A new paradigm for AI development — focused on data quality In my last blog post I’ve covered the rise of DataPrepOps and the importance of data preparation to achieve optimized results from Machine Learning based solutions. The stakes of...
Modern data development tools and how data quality impacts ML results ML is all around us! From healthcare to education, it is being applied in many domains that affect our daily activities and it’s able to deliver many benefits. Data...
An odyssey on improving data quality with synthetic data and model delivery with MLOps Machine Learning and AI are two concepts that definitely have changed our way of thinking in the last decade, and will probably change even more in the...
Generate synthetic sequential data with TimeGAN Time-series or sequential data can be defined as any data that has time dependency. Cool, huh, but where can I find sequential data? Well, a bit everywhere, from credit card transactions, my...
In recent years, machine learning has revolutionized how businesses and organizations operate. However, one aspect that is often overlooked is the importance of data pipelines in influencing machine learning performance. In this paper, the...
One good thing about the current pandemic (probably the only good thing) is that everyone stopped spending time commuting and got to spend that time on something else. We’re glad that some of those people were kind enough to spend that...
Mais de metade das startups financeiras portuguesas estão sediadas em Lisboa, 19% escolheu outros países da Europa e 18% está no Porto. Investidores apontam localização das sedes como um obstáculo. O Top 30 das startups de tecnologia...
Data science teams should focus on analysing data and building models, not infrastructure management. Kubernetes is great! 1. “Kubernetes is a future proof solution.” Because it is super cool to say “future proof”. Nobody knows how the...
Predicting air quality is a complex task that has become increasingly relevant in urban areas due to air pollution's critical impact on human health and the environment. In this context, machine learning techniques have proven to be...
Reducing your AI bias with synthetic data In the latest days, countries have been assaulted by manifestations around a topic that we do not always give the attention we should: inequalities and discrimination in our society towards black...
Does it live up to the hype? Nowadays, it’s said that we can quantify privacy or, even better, we can rank privacy-preserving strategies and recommend the more effective ones. Well, we can suggest something that goes even a bit further and...
In today’s world where data science is ruling every industry, the most valuable resource for a company are not the machine learning algorithms, but the data itself. Since the rise of Big Data, a theoretical understanding that data is...
