The race to adopt AI has flooded enterprises with chatbots, copilots, and isolated agents. What began as innovation is now sprawling into disconnected tools that fail to produce real outcomes. In a recent conversation with John Michelsen and Chris Kraus, we outlined the key findings from the report “Choosing the Right Agentic Platform.” The report …
by Scott King AI That Never Learns Many people fear having AI train on their data because they don’t want to lose proprietary data in public LLMs. So they say, “I don’t want AI training on my data.” But that’s exactly what they want—they just don’t realize what they’re saying. What they mean is they don’t want to give up …
by Scott King 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 …
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