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Clearbox AI Blog
Stories, tutorials and updates about AI.
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Shalini Kurapati 
Jan 29, 2025
The road to trustworthy AI starts with openness: We just began our exciting journey!
By Shalini Kurapati
Alessandra Nicolosi 
August 6, 2024
Webinar: AI Act & Intellectual Property
By Alessandra Nicolosi
Shalini Kurapati
July 2, 2024
Clearbox AI and the TrustChain project: Introducing the SURE library
By Shalini Kurapati
Dario Brunelli 
June 10, 2024
Synthetic data for the manufacturing industry: the new NGA4M project
By Dario Brunelli
Dario Brunelli
June 4, 2024
Introducing Clearbox AI’s Preprocessor 2.0 with Polars
By Dario Brunelli
Simona Mazzarino 
May 6, 2024
Fine-tuning Large Language Models and practical applications
By Simona Mazzarino
Alessandra Nicolosi
March 19, 2024
Why do we need Responsible AI?
By Alessandra Nicolosi
Luca Gilli 
February 20, 2024
How to create a train and test dataset
By Luca Gilli
Shalini Kurapati
January 23, 2024
The future of data protection: are GDPR and AI Act friends or foes?
By Shalini Kurapati
Shalini Kurapati
December 13, 2023
Clearbox AI and Poste Italiane: the new exploratory collaboration
By Shalini Kurapati
Shalini Kurapati
November 21, 2023
AI Apocalypse: What you really need to be afraid of
By Shalini Kurapati
Shalini Kurapati
October 17, 2023
Why is data sharing important for enterprises?
By Shalini Kurapati
Simona Mazzarino
September 26, 2023
Can AI work with little data?
By Simona Mazzarino
Daniele Ninni 
July 25, 2023
Using Physics Informed ML to generate synthetic time series data
By Daniele Ninni
Andrea Minieri 
July 11, 2023
Why ChatGPT is not your best bet to generate data
By Andrea Minieri
Shalini Kurapati
May 16, 2023
Is data minimization only a privacy principle?
By Shalini Kurapati
Simona Mazzarino
April 18, 2023
Protect Personal Identifiable Information with our Nerpii library
By Simona Mazzarino
Andrea Minieri
February 24, 2023
Easily integrate Clearbox AI solution with Data Connectors
By Andrea Minieri
Luca Gilli
January 30, 2023
Generating synthetic data within relational databases
By Luca Gilli
Shalini Kurapati
January 11, 2023
Webinar: Synthetic data to enable responsible innovation
By Shalini Kurapati
Shalini Kurapati
November 22, 2022
Clearbox AI and the WomenTechEU experience
By Shalini Kurapati
Luca Gilli
October 27, 2022
Step by step data augmentation for better machine learning models
By Luca Gilli
Andrea Minieri
October 03, 2022
Practical synthetic data generation for privacy preservation
By Andrea Minieri
Andrea Minieri
September 20, 2022
Synthetic data for privacy preservation - Part 3
By Andrea Minieri
Clearbox AI 
August 02, 2022
What is a data strategy and how to build one?
By Clearbox AI
Luca Gilli
July 19, 2022
How to deal with imbalanced data with generative models - Part 2
By Luca Gilli
Carmine D'Amico 
July 5, 2022
The whys and hows of data preparation - Part 3
By Carmine D'Amico
Luca Gilli
June 20, 2022
Our open source Data Profiling library is now on GitHub
By Luca Gilli
Andrea Minieri
June 07, 2022
Synthetic data for privacy preservation - Part 2
By Andrea Minieri
Shalini Kurapati
May 24, 2022
Anonymization, Pseudonymization and synthetic data
By Shalini Kurapati
Clearbox AI
May 10, 2022
How to handle privacy issues in AI?
By Clearbox AI
Luca Gilli
April 26, 2022
How to deal with imbalanced data with generative models - Part 1
By Luca Gilli
Andrea Minieri
April 5, 2022
Synthetic data for privacy preservation - Part 1
By Andrea Minieri
Clearbox AI
March 22, 2022
What is CI/CD?
By Clearbox AI
Shalini Kurapati
March 8, 2022
What is Synthetic Data?
By Shalini Kurapati
Carmine D'Amico
February 22, 2022
The whys and hows of data preparation - Part 2
By Carmine D'Amico
Clearbox AI
February 08, 2022
How to harness the power of AI in companies
By Clearbox AI
Carmine D'Amico
January 25, 2022
The whys and hows of data preparation - Part 1
By Carmine D'Amico
Luca Gilli
January 11, 2022
What is Data-Centric AI?
By Luca Gilli
Clearbox AI
December 28, 2021
How to use data and AI for good?
By Clearbox AI
Daniele Genta 
December 14, 2021
How to use AutoML to optimize generative models
By Daniele Genta
Shalini Kurapati
December 9, 2021
You can now evaluate Synthetic data quality on the AI Control Room
By Shalini Kurapati
Andrea Minieri
November 30, 2021
How to improve your models with Synthetic Data
By Andrea Minieri
Clearbox AI
November 16, 2021
How does Explainable AI work?
By Clearbox AI
Chiara Lanza 
November 02, 2021
Adapting unstructured data to AI Control Room engine
By Chiara Lanza
Shalini Kurapati
October 26, 2021
Why is Reproducibility in Machine Learning key for robust MLOps?
By Shalini Kurapati
Carmine D'Amico
October 12, 2021
How data clustering helps evaluate the strengths of your ML Model
By Carmine D'Amico
Luca Gilli
October 05, 2021
Tutorial 4/4: How do you quantify trust in machine learning?
By Luca Gilli
Prof. Mariarosaria Taddeo 
September 28, 2021
Why Reliability is key in Machine Learning operations
By Prof. Mariarosaria Taddeo
Rabindra Khadka 
September 21, 2021
Clearbox AI Control Room tackling the AI4EU Challenge
By Rabindra Khadka
Luca Gilli
September 14, 2021
Tutorial 3/4: An Introduction to Bayesian ML Models
By Luca Gilli
Shalini Kurapati
September 7, 2021
AI Control Room is online!
By Shalini Kurapati
Rabindra Khadka
June 9, 2021
How to evaluate the robustness of synthetic data
By Rabindra Khadka
Shalini Kurapati
May 13, 2021
Why businesses should not be afraid of the new AI regulation
By Shalini Kurapati
Andrea Minieri
February 10, 2021
Automating data preparation and preprocessing in ML models
By Andrea Minieri
Luca Gilli
January 13, 2021
Privacy preserving data cloning using generative models
By Luca Gilli
Shalini Kurapati
December 18, 2020
Openness vs. Commercialisation in Artificial Intelligence
By Shalini Kurapati
Luca Gilli
October 28, 2020
Tutorial 2/4: Model calibration with credit risk assessment model
By Luca Gilli
Matteo Giovannetti 
October 7, 2020
Aware of the hype, what’s a Startup?
By Matteo Giovannetti
Carmine D'Amico
September 23, 2020
The importance of having an agile ML workflow
By Carmine D'Amico
Luca Gilli
September 9, 2020
Tutorial 1/4: Dealing with uncertainty in ML problems
By Luca Gilli
Federico Tomassetti 
June 16, 2020
Making AI less magic and more human
By Federico Tomassetti
Ludovico Bessi 
June 1, 2020
Why should you defend your ML models against adversarial attacks
By Ludovico Bessi
Andrea Minieri
May 18, 2020
How Active Learning empowers Human-in-the-loop ML
By Andrea Minieri
Shalini Kurapati
April 20, 2020
Tackling the fear of unknown, with and within AI
By Shalini Kurapati