Blog

Insights on data science, AI, and analytics

Building a Data Foundation That Lasts

Building a data foundation is critical for executives. Discover how to align technology, governance, and business for long-term success.

Digital Autonomy through Containerization

Self-Service Containerization, along with other self-service capabilities, offers a paradigm shift in empowering individuals to deliver digital artefacts autonomously.

Gen AI from a practice point of view

Generative AI is now within reach for mid-sized businesses. With affordable LLMs, RAG systems, and simple setups, AI-driven solutions are easier than ever. This article explores their ROI and how businesses can quickly build scalable AI POCs.

JupyterHub: How to Set It Up and What Problems to Expect

A monolithic Jupyter setup refers to a basic configuration where JupyterHub and Jupyter Notebooks are run on a single machine—typically a local server—with one or a few kernels. The kernel is the computational engine that executes your code, and in a monolithic setup, all operations (coding, data processing, visualization) are confined to that single machine.

Orchestration & Security

Discover how Adamatics Orchestration & Security helps teams manage compute, storage, and analytics workflows in one secure platform. Simplify governance, boost performance.

The Adamatics Integration Layer

The Adamatics Integration Layer serves as a centralized API framework within the Adamatics platform, facilitating seamless, secure, and governed access to diverse enterprise data sources.

Turn Ideas Into Impact — Fast

Turn ideas into impact fast. Discover how Adamatics helps teams build, share, and scale secure apps and insights with speed and governance.