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.
Machine learning enables systems to analyze data and make decisions without manual intervention. However, reliability hinges on the quality of the information they use. Data… Read More »How to ensure data consistency in machine learning
Data centers are consuming a massive amount of power. The easiest solution is to raise temperatures, driving resource utilization down. However, that complicates hardware preservation… Read More »Optimizing data center energy consumption with predictive analytics
As someone who has spent years navigating the exciting and unpredictable currents of innovation, I recently had the privilege of joining Chris Kalaboukis on his show, Think Future.… Read More »A vision for the future of AI: Guest appearance on Think Future 1039
Introduction Sentiment analysis, also known as opinion mining, is a powerful concept in the Natural Language Processing (NLP) technique that interprets and classifies emotions expressed… Read More »Sentiment analysis at scale: Applying NLP to multi-lingual and domain-specific texts
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
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
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?
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
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
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
