AI and Liquid Content Strategy: A Leadership Perspective on the Future of Creation and Curation

Overview

A 3-hour interactive 'liquid session' on the strategic implications of Generative AI for media corporations and broadcasters. This hands-on session will explore the latest GenAI tools while discussing their impact on the industry.

Liquid content refers to content that is highly shareable, adaptable, and designed to flow across multiple platforms, channels, and audiences.

Who it is for:

• Media executives and decision-makers with a basic knowledge of GenAI.

Course objectives:

• Demonstrate the 'state of liquid content' using GenAI tools
• Discuss strategic decisions for media corporations in the age of GenAI
• Provide hands-on experience with cutting-edge GenAI tools
• Explore the implications of GenAI on content creation and distribution 

What you will learn as a participant:

• Gain hands-on experience with cutting-edge GenAI tools for content creation with the goal of navigating the landscape 
• Understand the strategic implications of GenAI for media corporations and broadcasters
• Explore the concept of 'liquid content' and its potential to reshape the media industry
• Develop insights into new content creation processes and production pipelines enabled by GenAI
• Discuss emerging monetization models and revenue opportunities in the age of GenAI
• Analyze the impact of GenAI on workforce dynamics and organizational structures in media companies
• Evaluate the changing competitive landscape and identify potential disruptions in the media sector

A selection of GenAI tools to be used during the hands-on portion of the course:

• Content Generation: CustomGPT (GPT-4 or similar advanced language model available at the moment) and cove.ai
• Image Generation: DALL-E 2 or Midjourney
• Audio Generation & Conversation: Advanced Voice with ChatGPT or Eleven Labs AI Voice Tools
• Video Generation: RunwayML or Invideo.io
• Multi-modal AI: ChatGPT with plugins or Claude (if new agentic model is available)

Note: The specific tools may be updated closer to the course date to ensure the most current technologies are demonstrated.

Key areas for strategic discussion:

• Content Creation: How GenAI is changing the production pipeline
• Personalization: Leveraging GenAI for tailored user experiences
• Monetization: New revenue models enabled by GenAI
• Ethical Considerations: Addressing bias, copyright, privacy, sustainability, authenticity
• Workforce Impact: Reskilling and new roles in a GenAI-enhanced media landscape. How might organisations change?
• Infrastructure: Technical requirements for implementing GenAI at scale
• Competition: How GenAI is reshaping the competitive landscape in media