Covid-19 special

How AI can help aviation?
Can we use data science to forecast the impact of the pandemic?
Will aviation come back stronger?

DataBeacon validates Romeo5 in PTA project with SAERCO

David Perez

Development of a Conflict Detection System for Air Traffic Control

Alberto Quintana

Bravo5: an advanced replay and post-operational safety tool designed for Air Navigation Service Providers (ANSPs) and airports.

David Perez

DataBeacon Launches Romeo5 Dashboards to Enhance Airport Performance and Efficiency

David Perez

Leeds Bradford Airport and DataBeacon partner to advance ADS-B Ground-Based Situational Awareness with Romeo5

David Perez

Cloud vs. On-Premise: The Hybrid approach for TWR ATC systems

Alberto Quintana

Enhancing Flight Information Displays: What TWR Controllers Truly Need

Alberto Quintana

DataBeacon introduces a new training tool for Air Traffic Controllers: Tango5

David Perez

Gloucestershire Airport selects Romeo5 Flight Information Display (FID)

David Perez

Bringing the ATC Digital Assistant to the Frontline

David Perez

The evolution of AI in Aviation: from AI-infrastructure to LMM

Paula Lopez

The Benefits of Flight Information Displays (FIDs) in Air Traffic Control and Aerodrome Flight Information Services

Nick Duriez

SafeTeam’s Approach to Managing Air Traffic Complexity

Pablo Hernández

Saerco and DataBeacon launch an initiative targeting the modernization and digitization for Air Traffic Management

David Perez

DataBeacon and uAvionix Collaborate to Deliver Low-latency, Cloud Situational Awareness with Romeo5 Flight Information Display Solution

David Perez

Navigating the Ops Landscape: A Comprehensive Guide to DevOps, MLOps, DataOps, AIOps and ModelOps

Pablo Hernández

Determining the surroundings of a flight trajectory

Ernesto Gregori

Information overload: why sometimes less is more and How Artificial Intelligence (AI) can help

Pablo Hernández

The future of ATM: leveraging computation, data and human feedback

Eugenio Neira

SimpliFID, powered by Victor5 technology, implemented at six Highland and Islands airports.

David Perez

GRIB files: Encoding weather data

Ernesto Gregori

Would a more open and transparent collaboration boost AI innovation in Air Traffic Management?

Eugenio Neira

Why We Use Clean Architecture to Implement Robust Air Traffic Control Systems

Manuel Ángel Suarez

Driving Change in Aviation: The Role of Data Science and Human-Machine Collaboration

Paula Lopez

Tips for moving data-driven projects from local to production

Antonio Fernandez

Explainability vs Interpretability: What does your model need?

Pablo Hernández

The only tool you need for scaling Big Data in Aviation

Juan Luis Moral

Connecting with the ATM Ecosystem: SafeTeam at Airspace World 2023

Inés Gómez

The Data Engineering Role. How is it different to Data Science?

Martín González

The UK CAA, CAA International, Innaxis and DataBeacon sign an MoU to cooperate in the adoption of Digital Assistants

Paula Lopez

Victor5 powered by Aireon demonstrated at Airspace World

David Perez

DataBeacon announces a market-ready data platform for ATM operations

David Perez

Using ChatGPT to code solutions for Data Science problems in aviation

Antonio Fernandez

Hexagonifying aviation

Eugenio Neira

Green Programming: Reducing your carbon emissions when coding

Martín González

SESAR Innovation Days 2022

Paula Lopez

Efficiency versus Resilience

Pablo Hernández

Drones, cities and artificial intelligence

Clara Argerich

Data emissions and how to deal with them

Clara Argerich

Can we feed predictive models with all the data collected?

Ernesto Gregori

Hydrogen-powered aviation challenges and how they link to data science

Clara Argerich

The case for digital assistants in ATM – Proposal for a framework to build AI tools that humans can engage with

David Perez

Haversine distance: Why you should not go straight to the point

Ernesto Gregori

Automating Aviation programming tasks with AI-generated code via GitHub Copilot

Dario Martinez

Why we should care about zero-knowledge proof in machine learning

Damir Valput

Leveraging Lakehouse Architectures to store Aviation Datasets

Antonio Fernandez

Top 4 Machine Learning trends in 2022 and how they could affect Aviation

Dario Martinez

Geospatial Data Representation: The GeoJSON Format

Martín González

How recommender systems can revamp digitalisation in the aviation industry?

Damir Valput

Moving to a data-centric approach to solve Machine Learning problems in aviation

Antonio Fernandez

Theory-crafting: Predicting Aircraft Maneuvering Fuel Consumption to achieve a more sustainable ATM.

Antonio Fernandez

Data for a greener and more digital Europe

Paula Lopez

A physical World ATM Congress for a more digitalised ATM

Paula Lopez

Certification of AI systems by 2025 – utopia or reality? 2/2

Paula Lopez

DataBeacon develops a complete end-to-end data solution for training AI tools for Air Traffic Controllers

David Perez

Certification of AI systems by 2025 – utopia or reality? 1/2

Paula Lopez

From batch processing to streaming processing in Aviation

Dario Martinez

AI Digital Assistants for Air Traffic Controllers will revolutionize operational rooms

David Perez

A little less conversation, a little more action

David Esteban

Cheap Flying, Cheap Learning

Eugenio Neira

How can we use AI to explore the mobility research landscape?

Damir Valput

Safe and resilient AI

Paula Lopez

Bridging the gap between AI implementation and production

Dario Martinez

Towards a greener aviation, the role of Artificial Intelligence

Clara Argerich

Is autonomous aviation a reality?

Sergio Collado

Five tips every Machine Learning Engineer must know

Dario Martinez

Sympathy for ATM: Is the industry getting it right?

David Esteban

Semi-Supervised learning in aviation

Eugenio Neira

Are you aware of AI’s carbon footprint?

Pablo Hernández

Dispatcher3: a new CleanSky 2 Innovative Action

Damir Valput

Even more data mining pitfalls: Get the best out of your data

Pablo Hernández

Embrace MONDAIS in 2021

David Perez

How to improve verifiability of AI claims

David Perez

Tips to re-train Machine Learning models using post-COVID-19 data

Antonio Fernandez

The role of AI in drones and autonomous flight

Pablo Hernández

Which activation function suits better to your Deep Learning scenario?

Antonio Fernandez

Cybersecurity in aviation

Pablo Hernández

When NOT to apply Machine Learning: a practical Aviation example

Dario Martinez

Air travel demand forecasting: before and after COVID-19

Damir Valput

Human-Centered Design in Data Science

Pablo Hernández

Why imitation learning is relevant for ATC automation

David Perez

Data technology to face COVID-19

Paula Lopez

Ethical aspects of Artificial Intelligence, part 2/2: Differential privacy

Damir Valput

Ethical aspects of Artificial Intelligence, part 1/2: Algorithmic bias

Damir Valput

COVID-19 side effects: How has decreasing Air Traffic volume affected the accuracy of Weather Forecasts?

Antonio Fernandez

One hundred reasons to celebrate

Paula Lopez

Computer vision and privacy in a post covid19 era

Dario Martinez

Two more V’s in Big Data: Veracity and Value

Samuel Cristobal

A black swan for the aviation industry

David Perez

5 Machine Learning applications using surveillance radar (ADS-B) as the main data source

Antonio Fernandez

A prediction on the role of AI for an aviation industry in crisis

David Perez

Text processing for aviation

Paula Lopez

Machine Learning roadmaps for aviation

David Perez

The impact of Covid-19 in European airspace: one month overview

Antonio Fernandez

Topic modelling: interpretability and applications

Damir Valput

Is Transfer Learning the final step for enabling AI in Aviation?

Dario Martinez

Aviation Data Compendium: Which data sources exist in aviation industry?

Antonio Fernandez

Learn how the brain works for kick-ass visualisations!

Pablo Hernández

The curse of IROPs (part 2)

Damir Valput

NLP evaluation

Paula Lopez

The decade of data revolution: literary review

Damir Valput

The curse of IROPs (A gentle overview, part 1)

Damir Valput

Digital Sky Challenge Rewind: What data-driven solutions were presented?

Antonio Fernandez

Datascience.aero 2019 report

Inés Gómez

Innaxis presence at the SIDs 2019

Inés Gómez

Digital Sky Challenge, the challenges behind the challenge

Samuel Cristobal

Artificial agents making data based decision in air traffic operations: Case studies of Domino

Damir Valput

SafeClouds farewell: a new era for aviation data

Paula Lopez

Harder, better, faster, stronger

David Perez

What to do when your Data Lake grows out of control

Samuel Cristobal

From time to space! Time series converted into images to train CNNs

Antonio Fernandez

A.I. in the Cockpit: Fact or Fiction?

Pablo Hernández

Machine Learning is more than loss minimisation

Dario Martinez

Digitalization in aviation: controlling your data before it controls you

David Perez

Can distributed apps store sensitive data being GDPR compliant?

Antonio Fernandez

Evolving “DevOps” to “AIOps” in your data platform

Dario Martinez

Can ATM benefit from cryptography techniques?

Paula Lopez

Could the 5G technology lead a disruptive change in aviation?

Jorge Martin

Data Science to improve operations: Fuel efficiency optimization

Lara Moro

Mine is better: Metrics for evaluating your (and others) Machine Learning models

Pablo Hernández

The scientific method of machine learning

Samuel Cristobal

Machine learning with graphs: the next big thing?

Damir Valput

Predictive Maintenance: How necessary are aircraft checks?

Lara Moro

How much data do you need?

Dario Martinez

How Blockchain could enhance aircraft maintenance?

Antonio Fernandez

Machine Learning in aviation is finally taking off

Samuel Cristobal

Evidence Based Training: time to change traditional pilot training

Lara Moro

This is not a data visualization guide

Inés Gómez

Computer vision: The power of seeing and interpreting images

Pablo Hernández

Do agile methodologies fit in data science environments?

Dario Martinez

The weak case for Trusted Third Parties in Data Science

David Perez

Last year (2018) trends in NLP and their impact in Aviation

Dario Martinez

Innaxis participated in the ASDA Tournament 2018!

Damir Valput

Short(ish) guide to statistical significance testing

Damir Valput

Fully Homomorphic Encryption: the Holy Grail of cryptography

Samuel Cristobal

Innaxis presence at the SIDs 2018

Samuel Cristobal

Big Data Spain 2018: An example business case applicable to aviation

Jorge Martin

When airlines and ANSPs come together

Paula Lopez

Improve ATM data quality using sensor streaming data

Jorge Martin

Data Science in Aviation Workshop

Paula Lopez

Risk missing a flight or waste time at the airport?

Damir Valput

Safeclouds interview

Paula Lopez

Maximise the probability of Data Science project success.

Seddik Belkoura

DataBeacon and SafeRunway presented at the IATA Aviation Data Symposium

David Perez

Recent AI application to conversational awareness

Samuel Cristobal

Research documents clustering for CAMERA

Dario Martinez

Today’s Machine Learning challenge: automating automation

Dario Martinez

Data Science and Stationarity in aviation

Seddik Belkoura

Aviation Couple of the Moment: Safety and Data Science as FDM

Enrique Diaz

AI systems for safety critical tasks

David Perez

More data mining pitfalls: top 5 data fallacies

Dario Martinez

Be aware of “false” precursors in Machine Learning

Seddik Belkoura

Understanding FMS, FDM, and SMS for aviation safety

Enrique Diaz

Data Protection is key as part of the data science process

David Perez

What is data visualisation?

Inés Gómez

Aviation revolution nears with Artificial Intelligence and Deep Learning

Dario Martinez

Aviation data exchange programmes worldwide

Paula Lopez

Taking a next step in data mining in aviation with Google’s Federated Learning

Samuel Cristobal

Artificial intelligence vs data science

David Perez

Predicting the improbable, Part 3: Anomaly detection

Dario Martinez

Identification, biometrics and blockchain

Hector Ureta

Predicting the Improbable, Part 2: Handling imbalanced data

Dario Martinez

Unique identifiers and the benefits and risks of data anonymization

Hector Ureta

Discovering hidden knowledge in aviation data

Paula Lopez

Can Machine Learning replicate human brain?

Paula Lopez

Data Scientists vs. Software Engineers

Seddik Belkoura

Predicting the improbable, part 1: The imbalanced data problem

Dario Martinez

SafeClouds presentation at the IATA ADS

David Perez

Why it’s better to use the functional paradigm for creating aviation models

Jorge Martin

“More is different” – Or why the approach to air transportation should evolve

Seddik Belkoura

The need for smart(er) data protection mechanisms

Samuel Cristobal

Data Privacy and Confidentiality

David Perez

Blockchain and other data science applications for aviation digitalization

Paula Lopez

Blockchain in 500 (non ICT) words.

Hector Ureta

Data Mining Pitfalls

Seddik Belkoura

Data Science Value and Applications

Hector Ureta

Going beyond one single model

Massimiliano Zanin

The inter-dependability of human expertise and data mining in aviation

Seddik Belkoura

Coining Data Science

Hector Ureta

How the information technology industry is disrupting aviation data analytics

David Perez

Agility and Data Analytics

David Perez

© datascience.aero

Linkedin Twitter Vimeo