Media Mentions

Generative AI (GenAI) and next-gen data protection are driving new and interesting conversations about what enterprises will do with their storage infrastructure in the new year to accommodate these significant developments.

The intersection of business value and technical value has become an anchor of enterprise storage. This convergence changes the way enterprise IT buyers look at the choices they make for their enterprise’s storage needs. Charting the attributes of each “value” proposition creates a multidimensional view into the integrated merits of enterprise storage. If you plot business value on the X axis and technical value on the Y axis, what would that look like?

Cyberattacks, such as ransomware and malware, continue to wreak havoc on enterprises. According to The Veeam Ransomware Trends Report 2024, based on a survey of 1,200 CISO, security professionals and backup administrators who experienced a ransomware attack in 2023, 43% of data remained unrecoverable after ransomware attacks. In this ransomware-centric report also noted that “many organizations are unprepared to recover from an attack despite the vast majority having incident response plans and policies in place.”

Generative AI (GenAI) has found an unexpected “partner” in a type of information technology that CIOs tend not to prioritize for AI – enterprise storage. Because data is central to the activation and guidance of GenAI, the storage infrastructure that stores all of an enterprise’s data has taken on a new role as the foundation for retrieval-augmented generation (RAG).

Time and again, superior customer service is proven to be one of the most powerful ways to boost business revenue and profitability. Extensive research backs this up and demonstrates the impact it has on increasing customer lifetime value and building stronger loyalty. For instance, over 80% of customers reported that receiving value during a service experience makes them more likely to repurchase, even when given a chance to switch to a competitor.

Storage array maker says customers can get data from any NFS storage to use in RAG for internal enterprise AI projects, and claims its OS metadata expertise enables this

Eric Herzog of Infinidat describes how the company's recently launched InfiniSafe Automated Cyber Protection offering can help prepare your business for cyberattacks

In the early days of enterprise storage, how to back up 1TB of data over 200 systems with a 10Mb/s network presented as a huge challenge. Fortunately, technology has evolved, and while tremendous challenges still exist, at least in storage it’s not how data is protected that presents the challenge, but more importantly, how safely and accurately data can be recovered when faced with the extraordinary challenges which cyber-criminals bring to the ever-changing challenge of enterprise storage.

Infinidat, a provider of enterprise storage solutions, has introduced new Retrieval-Augmented Generation (RAG) workflow deployment architecture to enable enterprises to fully leverage generative AI (GenAI).

Storage array supplier Infinidat has devised a RAG workflow deployment architecture so its customers can run generative AI inferencing workloads on its InfiniBox on-premises and InfuzeOS public cloud environments.