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All things data operations in the machine learning age
Purple_Crown
Data Engineers: The New Kings and Queens of Artificial Intelligence

Data operations is the pick axe in the AI gold rush. Without the right data and the equipment to mine it, the promise of AI for many companies will be left unrealized. This is especially true for companies in finance, retail, healthcare, and more where you create value with the algorithms and analysis you do on data and not how you access and manage it. These companies would be wise to work with trusted software partners to build up their data operations teams. The data challenges that come with AI can’t be solved by more job listings. We’re going to need real technology to help our data engineering kings and queens process the next 180 zettabytes.

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Introducing Nexie: The Portable, Hand-Held Data Center

Today Nexla is announcing a solution for companies to run Machine learning models in their own data centers. Nexie is an ingenious piece of hardware designed by Nexla which brings machine learning into your own data center. The device can be powered on in any data center across the globe. Nexie can connect with existing storage solutions via multiplexed universal ports. Nexie comes with two ports, In & Out. The In port allows you to receive data, Out port outputs the results of the model. Multiple Nexies can be joined together to create portable clusters!

DataHeroicsBlog
Introducing the Industry’s First DataOps Assessment

This first-of-its-kind survey asks data engineers and other data professionals about the State of Data Operations. The resultant report will provide a snapshot of the DataOps function in today’s companies. It will explore what is working, and where improvements need to be made to help companies most effectively use their data. Immediately after taking the survey, you’ll receive an assessment your company’s current DataOps based on our model and your responses.

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What is DataOps?

In hundreds of conversations with customers, investors, and other data professionals, we’ve found that everyone believes they have heard the term before, but isn’t quite sure what it means, exactly. When asked to describe DataOps, most people intuitively understood it had something to do with moving data to the right place in the right format. To move the conversation forward, we need a clear definition we can all use. At Nexla, we believe:

DataOps is the function within an organization that controls the data journey from source to value.

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