Meeting big expectations
The media and entertainment (M&E) industry is evolving at a staggering pace, with consumer consumption patterns and expectations continuing to shift. Competition for audiences is fiercer than ever, as a myriad of entertainment options—including sports, movies, TV and streaming content, music, gaming, and podcasts—all vie for limited mindshare across an increasingly distributed consumer base.
Facing continuous change and growing audience expectations, today’s M&E organizations are searching for new solutions that allow them to move faster, react with greater agility, and make smarter decisions driven by data. Artificial intelligence (AI) and machine learning (ML) have emerged as critical tools in these efforts—with new use cases demonstrating the transformative capabilities of generative AI.
Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. According to Goldman Sachs, generative AI could drive a $7 billion increase in the global GDP and will likely drive the creation of new jobs and the emergence of new occupations.1 The potential applications of generative AI for M&E are vast, and leading M&E companies are rapidly discovering the technology’s transformative value.
Generative AI has demonstrated the ability to help M&E companies create new content, enhance productivity in existing creative processes, and intelligently automate workflows. ML-powered solutions, another AI technique, are already in broad use by M&E firms to adapt to business challenges.
This eBook describes how M&E companies can use AI, generative AI, and ML on Amazon Web Services (AWS) to enhance their businesses and create engaging experiences. Read on to discover real-world use cases that can help you unlock the full power of these transformative technologies.