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: 3 Takeaways from Our Chat with HITL Expert Robert Monarch

ICYMI: 3 Takeaways from Our Chat with 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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4 Data Hurdles in Medical AI Development

4 Data Hurdles in Medical AI Development

The rise of medical AI solutions shows great promise, but there are still important hurdles to overcome, such as concerns about privacy and data accuracy.

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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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OCR and People: Your Dynamic Data-Entry Duo

OCR and People: Your Dynamic Data-Entry Duo

Optical character recognition (OCR) can improve productivity when transcribing text, but people still play a critical role in quality control.

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3 Signs You Need A Managed Workforce for Data Entry

3 Signs You Need A Managed Workforce for Data Entry

Choosing a managed workforce to take care of your data entry needs can help overcome the challenges of scale, quality control, and communication.

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3 Ways Finance Benefits from Data Entry Services

3 Ways Finance Benefits from Data Entry Services

Accurate data entry is the foundation of strong financial practices. It helps finance teams maintain complete records and expedite critical transactions.

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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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Data Entry Services Fuel Transformation in Legal Industry

Data Entry Services Fuel Transformation in Legal Industry

Data entry is an essential part of the digital transformation process for legal firms seeking to speed discovery and provide better client experiences.

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4 Reasons You Should Outsource Data Entry

4 Reasons You Should Outsource Data Entry

Data entry is a crucial part of any digital transformation project. Sometimes it makes more sense to outsource than to burden your own team.

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