We change lead into gold and seek panaceas for ills
Today, we present Maciej Stanisławski, Head of R&D at MakoLab, in conversation with Insights
Our R&D has three pillars. There are the semantic, ontological and knowledge graph networks. There are solutions based on blockchain technology. And there’s machine learning and artificial intelligence, in a wide sense. We’re really quite a substantial department. There are almost twenty of us. Our team includes professors, PhDs and doctoral students, as well as a considerable handful of practitioners and everyone publishes in leading scientific journals, gives papers at conferences and operates at the point where research and business meet. We’re doing some really interesting stuff. It’s truly innovative and genuinely necessary. And, contrary to appearances, that doesn’t happen any too often in IT.
Pillar 1. We’re building ontologies for the financial sector and we’re starting work on that for the pharmaceutical and automotive industries. We’re working on the automatic acquisition of knowledge from texts… industry standards, for instance, or official documents.
Pillar 2. We have graph database solutions grounded in blockchain. This technology is used for LEI.info. We’re developing it in our Ontochain project and we also have non-commercial uses for it, in ecology and agriculture, for instance.
Pillar 3. As far as machine learning is concerned , we’re working to build a team and a skills centre in the field at MakoLab. Our projects are focused on a number of topics, mainly related to image analysis, like detecting damage to vehicles or lung diseases in X-rays.
Apart from that, there’s literature. I’m an avid reader of books and books about books. I set up a book club in Płock and every month we choose something from the world’s prose canon, read it, then meet and discuss it. We’ve got several dozen titles under our belts and oceans upon oceans of them ahead of us! Set up your own clubs, people! I can’t recommend it strongly enough!
I’m also a rambler of sorts. I just love walking. I mean, how long can you spend sitting in front of a computer or with a book?!