Keeping with our tradition of bringing “human consumable” understanding of all things technology, we give you a nine minute overview of ChatGPT. Let us remember what this is really all about – processing data. With this technology, we are processing data faster. The fuel is data. What you need to be aware of is the data quality that is being processed. What is the quality of the data being processed?

Do you really feel safe experimenting with AI right now? I mean really safe? The answer, at best, should be I am not sure. Well, that is a good answer. So, for $100 investment, plus approximately $40 a month, you can set up a completely independent environment and play all you want. And maybe some of that playing around can then be translated into your production environment – personal or company. Have a listen.

Yes, we are in the information age, and moving out of the internet age. The key driver in the information age – the fuel/oil is data, that organizations can use to create information that has value. Let us discuss these terms and the concepts of an Information Strategy.

Wayne Gretzky is a G.O.A.T. – Greatest Of All Time. He holds many records in the National Hockey League. But what can he teach us as Technology Professionals, Enterprise Architects or Business Architects? Have a listen to this Podcast!

Much is being speculated and written about the numerous world-wide legal issues facing Google. Perhaps addressing these legal issues can be done by Google removing the word “search” and replacing it by “Forum” – The Google Forum. Why? Because Google is not a search engine. Yes, we need a real search engine. This broadcast outlines how Google (and others) can keep doing what they are doing but invest in building a real search engine next to their Forum. A Forum is very different than a Search Engine.

This recent article in CIO caught my attention. The article describes the five practices this author feels is a cause of digital innovation implementation issues. Practice two specifically caught my attention. Practice two is “You’re retaining waterfall planning but demanding agile delivery”. My analysis and commentary suggest, if this author has accurately described the “agile mindset”, I believe we have discovered a fundamental “flaw” in agile practices. Your comments are welcome.

Why aren’t our Stakeholders reacting to our Enterprise Architecture or Business Architecture deliverables we provide? Perhaps one reason is that we expect “one and done” – we provide them with the deliverables and expect their understanding and reaction. Well, this is where the number seven has relevancy. Have a listen!

Shadow AI! – the use of public AI engines by stakeholders – both business and technology professionals, outside the prevue of the Technology Organization. Everything from privacy, customer data, trade secrets, confidential data, and personal data is exposed outside of the Enterprise walls. It is now time to look at these possibilities and establish not only policies but also a strong education campaign and a Data Architecture that is the pinnacle of the appropriate usage pyramid.