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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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Risk Management for AI Chatbots

O'Reilly on Data

Doing so means giving the general public a freeform text box for interacting with your AI model. Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. Why not take the extra time to test for problems? What Can You Do?

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?

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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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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

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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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AI as a growing child: How we can shape its future responsibly

CIO Business Intelligence

But as with any transformative technology, AI comes with risks chief among them, the perpetuation of biases and systemic inequities. Systems of influence At the most immediate level is the microsystem the developers, engineers, and users directly interacting with AI. While this democratization is exciting, it also comes with risks.

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