Recent Blogs
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.
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.
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.
For those who haven’t been paying attention, generative AI has taken the world by storm. One of the more popular services is ChatGPT, an AI-powered chatbot created by OpenAI, which was released in November 2022.
In Part 1 of this series, we discussed the parallels between the current hype surrounding artificial intelligence (AI)–especially with ChatGPT and Bard with three other transformative technological changes that molded human history.
In Part 1 of this series, we discussed the parallels between the current hype surrounding artificial intelligence (AI)–especially with ChatGPT and Bard with three other transformative technological changes that molded human history. These included:
We’ve all seen the headlines, artificial intelligence (AI) is either a) going to mark the end of humanity, or b) make the world a better place. With all the hype surrounding generative AI and ChatGPT,
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