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Beyond “Prompt and Pray”

O'Reilly on Data

When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time. This distinction is critical because the challenges and solutions for conversational AI are unique to systems that operate in an interactive, real-time environment.

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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 instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. This involves setting up automated, column-by-column quality tests to quickly identify deviations from expected values and catch emerging issues before they impact downstream layers.

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Agentic AI design: An architectural case study

CIO Business Intelligence

Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being. An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction.

Testing 135
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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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12 AI predictions for 2025

CIO Business Intelligence

Plus, they can be more easily trained on a companys own data, so Upwork is starting to embrace this shift, training its own small language models on more than 20 years of interactions and behaviors on its platform. The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology.

Software 141
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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds.

IT 139