Daniel Marshall, Amagi: A significant trend is the shift towards cloud production

Daniel Marshall, EVP Worldwide Sales at Amagi Corporation
Daniel Marshall, EVP Worldwide Sales at Amagi Corporation

IBC 2023 Insights: Interview with Daniel Marshall, EVP Worldwide Sales at Amagi Corporation.

  • What are the main trends of IBC 2023, in your opinion?

A significant trend is the shift towards cloud production, with a notable interest in migrating from on-premise to cloud-based broadcasting. Another trend is the popularity of FAST (Free Ad-supported Streaming Television), especially in the United States, where we are actively involved.

  •  What are the main directions of development most characteristic in your segment of the industry?

We operate in two main areas. Firstly, we manage broadcast playout and automation in the cloud, which includes tasks like master control, essentially constructing complete broadcast workloads in the cloud. Secondly, we work with FAST, assisting customers in creating Fast channels to gain additional screens by repurposing content from content owners. We serve major global customers, managing both broadcast and FAST. A visible trend is the shift towards digital and novel experiences, moving away from traditional broadcasting and enhancing media distribution with platforms like FAST and Linear Digital.

  • What new products is your company showcasing at IBC 2023?

We’re showcasing products related to automation for news and sports, as well as some FAST technologies. We’re demonstrating the integration of Live feeds into FAST, which helps create digital experiences and assists our customers in better monetizing their content. We’re presenting a single Live event product that is cost-effective and flexible for broadcasters, allowing them to easily set up, run, and take down live events. This product is crucial for broadcasters aiming to reduce costs and expand their reach.

  • Are there any developments in integrating AI into your solutions?

Yes, AI is integrated into our products in a few ways. Firstly, we use AI to detect Ad breaks, especially when content doesn’t have steady markers for Ad breaks. We utilize AI and machine learning to determine where Ad breaks can naturally be inserted. Secondly, we’re beginning to use AI to understand consumer viewing habits. As viewers navigate through hundreds of channels, observing their discovery journey and content preferences allows us to create personalized channels for individuals, and AI plays a significant role in this process.

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