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.

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AI integration News

May 05, 2020 05 May'20
IBM's Watson AIOps aims to help networks run smoothly

Launched during IBM Think 2020 amid the coronavirus pandemic, IBM's Watson AIOps aims to use AI to help CIOs more quickly and efficiently keep their networks running.
February 28, 2020 28 Feb'20
Rubrik acquisition enhances vendor's artificial intelligence

Rubrik, which uses artificial intelligence in ransomware detection and governance offerings, bought additional AI technology for more proactive data management assistance.
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.

AI integration Get Started

Bring yourself up to speed with our introductory content

6 key AI data storage questions answered

Want to know what to watch for when planning storage for AI workloads? Find out the key considerations and challenges for dealing with the complexities of AI. Continue Reading
How to overcome 4 major challenges in 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

Evaluate AI integration Vendors & Products

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

Cloud computing for machine learning offers on-demand tools

Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology. Continue Reading
How AI is changing the storage consumption landscape

Deep learning, machine learning and neural networks are drastically changing how storage is consumed. Find out why this is happening and what products are helping meet this need. Continue Reading
AI use cases in banking create opportunities, improve systems

AI has become increasingly more common in the banking industry and has found a home sifting through data, improving back-end systems and assisting with customer service. Continue Reading

Manage AI integration

Learn to apply best practices and optimize your operations.

3 tips for getting AI system integration right

Enterprises are rushing to implement AI right now, but they shouldn't overlook the importance of thoughtfully integrating these technologies into their existing processes. Continue Reading
How to identify projects that create AI business value

When AI projects lead with technology, they rarely have a business impact. Instead, business leaders should target projects to make a meaningful improvement in processes. Continue Reading
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

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.

7 last-mile delivery problems in AI and how to solve them

Enterprises are discovering it's easier to build AI than it is to integrate it into existing processes. We examine seven 'last-mile' deployment problems when delivering AI. Continue Reading
Supercomputer consortium powering COVID-19 treatment research

Supercomputers, AI and high-end analytic tools are each playing a key role in the race to find answers, treatments and a cure for the widespread COVID-19. Continue Reading
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