Head of Data
Enterprise architect and chief data scientist
Fabio is a technical enterprise architect, specialising in semantic technologies, big data and data science at large. He is experienced in the design of architectures for data virtualisation, data integration, and topologies for multi-tenancy, distributed knowledge bases.
Visionary, pragmatic, innovative - Fabio has helped organisations pushing the boundaries of orthodox data engineering into next-generation enterprise intelligence.
Once part of an holistic technical design, data starts compounding in value rather than complexity - delivering business advantage at exponential rate.
Enterprise data strategy and technical design
Linked, Big Data
Machine learning and data science
Frameworks for knowledge governance
Enterprise data strategy for business advantage
Next generation semantic big data
Powering prediction models through knowledge
I believe in agile delivery as a key risk mitigating technique. Creative collaboration, iterative adjustment, and simplification are crucial factors in delivering to expectations. The world is complex enough, we can’t afford it to be complicated.
From strategic planning, to design, all the way to implementation, the focus must be on delivering value through technology innovation. There is really no space or time for petty politics or ego stroking. I will tell you what I think, openly and honestly, always.
Technical brilliance and elegant solutions will invariably lead the engineering effort. Pragmatism too, though. It’s not about “exercices de style”, it’s about efficient delivery of value. I don’t chase perfection, maximisation of returns is what I’m after.
“I would count Fabio amongst a handful of technical architects who actually have, and want to continue to have, credible delivery ability.“
“I'd work with him again in a heartbeat.“
“A great IT professional with a fantastic business acumen.“
Epicurean, secularist, family guy. Avid reader, eater, cooker, thinker - often at the same time. Don't forget the towel.
If you would like to know more about Data Language or have a project you would like to discuss with us, then please get in touch
Call us on: 01372 365803 Email us: firstname.lastname@example.orgMake an enquiry