TAG Conductor - Streamlined Operations Control
Brand new for NAB 2024 is the TAG Conductor, a control interface hosted on TAG’s Media Control System (MCS). Designed to be user-friendly, the application is HTML and API-based and can be used with a touch screen or a handheld tablet device, and it can roam with the operator. This new intuitive touch panel interface allows users to switch sources or mosaic layouts with the touch of a finger achieving the rapid response necessary for system control in a live media control room or network operation center environment. Operators no longer need to waste valuable time searching menus but can access pre-defined, customizable configuration and operational functionality with just a tap on the mosaic. This dramatically removes overall complexity and simplifies day-to-day tasks. Access to the console is managed by role and permissions, ensuring security.

TAG Language Detection – Automatic subtitle language detection and analysis
Also new for NAB 2024, TAG is introducing TAG Language Detection, a revolutionary innovation that not only identifies the subtitles’ language but also calculates and analyzes quality based on language-specific dictionaries. This process introduces cutting-edge automation eliminating the manual labor traditionally associated with language identification, minimizing the risk of human error, and freeing up operators to focus on more strategic tasks.

By transforming caption quality checks into a data-driven operation, TAG Language Detection empowers operators with proactive monitoring capabilities. Real-time alerts ensure that potential quality issues are swiftly addressed, while the feature's data visualization capabilities enable operators to monitor at scale and identify trends over time. Additionally, by adhering to relevant compliance regulations, organizations can safeguard their legal and reputational standing.

Maximize Data Utilization – Live on the Show Floor
TAG is demonstrating, in real time, how dashboards are easily built and customized with well-known open toolsets like Kibana, Grafana, and Kafka to address any level of detail and show users how to maximize the full extent of their data and gain invaluable insight from TAG’s Realtime Media Platform.

End-to-End HDR Workflow Capabilities
TAG’s end-to-end HDR workflow capabilities are being shown with both HDR up-conversion and down-conversion to facilitate combined SDR and HDR workflows. This increase in functionality supports deep real-time HDR end-to-end metadata monitoring providing users with a higher level of agility to achieve incredible HDR quality.

Elevating the Workflow Eco-System with Best-of-Breed Technology Partners - Integration Demos
Delivering the highest-level quality of service, the latest technology advancements, and viable options for business advancement come to life on the show floor as the company presents integrations with best-of-breed technology partners.

Amagi - TAG’s recent partnership with Amagi delivers more accurate and effective monitoring through TAG’s advanced all-software and cloud native technology. This integration implements TAG’s monitoring by exception capabilities and leverages its easy-to-use APIs to efficiently monitor and control a substantial number of channels enhancing the reliability of Amagi’s FAST and broadcast streams.

Dataminer - Support for TAG’s platform has been integrated into Skyline’s Dataminer media management platform. This integration simplifies deployment and configuration and increases end-to-end visibility, automation, and user control of large-scale TAG installations. Operators benefit from simultaneous insight into the status of their infrastructure from Dataminer, along with insight into the health of their content and live streams from TAG.

QoE at Scale with advanced algorithms- Structural Similarity Index Measure
Based on TAG’s unique Content Matching Technology, the company now supports straightforward, perception based QoE measures like Structural Similarity Index Measure (SSIM). TAG users will be able to numerically compare the video quality before and after the encoder or between any two points in the workflow, and evaluate even the most complex, high-noise levels video based on the SSIM smart algorithm.