Data science implications of a second gilded age
Wirestock on Freepick Mark Twain coined the term The Gilded Age when he published his 1873 novel The Gilded Age: A Tale of Today. Between… Read More »Data science implications of a second gilded age
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Data Science
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.
Large action models and the promise of true agency
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on… Read More »Large action models and the promise of true agency
What is the Modern Data Stack?
In the rapidly evolving landscape of data management and analytics, the concept of the Modern Data Stack has emerged as a powerful solution to harness… Read More »What is the Modern Data Stack?
Reducing insurance loss ratios with data science and AI algorithms
Insurance plays a pivotal role in providing financial security against unforeseen risks and losses. A critical metric for evaluating the financial performance and health of… Read More »Reducing insurance loss ratios with data science and AI algorithms
A few enterprise takeaways from the AI hardware and edge AI summit 2024
Image by Gerd Altmann from Pixabay A few enterprise takeaways from the AI hardware and edge AI summit 2024 Enterprises haven’t seemed as enthusiastic about… Read More »A few enterprise takeaways from the AI hardware and edge AI summit 2024
Deep Reflections on Mycelium, Neural Networks, & AGI
Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural… Read More »Deep Reflections on Mycelium, Neural Networks, & AGI
Quantum leaps in machine learning: Pushing the boundaries of AI capabilities
Image credit: commons.wikimedia.org Machine learning has come a long way in a short time, and it seems like every day, we’re reading about a new… Read More »Quantum leaps in machine learning: Pushing the boundaries of AI capabilities
How to utilize AI for improved data cleaning
You spend most of your workweek preparing and cleaning datasets. What if you could cut that time in half? With AI, you could streamline your… Read More »How to utilize AI for improved data cleaning
A 12-step FAIR data fabric program for recovering application addicts
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
When semantically connected data matters most
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