Data hyperaggregation collects, integrates, and processes large volumes of data from multiple sources. This method can pull data from cloud platforms and on-premises systems to create a unified and comprehensive data set. The goal is to enhance data visibility, thus improving decision-making, analytics, and operational efficiency. As organizations push the boundaries of digital transformation, understanding…
For the past decade, Kubernetes has been the dominant force in cloud-native computing and in enterprise software generally, as cloud providers and their customers have turned toward running their applications and services in clusters of containers instead of in tiers of virtual machines. And yet, the Cloud Native Computing Foundation’s 2023 annual survey (conducted from…
AWS has added a new feature, dubbed cross-region inferencing, to its Amazon Bedrock generative AI service in order to help developers automate inference routing requests coming to the service during traffic spikes in AI workloads. Cross-region inferencing, which has been made generally available and comes as a no-cost option for developers using on-demand mode inside…
As organizations of all sizes and sectors race to develop, deploy or buy AI and LLM-based products and services, what are the things they should be thinking about from a regulatory perspective? And if you’re a software developer, what do you need to know? The regulatory approaches of the EU and US have, between them,…
For a simplistic view of data processing architectures, we can look at the structure and functions of a house. The foundation of the house is data management platforms that provide storage, query, transactions, security, and other fundamental data functions. Throughout the house are various appliances, including microservices, APIs, applications, analytics, machine learning models, and genAI…
Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of August 23, 2024. Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines…
It can sometimes be overwhelming keeping up with everything happening in the world of JavaScript, but I think JavaScript developers mostly know we are lucky. We get to work in a space where smart people are constantly generating new ideas. We are surrounded by peers who are freely available and actively engaged, a high-water mark…
The most powerful and flexible data science tool is a programming language. Sometimes the only way to properly solve a data science problem is to roll your own solution, even if it’s only a few lines of code. But programming languages can also take time to master, and the language you choose will be influenced…
When it comes to cloud computing security and AI, we have a lot to learn about protecting AI systems. Most cloud security pros don’t know how to implement effective AI security, and many don’t know where to start. I suspect this will result in significant breaches in the next few years; I just hope my…
At the heart of Microsoft’s AI services is a promise to deliver reliable and secure AI. If you’re using Azure AI Studio to build and run inference, you’re benefiting from a hidden set of tools that checks inputs for known prompt attacks. At the same time, outputs are tested to keep the risk of error…
