The Woz on IT Trends and the Future of Data Management

The Woz on IT Trends and the Future of Data Management

Posted in tech

In a StorageNewsletter interview this fall, Steve Wozniak, founder of Apple and Primary Data Chief Scientist, revealed his thoughts on the IT top trends facing modern enterprises. As we head into 2018, let’s look into Woz’s crystal ball for insight on what might help your IT team find success in the new year.

Fixing Storage’s Biggest Problems

It’s no surprise that Woz wants to help people understand the biggest problems in the storage industry and tackle them by making complexity simple. To him, “what is missing in storage and data management today is visibility, mobility, and automation - across different storage systems.”

The inability to automate data management across heterogeneous storage is a key source for many of IT’s biggest pain points, which is emphasized in a recent survey that confirms most IT professionals’ common pain points are performance, migrations, budget and cloud adoption. We’re proud to work with the Woz at Primary Data to cure this pain with the ability to move data seamlessly across different storage systems, getting the right data to the right place at the right time.

Cloudy Machines Ahead?

Asked about key trends and market drivers, the Woz cites two trends specifically: cloud storage, followed by machine learning. As enterprises seek to advance cloud initiatives, even taking a “cloud-first” mentality, the ability to manage data across file and object storage will be key to increasing agility while reducing costs.

With DataSphere, enterprises are leveraging machine learning with automated data management to move data intelligently across on-premises file and object storage into the public cloud. This enables enterprises to handle the inundation of data they are experiencing as a result of phenomena such as the IoT (Internet of Things) and Big Data analytics.

The Woz notes how getting the right data to the cloud helps enterprises by analyzing metadata activity to see how active or inactive data is - at the file level - and then moving the right data to the cloud, transparently to applications. When it comes to machine learning, Woz adds that DataSphere’s machine learning capabilities are also helping enterprises analyze metadata to gain intelligence about patterns in when data cools off, and when it heats up.

In fact, Primary Data partners, such as NetApp, HGST, and Scality are actively using DataSphere to create solutions that add automated, intelligent data management to their diverse and rich portfolios.

You can read the full interview on Storage Newsletter. To learn more about how DataSphere delivers intelligence and control to help your enterprise fix data management problems, connect with us at

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