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.
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has traversed the Navy to the forefront of commercial cybersecurity. The discussion focused on the strategic deployment of AI in cybersecurity, highlighting the use of open-source models and the benefits of local deployment to secure data effectively.
Roundtable Discussion with Rebecca Bultsma and Ahmad Jawad In the latest episode of the AI Think Tank Podcast, we ventured into the rapidly evolving intersection… Read More »Implementing AI in K-12 education
Presentation and discussion with Suman Aluru and Caleb Stevens In the latest episode of the “AI Think Tank Podcast,” I had the pleasure of hosting… Read More »Retrieval augmented fine-tuning and data integrations
Window functions are an advanced feature of SQL that provides powerful tools for detailed data analysis and manipulation without grouping data into single output rows,… Read More »Using window functions for advanced data analysis
Interview with Gerry Chng In our very first public episode of AI Think Tank Podcast, I had the pleasure of hosting Gerry Chng, live from… Read More »Human-centric AI through better transparency and disclosure
Image by Steve Buissinne on Pixabay Lowest common denominator (LCD) data science is the unthinking variety of data science that doesn’t question the prevailing wisdom… Read More »Ways LCD data science undermines more thoughtful approaches to AI
In today’s corporate market, firms must constantly seek new methods to leverage technological breakthroughs to stay ahead of the curve. Generative AI is a prominent… Read More »Breaking barriers: How generative AI is reshaping the data analytics landscape
Colors not only make things beautiful around us, but they are also an effective method for describing something. People find psychological associations with color. For… Read More »What is the significance of color in data visualization?
Interview with Dave McComb, President of Semantic Arts Image by Gerd Altmann from Pixabay At the beginning of his career, Dave McComb was having fun… Read More »GAI, application sprawl, and the universal need for data-centric architecture
Digital transformation represents a crucial pivot in today’s business world, marking the transition from traditional practices to a more integrated, data-driven approach. API (Application Programming… Read More »API management tools in facilitating digital transformation
