In this two-part broadcast, we will recap the use/misuse of the internet and its information sources for research on topics in various fields. Part two of this two-part broadcast will then look at AI and what is happening in the same arena. This is only one lesson that provides a stark and frightening example of AI “shortcutting” rather than doing actual work. Yes, there are solutions.

In this two-part broadcast, we will recap the use/misuse of the internet and its information sources for research on topics in various fields.  We go back to our experiences with graduate students in two different universities and the consequences of using unvetted information sources instead of actually doing the work required.  Part two of this two-part broadcast will then look at AI and what is happening in the same arena.

You are what you eat. AI engines are what data they consume. If AI needs to be “cured” or wants to be “cured,” it starts by admitting what it has consumed. Yet we hear that the training data for an AI vendor is proprietary. Well, let us examine this.

In this Broadcast, we will define Business Architecture, what it is, its components, audience, and its output – Business Capabilities to achieve the Organization’s Goals, and Objectives.

First-Mover is not automatically a win. Each industry and technology need to be looked at through two dimensions – Market Evolution Speed and Technology Evolution Speed. A simple two-dimensional representation of these two factors in your industry/market can give you a quick gauge of where you are, should be, and what your competitors are doing. What is your approach to AI?

This Broadcast will outline mistakes organizations have made in training their staff in Enterprise Architecture or Business Architecture.  As you will hear, the most common mistakes are easily avoided to enhance the effectiveness of training and certification programs.

In this direct reading of an article by Johnathan Turley, published in USA Today, Professor Turley recounts his horrifying experience with an AI “published” article about himself. Could it happen to you and me?

This Broadcast will discuss these three growing concerns that most of the CIO’s we have interfaced with are trying to address.  Quite simply, these three debts are stifling innovation and inhibit organizational agility.  Let us discuss how to get started in identifying where we should start before we start!

Malware, Misinformation, and Disinformation – they are different, and they are something we need some thoughts around as we move more into Artificial Intelligence. This Real Talk episode will define each of these, and how we suggest these are more important than ever to understand in the Artificial Intelligence world, we are entering.

We bring to you a summary of an article penned by Eric Griffith outlining what he considers nineteen tech myths that some people believe. We cover each one of these myths, with a bit of explanation of some, and possibly a bit of humor. Enjoy!