Machine learning platforms
Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from projects.
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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.
Machine learning platforms News
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August 09, 2019
09
Aug'19
IBM interprets machine models with AI Explainability kit
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.
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August 07, 2019
07
Aug'19
HPE acquires MapR storage layer for AI, containers
MapR storage technology gets a new lease on life from HPE, which plans to integrate the AI data management features with recently acquired BlueData container-as-a-service platform.
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August 06, 2019
06
Aug'19
HPE buys MapR assets to fuel AI applications
Longtime independent big data vendor MapR goes out of business, selling technology and intellectual property to HPE. The move marks the continuing decline of the Hadoop market.
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July 02, 2019
02
Jul'19
Open source machine learning accelerates winemaking
Using open source machine learning, Palmaz Vineyards developed a tool to automatically alert winemakers of environmental conditions. Soon, the data flowed like wine.
Machine learning platforms Get Started
Bring yourself up to speed with our introductory content
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Machine learning platform architecture demands deep analysis
This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications. Continue Reading
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How pattern matching in machine learning powers AI
Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications. Continue Reading
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Computer vision AI looks beyond the narrow into the mainstream
This handbook looks at computer vision in the enterprise, with examples of business applications and advice on deploying systems that incorporate the AI technology. Continue Reading
Evaluate Machine learning platforms Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Causal deep learning teaches AI to ask why
Most AI runs on pattern recognition, but as any high school student will tell you, correlation is not causation. Researchers are now looking at ways to help AI fathom this deeper level. Continue Reading
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Machine learning for data analytics can solve big data storage issues
Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges. Continue Reading
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Machine learning for data storage optimizes data analysis
Manage Machine learning platforms
Learn to apply best practices and optimize your operations.
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How machine learning in data centers optimizes operations
Machine learning can help manage your data center more efficiently and address power consumption concerns and hardware maintenance. Today's tools make implementation easy and effective. Continue Reading
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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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Cloud cost implications of the 5 V's of big data
Moving analytics to the cloud opens a lot doors for users, but only if they keep costs in check and understand the 5 V's of big data -- volume, variety, velocity, veracity and value. Continue Reading
Problem Solve Machine learning platforms 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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Mastercard CTO talks AI for fraud prevention, data and hiring
Kush Saxena, CTO of Mastercard, answers three questions about his company's use of AI fraud prevention technology, machine learning and driving commercial value from data at the MIT CIO Symposium. Continue Reading
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How to solve the black box AI problem through transparency
Ethical AI black box problems complicate user trust in the decision making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
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Clean data for machine learning is key to successful AI
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI. Continue Reading