Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Complex Geospatial Data Labeling: Trends, Challenges, Solutions

Geospatial data is fueling innovation in many sectors. Read on if your business needs to scale its data labeling operations while maintaining quality.

Read More
Medical AI Security and Data Privacy in the Age of Computer Vision

Medical AI Security and Data Privacy in the Age of Computer Vision

Are you considering outsourcing data labeling work while developing medical AI or computer vision solutions? Read these data security tips.

Read More
Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctors Shouldn't Annotate Medical Data. Expert Annotators Should.

Doctor shortages are impacting healthcare innovators’ ability to label data for computer vision solutions. Outsourcing the work will help.

Read More
5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

5 Key Questions to Ask Before Outsourcing Healthcare Data Labeling

Computer vision improves patient care, streamlines medical decisions, and lowers costs. Ask these questions before outsourcing healthcare data annotation.

Read More
4 Use Cases on Why Using Drones to Collect Data Improves Inspections

4 Use Cases on Why Using Drones to Collect Data Improves Inspections

These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.

Read More
Breaking Down The Levels of Drone Autonomy

Breaking Down The Levels of Drone Autonomy

The demand for drone autonomy is rapidly increasing. See how CloudFactory defines the levels of drone autonomy.

Read More
The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The 4 Biggest Hurdles for Real-Time Geospatial Data Labeling

The real-time use cases for geospatial data are practically limitless, but data-labeling on such an enormous scale remains a major challenge.

Read More
Does Not Compute: The NLP Context Conundrum

Does Not Compute: The NLP Context Conundrum

The nuances of language can be difficult for a machine to understand, hence the need for human input to accelerate testing and ensure quality control.

Read More
Sentiment Analysis—and Why Computers Can't Do it Alone

Sentiment Analysis—and Why Computers Can't Do it Alone

Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.

Read More
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.

Read More
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.

Read More
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.

Read More
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.

Read More
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.

Read More
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.

Read More
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).

Read More