This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Andrew Holloway on Pixabay The vast majority of companies have been addicted for many years to software-as-a-service applications. Month after month, organizations worldwide pay tens… Read More »A 12-step FAIR data fabric program for recovering application addicts
Image by Pete Linforth from Pixabay Technological advances useful in solving some problems can often trigger side effects and other problems in the process. Consider… Read More »When semantically connected data matters most
Image by Gerd Altmann from Pixabay Every week, I watch emerging tech markets evolve and try to ponder what the changes mean in terms of… Read More »Defining transformation in the era of AI + FAIR data
Takeaways from my July 2024 interview with cloud architect and author David Linthicum David Linthicum Wall Street now agrees that generative AI is past the… Read More »A generative AI reality check for enterprises
Image by Eleanor Smith from Pixabay Networking technologists and social scientists alike know what the Meltcalfe’s Law is. It’s popularly known as the Network Effect.… Read More »How to make dumb AI networks smarter
Organizations rely heavily on data warehouses and data lakes to store and manage vast information in today’s data-driven world. Maintaining high performance becomes a critical… Read More »The impact of data governance on data warehouse performance
Credit card fraud is a growing problem that affects millions worldwide and costs businesses billions of dollars every year. As fraudsters become more sophisticated, traditional… Read More »How machine learning detects credit card fraud
Managing patient data is a massive challenge in healthcare due to the large amounts of information involved. Reverse ETL is a modern data integration method… Read More »Reverse ETL in healthcare: Enhancing patient data management
Today businesses increasingly rely on data-driven insights for strategic decisions, making data analysts hold the critical responsibility of scrutinizing and interpreting complex data sets to… Read More »How a data analyst career can be stressful
Building a data-driven culture is all about leveraging data to make decisions and solve problems. In such organizations, people rely on data to guide their… Read More »How data governance contributes to a data-driven culture
