Artificial Intelligence and machine learning has matured considerably over the past few years. We can now find AI projects in every industry and across every potential application and project type. In our AI vendor classification matrix, we identified over 3000 vendor companies across over 100 subsegments of the AI market implementing a wide range of …
[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 …
Cognilytica’s Classification of the AI Vendor Ecosystem: Part II Read More »
[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 …
Cognilytica’s Classification of the AI Vendor Ecosystem: Part I Read More »
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.
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here 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 …
[Image source: Pixabay] This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here 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 …
Cognilytica is excited to present the “What is Artificial Intelligence” white paper we wrote in collaboration with the Consumer Technology Association (CTA). One way to describe artificial intelligence (AI) is the ability of machines to exhibit the intelligence of humans. People have been working on the development of AI systems for over half a century. …
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 …
Assisted Intelligence vs. Augmented Intelligence Read More »
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 …
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 …
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 …
Are people overly infatuated with Deep Learning, and can it really deliver? Read More »
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 …
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
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 …
Is Cognitive Technology a Better Term than Artificial Intelligence? Read More »
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 …
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 …
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 …
Not all Machine Learning (ML) Is Artificial Intelligence (AI): Part II Read More »
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, …
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 …
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 …
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 …
“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 …
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 …
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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