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Stories, tutorials and updates about AI.

September 24th, 2025
Italian AI law: A milestone, not a finish line
By Shalini Kurapati
July 24th, 2025
Power move or roadblock? What the EUs Code of Practice means for AI Companies
By Shalini Kurapati
June 12th, 2025
Apple's reality check on AGI: For now, data reigns supreme for AI progress
By Shalini Kurapati
May 12th, 2025
Solving the say-do gap: a privacy-first approach to robust behavioural insights
By Shalini Kurapati
April 18th, 2025
Replica Italia: Redefining market insights with 60 million synthetic users
By Shalini Kurapati
March 25th, 2025
A quick introduction to tokenizers
By Luca Gilli
February 26th, 2025
The Role of Synthetic Data within the European Artificial Intelligence Act
By Simona Mazzarino
January 29th, 2025
The road to trustworthy AI starts with openness: We just began our exciting journey!
By Shalini Kurapati
August 6th, 2024
Webinar: AI Act & Intellectual Property
By Alessandra Nicolosi
July 2nd, 2024
Clearbox AI and the TrustChain project: Introducing the SURE library
By Shalini Kurapati
June 10th, 2024
Synthetic data for the manufacturing industry: the new NGA4M project
By Dario Brunelli
June 4th, 2024
Introducing Clearbox AI’s Preprocessor 2.0 with Polars
By Dario Brunelli
May 6th, 2024
Fine-tuning Large Language Models and practical applications
By Simona Mazzarino
March 19th, 2024
Why do we need Responsible AI?
By Alessandra Nicolosi
February 20th, 2024
How to create a train and test dataset
By Luca Gilli
January 23rd, 2024
The future of data protection: are GDPR and AI Act friends or foes?
By Shalini Kurapati
December 13th, 2023
Clearbox AI and Poste Italiane: the new exploratory collaboration
By Shalini Kurapati
November 21st, 2023
AI Apocalypse: What you really need to be afraid of
By Shalini Kurapati
October 17th, 2023
Why is data sharing important for enterprises?
By Shalini Kurapati
September 26th, 2023
Can AI work with little data?
By Simona Mazzarino
July 25th, 2023
Using Physics Informed ML to generate synthetic time series data
By Daniele Ninni
July 11th, 2023
Why ChatGPT is not your best bet to generate data
By Andrea Minieri
May 16th, 2023
Is data minimization only a privacy principle?
By Shalini Kurapati
April 18th, 2023
Protect Personal Identifiable Information with our Nerpii library
By Simona Mazzarino
February 24th, 2023
Easily integrate Clearbox AI solution with Data Connectors
By Andrea Minieri
January 30th, 2023
Generating synthetic data within relational databases
By Luca Gilli
January 11th, 2023
Webinar: Synthetic data to enable responsible innovation
By Shalini Kurapati
November 22nd, 2022
Clearbox AI and the WomenTechEU experience
By Shalini Kurapati
October 27th, 2022
Step by step data augmentation for better machine learning models
By Luca Gilli
October 3rd, 2022
Practical synthetic data generation for privacy preservation
By Andrea Minieri
September 20th, 2022
Synthetic data for privacy preservation - Part 3
By Andrea Minieri
August 2nd, 2022
What is a data strategy and how to build one?
By Clearbox AI
July 19th, 2022
How to deal with imbalanced data with generative models - Part 2
By Luca Gilli
July 5th, 2022
The whys and hows of data preparation - Part 3
By Carmine D'Amico
June 20th, 2022
Our open source Data Profiling library is now on GitHub
By Luca Gilli
June 7th, 2022
Synthetic data for privacy preservation - Part 2
By Andrea Minieri
May 24th, 2022
Anonymization, Pseudonymization and synthetic data
By Shalini Kurapati
May 10th, 2022
How to handle privacy issues in AI?
By Clearbox AI
April 26th, 2022
How to deal with imbalanced data with generative models - Part 1
By Luca Gilli
April 5th, 2022
Synthetic data for privacy preservation - Part 1
By Andrea Minieri
March 22nd, 2022
What is CI/CD?
By Clearbox AI
March 8th, 2022
What is Synthetic Data?
By Shalini Kurapati
February 22nd, 2022
The whys and hows of data preparation - Part 2
By Carmine D'Amico
February 8th, 2022
How to harness the power of AI in companies
By Clearbox AI
January 25th, 2022
The whys and hows of data preparation - Part 1
By Carmine D'Amico
January 11th, 2022
What is Data-Centric AI?
By Luca Gilli
December 28th, 2021
How to use data and AI for good?
By Clearbox AI
December 14th, 2021
How to use AutoML to optimize generative models
By Daniele Genta
December 9th, 2021
You can now evaluate Synthetic data quality on the AI Control Room
By Shalini Kurapati
November 30th, 2021
How to improve your models with Synthetic Data
By Andrea Minieri
November 16th, 2021
How does Explainable AI work?
By Clearbox AI
November 2nd, 2021
Adapting unstructured data to AI Control Room engine
By Chiara Lanza
October 26th, 2021
Why is Reproducibility in Machine Learning key for robust MLOps?
By Shalini Kurapati
October 12th, 2021
How data clustering helps evaluate the strengths of your ML Model
By Carmine D'Amico
October 5th, 2021
Tutorial 4/4: How do you quantify trust in machine learning?
By Luca Gilli
September 28th, 2021
Why Reliability is key in Machine Learning operations
By Prof. Mariarosaria Taddeo
September 21st, 2021
Clearbox AI Control Room tackling the AI4EU Challenge
By Rabindra Khadka
September 14th, 2021
Tutorial 3/4: An Introduction to Bayesian ML Models
By Luca Gilli
September 7th, 2021
AI Control Room is online!
By Shalini Kurapati
June 9th, 2021
How to evaluate the robustness of synthetic data
By Rabindra Khadka
May 13th, 2021
Why businesses should not be afraid of the new AI regulation
By Shalini Kurapati
February 10th, 2021
Automating data preparation and preprocessing in ML models
By Andrea Minieri
January 13th, 2021
Privacy preserving data cloning using generative models
By Luca Gilli
December 18th, 2020
Openness vs. Commercialisation in Artificial Intelligence
By Shalini Kurapati
October 28th, 2020
Tutorial 2/4: Model calibration with credit risk assessment model
By Luca Gilli
October 7th, 2020
Aware of the hype, what’s a Startup?
By Matteo Giovannetti
September 23rd, 2020
The importance of having an agile ML workflow
By Carmine D'Amico
September 9th, 2020
Tutorial 1/4: Dealing with uncertainty in ML problems
By Luca Gilli
June 16th, 2020
Making AI less magic and more human
By Federico Tomassetti
June 1st, 2020
Why should you defend your ML models against adversarial attacks
By Ludovico Bessi
May 18th, 2020
How Active Learning empowers Human-in-the-loop ML
By Andrea Minieri
April 20th, 2020
Tackling the fear of unknown, with and within AI
By Shalini Kurapati
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