
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Computer vision tools reach into test, healthcare, security
Gaining a reputation as a viable technology in niche applications like X-ray scans, fingerprint matching and robotics, computer vision looks to mainstream, commodified apps. Continue Reading
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AI at the edge spurs decentralization, IoT interconnectivity
As AI spreads into most enterprises, it's imperative that devices or programs can make immediate smart decisions. Localized AI at the edge is aiming to tackle the lag. Continue Reading
Manage AI infrastructure
Learn to apply best practices and optimize your operations.
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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 AI services and prepare for some of the challenges you can expect to face and how to overcome them. Continue Reading
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Data scientists urged to take AI security threats more seriously
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 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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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
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There's time and place for SMBs to adopt SaaS-based ERP
SMBs face many issues when implementing SaaS ERP operations versus on-premises, plus the fact that one size cloud-based ERP platform doesn't necessarily fit all companies. Continue Reading