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.

October 08, 2020 08 Oct'20
Nvidia adds DPUs to GPU lineup for artificial intelligence apps

Nvidia has rolled out a new chip technology that supplements its GPUs, along with a new development kit and architecture to create more capable AI-based applications.
July 31, 2020 31 Jul'20
Intuit AI, knowledge engineering help power Aid Assist

The principal product manager at Intuit talks about the company's use of machine learning, natural language processing and knowledge engineering in its new Aid Assist tool.
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.

Bring yourself up to speed with our introductory content

General AI vs. narrow AI comes down to adaptability

AI today has limited and specific applications, but the continual growth of the technology may just lead to the replication of human intelligence through general AI. Continue Reading
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

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

Reality check: Analysts check in on the AI hype cycle

AI applications still come with significant hype, but with a targeted approach, organizations can get the most out of their applications. Continue Reading
Optimal architectures for intelligent storage systems

Explore the best, most optimal architectures for intelligent storage and how these systems improve storage performance/utilization to help get more bang out of your data set buck. Continue Reading
How 5G and artificial intelligence may influence each other

5G and AI can be combined to improve the network speed, responsiveness and efficiencies of organizations in the enterprise, but the former needs more time to mature. Continue Reading

Learn to apply best practices and optimize your operations.

Building trustworthy AI is key for enterprises

Organizations need to focus on transparency in models, ethical procedures and responsible AI in order to best comply with guidelines for developing trustworthy AI systems. Continue Reading
3 keys for the implementation of AI in the enterprise

Organizations need to focus on diversity, proper scaling and augmentation capabilities when implementing artificial intelligence in order to keep the process pain-free. Continue Reading
AI in operations management relieves pressure on IT teams

AI, when combined with IT operations and DevOps teams, forms AIOps that can greatly improve how IT assets are developed, produced and managed. Continue Reading

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Backup and AI work together to enhance protection

'Artificial intelligence' might seem like a buzzword, but it can provide valuable services. Explore how backup and AI can improve protection for your organization. Continue Reading
AI security concerns keeping infosec leaders up at night

Conversations about 'AI as a solution' may overlook potentially grave AI security issues. Explore the potential infosec implications of the emerging technology in this video. Continue Reading
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