Who is on the AI Team? [AI Today podcast]
Who is on the AI Team?
AI system transparency is about how we manage and run our AI systems. Transparency needs to address how you plan to provide visibility or transparency into how AI systems are created or applied. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the transparent layer of AI as part of …
In the context of technology adoption, “crossing the chasm” refers to the pivotal moment when an emerging technology moves beyond the early adopters and innovators phase to reach the early majority of users. This concept, popularized by Geoffrey A. Moore in his book “Crossing the Chasm,” highlights the gap or “chasm” that exists between the …
What is pseudo AI? While AI is all about machines that have the intelligence like people, Pseudo AI or “AI washing” is when a company or product claims that AI is being used for a specific task or feature, but in reality, it’s people doing that task. In the startup world, “faking it until you …
Pseudo AI: Still a Thing, Still a Problem [AI Today Podcast] Read More »
What is a responsible AI? AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you …
Trustworthy AI Series: Responsible AI Concepts [AI Today Podcast] Read More »
What are the 5 ethics in artificial intelligence? AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and …
Trustworthy AI Series: Ethical AI Concepts [AI Today Podcast] Read More »
In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI …
It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. And, Large Language Models (LLMs) have been proving useful for a variety of things such as helping write text, write code, generate images, and help augment human workers. However, as people are using …
AI Glossary Series: Retrieval Augmented Generation (RAG) [AI Today Podcast] Read More »
How many categories of AI are there? Artificial Intelligence and machine learning is maturing considerably. You can now find AI projects in every industry. At Cognilytica, we spend a considerable amount of time on use cases and how different industries are using AI. As we analyze hundreds of different use cases, interact with many customers, deliver …
Revisiting the Seven Patterns of AI in 2024 [AI Today Podcast] Read More »
AI projects are really data-centric projects. After all, data is the heart of AI. So it should come as no surprise that project managers who are managing AI projects need to move beyond just general project management skills. These provide a good foundation for managing schedules, resources, and the people needed to meet organizational goals. …
AI Today Podcast: The Critical AI and Data Skills Needed for AI Project Managers Read More »
In this episode of the AI Today podcast we want to look at some of the biggest trends in AI, including where AI is headed in 2024 and what this means for you. Generative AI Gets Embedded in Everything The ease and availability of Generative AI makes it easy to embed in everything. Maybe too …
AI Today Podcast: Looking ahead at AI (and AI Today) in 2024 Read More »
Why are so many AI projects failing when they don’t need to be? Various sources are quoting AI project failure rates upwards of 70-80%. At Cognilytica, we have seen thousands of AI projects ourselves and the most of the reasons for these failures can be traced to 10 key reasons. One of those reasons is …
No, Agile and the “Scientific Method” are not Sufficient to Run AI Projects Read More »
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 …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, math, and implementation. However, the history and evolution of AI is also inextricably linked with …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Artificial Intelligence is seen by many as a great transformative tech and the possibilities seem almost limitless to what it can eventually do. Will AI systems one day drive us around? Do our laundry? Mow our lawn? …
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 …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here If you’ve been following coverage of artificial intelligence (AI) in the news, you might have noticed that industries ranging from pharmaceutical to banking to insurance to real estate are being impacted by the range of machine learning …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here: If you have been following the breathless hype of AI and ML over these past few years, you might have noticed the increasing pace at which vendors are scrambling to roll out “platforms” that service the data …
Have you ever dreamed of the day where your car could drive for itself freeing you to do other things, such as reading, catching up on emails, watching a movie, or sleeping rather than focus on the road while in the car? Automotive manufacturers and transportation technology vendors are rapidly progressing us to that goal. …
How Autonomous Vehicles Fit into our AI-Enabled Future Read More »
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, …