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Retail’s future belongs to those who master AI-driven commerce, but success requires more than algorithms. It takes scalable, structured IT ecosystems designed to power AI.In this webinar, we’ll explore how retailers can rethink infrastructure around composability, knowledge architecture, and governance. Featuring real-world examples like PetSmart, we’ll show how smarter foundations improve findability, reduce cart abandonment, and drive innovation.This isn’t hype. It’s a roadmap for IT and digital leaders to enable AI success across omnichannel retail.
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Knowledge Assessment for Generative AI Projects

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Webinar, June 18, 1pm ET Engineering the Retail Infrastructure for AI-Driven Commerce

Retail’s future belongs to those who master AI-driven commerce, but success requires more than algorithms. It takes scalable, structured IT ecosystems designed to power AI.In this webinar, we’ll explore how retailers can rethink infrastructure around composability, knowledge architecture, and governance. Featuring real-world examples like PetSmart, we’ll show how smarter foundations improve findability, reduce cart abandonment, and drive innovation.This isn’t hype. It’s a roadmap for IT and digital leaders to enable AI success across omnichannel retail.
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EARLEY RESOURCES

Resources Converting Artificial Intelligence, Machine Learning, & More

Artificial Intelligence

[Earley AI Podcast] Episode 67: Yang Li

How AI Is Transforming Software Engineering with Yang Li of Cosine Guest: Yang Li In this episode of the Earley AI Podcast, host Seth Earley...

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Data & Analytics
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Content Management
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Internet of Things
Attribution
Industry Trends
MDM
DAM

Solution

Product Data Management
Knowledge Engineering
Content Optimization
Customer Engagement

Industry

Manufacturing & Distribution
Financial Services & Insurance
Retail & Consumer Goods
Healthcare
Non-Profit & Public Sector
Life Science & BioTech
Media & Communications

Topics

Information Architecture
Knowledge Management
Taxonomy
Artificial Intelligence
Information Architecture
Knowledge Management
Digital Transformation
Technology Platforms
Governance
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Customer & User Experience
Data & Analytics
Ontology
Content Management
Digital Workplace
Search & SEO
Enterprise Search
Internet of Things
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MDM
DAM

Solution

Content Optimization
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Manufacturing & Distribution
Retail & Consumer Goods
Financial Services & Insurance
Healthcare
Non-Profit & Public Sector
Life Science & BioTech
Media & Communications

Topics

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Artificial Intelligence
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Knowledge Management
Digital Transformation
Technology Platforms
Governance
Metadata & Tagging
eCommerce & Merchandising
Customer & User Experience
Data & Analytics
Ontology
Content Management
Digital Workplace
Search & SEO
Enterprise Search
Internet of Things
Attribution
Industry Trends
MDM
DAM

Solution

Content Optimization
Product Data Management
Customer Engagement
Knowledge Engineering

Industry

Manufacturing & Distribution
Retail & Consumer Goods
Financial Services & Insurance
Healthcare
Life Science & BioTech
Non-Profit & Public Sector
Media & Communications

Topics

Taxonomy
Artificial Intelligence
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Knowledge Management
Digital Transformation
Governance
Metadata & Tagging
eCommerce & Merchandising
Customer & User Experience
Data & Analytics
Ontology
Content Management
Digital Workplace
Search & SEO
Enterprise Search
Internet of Things
Attribution
Industry Trends
DAM
MDM

Solution

Product Data Management
Knowledge Engineering
Content Optimization
Customer Engagement

Industry

Manufacturing & Distribution
Retail & Consumer Goods
Financial Services & Insurance
Healthcare
Life Science & BioTech
Non-Profit & Public Sector
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Customer & User Experience
Data & Analytics
Ontology
Content Management
Digital Workplace
Search & SEO
Enterprise Search
Internet of Things
Attribution
Industry Trends
DAM
MDM

Solution

Product Data Management
Knowledge Engineering
Content Optimization
Customer Engagement

187 posts showing

Articles

Is IBM Watson Technology Practical for the Enterprise?

Information Architecture, Artificial Intelligence, Baseline Magazine

This Articles was published online at Baseline Magazine on May 3, 2011. IBM’s Jeopardy-playing Watson computer has been hailed as a technolo...

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How We Help You Make Your Data Work Harder

At Earley Information Science, we know that data drives digital. Using our field-proven methods, we'll make your data work harder. We want you to be successful and we're ready help wherever you are in your transformation journey—from strategy and design to implementation and optimization.

Resources Converting Artificial Intelligence, Machine Learning, & More

[Earley AI Podcast] Episode 67: Yang Li

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