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Iternal Technologies and Vcinity announce a partnership to amplify Vcinity revenue growth thru GenAI hyper-personalization to transform customer engagement.

With the ever-growing demand for content and sets and production studios spanning the globe, the need to transfer large volumes of high-resolution media quickly and securely has never been more critical.

In today’s fast-paced digital world, time is an asset. We’re obsessed with speed—faster internet connections, quicker downloads, and instant responses.

Blog: Goodbye, Data Tradeoffs

Data creation is at an all-time high. There's so much data, from increasingly diverse and dispersed locations and data sources. So many opportunities to use it. And so often, where the data needs to be used is far away from where it currently sits.

Data movement. The art and science behind moving data through the power of technology. An essential part of how modern businesses operate, the movement of data can encompass the replication, synchronisation and effective storage of company data.

Modern enterprises and agencies manage enormous amounts of data—often widely dispersed across their organizations, which can pose hurdles regarding cost, security, and time.

The phrase “data is the new oil” has been around for years... and with that, an assumption that you want all the data. The market talks a lot about how to get all that data... from everywhere. Yet, as organizations and agencies seek to collect more and more data to use more and more data.

As the AI rage continues to seize industries by storm, so does the growing awareness of just how much it is going to play a pivotal role in our everyday lives. However, along with this new-found awareness comes questions—basic ones, like: are my outputs correct? How can I confirm I’m taking action based on the right intel? One of the greatest criterions for accurate outputs is the diversification data inputs---which are often themselves, dispersed. Essentially, “what” and “how” much data are you feeding your AI beast before asking it to come up with an output?

Artificial intelligence (AI) and machine learning (ML) have already captured the attention of the world.

Generative AI (Gen AI) is increasingly at the forefront of discussions in numerous industries, not least among data scientists.

What do the manufacturing, energy, marketing, retail, medical, and telecommunications industries have in common? They all use generative AI/ML to enhance organizational efficiencies, improve insights, and facilitate faster decision-making.

Large scale data orchestrator Hammerspace is using Vcinity’s high-speed remote data movement technology to overcome data gravity.