Craig Ganssle
Cadre-AI
Founder & CEO, USA
If you’re thinking about automation, complex problem solving via AI technology, look for a company that has real examples as proof of what they have built. Look for case studies on how they went through a meticulous process to get accurate results.
SwissCognitive Guest Blogger: Craig Ganssle, Founder & CEO, Cadre-AI – original post can be seen here
We’ve all had this experience, whether it be a bag of potato chips, or a bag of Doritos like above. You get the party size because you need the most chips for your get together and because it’s a very popular snack item. Doritos are always a big hit.
Whether you decide to put them into a bowl, or just leave the bag for people to help themselves, there’s that moment when you open this large party size bag and realize that it’s only about half, or maybe even only a third, of actual chips. The rest was air. An open space of nothingness. A void within the pretty marketing, and colorful bag with the giant label on the front that says “PARTY SIZE” like a giant call out thinking you know what you need saying here I am, exactly what you’re looking for.
This is what most AI companies are like today. Fancy websites, lots of write-ups on what they think they can do, beautiful stock imagery, and maybe even lots of blog posts from people internally spouting fancy terminology like convolutional neural networks, or generative adversarial networks, trying to impress their readers and possibly even position themselves like they know what they are doing.
But over a period of time, much like with the bag of chips you see above, people begin to realize what they are really getting when they purchase their bag of chips. They already know before they open it the giant voided cavity of air and nothingness waiting for them inside.
Much the same has gone on over the past 5, even 10, years when it comes to artificial intelligence and what enterprise corporations, or even end users, have experienced. Many of these Adobe stock photo hunting companies have created… a stigma. One that so many organizations remember from past experiences that they become exceedingly hesitant to do it again even if they might be working with the right company.
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As I see it, this is a shame. This sort of stigma halts productivity, creates fear and negativity, and depending on the industry ultimately hurts your end users.
Artificial intelligence, or as I like to call it automation intelligence, is a process. Anyone claiming they can do it for you and does not have a process, is giving you a half empty bag of chips.
Building machine and deep learning solutions is not a magic line of code. It is not a super secret algorithm that solves for everything. It is a process and it is ever-changing and evolving differently for each solution you are solving for a problem.
If you’re thinking about automation, complex problem solving via technology, look for a company that has real examples as proof of what they have built. Look for case studies on how they went through a meticulous process to get accurate results. More importantly, look at the value that was achieved. Because there is no purpose to going through the process of building artificial intelligence if it is not adding value.
One great place to start would be reaching out to the number of Global Ambassadors at Swiss Cognitive. These are validated experts in their field who can guide your next project or problem solution.
Craig Ganssle
Cadre-AI
Founder & CEO, USA
Craig has been inventing, building, consulting, and disrupting with technology for over 20 years. He has spoken and presented technology solutions all over the world that solve very complex problems. With solutions in agriculture, AI, large-scale high density network infrastructure, IoT, Manufacturing and much more, he thrives on small team deployment and flawless execution.
If you’re thinking about automation, complex problem solving via AI technology, look for a company that has real examples as proof of what they have built. Look for case studies on how they went through a meticulous process to get accurate results.
SwissCognitive Guest Blogger: Craig Ganssle, Founder & CEO, Cadre-AI – original post can be seen here
Whether you decide to put them into a bowl, or just leave the bag for people to help themselves, there’s that moment when you open this large party size bag and realize that it’s only about half, or maybe even only a third, of actual chips. The rest was air. An open space of nothingness. A void within the pretty marketing, and colorful bag with the giant label on the front that says “PARTY SIZE” like a giant call out thinking you know what you need saying here I am, exactly what you’re looking for.
This is what most AI companies are like today. Fancy websites, lots of write-ups on what they think they can do, beautiful stock imagery, and maybe even lots of blog posts from people internally spouting fancy terminology like convolutional neural networks, or generative adversarial networks, trying to impress their readers and possibly even position themselves like they know what they are doing.
But over a period of time, much like with the bag of chips you see above, people begin to realize what they are really getting when they purchase their bag of chips. They already know before they open it the giant voided cavity of air and nothingness waiting for them inside.
Much the same has gone on over the past 5, even 10, years when it comes to artificial intelligence and what enterprise corporations, or even end users, have experienced. Many of these Adobe stock photo hunting companies have created… a stigma. One that so many organizations remember from past experiences that they become exceedingly hesitant to do it again even if they might be working with the right company.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
As I see it, this is a shame. This sort of stigma halts productivity, creates fear and negativity, and depending on the industry ultimately hurts your end users.
Artificial intelligence, or as I like to call it automation intelligence, is a process. Anyone claiming they can do it for you and does not have a process, is giving you a half empty bag of chips.
Building machine and deep learning solutions is not a magic line of code. It is not a super secret algorithm that solves for everything. It is a process and it is ever-changing and evolving differently for each solution you are solving for a problem.
If you’re thinking about automation, complex problem solving via technology, look for a company that has real examples as proof of what they have built. Look for case studies on how they went through a meticulous process to get accurate results. More importantly, look at the value that was achieved. Because there is no purpose to going through the process of building artificial intelligence if it is not adding value.
One great place to start would be reaching out to the number of Global Ambassadors at Swiss Cognitive. These are validated experts in their field who can guide your next project or problem solution.
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