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.
Business Applications of Generative AI
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.
Digital Marketing in the Age of AI Disruption (Part 3)
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.
Digital Marketing in the Age of AI Disruption (Part 2)
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:
Digital Marketing in the Age of AI Disruption (Part 1)
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,
Busting AI Myths: Getting Started with AI
Have you started using artificial intelligence (AI) and machine learning (ML) in your analytics initiatives? What kind of results are you seeing?
Four Steps to Remove AI Waste
When you think about decision making in the context of those steps, you realize that the information value of data is perishable, and it decays with time. If you remove the analytics waste from your decision-making process, you can become much more competitive.
Beyond the Hype, Towards a Pragmatic Definition of Artificial Intelligence
Given the historical context and a high-level definition of how AI is applied, how can we create a practical definition of AI? In my mind, the definition of AI is quite simple. Artificial Intelligence = Data + Analytics + Automation