AI & GenAI
AI Agents for Analysts: How LLMs Are Boosting Productivity
How large language models are changing the day-to-day work of data analysts — and what it means for enterprise analytics teams.
COO & Founding Partner
Steen Manniche
If nobody can say who owns something six months after it ships, that's not collaboration, it's exposure.Steen on LinkedIn
Biography
About Steen
Steen has been building software since 2001, a decade of it as developer and architect at DBC, then as IT Architect at the National Board of e-Health, where he was Danish technical lead on epSOS, the European cross-border patient data project, and solution architect on the national service platform. Knowing exactly who could access what was never optional there. Pharma came next: research data management at Lundbeck, then a bioinformatics and genomics platform at Novozymes. At Think Big Analytics, a Teradata company, he led the engineering team, built a cloud data science platform, and ran a bioinformatics platform project serving hundreds of scientific users. He co-founded Adamatics with Sune in 2018 and leads operations and platform delivery.
Previously DBC · National Board of e-Health · Novozymes
Writing
Articles by Steen
AI & GenAI
Running Generative AI Inside the Firewall: What Enterprise Data Teams Need to Know
Running GenAI inside the firewall keeps sensitive data on your own infrastructure. A practical look at what enterprise teams need to consider before deploying.
Platform & Infrastructure
From Notebook to Enterprise App in Hours
See how the Adamatics platform helps teams go from notebook to app - fast. Break silos, scale insights, and speed up collaboration securely.
Platform & Infrastructure
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.
Governance & Trust
Orchestration & Security
Discover how Adamatics Orchestration & Security helps teams manage compute, storage, and analytics workflows in one secure platform. Simplify governance, boost performance.
Platform & Infrastructure
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.
Platform & Infrastructure
The Hidden Costs of a Monolithic Jupyter Setup
What happens when every data scientist runs their own Jupyter instance — and why the most common data science setup creates reproducibility and collaboration problems.
Governance & Trust
European Cloud Providers: What to Know Before You Select One
Explore key factors in choosing European cloud providers - from data sovereignty to compliance and operational strategy.
Platform & Infrastructure
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.
Platform & Infrastructure
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.
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Talk to the team.
We are based in Copenhagen. Book a call or write to info@adamatics.com.