Topic: metadata management
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Australia's National Archive Chooses Arcitecta to Preserve Audiovisual Heritage
The National Film and Sound Archive of Australia has selected Arcitecta's Mediaflux platform as its central Digital Asset Management System to modernize the preservation and accessibility of the nation's audiovisual heritage. The platform will address challenges of managing large-scale digital co...
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Unlock AI Marketing Success with DAM
A robust Digital Asset Management (DAM) system is essential for AI marketing success, as it provides the structured, metadata-rich foundation needed for AI to analyze, generate, and personalize content effectively. Modern DAM systems have evolved into central marketing infrastructure, managing wo...
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AI Model Collapse Risk Demands Zero Trust Data Governance
The proliferation of AI-generated content risks a self-referential cycle that degrades model quality, accelerating enterprise adoption of zero trust data governance frameworks to verify and manage data integrity. Stricter regulations are expected to mandate the verification and labeling of AI-gen...
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Salesforce Unveils Trustworthy AI Engine for Enterprises
Salesforce has launched a unified data engine integrating Data 360, Informatica, and MuleSoft to provide AI with a reliable, contextual foundation, aiming to move beyond inaccurate outputs toward accurate, reasoned decisions. The platform addresses the widespread issue of AI hallucinations by gro...
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Maximize Ad Revenue: Programming Decisions for Fill, Yield & Scale
An upcoming industry panel will explore how strategic content programming directly drives viewer engagement and sustainable revenue growth for streaming services. Experts will discuss balancing data-driven analytics with editorial instinct, emphasizing that content remains paramount for monetizat...
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3 Steps to Onboard AI Hires with Context Engineering
Successful AI integration depends on **context engineering**, which involves curating and structuring institutional knowledge—like data, processes, and culture—to enable precise AI performance and avoid unreliable outputs. Effective context must be **selectively scoped** to the AI's specific role...
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AI's Self-Poisoning Threatens Model Collapse - Here's the Fix
AI systems face a critical threat called "model collapse", where training on unverified, AI-generated data leads to unreliable and biased outputs, undermining automated decision-making. To combat this, organizations are predicted to adopt a "zero-trust approach to data governance", requiring ...
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Crafting a Modern Data and AI Tech Stack
Success in building a modern data and AI stack depends on a robust foundation of clean, accessible, and ethically managed data, rather than pursuing perfection. Companies must reorganize data structures to handle rapid change, leverage AI to mine unstructured data, and prioritize modular governan...
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Cloudera Named a Leader in 2025 Data Fabric Platforms Report
Cloudera was named a Leader in The Forrester Wave: Data Fabric Platforms, Q4 2025 report, praised for its robust data processing, scalable storage, and secure unified architecture. The platform enables organizations to integrate and govern data across hybrid and multi-cloud environments, supporti...
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Fivetran and dbt Labs Merge in Major Data Infrastructure Shift
Fivetran and dbt Labs have merged in an all-stock deal to create an open data infrastructure platform that integrates data movement, transformation, and activation, aiming to simplify workflows and support various tools and AI models. The merger reinforces a commitment to open-source development,...
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