Amazon Web Services went down on October 20, kicking off at 3 am ET at AWS' main US-East-1 region hosted in northern Virginia—the heart of its cloud services. According to the website Downdetector, user reports indicated problems at sites including Amazon, Disney+, Lyft, the McDonald's app, The New York Times, Reddit, Ring doorbells, Robinhood, Snapchat, T-Mobile, United Airlines, Venmo, Verizon, and more.
Read More
As organizations race to adopt AI, many struggle to move past proof of concept. Gartner predicts that 30% of generative AI (GenAI) projects will be abandoned by the end of 2025 largely due to issues around data readiness, governance, and deployment structure, so let's start there. In fact, as Gartner puts it: "Through 2026, those organizations that don't enable and support their AI use cases through an AI-ready data practice will see over 60% of AI projects fail to deliver on business SLAs and be abandoned." That's a wake-up call.
Read More
There is a growing urgency to adopt cloud services to buttress today's rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling over the capacities and capabilities of on-prem systems. It works the other way, as well: AI is paving the way for more robust cloud services, offering ever-expanding real-time automated provisioning and scalability.
Read More
In the AI era, we're constantly talking about how important data is—storing data, disseminating data, and protecting data. As data specialists, we understand bad data management leads to bad use of AI which leads, quite frankly, to bad business outcomes.
Read More