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AI integration News
December 12, 2019
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.
November 07, 2019
Booz Allen Hamilton introduced an AI platform and marketplace made for uploading, deploying and managing AI models across a scalable environment.
October 22, 2019
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.
October 17, 2019
Under a new partnership, MicroStrategy customers can use automated machine learning models from DataRobot for predictive, AI-based analytics.
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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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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
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
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
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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
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
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
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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
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