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Colorado Artificial Intelligence Since 2017
Personalize digital experiences at scale with AI.
Ok, Let me get this out of the way first. Artificial Intelligence and Machine Learning are very closely related and connected. Because of this relationship, when you look into AI versus Machine Learning you're really looking into their interconnection. While AI and Machine Learning are very closely connected, they're not the same. Machine Learning is considered a subset of AI.
Colorado Customers

Some information I know about Colorado is I believe the state was admitted or ratified to the United States around or about 'August 1, 1876'. Colorado is located around latitude '39.113014' and longitude of '-105.358887' and has a population of roughly '5,773,714 million'. If I remember correctly the capital is 'Denver' and the largest city is 'Denver'.
What is Artificial Intelligence (AI)?
It is important to note the definition of Artificial Intelligence has changed over the years. Definitions of Artificial Intelligence began to shift based upon the goals that are trying to be achieved with an AI system.
In 1955 Artificial Intelligence (AI), a term coined by Emeritus Stanford Professor John McCarthy was defined by him as "the science and engineering of making intelligent machines".
In the 1960s and the 1970s researchers were convinced that symbolic approaches would eventually succeed in creating a machine with artificial general intelligence and considered this the goal of their field. Herbert Simon predicted, machines will be capable, within twenty years, of doing any work a man can do. Therefore operate without human intervention.
As of mid 2022 Artificial Intelligence is more of Expert Systems with the base of Machine Learning that AI. Until AI has true reasoning, problem-solving WITHOUT imitated human creation of steps we are not to AI yet. We are taking baby steps to get there.
Artificial Intelligence today is the capability of a computer system to mimic human cognitive functions such as learning and problem-solving. Many confuse Machine Learning with Artificial Intelligence. Through AI, a computer system uses math and logic to simulate the reasoning that people use to learn from new information and make decisions.
Word of Mouth
Take a moment to read related case studies and testimonials below around my experience with Artificial Intelligence.
Case Study
Food Lion needed solutioning around customer search, customer preferences, customer digital wallet with gamification which I solutioned for IT to create for Sales and Marketing.
"Special thanks to Eddie, who joined me in burning the midnight oil this week."
1/21/2018
Wilson Schmidt | USA
DiPLA Business Analyst
Delhaize
Case Study
Food Lion needed solutioning around developing customer centric analytics, search history, search preferences, faster website search, more relevant search and faster caching. I created all of those in record time and Google ranked my POC eCommerce site the fastest they had tested at the time.
"Eddie this is a really good start at troubleshooting this! (Production Issue)"
1/16/2018
Jon Nebauer | USA
DiPLA Solutions Manager
Delhaize
Case Study
Food Lion had a slow website. I utilized my experience to anamize every aspect of the site performance and provided solutions through Jira ticket creation for a better customer experience.
"Great Catch Eddie, release R3.1.6 seems to be making 200 additional coupon calls in production."
8/11/2017
Kapil Gujar | USA
Performance Test Team
Delhaize
What is Machine Learning?
Machine Learning technology is an application of AI. It's the process of using mathematical models of data to help a computer learn without direct instruction. This enables a computer system to continue learning and improving on its own, based on experience.
How are AI and Machine Learning Connected?
An "intelligent" computer uses AI to think like a human and perform tasks on its own. Machine learning is how a computer system develops its intelligence.
One way to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain. The neural network helps the computer system achieve AI through deep learning. This close connection is why the idea of AI vs. Machine Learning is really about the ways that AI and Machine Learning work together.
If at any point you decide to reach to me just know the area codes I am familiar with for Colorado are '303, 719, 720, 970'. For Artificial Intelligence assistance you will find my rates very reasonable for Colorado. Now just keep in mind my time zone is 'Eastern Standard Time (EST)' and I know the time zones in Colorado are 'Mountain Standard Time (MST)' in case you wish to call me. Anyway let me continue.
How AI and Machine Learning Work Together
When you're looking into the difference between Artificial Intelligence and Machine Learning, it's helpful to see how they interact through their close connection. This is how AI and Machine Learning work together:
Capabilities of AI and Machine Learning
Companies in almost every industry are discovering new opportunities through the connection between AI and Machine Learning. These are just a few capabilities that have become valuable in helping companies transform their processes and products:
Predictive Analytics
This capability helps companies predict trends and behavioral patterns by discovering cause-and-effect relationships in data.
Recommendation Engines
With recommendation engines, companies use data analysis to recommend products that someone might be interested in.
You know, I don't make it out to Colorado much but I would like to see the 'Lark Bunting' state bird. I am a little familiar with the Colorado 'Rocky Mountain Columbine' state flower as well. However, I do not know much about Colorado's state tree the 'Blue Spruce'. Fishing is fun to me perhaps I would like reeling in the Colorado 'Greenback Cutthroat Trout' state fish. Anyway, sorry I went off topic. Let me continue.
Speech Recognition and Natural Language Understanding
Speech recognition enables a computer system to identify words in spoken language, and natural language understanding recognizes meaning in written or spoken language.
Image and Video Processing
These capabilities make it possible to recognize faces, objects, and actions in images and videos, and implement functionalities such as visual search.
Sentiment Analysis
A computer system uses sentiment analysis to identify and categorize positive, neutral, and negative attitudes that are expressed in text.
Need Assistance?
Ever have an idea about a product or service but lack the ability to develop that idea? Are you looking for a reliable person/firm to build your software? Perhaps you are in need of someone to manage projects and teams?
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