Remove tag generative-ai-tools
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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Open-Source, Generative Data Quality Software. Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball.

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The Quality of Auto-Generated Code

O'Reilly on Data

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. Given enough unit tests and acceptance tests, we can imagine a system for automatically generating code that is correct.

Testing 363
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What’s Next for AI and Sales?

David Menninger's Analyst Perspectives

Ten years have passed since artificial intelligence (AI) first appeared in sales technology, and the results are mixed. Early tools applied rudimentary machine learning (ML) models to customer relationship management (CRM) exports, assigning win probability scores or advising on the ideal time to call.

Sales 130
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

This is accomplished through tags, annotations, and metadata (TAM). My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Tagging and annotating those subcomponents and subsets (i.e., Smart content includes labeled (tagged, annotated) metadata (TAM).

Strategy 267
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5 questions defining the CIO agenda today

CIO Business Intelligence

But while CIO.coms latest State of the CIO survey identifies AI initiatives, security work, modernization efforts, and talent needs as top drivers for IT leaders agendas again this year, subtle shifts in how best to tackle that work can be teased out by the key questions IT leaders face in each of these areas right now.

Strategy 120
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Have we reached the end of ‘too expensive’ for enterprise software?

CIO Business Intelligence

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These AI-based tools are particularly useful in two areas: making internal knowledge accessible and automating customer service.

Software 128
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The state of data quality in 2020

O'Reilly on Data

Adopting AI can help data quality. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Can AI be a catalyst for improved data quality? They’re making do with inadequate—or non-existent—controls, tools, and practices. Respondent demographics.