4 NLP Innovators You Should Know About

4 NLP Innovators You Should Know About

With almost half of all online search queries now being spoken, natural language processing (NLP) is booming. Learn about 4 top innovators in the space.

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ICYMI: Key Insights from Data Science Icon Usama Fayyad

ICYMI: Key Insights from Data Science Icon Usama Fayyad

3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.

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Now is the Time for Medical AI Adoption

Now is the Time for Medical AI Adoption

Healthcare providers face mounting pressure to increase clinical efficiency and improve patient outcomes. The need for automation and AI is now.

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How Natural Language Processing (NLP) is Revolutionizing Financial Services

How Natural Language Processing (NLP) is Revolutionizing Financial Services

From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.

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ICYMI: Key Insights from HITL Expert Robert Monarch

ICYMI: Key Insights from HITL Expert Robert Monarch

Learn 3 key takeaways from our latest LinkedIn Live event where we explored what it takes to combine human and machine intelligence effectively.

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5 Ways Artificial Intelligence Is Transforming Fintech

5 Ways Artificial Intelligence Is Transforming Fintech

From fraud detection to automated loan approvals, AI is transforming the world of fintech with smoother client experiences and reduced financial risk.

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The AI & Automation Must-Have: Humans-in-the-Loop

The AI & Automation Must-Have: Humans-in-the-Loop

Humans are necessary while automating decisions and processes with AI, machine learning, and RPA. Experts discuss the need for humans in the loop (HITL).

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3 Examples: Solving Automation and ML Exceptions with Humans in the Loop

3 Examples: Solving Automation and ML Exceptions with Humans in the Loop

Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.

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From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From Data Collection to Adoption: How Humans Help Medical AI Come to Life

From data collection to training and deploying working models, the development of medical AI comes with many important challenges and opportunities.

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6 Ways Medical AI is Transforming Healthcare

6 Ways Medical AI is Transforming Healthcare

From faster drug discovery to robotic surgery, AI is transforming the healthcare sector with promises of improved patient care and reduced costs.

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Should You Outsource Data Labeling for NLP?

Should You Outsource Data Labeling for NLP?

NLP is one of the most difficult AI applications to develop and maintain. When you outsource data labeling, make sure you choose the right team.

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Optimizing Decision Making by Combining Automation and People

Optimizing Decision Making by Combining Automation and People

An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.

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3 Common Mistakes Automation and ML Modelers Make

3 Common Mistakes Automation and ML Modelers Make

Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.

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Maximizing ROI for ML, Decision Management, and RPA

Maximizing ROI for ML, Decision Management, and RPA

Could the secret to developing ML be more boring than we think? It’s time to give up the quest for the perfect model.

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6 AI Predictions for 2021: A View From the Trenches

6 AI Predictions for 2021: A View From the Trenches

What will 2021 bring to the world of AI and machine learning? CloudFactory CEO and founder Mark Sears shares our predictions.

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Choosing a Data Labeling Service Part 2: Communication & Quality Control

Choosing a Data Labeling Service Part 2: Communication & Quality Control

How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.

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