AI integration
Organizations need to update enterprise IT systems to deliver intelligent platforms. Get information about how to integrate AI technologies, such as speech recognition and natural language generation, into existing systems to deliver intelligence platforms across the enterprise.
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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.
AI integration News
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December 12, 2019
12
Dec'19
DataRobot acquisition of Paxata adds data prep to AI platform
By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric.
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November 07, 2019
07
Nov'19
Booz Allen releases Modzy AI platform and marketplace
Booz Allen Hamilton introduced an AI platform and marketplace made for uploading, deploying and managing AI models across a scalable environment.
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October 22, 2019
22
Oct'19
New tools add AI power to Teradata Vantage platform
Teradata unveiled Vantage Analyst and Customer Experience, two new tools now part of the vendor's analytics platform, on Tuesday at its user conference in Denver.
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October 17, 2019
17
Oct'19
DataRobot machine learning boosts MicroStrategy AI
Under a new partnership, MicroStrategy customers can use automated machine learning models from DataRobot for predictive, AI-based analytics.
AI integration Get Started
Bring yourself up to speed with our introductory content
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Data visualization process yields 360 AI-driven analytics view
Data visualization tools find increasing uses as part of AI processes to explore data in the initial stages of model development and make outputs easier to digest. Continue Reading
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8 factors that make AI storage more efficient
AI workloads need storage optimized for performance, capacity and availability. Discover everything you'll want to consider when planning storage for AI applications. Continue Reading
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AI, blockchain and IoT convergence improves daily applications
IT pros may find IoT, blockchain and AI difficult to conceptualize as individual technologies, but together, the three can generate data, improve analysis and establish trust. Continue Reading
Evaluate AI integration Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Intelligent storage addresses enterprise data dilemmas
Intelligent data storage use is steadily on the rise, as storage demands become more complex and vendors begin to incorporate AI technology into their offerings. Continue Reading
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Evaluate your machine learning and AI data storage requirements
Learn how your business can use high-performance and long-term data storage to address data storage requirements for its AI and machine learning workloads. Continue Reading
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Leading storage for AI tools address workload capacity, performance
Today's AI storage platforms provide organizations stand-alone and prepackaged products designed to address the data storage and capacity needs of their AI workloads. Continue Reading
Manage AI integration
Learn to apply best practices and optimize your operations.
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Engage employees for successful enterprise AI strategy creation
Existing employees are in the best position to suggest process improvements through automation, and executives need to utilize the employee experience to drive AI strategy. Continue Reading
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AI in networking helps keep systems running
Network administrators are increasingly using AI tools to help them manage the growing complexity of their network infrastructure, a task that's getting more complicated by the day. Continue Reading
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AI sharpens unified endpoint management tools and apps
Endpoint management is never simple, but AI can help. In this handbook, learn how AI in UEM tools can significantly improve device security and management. Continue Reading
Problem Solve AI integration 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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Serverless machine learning reduces development burdens
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
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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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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