How to Keep Your Machine Learning Models Up-to-Date

How to Keep Your Machine Learning Models Up-to-Date

No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.

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Seeing the Big Picture with Your AI Data

Seeing the Big Picture with Your AI Data

Achieving a high level of accuracy in data labeling is vital. This concept can be understood if we think about a mural of Rubik’s Cubes®.

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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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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 3 Hidden Costs of Crowdsourcing for Data Labeling

The 3 Hidden Costs of Crowdsourcing for Data Labeling

Crowdsourcing seems to offer a cheap option for training machine learning models, but it’s rarely as inexpensive as it seems. Here are some of the hidden costs of the crowd.

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AI Challenges And Why Legal Is A Great Place To Kick-Start Great NLP

AI Challenges And Why Legal Is A Great Place To Kick-Start Great NLP

AI makes information easier to find for attorneys and their opponents. That levels the playing field. It fundamentally changes the way work is done in the legal profession, where ...

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CloudFactory Launches New Solutions and Partnerships to Accelerate AI Innovation

CloudFactory Launches New Solutions and Partnerships to Accelerate AI Innovation

Cloud workforce solutions and integrations with leading data labeling platforms support higher quality training data for machine learning.

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Global Partnerships Reflect AI’s Immense Power and Potential Risks

Global Partnerships Reflect AI’s Immense Power and Potential Risks

Realizing AI’s potential benefits - and mitigating its challenges - will require collaboration. As partnerships form and critical questions arise across the globe in government, ...

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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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AI Bias And The 'People Factor' In AI Development

AI Bias And The 'People Factor' In AI Development

AI is only as good as the data it's trained to analyze. CloudFactory CEO Mark Sears shares in Forbes about how AI bias can arise from people, tools, algorithms, and human ...

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