Exploring ChatGPTs Advanced Data Analysis Capabilities
Creating synthetic data to analyze survey data Recently, a colleague of mine asked if I’d be interested in analyzing survey...
Generative AI’s Real-World Use Cases that Create Value for Insurers
Five Key Patterns Every Business Leader Should Know It’s All About the Words From early rock art on cave walls...
Author Interview: Modern B2B Marketing
The Future of B2B Marketing Modern Strategies for the Age of Generative AI Need a copy? You can get one...
Author Interview: Mastering Modern Data Stack
In our inaugural episode of TinyTechGuides Talks, I was fortunate to have the opportunity to interview Dr. Nick Jewell, a modern-day data aficionado and the author of Mastering the Modern Data Stack, which was ranked #6 on the Amazon U.K.’s best seller for data management books.
From Lock and Key to a Modern Data Stack: A Dive into Nick Jewell’s Data-driven Journey
A Live Dive with Dr. Nick Jewell and not-a-Dr. David Sweenor Introduction In our inaugural episode of TinyTechGuides Talks, I...
Generative AI’s Force Multiplier: Your Data
A Business Leaders Guide to Providing Context to LLMs The Dawning Age of Generative AI in Business With the launch...
Regulating Generative AI
As generative artificial intelligence (AI) remains on center stage, there is a growing call for regulating this technology since it can negatively impact a large population quickly. Impacts could take the form of discrimination, perpetuating stereotypes, privacy violations, negative biases, and undermine basic human values.
Generative AI Ethics
With all the hubbub surrounding generative artificial intelligence (AI), there are an increasing number of unanswered questions about how to implement this transformative technology responsibly. This blog will review the European Union (EU) AI ethics guidelines and discuss key considerations for implementing an AI ethics framework when large language models (LLMs) are used.
GenAIOps: Evolving the MLOps Framework
Way back in 2019, I published a LinkedIn blog titled Why You Need ML Ops for Successful Innovation. Fast forward to today, operationalizing analytic, machine learning (ML), and artificial intelligence (AI) models (or rather, systems) is still a challenge for many organizations.
AI Entropy: The Vicious Circle of AI-Generated Content
Imagine if you could clone yourself to be in multiple places at once, handling all your responsibilities effortlessly. Remember the sci-fi comedy film Multiplicity (circa 1996), where Doug Kinney (played by Michael Keaton), clones himself to manage his work and personal life.