We are joined by Tom McDonnell, CEO at Monterosa to hear how they create premium interactive experiences fast and at scale along with the biggest challenges that their clients in sport and media have faced over the last 15 months.
Tom tells us how their clients are able to generate new revenue streams along with their plans for the coming months and years.
State of Content Infrastructure & Storage
This briefing analyzes high-level investment trends in content infrastructure and storage. The acceleration in media technology transitions such as the move to remote production models and the migration to cloud operating platforms is putting functions such as infrastructure and storage in the spotlight.
In Conversation with Agama Technologies
We are joined by Anders Svensson, CTO at Agama Technologies to discuss what’s new including the 7.0 release Video Observability and Analytics.
We also discuss the importance of valuable data to companies and what information can be gathered, what can be done with it and how companies should react.
Anders also talks through some recent customer use cases.
In Conversation with Veritone
In this interview, Ryan Steelberg (President, Veritone) discusses the launch of MARVEL.ai, a complete end-to-end voice-as-a-service solution to create and monetize hyper-realistic synthetic voice content at commercial scale. Ryan explains how Veritone got into this area of synthetic voice and how synthetic media and synthetic voice changing the media landscape.
Digital Audio: How Advertisers Can Reach Growing Audiences with Automated Buying
Advertisers are finding it increasingly important to embrace an expanding digital audio landscape. The 2021 Infinite Dial report shows significant growth in digital audio, estimating that in 2021, weekly online audio listeners will reach 193 million, or 68% of the US population, up from 169 million, or 60%, in 2020.
Townsquare Media embraces a Wider World with automation to streamline network/barter ad management
Because WO Traffic – Radio Interchange was still in development when Townsquare converted to WO Traffic in 2016, Townsquare was faced with a choice.
They could either return to manual handling of their network/barter contracts, which was a daunting prospect, or find a system to handle their barter automatically. After considering their options, Townsquare contracted to use a third-party’s system to automate their barter processes, fully intending to use it as a permanent solution. Although that system served for years as an alternative to manual dubbing, scheduling, and affidavit completion, over time Townsquare experienced challenges with some aspects of using it, especially given their high barter and cash comp volume.
One challenge was the amount of manual work that was involved on the front end of the process. Townsquare had to individually build all of their network barter and cash comp orders into WO Traffic as placeholder contracts, making sure to keep up with constant changes, additions, and cancellations throughout the year. They then had to create materials and manually enter dayplaced (and often dayparted) material instructions into WO Traffic for each network order. Finally, the material numbers for each order had to be manually transferred to the third-party’s system for dubbing and affidavit completion. Townsquare estimates that the duplication of effort for the entire workflow consumed upwards of 2500 person-hours in a year, plus an additional four to six hundred hours spent every December entering new orders, or adjusting existing ones, to match the networks’ contracts for the following year.
iSIZE BitSave: High-quality video at lower bitrates via Intel DL Boost
Streaming high-resolution video typically comes with an inevitable trade-off between available bandwidth and quality of experience for the end user. Delivering uncompromising video quality typically requires excessively high bitrates, which can result in slow starts, video buffering and high content delivery network (CDN) and storage costs. As the percentage of IP traffic attributed to video increases (estimated to already surpass 82%), these problems are only exacerbated, driving greater urgency for new innovations to address these challenges.
Traditional solutions that attempt to minimize bandwidth without compromising quality are centered around the development of more intelligent video encoders; either by replacing rate control, quantization and prediction strategies within them, or the entirety of a standard video coding pipeline. The latter, however, is a particularly risky proposition for video encoding services, since it requires the creation of bespoke transport mechanisms and decoders across multiple client device types. Likewise, improvements generated by a standards-based codec remain severely constrained by its inherent compliance needs.
Revolutionizing OTT And E-Commerce Through Computer Vision
Think of the last movie you streamed. There must have been clothing, an accessory, or a food product that you saw on screen and couldn’t resist the temptation of buying. For instance, the elegant gown that Emma Watson wears in the movie Little Women or the watches that Robert Downey flaunts on the screen.
AI-powered Video Deduplication Brochure
Quantiphi’s Video Similarity-powered solution offering enables Media, Sports and Gaming Enterprises to dramatically transform their content management, save on cloud expenses and automate content operations.
Content Localization For Media Industry – The AI Way
Audiences today have an international content palette. The worldwide success of international titles like “Parasite” and Spanish shows like “Money Heist” only confirm that content now traverses global boundaries. As OTTs go global and studios and sporting leagues launch their own OTT platforms, the need for technology that localizes this volume of content will increase at an enormous scale. With timelines that can put distribution and post-production teams under undue pressures and stringent and diverse global distribution norms for content, this is perfect use case for Artificial Intelligence (AI).