Regulating Generative AI
How Well Do LLMs Comply with the EU AI Act? As generative artificial intelligence (AI) remains on center stage, there...
Generative AI Ethics
Key Considerations in the Age of Autonomous Content With all the hubbub surrounding generative artificial intelligence (AI), there are an...
GenAIOps: Evolving the MLOps Framework
Generative AI Requires New Deployment & Monitoring Capabilities Way back in 2019, I published a LinkedIn blog titled Why You Need...
AI Entropy: The Vicious Circle of AI-Generated Content
Understanding and Mitigating Model Collapse Introduction Imagine if you could clone yourself to be in multiple places at once, handling...
Business Applications of Generative AI
How to Use Generative AI to Create Business Value Understanding the Power of Generative AI For those who haven’t been...
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...
Digital Marketing in the Age of AI Disruption (Part 2)
Marketing has always been awash in data and it shouldn’t surprise anyone that AI has been used in digital marketing for quite some time. In fact, a survey by an analyst firm highlighted that 67% of marketers were already using AI in 2022 compared to 33% who were not.[i] For the most part, AI is being used where two conditions exist: 1. The tasks are well defined and repeatable, and 2. The data is relatively self contained
Digital Marketing in the Age of AI Disruption (Part 1)
Back to the 90s with the WWW We’ve all seen the headlines, artificial intelligence (AI) is either a) going to...
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...
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.