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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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.

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AI integration News

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.
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.
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.
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

Ignoring infrastructure leads to major challenges for AI adoption

While companies are stuck in the research phase of AI, a few simple infrastructure analyzations can jumpstart the process -- and ensure successful deployment. Continue Reading
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
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

Evaluate AI integration Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

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
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
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.

The rising use of AI in the energy sector

The energy industry has begun to ramp up the adoption of AI with the usage of smart grids among other technologies and has seen the benefits of the technology. Continue Reading
5 ways a chatbot for the contact center can help workflow

AI and chatbot technology are constantly changing and gaining capabilities. Companies need to determine how to best use chatbots for their contact centers. Continue Reading
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

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.

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
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
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