Whether you run a marketplace, social network, or dating app, user-generated content (UGC) is exploding. And with smarter threats in this AI-first era, moderation is more critical than ever. Spammers now embed affiliate links in genuine-looking reviews. Memes carrying misinformation spread like wildfire. Some users even game your policies with near-borderline content. Traditional rule-based moderation just isn’t enough anymore. To keep up, you need AI-powered content moderation systems. Machine learning helps spot patterns that humans or static filters miss. The best part? You don’t have to build everything from scratch. You don’t have to build everything from scratch. AWS offers a powerful AI tech stack to streamline content moderation.
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Explore our AI/ML development blogs for cutting-edge insights and expert tips from our AI specialists.
AI in Enterprise: Key Applications, Use Cases, and Examples
AI is reshaping how enterprises operate across all sectors, from predictive analytics to autonomous decision-making. This blog explores innovative use cases of AI in enterprises with real-world examples revolutionizing operations, finance, marketing, HR, IT, and strategic decision-making.
Continue ReadingThe Revolutionizing Effects of NLP in the Healthcare Industry
NLP is revolutionizing the healthcare industry by enhancing patient care and operational efficiency. Our comprehensive article explores the essential aspects of NLP techniques, applications, and the challenges faced in this technology adoption.
Continue ReadingAI in Supply Chain: Top Use Cases and Applications With Examples
How Do You Build Generative AI Applications on AWS?
AWS provides a comprehensive suite of tools and services to simplify the development and deployment of generative AI applications at scale. Learn everything from choosing the best approach to training or fine-tuning your model and beyond.
Continue ReadingAI in Healthcare Examples: Diagnostics, Drug Discovery, and More
AI in Fintech: Top Use Cases and Applications with Examples
State of Generative AI in 2024 | Insightful Survey Findings
We surveyed 656 business leaders across 8 key sectors to benchmark current and planned adoption of generative AI, summarize beneficial use cases and business impacts so far, and provide balanced, data-driven insights around priorities and safeguards needed moving forward. Interesting survey highlights: Nearly 70% of organizations struggle with Gen AI skills, focusing on in-house training, ethical transparency, and code-related tasks.
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