A practical guide to generating synthetic data using open-sourced GAN implementations The advancements in technology have paved the way for generating millions of gigabytes of real-world data in a single minute, which would be great for...
Data-centric AI and the reshape of the tooling space The end-to-end development of Data Science solutions can be broadly described as the process of analysis, planning, development and operationalization of a business problem that can be...
A guide to go a step beyond with your data Lately, there has been a lot of discussion about data quality and its impacts on model performance. Mainly due to this presentation which highlighted this topic — model-centric vs data-centric,...
A place to discuss data quality for data science According to Alation’s State of Data Culture Report, 87% of employees attribute poor data quality to why most organizations fail to adopt AI meaningfully. Based on a 2020 study by McKinsey,...
Today, the AI Infrastructure Alliance (AIIA), a non-profit organization with 25 global members officially launched with the mission to create a robust collaboration environment for companies and communities in the artificial intelligence...
A tutorial on how you can combine ydata-synthetic with Great Expectations With the rapid evolution of machine learning algorithms and coding frameworks, the lack of high-quality data is the real bottleneck in the AI industry. Transform...
The answer is pretty obvious, right? Let’s take a deeper look at the P&C business. Like any other business nowadays, artificial intelligence also became a vital aspect of modern Insurance. Insurance companies seat on a gold mine of data,...
YData, the Lisbon-based startup that created the first data preparation platform to accelerate the development of AI solutions, has successfully closed a Seed funding round worth €2.33 million to fast-track its expansion across Europe and...
Doing this early for your next project will save you weeks of effort and stress If you've worked in the AI industry with real-world data, you’d understand the pain. No matter how streamlined the data collection process is, the data we’re...
Introducing YData Quality: An open-source package for comprehensive Data Quality. Flag all your data quality issues by priority in a few lines of code “Everyone wants to do the model work, not the data work” — Google Research According to...
A vibrant community pioneering an essential to the data science toolkit According to a 2017 Harvard Business Review study, only 3% of companies’ data meets basic quality standards. Based on a 2020 YData study, the biggest problem faced by...
According to the 2021 enterprise trends in machine learning report by Algorithmia, 83% of all organizations have increased their AI/ML budgets year-on-year, and the average number of data scientists employed has grown by 76% over the same...
