fromEntrepreneur
11 hours agoThe Hidden Data Liability Every Leader Needs to Address Now
Data is no longer endlessly renewable; companies face a 'data liability gap' affecting AI systems and data recovery responsibilities.
A Common Vulnerability Exposure (CVE) that cannot reach the privilege plane is operationally ineffective - even at a CVSS Score of 10. This should be a core philosophy that is embedded into the fabric of software engineering.
Exchanges are a place where you can submit an order to buy something, letting everyone know about the price you want and notifying you when your order gets filled. They serve as financial infrastructure, providing up-to-date prices and facilitating trades.
Blackbox Hosting has consolidated storage from two full racks down to just 8U of rack space following migration to Everpure FlashArray hardware, achieving a 10:1 data reduction ratio and an 85% reduction in power utilization.
"In agentic environments, agents mutate state across data, systems, and configurations in ways that compound fast and are hard to trace," says Pranay Ahlawat, Chief Technology and AI Officer at Commvault.
What if I told you that everything you know and everything you do to ensure quality backups is no longer viable? In fact, what if I told you that in an era of generative AI, when it comes to backups, we're all pretty much screwed?
It was the time of Novell networks, RG58 cables, and bulky tower PCs. It was also a time before the telemarketer's IT department employed specialists. Carter and his two colleagues - boss Mike and part-time student Stefan - therefore handled tasks ranging from programming to support, and everything in between.
I looked at the config and noticed the customer did not have a default route set. He wasn't sure if that was the problem, so he made some changes he thought might be useful. The router Caleb worked on then rebooted, which he expected. But when it restarted, its previous configuration was gone.
Neocloud providers, which include the likes of Nscale, CoreWeave and Carbon3.ai, are having a somewhat disruptive impact on the market by making huge commitments to build out hyperscale datacentres in support of the UK government's AI growth agenda. These providers are also taking up capacity in colocation datacentres that some of the hyperscale cloud giants previously committed to renting space in, before pulling out.
A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.
Most businesses, which includes modern ones, invest heavily in technology, but they rarely plan for its eventual and inevitable exit strategy. Generally speaking, companies spend millions on the latest hardware while overlooking the critical phase when those assets reach their end. This lack of planning creates a massive gap in the operational lifecycle of many otherwise successful global organizations. Decisions made at the end of a device's life carry real business risks that can impact the bottom line financially and environmentally speaking.