cloudarchitecture
Despite digital transformation being a highly effective way to further develop the long-term business model, it can be a very drawn-out and arduous process. But the majority of companies in Germany, in particular, rely on the cloud in its various facets, and have now achieved a certain level of maturity when it comes to migrating workloads. Maturity means, on one hand, that users have not only gained experience with individual dedicated cloud services, but in many cases are now also modernizing and outsourcing core applications. It also means some individual cloud projects fail, there’s been a...
CIO
The complexity within IT infrastructures is increasing, as is the pressure on IT budgets to use available funds as smartly and efficiently as possible. Effective cost management in the cloud is, therefore, becoming increasingly important. Yet many companies still find it difficult to keep an eye on the costs of their cloud deployment and to continuously optimize them. This is a key finding of a survey commissioned by Boomi from Forrester Research. At the end of 2023, analysts surveyed 420 IT decision-makers worldwide about their cloud usage, a quarter of whom were primarily from Germany, Franc...
CIO
By David Linthicum Lately, I’ve been covering the overengineering and overprovisioning of resources in support of AI, both in the cloud and not in the cloud. AI architects are putting high-powered processors, such as GPUs, on their AI platform shopping lists, not stopping to consider if they will return business value. I’ve found myself in more than a few heated disagreements with other IT architects about using these resources for AI. There seem to be two camps forming: First, the camp that believes AI will need all the processing and storage power that we can afford now. They beef up the sys...
Info World
By David Linthicum The landscape of cloud computing is changing significantly as enterprises question the value of public cloud solutions. This shift marks a departure from previous years when the public cloud was widely regarded as the panacea for all technology and infrastructure needs. Companies are now reconsidering the efficacy, cost efficiency, and strategic alignment of public cloud computing in their IT frameworks. We’ve also been discussing this topic here in recent years. It’s one thing to stand around and complain. It’s more beneficial for experts to suggest new paths that cloud pro...
Info World
By David Linthicum Cloud is the easiest way to build generative AI systems; that’s why cloud revenues are skyrocketing. However, many of these systems are overengineered, which drives complexity and unnecessary costs. Overengineering is a familiar issue. We’ve been overthinking and overbuilding systems, devices, machines, vehicles, etc., for many years. Why would the cloud be any different? Overengineering is designing an unnecessarily complex product or solution by incorporating features or functionalities that add no substantial value. This practice leads to the inefficient use of time, mone...
Info World
By David Linthicum I’m not sure why our industry keeps falling into the trap that when a new concept emerges, there are near-immediate announcements that it runs best on one platform. Enterprises shouldn’t even think about other options. This VentureBeat article is an example, although it is more balanced than most. While many pundits present cloud computing as the only rational choice for AI, many hardware vendors declare that traditional hardware is the best option. Who’s right? The nuances of platform selectionThe questions I get at AI speaking events used to be some version of “what’s the ...
Info World
Three years ago, Gothenburg-based SKF brought in new CEO Rickard Gustafson and over time, a new strategic framework was established to take the company from a centralized to a decentralized organization. And at the heart of that new business model journey was, and continues to be, CIO Pedro de Freitas and group head of digital engineering and innovation, Maria Stranne. “We see the value in having the IT aspects close to the business where support is needed,” says Stranne. For de Freitas, the continuing focus is on getting the entire company to a common business system platform, and by the end ...
CIO
By David Linthicum “Cloud whiplash” refers to the challenges and rapid changes organizations face while adopting and managing cloud computing infrastructures. The term captures the often disorienting and disruptive shifts as enterprises try to keep up with rapidly evolving technologies, varied cloud services, and changing business requirements. Cloud whiplash is usually due to frequent changes in cloud strategies, resulting in inefficiencies, security vulnerabilities, and operational disruptions. An example would be the security team needing a cloud security plan when applications are redeploy...
Info World
By David Linthicum In the rapidly evolving field of cloud computing, the emergence of generative AI agents, or more colloquially, agentic AI, heralds a potential paradigm shift in how we do AI in the cloud—even before we fully capitalize on generative AI’s true potential. Just as cloud computing transformed the tech landscape, agentic AI has the potential to revolutionize our approach to generative AI architecture by introducing autonomy, intelligence, and efficiency. Before we delve deeper, it’s important to understand that agentic AI is not a one-size-fits-all solution for all AI deployments...
Info World
By David Linthicum The rapid evolution of generative AI is poised to influence the significant adoption and expansion of multicloud architecture. What is most interesting is that multicloud is occurring mainly behind the scenes, without much fanfare, taking a backseat to the hype around generative AI. I believe it’s just as important, and enterprises need to pay attention. Everyone saw this comingGenerative AI models, especially large-scale neural networks, require immense computational power and scalable infrastructure. Multicloud architecture is essentially a complex distributed architecture...
Info World
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