Seizing Your AI Opportunity Requires Quality Data and Partners

Seizing Your AI Opportunity Requires Quality Data and Partners

CloudFactory partner Scientia shares the AI opportunity and the importance of quality data for machine learning.

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When and Why AI Projects Fail (And How to Avoid It)

When and Why AI Projects Fail (And How to Avoid It)

Melody Ayeli, who reviews AI projects for Toyota’s CIO, shared insights on common AI failure points in a session at AI Summit in San Francisco.

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How to Take the Security Risk Out of Outsourcing Your Data Labeling

How to Take the Security Risk Out of Outsourcing Your Data Labeling

When you have massive data to label for machine learning, it makes sense to outsource it. But what happens when your data is sensitive, protected, or private? Here’s a quick ...

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MissingLink Gathers Leaders to Discuss AI to Improve the World

MissingLink Gathers Leaders to Discuss AI to Improve the World

Deep learning platform MissingLink and the MIT Media Lab brought together AI innovators in Boston last month for a meetup about how AI is changing the world for the better.

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The One Thing You Need Before Starting Any AI Project

The One Thing You Need Before Starting Any AI Project

After a decade of data work, we’ve learned AI development requires a winning combination of people, technology, and processes. Don’t overlook one important step before beginning ...

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The New AI Factory Model, Part I: How to Scale Quality Training Data [Transcript]

The New AI Factory Model, Part I: How to Scale Quality Training Data [Transcript]

AI training data operations are a lot like the assembly lines of yesterday’s factories. Data is your raw material, and you have to get it through multiple processing and review ...

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Scaling Quality Training Data: Best Practices for Your Data Production Line

Scaling Quality Training Data: Best Practices for Your Data Production Line

Your training data operations are like assembly lines: data is your raw material, and you have to get it through production steps to structure it for AI. You need skilled people ...

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Scaling Quality Training Data: The Hidden Costs of the Crowd

Scaling Quality Training Data: The Hidden Costs of the Crowd

Anonymous crowdsourcing is a common alternative to an in-house team for AI development. It can be a cheap option for training machine learning algorithms but it’s rarely as ...

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Successful AI Development Means Fielding The Best Team

Successful AI Development Means Fielding The Best Team

Given the challenges of hiring and managing a team to complete the arduous data work behind AI, many companies are turning to outside help.

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Scaling Quality Training Data: Choosing the People in Your AI Tech Stack

Scaling Quality Training Data: Choosing the People in Your AI Tech Stack

AI innovators rely on external teams to structure data for ML algorithms. But scaling quality data requires the right people & processes in your tech stack.

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