OPENTEXT
It is a common trend, and maybe even a human flaw, that we only seem to scrutinise technology once the thrill of using it has worn off. You only have to look at the current state of social media, the current state of network infrastructure, or the ascension of any of the “big tech” companies to see that it’s all sunshine and rainbows on the way up. Yet, once a couple of questions are asked, it’s clear that there are drawbacks to the technology being used. Although cloud technologies have obviously been around for a long time, the convenience of being able to start and run a business for a fraction of the cost has made it an all too easy technology to invest in without considering all the issues at play. With cloud computing embedded into most modern business, data sovereignty has become a topic of interest for many, so they are able to answer any questions customers might have, and stay on the right side of punitive regulations. “For years, enterprises have been thinking about where they put their public and private data,” said Shannon Bell, Chief Digital Officer and CIO at OpenText. “We’ve seen this in the EU over many years with data protection regulation, people are concerned about what data is being stored, where is is, how is it being used and who’s operating on it, so it’s really not a new concept. “With that being said, the discussion about sovereignty has gained pace with geopolitics and what’s happening in the world. For me, the sovereignty discussion is about knowing what you’re deploying, where it is, who’s using it, how you want it to be used. But more importantly, in the age of AI, where is that AI living? How is it using your data? And what are you doing to protect your enterprise? “If you think about public and private data sets, 80% of the data most enterprises create could logically sit in public hyperscalers, in the public domain. There’s probably 10 to 20% of their data that truly needs to be protected. For years people have made a choice about deploying on-premises or protecting that data, now with sovereignty, there are options around how you’re protecting that data in a public hyperscaler, as an example.”
Shannon Bell
opentext.com
For years, enterprises have been thinking about where they put their public and private data “
Heart of the Matter The question of AI is one we can not get away from. But while the providers pitch it as a great tool and ‘experts’ warn it will take over the jobs market, the anecdotal evidence I hear from those who try to use AI said it’s underwhelming. Of course, these Generative AI models rely on data to make the most informed decision it can. If the prevailing usecase for AI is agents to assist employees and customers alike, Bell said that managing the data AI has access to is crucial to the success of these agents.
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