Artificial Intelligence

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Understanding what we mean by “Decision” in ML/AI/DI

AI for the enterprise, Artificial Intelligence, Causal modeling, Data Science, Data, and its limits, decision intelligence, Intelligence Amplification (aka Intelligence Augmentation) (IA)

In artificial intelligence, machine learning, decision intelligence, statistics, and science, we use the word “decision” to mean a lot of things. Let’s tease out some distinctions: Decision TypeNameQuestion answeredPrimary information SourceTypical success criterionTypical methodAML classification“Decisions That”: “What is this picture?” “What disease does this person have?” “Is this a cat?”DataTrue positive, true negativeSupervised learningBML regression“Decision […]

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How to Avoid the Next AI Winter It’s time to end the AI summer/winter cycle once and for all. Five ways to get real.

Artificial Intelligence, decision intelligence, Machine Learning, Robotics, Technology analysis

The introduction of the cotton gin wasn’t accompanied by an entire genre of Hollywood movies dedicated to the gin “singularity”. Nor did we usher in Golden Age of telecommunications with blockbuster killer “phone web” stories. Artificial Intelligence is different. Like other disruptive technologies, it is having far-ranging effects, good and bad. But uniquely, quality AI

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Guest Post: Four Simple Steps to Help Your Team Make Better Decisions Tactical strategies you can start using today to optimize decision making from machine learning and decision intelligence pioneer Dr. Lorien Pratt.

Artificial Intelligence, Behavioral psychology, Cognitive science, Dependencies, Externals, Guest Post, Introduction, Levers, Outcomes

Have you ever wondered just how many decisions you will make today? In your lifetime? Though difficult to measure, researchers have estimated that the average adult makes anywhere from a few thousand to 35,000 decisions in a single day. While the estimates range tremendously due to the complexity of deciphering between decisions and automatic reflexes,

Guest Post: Four Simple Steps to Help Your Team Make Better Decisions Tactical strategies you can start using today to optimize decision making from machine learning and decision intelligence pioneer Dr. Lorien Pratt. Read More »

Thinking of Starting an Enterprise AI Project?

AI for the enterprise, Artificial Intelligence, decision intelligence, Intelligence Amplification (aka Intelligence Augmentation) (IA), Introduction, Machine Learning, Machine Learning Software Engineering (MLSE)

Are you thinking: “I’ve heard that AI can provide some value to my organization?” but wondering where to start? You might be a CIO or other technical leader, looking to avoid being left in the dust behind this important technology. Based on our experience delivering dozens of AI projects (thousands of models) over 30 years,

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The #COVID19 Driver’s Seat

AI for the enterprise, Artificial Intelligence, Behavioral Economics, Behavioral psychology, Big Data, Cognitive science, Complex Systems, complexity science, computational neuroscience, COVID-19, Data Science, Decision Analysis, decision intelligence, design thinking, Econometrics, Economics, epidemiology, Finance, human capital management, Intelligence Amplification (aka Intelligence Augmentation) (IA), Knowledge Management, Machine Learning, operations research, Predictive Analytics, prius, Risk Analysis, Simulation, Statistics, toyota, Wicked Problems

I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery.  I made it through, but along the way, and with the perspective afforded by a lot of time on the couch and away from the day-to-day business of Quantellia, I became galvanized to do something about other COVID

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Welcome to the Personal Artificial Intelligence Revolution

Artificial Intelligence, Complex Systems, decision intelligence, Introduction, Machine Learning, Machine Learning Software Engineering (MLSE), Unintended consequences

Like it or not, technology is everywhere. We have long ago passed a time where computers were relegated to men in white coats in distant rooms. It’s now in our pockets, in our faces, and mediates many of our relationships. Yet, as Shoshana Zuboff explains in The Age of Surveillance Capitalism, recent years were characterized

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Illustration-Atomic-Langchain

Don’t use langchain anymore : Atomic Agents is the new LLM paradigm !

Artificial Intelligence

Introduction Since the rise of LLMs, numerous libraries have emerged to simplify their integration into applications. Among them, LangChain quickly established itself as the go-to reference. Thanks to its modular approach, it allows chaining model calls, interacting with vector databases, and structuring intelligent agents capable of reasoning and acting. For a long time, it was

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