Redapt | Enterprise Infrastructure

Finance operations and organizations have the exciting opportunity to use machine learning and advanced algorithms to improve forecasting supply chain and operating efficiencies. Watch our quick...

The ability to mine a steady flow of information from sources like connected devices, photographs and videos, and social media is providing companies with new insights and opportunities. It’s also...

With the multi-cloud becoming increasingly popular among enterprises looking to achieve more flexibility while avoiding platform lock-in, robust infrastructure solutions geared toward multiple cloud...

OEM appliances is key for ISVs who are looking for an alternative, better, way to go to market. Watch our interview with Jason Zeng to learn more.

Video. Social media. Chat bots. Websites. Slide decks. Video conferencing. All unstructured data. All a potentially major headache for an industry like yours that must store hundreds to thousands of...

While 2020 didn’t bring major changes in on-premises data storage, many of the same challenges remain for enterprises. These challenges include:

Editor's Note: This blog post was originally published on September 5, 2019 and has been updated for the newest trends and information.

Companies are realizing more and more that the key to...

The numbers aren’t exactly encouraging.

According to some estimates, 90 percent of enterprise machine learning (ML) models never even make it to production.

Many large enterprises, SaaS, and hyperscale organizations continue to scale their datacenter infrastructure as demand increases for their services.

Under normal conditions, deploying new datacenter infrastructure is  complicated. Supply chain management, scheduling, travel, installation—each of these steps to get new hardware up and running...