Recent Blogs
Understanding Generative AI Business Applications When ChatGPT went mainstream about a year ago, it captured the world’s undivided…
A Strategic Guide for Business Leaders Do you know what happened in 1789? Well, this is when the…
Navigating the Generative AI Matrix Introduction Way back in 1999, the iconic sci-fi film The Matrix was released, where our…
Beyond Predictions: Exploring the Creative and Analytical Sides of AI Last year, when I wrote Beyond the Hype: Towards…
Creating synthetic data to analyze survey data Recently, a colleague of mine asked if I’d be interested in…
Five Key Patterns Every Business Leader Should Know It’s All About the Words From early rock art on…
The Future of B2B Marketing Modern Strategies for the Age of Generative AI Need a copy? You can…
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.
A Live Dive with Dr. Nick Jewell and not-a-Dr. David Sweenor Introduction In our inaugural episode of TinyTechGuides…
A Business Leaders Guide to Providing Context to LLMs The Dawning Age of Generative AI in Business With…
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.
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.
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