Media

Machine Learning Conference 2025, Subotica, “Separating Signal from Noise: The Truth About GenAI Startup Success”.
Guest appearance on the Pojačalo podcast with Ivan Minić (EP 258).
Second guest appearance on the Pojačalo podcast with Ivan Minić.

Data Science Conference Europe 2023: Decoding AI Landscape: Business, Market Trends, and Risks – A keynote about delivering a talk despite illness, which led to one of the most meaningful discussions with the audience.

Webit 2023: Exploring the Potential of Generative AI in Digital Analytics – On synthetic data, analytics, and future trends.

ML on Open Data: The Wikidata Case (DSC Europe 2021)

Serbia Prepares for the AI Revolution – UNDP x MACHINERY

ML Conference Palić 2023: Intro to ML Workshop with Ilija Lazarević & Aleksandar Cvetković

Behavioural Decision Theory in R (DSC Europe 2022 Tech Tutorial)

Learning Data Science through Education (DSC 2022 Panel with Urošević & Linc)

The Lindy Effect in Wikidata User Retention (WikidataCon 2021)

Semantic Web in R for Data Scientists (eRum 2020 Workshop)
This workshop offered a hands-on approach to Semantic Web technologies in R by exemplifying how to work with Wikidata and DBpedia in different ways. We start simple (using the Wikidata API, for example) and then slowly progress towards more advanced topics (e.g. your first SPARQL query from R and why it is not as complicated as people think, matching your data set against Wikidata entities in order to enrich it, and similar).
We show how to process the Wikidata JSON dump from R for those interested to play big games with R and the Semantic Web.

Heapcon Light 2020: Structured semantic knowledge in Data Science (in Serbian)
My talk at Hipkon Lajt 2020, Belgrade: how semantic graphs like Wikidata or DBpedia support both AI and data enrichment.
We bridge the gap between tabular data (like in R or Python) and semantic formats using RDF and SPARQL.
It’s easier and more accessible than it seems!

WikidataCon 2019: Wikidata Statistics: What, Where, and How
Presentation of the complete Analytics and ML infrastructure for Wikidata Analytics, from Big Data engineering to production analytics.

MilanoR Meetup 2019: Information Retrieval: Semantic Web Technologies and Wikidata from R
w. Mike Page

Held at Microsoft House, Milano. These notebooks provide practical guidance for:

  • Accessing Wikidata and Wikipedia content from R

  • Learning SPARQL

  • Performing IR tasks with R + Wikidata

  • Using newsrivr R package

  • Code repo: MilanoR2019

eRum 2018: Wikidata Concepts Monitor: R in action across Big Data
Wikidata RDF ontology and real-world usage analytics using R, SQL, Sqoop, Hive, and Spark.
Includes ML models (LDA, t-SNE) and Shiny dashboards.

Interview: Wikidata and the Next Generation of the Web
Interview by Filip Milenković on Semantic Web, Wikidata, and AI.

“Goran Milovanović is one of the most knowledgeable people I know… he’ll speak 15 minutes about it in one breath.”

From the Life of Wikidata w. Wikimedia Foundation
A 2018 blog on Wikidata Analytics: Why a central knowledge repository like Wikidata matters for the representation of knowledge in the Wikimedia universe.

Smartocto: What is the role of ‘data’ teams? w. Netokracija [In Serbian, 2023]
w. Ilija Šuša, CDO & Co-founder, Smartocto
We were guests at Netokracija’s podcast to discuss the organization of data teams in companies and startups.
Job market in Data Science, ML, and AI in 2023 w. Inspira Hub, Subotica [In Serbian, 2023]
Panel at ML Conference Palić, with Branko Kovač, Nemanja Čukarić and myself.
We discussed how the economic crisis and Generative AI affect the DS/ML/AI job market.
Related: Intro to ML Training
DataScienceMeetup – R and Shiny in Information Retrieval, Startit Center Belgrade, 2016 [In Serbian]
An early meetup from Belgrade’s DS scene. I presented a full IR system built with R and Shiny, including LDA for prediction and classification.
Methods of distributional semantics in R, Startit Center Belgrade, 2016 [In Serbian]
Talk on Latent Dirichlet Allocation and distributional semantics using R.
Artificial Intelligence ColumnTalas.rs [In Serbian]
My column series on AI for the media outlet Talas.
Analytics of Digital Lives – Interview for VREME magazine, Issue 1421, March 29, 2018 [In Serbian]

Interview on digital privacy and implications of the Facebook–Cambridge Analytica data scandal.

Internet Governance Forum: Identifying the Impact
Published by DiploFoundation, in partnership with AT&T, the Egyptian Ministry of Communications, and the Commonwealth IGF.
As Research Manager and Statistical Analyst, I led the methodology and quantitative evaluation for this major Internet Governance study.

Book Promotion: “Thinking, Fast and Slow” by Daniel Kahneman
Event held at SKC, Delfi Bookstore, Belgrade, June 26, 2015 [In Serbian]
Speakers included myself, Dr. Dušan Pavlović, and Ana Imširović Đorđević (translator).
Academic Publications
You can find my past academic research (1993–2013) on ResearchGate and Google Scholar.
Focus areas: Categorization, Semantics, Concept Learning, Decision Theory.