Fabio Concina

Head of AI & Analytics at kwantis

About Me

Engineering leader with 10+ years in software and data, currently leading an 8-person AI & Analytics team at kwantis, a ~40-person SaaS company, with end-to-end ownership of a core product area, used in production by major energy operators including Eni, Saipem, TotalEnergies, and KOC. Accountable for roadmap delivery, people management, and production adoption of AI capabilities.

Experience

Head of AI & Analytics

kwantis | 2025 - Present

  • Lead an 8-person AI & Analytics engineering team with end-to-end ownership of a core product area.
  • Own roadmap execution and delivery for AI-driven features in the ID3 product, in close collaboration with Product and Business stakeholders.
  • Accountable for team performance, hiring, onboarding, and professional growth.
  • Delivered LLM-enabled and agentic AI capabilities into a production SaaS product used by enterprise customers.

Manager, AI & Analytics

kwantis | 2020 - 2025

  • Managed the AI & Analytics division and helped grow the engineering team (5 to 20).
  • Owned the end-to-end design of ID3's analytics layer, bridging engineering execution with domain-specific customer needs.
  • Designed an AI-driven anomaly detection pipeline for data quality assurance in surface logging data.

Software Engineer

kwantis | 2015 - 2020

  • Core contributor to the design and development of the ID3 (id3.ai) product, with a focus on architecture and early technical direction.

Publications

Detecting Low-Quality Intervals in Surface Logging Data Using AI-Based Anomaly Detection

Alireza Nadirkhanlou, Fabio Concina

SPE Europe Energy Conference and Exhibition, Vienna, Austria, June 2025

Advanced Analytic Tool Development for GHG Emissions Monitoring in Well Operations

Vanessa Silvia Iorio, Daniele Farina, Stefano Racca, Luca Dal Forno, Fabio Concina

Offshore Technology Conference, Houston, Texas, USA, May 2023

Big Data for Advanced Well Engineering Holds Strong Potential To Optimize Drilling Costs

Nicola Rossi, Jean Michelez, Fabio Concina

Journal of Petroleum Technology, Vol. 70, No. 02, pp. 18-21, February 2018

Talks

Transforming Operational Reporting: How Generative AI Automates DDR Data Capture

IADC DEC Tech Forum, Houston, Texas, USA, March 2026

Education

MSc in Statistics and Actuarial Science

University of Trieste, Trieste, Italy, 2015

Contributed to the R ChainLadder package as part of thesis research on stochastic reserving methods.

Writing

Twice in Three Years: Two AI Phase Shifts

February 2026

Contact