Bridge the AI reliability gap! This blog post explores human in the loop & CloudFactory's Model Monitoring & Oversight for real-world AI success. Join our Beta program.
![How Insurers Are Using AI to Lower Customer Acquisition Costs](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/Insurers%20using%20AI%20to%20Lower%20Customer%20Acquisition%20Costs.png)
Insurers are using AI to lower customer acquisition costs, identify new opportunities, and enable sales with personalized coaching and tools.
![3 Steps to Safer Autonomous Vehicle Models](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/3-Steps-to-Safer-Autonomous-Vehicle-Models.png)
Although you’re already working hard to ensure the safety of your autonomous vehicle models, here’s an approach you may not have considered.
![The Need for Ethically Designed AI Systems](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/Ethically%20Designed%20AI%20Systems.png)
Do your end users directly engage with AI systems? Will they engage? Then ethics are more crucial than ever before. Read this post to explore the issue.
![ICYMI: Key Insights from Data Science Icon Usama Fayyad](https://blog.cloudfactory.com/hubfs/04-blog-img/takeaways-from-our-chat-with-data-science-icon-usama-fayyad.jpg)
3 key takeaways from our latest LinkedIn Live event where we explored the state of AI & the importance of integrating human intervention with automation.
![ICYMI: Key Insights from HITL Expert Robert Monarch](https://blog.cloudfactory.com/hubfs/04-blog-img/LIL_Summary_Blog_Monarch_Hero_Image.jpg)
Learn 3 key takeaways from our latest LinkedIn Live event where we explored what it takes to combine human and machine intelligence effectively.
![3 Examples: Solving Automation and ML Exceptions with Humans in the Loop](https://blog.cloudfactory.com/hubfs/04-blog-img/solving-automation-and-ml-exceptions-with-humans-in-the-loop.png)
Learn how CloudFactory’s managed workforce worked with 3 companies, each with a problem involving data, automation, and/or ML.
![Optimizing Decision Making by Combining Automation and People](https://blog.cloudfactory.com/hubfs/04-blog-img/optimizing-decision-by-combining-people-and-automation.png)
An incremental design approach to automation and machine learning affords strategic opportunities for choosing to route exceptions to machines or people.
![3 Common Mistakes Automation and ML Modelers Make](https://blog.cloudfactory.com/hubfs/04-blog-img/common-mistakes-automation-and-ml-modelers-make.png)
Automation and AI hold great potential to innovate, improve, and make predictions. Here are three mistakes you’ll want to avoid.
![6 AI Predictions for 2021: A View From the Trenches](https://blog.cloudfactory.com/hubfs/04-blog-img/ai-predictions-for-2021.jpg)
What will 2021 bring to the world of AI and machine learning? CloudFactory CEO and founder Mark Sears shares our predictions.
![Choosing a Data Labeling Service Part 2: Communication & Quality Control](https://blog.cloudfactory.com/hubfs/04-blog-img/blog-choosing-a-dl-partner-quality-communication.jpg)
How can you determine if a data labeling service will deliver quality work? How they communicate and handle quality control are key indicators.
![Choosing a Data Labeling Service Part 1: Hiring and Vetting](https://blog.cloudfactory.com/hubfs/04-blog-img/blog-choosing-a-dl-partner-hiring-and-vetting.jpg)
How can you determine if a data labeling service will deliver quality work? It starts with their vetting, hiring, and training processes.
![What Can We Learn From HR About AI Bias?](https://blog.cloudfactory.com/hubfs/04-blog-img/what-can-we-learn-from-hr-about-ai-bias.jpg)
People have unconscious biases that affect hiring decisions. People also can hard-code their biases into an AI system. Humans in the loop can help.
![Will AI Replace the Humans In the Loop?](https://blog.cloudfactory.com/hubfs/04-blog-img/will-ai-replace-humans-in-loop.jpg)
People are involved in everything from training and testing algorithms to labeling data, conducting quality control, and monitoring automation.
![3 Ways Humans in the Loop Add Value to the AI Lifecycle](https://blog.cloudfactory.com/hubfs/04-blog-img/humans-in-loop-add-value-to-ai-lifecycle.jpg)
Humans play a critical role throughout the AI lifecycle, from data cleaning and labeling to quality control and automation monitoring.
![Accelerating ML Model Development with Human in the Loop](https://blog.cloudfactory.com/hubfs/04-blog-img/ml-model-development-with-human-in-loop.jpg)
Developing ML models requires a lot of data and skilled people to work with it. Here’s our HITL approach for machine learning model development.