Remove Demo Remove Measurement Remove Uncertainty
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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Someone hacks together a quick demo with ChatGPT and LlamaIndex. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges?

Testing 174
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What you need to know about product management for AI

O'Reilly on Data

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

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Humans and AI: How Should You Talk About AI? Be Positive or Give Warnings?

DataRobot

AI and Uncertainty. Some people react to the uncertainty with fear and suspicion. Recently published research addressed the question of “ When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making.”. Request a demo. People are unsure about AI because it’s new.

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How Humility Can Help Build More Trust in AI

DataRobot

Humility Means Recognizing Uncertainty. Recognizing and admitting that uncertainty is a major step in establishing trust. A prediction might also be less certain when confronting data measurably dissimilar from the data it was trained on. Request a demo. That is exactly what we mean by humility in AI. AI you can trust.

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IT leader’s survival guide: 11 ways to thrive in the years ahead

CIO Business Intelligence

Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Thriving amid uncertainty means staying flexible, he argues. . Tumultuous times redefine what constitutes success. The past few years in IT have exemplified this.

IT 133
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How to Build Trust in AI

DataRobot

Accuracy — this refers to a subset of model performance indicators that measure a model’s aggregated errors in different ways. Recognizing and admitting uncertainty is a major step in establishing trust. Request a demo. How can identifying gaps or discrepancies in the training data help you build a more trustworthy model?

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Humans and AI: Business Subject Matter Experts, Forests, and Trees

DataRobot

The uncertainty in her reply piqued my interest. In a series of experiments, the researchers and authors of “ Manipulating and Measuring Model Interpretability ” asked participants to predict apartment prices with the assistance of a machine learning model. Request a demo. Umm, yes, I think so,” she replied.