Why are so many AI projects failing? Different analyst firms, consultancies, and integration firms cite over 70% of AI projects are failing to meet their objectives. Many of these projects are halted or otherwise terminated. But what are the reasons for these failures? Is the AI technology bad? Are the technologists inexperienced? Is there some …
Why is the ROI of AI out of alignment with reality? Read More »
CPMAI Methodology is a proven, best practices methodology for data-forward organizations looking to successfully run AI, ML, and advanced analytics projects. This self-paced, vendor neutral course gives your team the knowledge you need to not make common mistakes that lead to project failure. Get certified now for the CPMAI Methodology and Certification. Get certified for …
Do AI Right: Get Certified with CPMAI Methodology 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 »
Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on …
While the terms Digitization, Digitalization, and Digital Transformation might seem to be referring to the same things, they actually embody three different concepts of bringing non-digital aspects of the organization into a digital state. In this infographic from Cognilytica we dig deeper into the differences between these three terms. Related Links:
Machine Learning Model Operationalization Management, referred to as “MLOps”, is focused on the lifecycle of model development and usage, machine learning model operationalization, and deployment. Cognilytica recently published a report on this topic that examines the ML Operationalization Management market. In this infographic we highlight key findings from the report. Relevant Links: ML Model Management …
The food industry has been embracing AI for many food processing related tasks. AI is now able to help chefs develop new favor profiles and recipes. Computer vision technologies are able to ensure workers are following food safety protocols and can detect violations in real time. Robots are being used to help sort produce and …
Achieving Common Sense with AI is hard however people have been trying to do this for many years. Cyc, the longest running AI project has been addressing common sense for 36 years. In this infographic from Cognilytica we share various ways that researchers and companies are trying to achieve common sense for AI and ways …
Infographic: Where are we with Common Sense and Machine Reasoning? Read More »
Companies of a wide range of sizes and industries are increasingly gaining value from content intelligence. The use cases for content intelligence are broad and span many industries with content intelligence increasingly being leveraged across a range of automation platforms including robotic process automation (RPA) or business process management (BPM). Companies that apply content intelligence …
The pace of worldwide adoption continues to accelerate. Not only are companies and researchers competing with each other for advantage in the world of artificial intelligence and machine learning, so too are entire countries. As such, countries need to figure out what laws and regulations should be put in place to help manage this new …
The race for competitive advantage in artificial intelligence (AI) is not just the domain of companies and organizations. Countries vie with each other for dominance in the space of AI as well. In this infographic we share key findings from Cognilytica’s Worldwide Country AI Strategies and Competitiveness 2020 report. Relevant Links: Worldwide Country AI Strategies …
Infographic: Worldwide Country AI Strategies and Competitiveness 2020 Read More »
Artificial intelligence (AI) continues to gain traction worldwide in a range of applications and usage scenarios. However, AI is still in the early part of the “early majority” phase with many organizations sitting on the sidelines waiting for do-or-die reasons to implement AI. In reality, global adoption of AI is strong, especially when looking past …
Infographic: Global AI Adoption Trends & Forecast Read More »
Garbage in is garbage out in computing, and it is especially the case with regards to machine learning data. In this infographic from Cognilytica we go over key insights and figures from the recent Data Preparation & Labeling for AI 2020 Report including the fact that data labeling is expensive, humans are still needed for …
INFOGRAPHIC: Data Preparation & Labeling for AI 2020 Read More »
Document ID: CGWP109 | Last Updated: January 2, 2020 Artificial intelligence has been around for many decades, and as such, is not a new concept to the government, military, and defense industries. In fact, many of the first early advances in AI came out of military applications and defense funding[1], with funding originating from Defense …
White Paper: Predictive Analytics & Predictive Maintenance with AI Read More »
If you’ve been following coverage of artificial intelligence (AI) in the news, you’ll see that industries and processes ranging from customer service, commerce, journalism and news, robotics, and even education are being impacted by the range of machine learning and AI technologies that can broadly be called cognitive technologies. These cognitive technologies change how businesses …
AI and Cognitive Technologies Continuing to Prove Their Strategic Value Read More »
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 …
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’ll see that industries and processes ranging from banking, hospitality, food service, recruiting, and even back office operations are being impacted by the range of …
Further Evidence of AI’s Transformation of Different Industries Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here When people hear about the race for Artificial Intelligence (AI) dominance, they often think that the main competition is between the US and China. After all, the US and China have most of the largest and most …
The Race for AI Dominance is More Global Than you Think Read More »
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Anyone observing the news can see that artificial intelligence and machine learning are getting lots of attention. It goes without saying that startups are playing into this trend and raising more money than ever, as long as …
Is Venture Capital investment in AI Realistic or Out of Control? Read More »
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? …
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 …
The field of artificial intelligence continues to grow and evolve daily. To keep up-to-date on all the latest developments, news, and more related to AI, Cognilytica has put together a list of 50 AI influencers to follow on twitter (listed alphabetically). To make it easier to follow everyone Cognilytica has put together a twitter list …
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 (This post is based on Jesse Anderson’s work on data teams). As Artificial Intelligence (AI) continues to become a focus for an increasing number of enterprises, these organizations are realizing how important it is to have the …
The Difference Between a Data Scientist and Data Engineer and Why You Should Care Read More »
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