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Beyond “Prompt and Pray”

O'Reilly on Data

This distinction is critical because the challenges and solutions for conversational AI are unique to systems that operate in an interactive, real-time environment. But it harbors serious issues that become apparent at scale: Unreliability Every interaction becomes a new opportunity for error. Its quick to implement and demos well.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?

Testing 174
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The Race For Data Quality in a Medallion Architecture

DataKitchen

For example, if data about online customer interactions is delayed due to source system lags, the Gold layer’s customer segmentation analysis may fail to reflect recent behavior, leading to irrelevant or poorly targeted campaigns. Data Drift Checks (does it make sense): Is there a shift in the overall data quality?

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Take Advantage Of The Best Interactive & Effective Data Visualization Examples

datapine

Table of Contents 1) The Benefits Of Data Visualization 2) Our Top 27 Best Data Visualizations 3) Interactive Data Visualization: What’s In It For Me? Whether static or interactive dashboards , these creative data visualization examples will serve as an inspiration for any data enthusiast. No, data is the new soil.”

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Get Started With Interactive Weekly Reports For Performance Tracking

datapine

This is where interactive weekly reports come into the picture. Powered by interactive visualizations, managers use these reports to outline the progress of the week and find improvement opportunities for the future. We will see these interactive reports in action throughout the post. What Is A Weekly Report?

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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). The Core Responsibilities of the AI Product Manager.

Marketing 364
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Reclaiming the stories that algorithms tell

O'Reilly on Data

Using the new scores, Apgar and her colleagues proved that many infants who initially seemed lifeless could be revived, with success or failure in each case measured by the difference between an Apgar score at one minute after birth, and a second score taken at five minutes. Books, in turn, get matching scores to reflect their difficulty.

Risk 361