Data sovereignty is one of the hottest topics of conversation right now for businesses looking to transition to the cloud, and it is not going away any time soon. Unfortunately, some organizations feel that data sovereignty doesn’t affect their businesses. But this is where they might have miscalculated.
Of all the data that is available to us, only 20% [1] of it is in a structured or in a pre-defined format. The remaining 80% of the data is in an unstructured form, with most of it being textual data. The lack of structure increases complexity and makes it challenging to process data, find patterns, and apply analytics in a meaningful way. Some examples of unstructured data are documents, audio files, images, and videos. Many sources on the Internet, such as social media and news sites, create massive amounts of unstructured data.
IT is in a state of change on a consistent basis, but never more so than now. With the increasing importance of the digital customer experience across all industries, technology is at a new inflection point in how it can fundamentally impact executive priorities. And while nobody can speak for the direction of IT as a whole, there are a few resources so comprehensive that they’re worth reviewing when they’re released.
Hello, and welcome to the next edition of the BriefingsDirect Voice of the Customer podcast series. I’m Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator for this ongoing discussion on digital transformation success stories.
Backup and recovery solutions are designed to protect your organization, but sophisticated malware like Locky and Crypto-ransomware are now targeting your backup data. Not surprising, considering the rise in frequency and breadth of ransomware attacks. The first ransomware payment—circa 1989—set the stage for hackers everywhere to begin locking up the data of unsuspecting targets and holding it until owners paid to get it back.
Any article on Artificial Intelligence (AI) will point out that trying to address an AI problem requires large amounts of data to deliver meaningful results. To train the data into a usable AI model, a massive amount of compute capacity is needed. On top of that, it is challenging to find resources from a limited pool of people with skills that are in high demand. Putting all the pieces together is costly and time-consuming.
Although it’s exciting to be part of a growing business, rapid growth can be challenging. That’s because as a business grows, it encounters different problems that demand new solutions. Processes and tools that worked in the past may not be ideal for the future.
A Note from Connect Worldwide’s President, Navid Khodayari.
“The lead car is absolutely unique, except for the one behind it which is identical.” —Murray Walker Welcome to the Fall edition of Connect Converge Welcome back, we are glad you are here! With this issue, we are pleased to roll out the new look and feel of Connect…