Dr. Jerry Smith welcomes you to another episode of AI Live and Unbiased to explore the breadth and depth of Artificial Intelligence and to encourage you to change the world, not just observe it!   Dr. Jerry is talking today about Cognitive Services, which is the second part of the evolutionary optimized digital surrogate-based predictions causal AI-driven digital transformation life cycle. Listen to this episode to find what Cognitive Services are, why they are important to businesses, how to identify four key cognitive attributes to your services, and three of the most important services you should start using today.   Key Takeaways: Before starting with today’s cognitive services, Dr. Jerry goes back a few years to lead us to where we are now. In 2016, cognitive services started, but a lot of them were just promises that did not bring economic value. Cognitive services missed the connection with the business side, but causality changed that. What are Cognitive Services? Cognitive relates to conscious and mental activities. If you are using AI to help you make decisions that relate to your customers, you need to have someone that relates to Cognitive Psychology and understands the psychology of people and the sociology of groups. Examples of cognitive services are Speech and Image recognition, Text to Speech, Speech to Text, and searching through vast amounts of information. What is Cognitive Computing and what are some of its benefits? Cognitive computing is the use of computerized cognitive models to simulate human thought processes. One benefit of cognitive computing is that it performs well in complex situations where answers and data are ambiguous and uncertain. What constitutes cognitive computer systems? Four primary characteristics: Cognitive computer systems have to be highly adaptive, they have to be flexible enough to learn as information changes. Cognitive computer systems have to be interactive. Iterative and stateful. Cognitive computer technology can identify problems by asking questions if the state of the problem is vague or incomplete. Cognitive computer systems have to be contextual since understanding the context is probably the most critical process in the causal AI digital transformation cycle. Cognitive computing is not AI; it uses AI and AI uses cognitive computing. Cognitive computing is used when you are dealing with human characteristics in industries like health care and services. Cognitive computing is more about being human than being a machine. What is data science? Data science is the process of studying data, you always get value out of it. Machine learning learns the characteristics of the data in different variables in order to make predictions. AI is all about making decisions based on the machine learning models and the predictions of tomorrow and asking what are we going to be doing tomorrow as a consequence of that. What are some of the top cognitive services today? Computer vision: consists of pulling out actual information from images. Emotion: Analyzing faces and bodies to detect emotional ranges of mood. Face: Identify similar faces. Content moderation is automatically moderating text, images, or videos, and has profound importance to our society. Why are cognitive services important? Cognitive services allow us to drive behavioral insights from data. Data has no intrinsic value; the value of data comes in how we process it, how we look at it, and what questions we ask (which are very subjective and will give different outcomes). Behavior, behavior, behavior.   Stay Connected with AI Live and Unbiased: Visit our website AgileThought.com Email your thoughts or suggestions to Podcast@AgileThought.com or Tweet @AgileThought using #AgileThoughtPodcast!   Learn more about Dr. Jerry Smith