Ubuntu
Artificial intelligence and machine learning (AI/ML) have stolen the hearts and minds of the public, the press and businesses. The technological advances in the field have helped to transport AI from the world of fiction, into something more tangible, and within touching distance. However, despite the hype, AI in the ‘real world’ isn’t quite yet a reality.
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Most organizations run several, perhaps even dozens of monitoring tools. Many teams find themselves adding another monitoring platform when they find a visibility gap in their current view. Despite the number of tools in our toolset, research indicates that many teams still struggle when it comes to overall visibility--or observ
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CyberMDX
While the proliferation of smart medical devices has unleashed new healthcare capabilities, it's also created real challenges to sustained network security. It's important that security be considered at the earliest stages and built in to the medical technology research and requisition process. Unfortunately, this is rarely the case. Even so, it's critical that this problem be tackled with gusto and an organization-wide perspective.
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The amount of data created over the next three years will far exceed the amount created over the past 30 years (IDC, Worldwide Global DataSphere Forecast, 2020-2024).
Many organizations are daunted by the prospect of understanding AI and what they need to do to deploy AI successfully. That is why we are drawing from our own experience and working with global enterprises to lay out ten key points that you need to consider when implementing your AI program. Every day we help organizations solve AI challenges, so we are eager to share with you the steps to help you realize the enormous benefits that AI can offer your business in 2022.
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