Resources

June 11, 2023

Unlocking the Power of a Data Catalog for Your Business

The importance of data quality & profiling for the success of Machine Learning In today's world, businesses around the globe are generating a vast amount of data. To be able to adopt a data-driven initiative, organizations must manage data...

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Unlocking the Power of a Data Catalog for Your Business
Explaining Missing Data, DCAI

What is Missing Data in Machine Learning?

Just like when assembling a puzzle, working with missing pieces – i.e., missing data – can compromise our ability to fully understand our datasets. Missing data is just one problem in the wide range of data quality issues that can affect...

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Conditional Synthetic Data Generation

Conditional Synthetic Data Generation for Robust Machine Learning

In today's data-driven world, synthetic data has emerged as a valuable asset for organizations across various industries, from telecommunications, transportation, finance, e-commerce, and healthcare. While leveraging realistic and...

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Data Quality for Large Language Models

The importance of Data Quality for Large Language Models

Over the past months, Large Language Models (LLMs) have increasingly received a lot of attention both from the general public and research organizations, as well as organizations worldwide, irrespective of their size. In essence, LLMs are...

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Integrating YData Fabric and Vertex AI

Integrating YData Fabric and Vertex AI

As proven time and again, data quality is key for high-performance results, which means that in order to extract real value out of their ML efforts, organizations need to incorporate data-centric solutions into their machine-learning...

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Multivariate and complex time-series synthetic data generation. Sequential data generation

Synthetic Multivariate Time Series Data

Generating synthetic versions of complex time series data As we saw in our previous post, YData Fabric’s time series synthesizer works well for univariate, single-entity datasets, regardless of how complex the processes generating those...

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Time-series synthetic data generation with seasonal information

Simple Synthetic Time Series Data

Generating synthetic versions of simple time series data Time series data is all around us, from health metrics to transaction logs. The increasing proliferation of IoT devices and sensors means that more and more time series data is...

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Data-Centric AI from the perspective of a statistician

Data-Centric AI — A Statistician’s View

How data improves models by lessening uncertainty It’s not every day that I read an academic paper that does a perfect job of balancing philosophical rigor and technical depth. I love deeply technical and applied ML research that drives...

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Generative AI Model for Time-Series Synthetic Data Generation

The best Generative AI Model for Time-Series Synthetic Data Generation

Exploring TimeGAN and YData Fabric for Synthetic Data Generation of Temporal Patterns In order to accelerate AI development and guarantee the best business practices and results, organizations rapidly need to become more data-centric....

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The importance of Data Catalogs for Machine Learning initiatives - Fabric the data catalog for data science

Unlocking the Power of a Data Catalog for Your Business

The importance of data quality & profiling for the success of Machine Learning In today's world, businesses around the globe are generating a vast amount of data. To be able to adopt a data-driven initiative, organizations must manage data...

Read More
High-quality data is a concern for all the elements of the modern data teams: from data engineers to data scientists.

The different dimensions for high-quality data in AI

Data Engineering vs Machine Learning the differences and overlaps Data quality is critical to both Data Engineering and Data Science, after all poor quality data can be costly quite costly for a business. Accordingly to Gartner poor data...

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Explaining Imbalanced Data, DCAI

What is imbalanced data in Machine Learning?

Data quality plays a crucial role in the success of machine learning projects. In the realm of artificial intelligence, where algorithms learn from data to make predictions and decisions, the quality of the input data directly impacts the...

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Top 5 Python Packages Python Synthetic Data

The Top 5 Python Packages to Generate Realistic Synthetic Data

Get started with Synthetic Data Generation with these Open Source Libraries Following the extraordinary advances of Generative AI models, Synthetic Data is becoming the standard for Machine Learning development. Especially with the rise of...

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