The Seven Patterns of AI
There are 7 common patterns of AI applications that apply to all AI use cases.
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Cognilytica’s Classification of the AI Vendor Ecosystem: Part II
[Part I of this article here] In our previous article, we explained our classification and categorization of the AI vendor landscape. With almost 3000 vendors to classify in ways that were useful this was no small feat. If you haven’t read that article yet, you should do so now before continuing, because this article builds
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Cognilytica’s Classification of the AI Vendor Ecosystem: Part I
[Read Part II of this article here] Cognilytica tracks almost 3000 companies that offer AI-specific or AI-enhanced products for sale in the market. Like most analyst firms, we call these companies “vendors” because they are offering products for sale verses the enterprise “end users” who are implementing them. However, as you can imagine, there’s a
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Quality Assurance (QA) in the Context of AI
AI operationalization is different than traditional deployment and putting things into “production”. But if it’s different for deployment and different in development, then it follows that AI projects are unlike traditional projects even with regards to QA. Simply put, you don’t QA AI projects like you QA other projects. This is because the concept of what we’re testing, how we test, and when we test is radically different in AI Projects.
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No, Data is NOT the New Oil
In our many travels, conferences, speaking engagements, and other interactions with customers, technology vendors, press and others, we seem to often hear the same refrain: “Data is the new oil” as if that’s supposed to mean something profound. The first time we heard this expression (over a decade ago, we should add), it was an
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Operationalizing AI
When AI practitioners talk about taking their machine learning models and deploying them into real-world environments, they don’t call it deployment. Instead the term that’s used in the industry is “operationalizing”. This might be confusing for traditional IT operations managers and applications developers. Why don’t we deploy or put into production AI models? What does
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What is Artificial Intelligence?
Cognilytica is excited to share the “What is Artificial Intelligence” white paper we wrote in collaboration with the Consumer Technology Association (CTA) in 2018. Read the white paper in full below or download in the link at the end. Executive Summary: The Intelligent Machine One way to describe artificial intelligence (AI) is the ability of
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Assisted Intelligence vs. Augmented Intelligence
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here In the conversation around the application and adoption of artificial intelligence (AI) and cognitive technologies, two recurring types of solutions usually come up: AI solutions meant to work in conjunction with people to help them accomplish their
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AI in the Context of Digital Transformation
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here In the enterprise, no buzzword is as buzzy as the term “digital transformation”. If you spend any amount of time reading whitepapers, analyst research, or attending webinars you’ll see the term digital transformation used in conjunction with
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Does Fake it Till You Make It Work in AI?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Even though artificial intelligence (AI) and cognitive technologies have been around even longer than the electronic computer has been around, AI seems to get stuck in this perpetual trap where AI fantasy doesn’t meet reality. People’s hopes
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Are people overly infatuated with Deep Learning, and can it really deliver?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here One of the factors often credited for this latest boom in artificial intelligence (AI) investment, research, and related cognitive technologies, is the emergence of Deep Learning AI algorithms, and the corresponding large volumes of big data and
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20 AI-Focused Podcasts to Listen To
Cognitive technologies are advancing at a rapid pace and it’s hard to always keep up to date on everything. That’s why Cognilytica has compiled a list of 20 AI-focused podcasts to help keep you up to date on everything going on related to AI, ML, and cognitive technologies. We’ve listed our 20 favorite podcasts below
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Explainer Video: What are the AI Winters?
Cognilytica‘s latest #Explainer #video just released today on the #AI #Winters. What are the AI Winters? What caused them? And what does the future hold? Check out this video and let us know your thoughts! #artificialintelligence #AI #Winter #analysts
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Is Cognitive Technology a Better Term than Artificial Intelligence?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here One of the challenges for those tracking the artificial intelligence industry is that, surprisingly, there’s no accepted, standard definition of what artificial intelligence really is. As Rodney Brooks puts it starkly in the recently released “This is
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Are We Heading to Another AI Winter?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Amongst all this hype and bandwagon jumping on Artificial Intelligence (AI), Machine Learning (ML), and Cognitive Technologies is also a sense of unease. How is it that a technology that has roots going back as far as
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You’ve Heard of Robots; What are Cobots?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Czech writer Karel Čapek first coined the term ‘Robot’ in his 1920 play R.U.R. about a dystopian future in which artificial, manufactured “roboti” act human-like and perform tasks in servitude to their human masters, only to later
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Not all Machine Learning (ML) Is Artificial Intelligence (AI): Part II
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here One of the great things about being an analyst at Cognilytica is that we get to see a very wide range of technologies, adoption patterns, and implementations for technology across a very disparate set of industries and
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Is Machine Learning really AI?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: One of the downsides to the recent revival of popularity of Artificial Intelligence (AI) is that we see a lot of vendors, professional services firms, and end users jumping on the AI bandwagon labeling their technologies, products,
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The AI-Enabled Future
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Crafting a Vision for the AI-Enabled Future Artificial Intelligence (AI) represents an interesting paradox. On the one hand, the goals of systems that can behave with the intelligence of humans, perceiving their environment around them, understanding and
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Automation is Not Intelligence
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here The AI Hype Train Has Left the Station You know you’re in the middle of a hype cycle when every industry has products that use some buzzword, regardless of whether or not they have the technical merit
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Will There Be Another AI Winter?
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: Just like the change of the seasons, it’s natural to think about the process of birth, growth, plateau, then decline. Technology goes through similar birth, growth, and death processes. From the beginning invention to its wide-eyed hype
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Cognilytica’s AI Positioning Matrix (CAPM)
“It’s not the position, but the disposition.” — Susan Sontag, Author Why is a Positioning Matrix Needed? The market for artificial intelligence (AI) products and services continues to expand at a dramatic pace. Every day there’s a new development or announcement of a new AI product, service offering, technology, and application of AI. How can
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Top AI and ML Podcasts
It seems that everywhere you turn, there is talk about artificial intelligence (AI) and how it’s going to change the world for better or worse. Mark Zuckerberg and Elon Musk are currently in a public feud about whether AI is a doomsday scenario and “fundamental risk to the existence of human civilization”. In order to
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The AI Reading List
Like many of you, we’re constantly learning and reading about Artificial Intelligence (AI) and related areas. Below are our collected articles and research papers that we’ve found useful: What is AI Google Brain Lecture http://blog.ycombinator.com/jeff-deans-lecture-for-yc-ai/?src=hn What is AI http://searchcio.techtarget.com/definition/AI https://qz.com/1034972/the-data-that-changed-the-direction-of-ai-research-and-possibly-the-world/ http://www.alanturing.net/turing_archive/pages/reference%20articles/what_is_AI/What%20is%20AI02.html http://www-formal.stanford.edu/jmc/whatisai/ Deep Learning https://medium.com/@andrewng/deeplearning-ai-announcing-new-deep-learning-courses-on-coursera-43af0a368116 https://news.ycombinator.com/item?id=14958779 Machine Learning https://techcrunch.com/2017/08/08/the-evolution-of-machine-learning/ General/Strong AI (Artificial General Intelligence) https://docs.google.com/presentation/d/119VW6ueBGLQXsw-jGMboGP2-WuOnyMAOYLgd44SL6xM/preview#slide=id.g1e3df2d686_0_12
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