Generative AI vs Predictors and Categorizers Generative AI is hot and has ignited our imaginations. However, it’s important to highlight that there are other AI capabilities, like predictors and categorizers, that can produce significantly more value, particularly in enterprise settings. But, these capabilities aren’t new; they have been around for quite some time and have …
by Scott King 
Companies evaluating AI want the most accurate machine learning models (ML) to predict or summarize business outcomes. However, many times achieving high levels of accuracy and confidence inflates expenses and erodes value versus adding to it. In this episode, Luther and I discuss what is and what is not AI, evaluating ML model accuracy against …
by Scott King 
A North American eCommerce store transformed its operations by leveraging AI-driven automation. Read how Krista decreased operational costs, reduced resolution times, and boosts customer satisfaction.
by Scott King 
Embracing Predictive Analytics in Decision-Making In this episode of The Union Chris and I discuss predictive analytics and how to use it to help you make better decisions. We explored how advanced analytics can help business process owners and IT professionals boost their decision-making prowess. The most important topic in this episode is using machine …
by Scott King 
About SR 11-7: Guidance on Model Risk Management SR 11-7: Guidance on Model Risk Management is a document issued by the Federal Reserve Board that provides guidance and regulatory expectations related to model risk management. The guidance defines model risk as the risk of incorrect or inappropriate model usage, incorrect model outputs, or model implementation …
by Luther Birdzell 
As machine learning (ML) becomes more prevalent in business and society, so does the need for accurate and dependable operations. Krista offers comprehensive machine-learning operations (MLOps) to help your business succeed with this valuable technology before your competitors do. Krista will help your organization ensure that the right ML assets are in the right place …
by Luther Birdzell 
Machine learning (ML) is an enabling technology for artificial intelligence (AI), one of the fastest growing areas of technology. While numerous advancements have been made in this field over the past twenty years, there are many reasons to believe that we have only scratched the surface of this technology’s potential. The three main types of …
by Luther Birdzell 
Begin with the eye-opening statistic that 97 percent of all mobile users want a machine learning-powered voice assistant to assist them with their inquiries. Isn’t that incredible? We are on the cusp of a new era where machines learn to think and act for themselves. And machine learning is already starting to impact our everyday …
by Luther Birdzell 
We are in an age in which computers are learning how to do more complex things than humans are able to program. The line between humans and machines is becoming more blurred as machines are doing things that were recently thought impossible. Here are some astonishing examples of machine learning in action. But before we …
by Luther Birdzell 
As we enter a new age, there is one technology looming on the horizon that has the potential to change everything as we know it: artificial intelligence (AI). In particular, the past decade has seen a tremendous rise in both artificial intelligence (AI) and machine learning. Though they are often used interchangeably, AI and machine learning are pretty …
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