Blog posts

[ad_1] We have already touched on multiple points of the Machine Learning lifecycles in previous blog posts and our Next Generation Data & AI Journey powered by MLOps. In the last post, we talked about effective Data Science & Machine Learning pipelines. In this blog post, we will dive a little deeper into the quality […]

[ad_1] You certainly have heard of a company named Google. The IT giant was among the first pioneers of Site Reliability Engineering (SRE) . After making its proofs within Google’s production systems, the concept gained a lot of attraction around the Software Engineering community. At Digital Architects Zurich, we understand Site Reliability Engineering as a fundamental concept, as we explained in a previous

[ad_1] In the ever-evolving field of life sciences, the emergence of Large Language Models (LLMs) has brought about a revolutionary shift in how data can be processed, analyzed, and harnessed. LLMs, powered by state-of-the-art natural language processing (NLP) techniques, are able to generate and manipulate vast amounts of scientific text and data. By leveraging their

[ad_1] An open Observability-based instrumentation & AI-able streaming architecture to pilot the Digital Highway We introduced, in a previous blogpost, the high-level pattern of the digital highway suggested by Digital Architects Zurich to tackle the following challenge: “Ensuring SLOs in the age of digital transformation, Cloud & DevOps while keeping budget under control and leveraging

[ad_1] Are you fascinated by the recent hype around data and artificial intelligence (AI)? Apart from leveraging external tools like Chat GPT, are you wondering how to implement your own machine learning (ML) projects in your organization? And how do you take projects from the PoC and experimentation stage into production, including deploying and continuously

[ad_1] Digital Transformation advocates, initiators and suitors (DevOps and Agile to name the most prominent) are all insisting on the importance of the culture transformation to assure the success of such a demanding and transversal process. However, the way to attack this culture transformation remains a very volatile field of experimentation. In this note we try to shed some light on how Socrates

[ad_1] Artificial Intelligence (AI) is a reality that profoundly impacts nearly all facets of business operations. It can augment decision-making processes and fundamentally change organizations. Yet to fully harness its potential, businesses must navigate a complex data terrain, operationalize data and model pipelines, and develop predictive AI models. The true potential of AI can only

[ad_1] Ce Bootcamp présente aux participants les outils MLOps et les meilleures pratiques pour le déploiement, l’évaluation, la surveillance et l’exploitation des systèmes ML de production.Vous apprendrez à déployer, tester, surveiller et automatiser des applications et des algorithmes de Machine Learning. [ad_2] Source link

[ad_1] Large Language Models (LLMs) don’t need any introduction. They are transforming how we view and use search, knowledge retrieval, information extraction, and many other areas. Specific model names such as GPT, LLaMA, Gemini, PaLM, Claude, and others have quickly become household names in tech circles. LLMs already provide tremendous value for people in their

[ad_1] As part of our democratised approach for companies to adopt SRE, we have introduced in a previous blogpost our “Effective SRE” challenge triangle (see below). We then mentioned “SLO Engineering” without exploring it in further details and without describing its related key activities. In this blog post, we will provide you an overview of