Data Protection & Compliance – #CloudTalks with NetApp’s Martin Warren LIVE from Cloud Expo

In this episode of #CloudTalks, Compare the Cloud speaks with Martin Warren from NetApp about the importance of recognising the long-term value of corporate data.

After reviewing the many interviews filmed at Cloud Expo Europe 2016, Martin Warren was awarded the Cloud Talks trophy for the best interview of the day.

#CloudTalks

Throughout the world, leading organisations count on NetApp for software, systems, and services to manage and store their data. They help enterprises and service providers envision, deploy, and evolve their IT environments. Customers also benefit from NetApp’s open collaboration with other technology leaders to create the specific solutions they need.

+ posts

Meet Stella

Newsletter

Related articles

Strategy and anticipation are key to securing against cyber threats

With technological progress comes increased security risks. Sophisticated and co-ordinated cyber groups are working every day to find potential entry points into organisations’ networks.

Raising talent attraction and retention with IT investment

To be at the centre of talent attraction and retention, businesses should make use of workplace technology that enables them to integrate collaborative, secure and sustainable measures into their operations.

How NIST started the countdown on the long journey to quantum safety

Leading the charge to develop a post-quantum cryptographic standard for organisations is the US government’s National Institute of Standards and Technology (NIST).

Overcoming economic uncertainty with cloud flexibility

Particularly for companies that jumped into the cloud headfirst, taking the time to optimise existing processes is a remarkable way to reduce infrastructure costs and free up OPEX for delivering business value.

“The need for speed” – Finding a way to unlock agility for today’s businesses 

To fully support agility, the solutions chosen will need to enshrine all the latest innovations in areas like artificial intelligence, machine learning or prescriptive analytics.

Subscribe to our Newsletter