From Data to Intelligence
30+ years navigating the evolution from Information Lifecycle Management to AI/ML. Technology serves people, processes, and business — in that order.
Technology as Enabler
Before discussing solutions, platforms, or trends — a fundamental truth that guides everything we do.
People First
Technology must support humans, not replace them. Adoption fails when people are an afterthought.
Process Enabled
Automate what's understood. Digitizing broken processes just creates faster broken processes.
Business Outcome
Features don't matter. Impact does. Technology investments must tie to measurable business value.
"IT is a means to an end — supporting people, enabling processes, driving business outcomes. Never the other way around."
ILM → BI → Big Data → AI/ML
The market evolved. Organizations must follow the same path. Each stage builds on the previous — skip steps and foundations crumble.
Information Lifecycle Management
Data has a lifecycle — creation, storage, access, archival, deletion. Without managing this cycle, organizations drown in data they can't use and can't delete. Compliance (GDPR, retention policies) now enforces what was once optional.
Hands-on Experience
Business Intelligence
Structured data, structured questions. BI gave organizations the ability to ask "what happened?" and "why?" — but only within defined schemas and predetermined queries. Powerful for operational insight, limited for discovery.
Domain Experience
Big Data
Volume, velocity, variety. Structured and unstructured. Real-time and batch. Big Data broke the constraints of traditional BI — but created new challenges in governance, quality, and meaning. Data lakes became data swamps without proper management.
Project Experience
AI / Machine Learning
From describing what happened to predicting what will happen — and prescribing what to do. AI/ML is transformative, but only with proper data foundations. Garbage in, garbage out still applies, just at scale and speed.
Current Development
Where Is Your Organization?
Each stage requires mastery of the previous. Jumping ahead creates technical debt and failed projects.
Data Under Control
You know what data you have, where it lives, who owns it, and when to delete it.
Insight on Demand
Business questions get answered with data. Decisions are informed, not intuition-only.
Scale & Discovery
You can handle volume and variety. You discover patterns you weren't looking for.
Intelligent Action
Systems predict, recommend, and in some cases act. Humans oversee, not operate.
The Honest Truth About AI Readiness
Most organizations want Stage 4 (AI/ML) but are still struggling with Stage 1 (basic data management). AI amplifies whatever you feed it — if your data foundations are weak, AI will confidently produce wrong answers at unprecedented speed.
Project Highlights
Real-world experience across the data evolution spectrum.
Healthcare & Enterprise ILM
Implementing archival, retention, and compliance solutions for healthcare organizations and enterprises like ABP. Managing data from creation through secure deletion.
EU BigMedilytics / Philips
Partner contributor to EU Horizon 2020 lighthouse project. Secure healthcare data sharing within EU Cloud. Cross-border data governance for medical imaging and patient data.
AI Clinic & AI Practice
GenAI-driven solutions supporting consultation and intake processes across Healthcare, Public Services, and Insurance. Built on Fujitsu Private GPT, Mistral AI, and Vorro EiPaaS.
Explore Further
Technology Strategy Conversation?
Whether you're struggling with data foundations or ready for AI — it starts with understanding where you are and where you need to go.