Let us take a knowledge graph, or more generally any directed graph, and represent it as a matrix (see below). In matrix form we can… Read More »Computing distant connections in financial knowledge graphs
I have written many blog posts discussing using Generative AI (GenAI) tools such as OpenAI ChatGPT, Microsoft Copilot, and Google Gemini to improve professional efficiency… Read More »Your Personal GenAI Innovation Curriculum
Optimize Retrieval-Augmented Generation (RAG) models by enhancing vectorization, utilizing multiple data sources, and choosing the right language model for improved performance.
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
For all the negative reasons that AI was in the news in the last year, regarding harms and misuses, what did Anthropic or OpenAI offer,… Read More »OpenAI and Anthropic: Hopes for AI alignment and safety should not be centralized
As both a major funder of climate change initiatives as well as one of the largest economic beneficiaries of Open AI, Bill Gates’ claim that… Read More »Are Bill Gates’ energy expectations for AI optimism or realism?
In the ever-evolving landscape of the fashion industry, the concept of “localization” has gained immense importance. With globalization expanding the reach of fashion brands across… Read More »The importance of assortment localization and size localization in fashion: Leveraging data science for fashion localization
Image by Gerd Altmann from Pixabay The considerable advantage of the internet and the web is that together they boosted the global economy dramatically. By… Read More »The rationale for open data stewardship in an AI age
Leveraging AI and data effectively has become crucial to organizational success in a rapidly evolving digital landscape. The “Thinking Like a Data Scientist” (TLADS) methodology,… Read More »Blending Data Science and Design Thinking for Strategic Advantage
