The AI Summit uncovered the potential of generative AI, with a spotlight on ethical AI, benefits to creatives, and the critical role of humans in the loop.
CloudFactory Blog
![Building a ChristmasGAN (in July!)](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/Building-a-ChristmasGAN-in-July.png)
Experience "Christmas in July" with a ChristmasGAN project. Explore Generative Adversarial Networks, image translation, and creative Christmas touches.
![CVPR 2023: The changing role of human in the loop](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/CVPR-2023-the-changing-role-of-human-in-the-loop.png)
Uncover CVPR 2023 top takeaways, including new roles for humans in the loop, self-supervised learning and zero-shot models, and humans in generative AI.
![Improving industrial inspections using drones: 4 use cases](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/Improving-industrial-inspections-using-drones-4-use-cases.png)
These 4 use cases examine why using drones to collect data makes industrial inspections safer, more accurate, and more efficient than manual inspections.
![4 steps to achieving ethical AI: webinar recap](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/4-steps-to-achieving-ethical-AI-webinar-recap.png)
No time for a webinar? This blog post recaps our discussion on ethically designed AI systems with the 4 steps you need to achieve ethical AI.
![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.
![The Ethical Sourcing of Training Data](https://blog.cloudfactory.com/hubfs/03-Blog-CTAs/Blog%20CTA%20Design%203%20%283%29.png)
Are you ethically sourcing training data for your AI models? And what does “ethically sourcing” mean, anyway? Read this post to explore the issue.
![4 Use Cases on Why Using Drones to Collect Data Improves Inspections](https://blog.cloudfactory.com/hubfs/04-blog-img/4%20Use%20Cases%20on%20Why%20Using%20Drones%20to%20Collect%20Data%20Improves%20Inspections.png)
These four use cases examine why using drones to collect data makes drone inspections safer, more accurate, and more efficient than manual inspections.
![Does Not Compute: The NLP Context Conundrum](https://blog.cloudfactory.com/hubfs/04-blog-img/Does_Not_Compute_The_NLP_Context_Conundrum.png)
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.
![Sentiment Analysis—and Why Computers Can't Do it Alone](https://blog.cloudfactory.com/hubfs/04-blog-img/Sentiment%20Analysis%E2%80%94and%20Why%20Computers%20Cant%20Do%20it%20Alone.png)
Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.
![The AI & Automation Must-Have: Humans-in-the-Loop](https://blog.cloudfactory.com/hubfs/shutterstock_114700177.jpg)
Humans are necessary while automating decisions and processes with AI, machine learning, and RPA. Experts discuss the need for humans in the loop (HITL).
![How to Keep Your Machine Learning Models Up-to-Date](https://blog.cloudfactory.com/hubfs/Blog%20Social%20Graphics%20%28Resizing%29-2.png)
No matter how robust your initial training may be, keeping your machine learning models up-to-date is essential. Here are two retraining approaches.
![Scaling Quality Training Data: Best Practices for Your Data Production Line](https://blog.cloudfactory.com/hubfs/04-blog-img/Best-Practices-for-Your-Data-Production-Line.jpg)
Your training data operations are like assembly lines: data is your raw material, and you have to get it through production steps to structure it for AI. You need skilled people ...
![Scaling Quality Training Data: The Hidden Costs of the Crowd](https://blog.cloudfactory.com/hubfs/cf-blogs-featured-hiddencostofcrowd-02-PNG.png)
Anonymous crowdsourcing is a common alternative to an in-house team for AI development. It can be a cheap option for training machine learning algorithms but it’s rarely as ...
![Successful AI Development Means Fielding The Best Team](https://blog.cloudfactory.com/hubfs/04-blog-img/successful-AI-development%20.png)
Given the challenges of hiring and managing a team to complete the arduous data work behind AI, many companies are turning to outside help.
![Scaling Quality Training Data: Choosing the People in Your AI Tech Stack](https://blog.cloudfactory.com/hubfs/04-blog-img/scaling-quality-training-data.jpg)
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.