A website to raise awareness, share information and lay the foundation for the criticality of source data for artificial intelligence solutions, whether for training processes or unsupervised learning processes.
Advisory Services key in Data Accuracy - ideas
Pablo C., 25 years old - AI Engineer and Follower
What is the difference between having good or bad data for decision making?
IEEE PAR 2510 inventors - Data Accuracy senior since 2014.
PDF file from IEEE Conference:
Each business vertical is different, you need to understand the business, to be able to effectively weigh the importance of data, and the role it plays when making decisions of different types!
The world of IoT is increasingly diverse, today many companies use sensors of various brands, without control over the manufacturers of origin, certifications and regulations, many of them are unsafe, or have not been calibrated in years, many come from suppliers of very poor quality, you can have thousands of sensors, but you must know which ones to weight effectively
We focus our efforts on improving data accuracy at all stages of artificial intelligence processes.
Data is the necessary and indispensable food for machine learning and Generative AI systems!
Security of origin data is key, many times we do not know the compliance and security processes that the sensors or machines that generate the data went through, much less can we know about those qualifications and data that people generate.
How many organizations today have the possibility of quantifying the quality of source data when making critical business decisions?
How many organizations, governments, professionals in general, make decisions on a daily basis without having a real idea of the origin of the data with which they developed their strategies?
Having a clear Data Accuracy understanding will keep your business in the next level!
At Data Accuracy, we are committed to researching artificial intelligence and improving data accuracy to ensure informed and reliable decisions. Our primary goal is to lay the foundation for the critical importance of first-party data in the field of artificial intelligence.
Deep Research and Labs
Large customers around the world
We work and live with people, we receive feedback and increase our knowledge
Machines, Humans
Precision, Approximate,
Quantifiable, non-quantifiable
Values, text, Voice, Image, Video
Historical, Current
Pattern, Isolated
Public, Private
Encrypted, Fixed, Variable
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