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Building Trust in AI Means Building Trust in Data

Confluent

Discover how to build trust in AI by strengthening data and people layers. Learn about risk frameworks, data streaming, and more for effective solutions.

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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

It focuses on five key pillars: investing in research and development; unleashing government AI resources; setting standards and policy; building the AI workforce; and advancing trust and security. The post Building Trust in Public Sector AI Starts with Trusting Your Data appeared first on Cloudera Blog.

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Building High-Quality and Trusted Data Products with Databricks

databricks

Introduction Organizations aiming to become AI and data-driven often need to provide their internal teams with high-quality and trusted data products. Building.

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Achieving Trusted AI in Manufacturing

Cloudera

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?

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Transforming Telco with Trusted AI Everywhere

Cloudera

But to truly drive transformation telcos must ensure AI models are driven by accurate, high-quality, trusted data, and determine how to manage and govern massive volume at scale. This is the essence of “Trusted AI Everywhere.” Trusted AI Everywhere” explained Trusted AI poses significant challenges.

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Career stories: Military commander turned Trust & Safety manager

LinkedIn Engineering

Avery's career in military IT took an unexpected turn when he caught wind of a LinkedIn Trust & Safety (QA) manager opportunity in his hometown of Omaha, Nebraska. LinkedIn’s Trust & Safety team At LinkedIn, I'm part of Trust & Safety’s Abuse & Content Enforcement (ACE) group, leading a group of six analysts and agents.

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Trusted Data for the Data Intelligence Platform: Databricks Ventures Invests in Anomalo

databricks

Reliable, accurate and trusted data is the most critical requirement for any data application in an enterprise. As Databricks customers increasingly rely on.

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