A funny thing happened on the way to the AI-promised land: People realized they needed data. In fact, they realized they needed large quantities of a wide variety of data and that it would be better if it was fresh, trusted, and accurate. In other words, people realized they…
Protecting your company’s information has never been more critical and requires cross-department buy-in
Thought leaders weigh in on the biggest data privacy concerns related to AI.
Recent world events have heightened concerns about data security. Stricter laws and increased risk of cyber attacks have forced businesses to prioritize data protection measures and implement them quickly.
This article highlights some interesting work from Gravic Labs, Gravic’s Research and Development group, in the area of increasing the data integrity of mission critical systems. The article expands on our talk at The Connect NonStop TBC meeting in October 2021, and is a continuation of the topic that…
In a game of chess, skilled players need to think in two ways at once. Tactically, they need to be able to respond to the immediate situation on the board, countering threats and finding ways of putting pressure on their opponent. Strategically, they need to see into the future and understand how their moves might open up vulnerabilities that their opponent can exploit later down the line, and make sure they have a plan in place to respond. In short, it’s as much about avoiding unintended outcomes as it is about achieving intended ones – and learning to see the board in this way doesn’t happen overnight.
With a proliferation of cyber-attacks throughout the pandemic, data-centric security has been pushed to the forefront of many organizations’ cybersecurity strategy. Even companies with mature security programs are vulnerable to breach, and since data is a valuable asset, it is crucial to properly protect it. The importance of securing data, whether it is at rest or in-use, is being understood as companies realize the consequences of data breaches and non-compliance with data privacy regulations.
After years of working in cloud environments, we’ve come to expect some basics that we collectively refer to as the “cloud experience.” For example, scalable capacity that’s ready when you need it, and the ability to easily click and spin up new instances. In short, we expect a point-and-click…
The democratization of Artificial Intelligence (AI) makes it easier for organizations to transform their business with AI. It wasn’t that long ago that applying AI to transform a business required a lot of technical expertise and hiring resources from a scarce talent pool. Let alone the expensive infrastructure to achieve such a feat. And something that only larger organizations can afford and justify as they are working on solving significant problems.