Boon AI Machine Learning Integration Platform

Agama’s Client Device Monitoring solution provides detailed high-resolution real-time information on technical service quality, viewer behavior, and device health. Data is automatically collected from the viewers STB, other customer-premises equipment and/or player apps.

A key component of our solution is a lightweight software client integrated in the device or player software. The client sends compact, binary data about events and

continuously monitored metrics to the solutions central ingest infrastructure at frequent, configurable intervals. The information includes quality-related events such as packet loss and unavailability. State reporting makes it possible to see if the viewer has been watching multicast services or playing adaptive bitrate on-demand content, for example. Detected events are mapped to the relevant channel/asset and service type.

The client also supports reporting of device parameters such as CPU, memory and hard disk usage.

The integration (or adaptation of existing integration) of the client is performed by the STB or player application vendor with support and Quality Assurance performed by Agama to verify the integration. The client is deployed remotely via standard software update mechanisms.

The solution provides information on precisely the services that each viewer has watched. Opt-out settings and support for anonymization enable compliance with privacy legislation including GDPR.

Efficient Actus ratings graphing and analysis tools provide a clear graphical view of ratings alongside the video broadcast on each channel that earned those ratings.

This is a great tool for News to work with graphics and talent and improve performance, as well as for sales to prepare Advertiser Sales Pitches perhaps researching demographic performance as it applies to them. The easy to read graphs are based on data received from rating and audience measurement companies such as Nielsen, Comscore, Kantar, IBOPE, TNS, AGB, BARC, GFKGallup and/or any others data source that relate to performance per channel over time.

The result is better program planning, ad placement, program scheduling and performance. This helps improve your ratings which can significantly increase revenues.

Tiger Bridge is a non-proprietary, software-only data management solution that blends on-premises and multi-tier cloud storage into a single space and enables hybrid workflows. This human-friendly, transparent and seamless file server extension enables millions of Windows server users to benefit from cloud scale and services, while securely preserving legacy applications and workflows.

Tiger Bridge addresses a number of data management challenges including, but not limited to, File Server Extension, Disaster Recovery, Cloud Migration, Backup & Archive, Remote Collaboration and Multi-site Sync and Continuous Data Protection.

Benchmark’s PIPE|Bridge is an interface system, which receives financial data from agencies like Bloomberg/Reuters in realtime and pushes to broadcast graphics engines. The data will be stored in local database for while dumping to PIPE|Bridge database for processing.  The product has different modules as explain below:

Pipe Failiover: Enables redundancy for Reuters / B-PIPE©data. It monitors the data feed and in case of Main feed failure, it switches to backup feed.

 Pipe Feed Handler:  The Feed Handler application is used to define and manage the securities (stock code), for which the realtime data is need . The Feed Handler service will pull the data from the data provider, and dump it to the database. The system enables smooth real-time data stream between the data provider and the database

 Pipe History Archive: The history archive enables users to extract massive historical data of subscribed securities for processing and display them as graphs/Charts

 Pipe History Scheduler: History scheduler ensures daily market data of each security Is captured on the database

 Pipe Viz Updater: Viz updater, pushes security values to graphics & ticker engines on request by the systems.

 Pipe RSS Feed :   RSS module listens and process the RSS feeds and enable them to be displayed in the graphics engines

The core of the Agama solution is the central Enterprise Platform. The Enterprise Platform provides real-time aggregation, alarming, and storage of data retrieved through an ingest layer. The ingest layer can handle data reported by our Analyzers products in the head-end and network, by our clients in STBs and OTT players, and from adaptation interfaces for ingesting data from third-party sources. The Enterprise Platform also features an application platform, which provides core applications with interfaces for system management, technical operations, and reporting. The application platform is modular and can be extended with additional applications.

For high capacity exporting and reporting as well as other data mining use cases, the Enterprise Platform’s real-time core can be complemented by an architecturally isolated data platform, thus separating time-critical operations from data mining use cases.

For integrations with northbound NMS solutions, inventory systems and data warehouse applications, the Enterprise Platform provides an integration framework with SNMP alarms, provisioning APIs, and optional high-capacity file export.

From playout to the edge, the Analyzer OTT product family actively monitors and analyzes adaptive bitrate services at packager, origin and CDN edge caches. The Analyzer OTT EDGE actively downloads and analyzes playlists and segments and is ideal for assuring readiness to deliver throughout the CDN. The Analyzer OTT H-E does all that plus codec and content level analysis.

Analyzer OTT Edge is designed for monitoring and analysis of adaptive bitrate services at packetizers, origin and edge cache servers. Its in-depth analysis covers the availability of services, manifest correctness and segment availability.

With support for all leading formats, such as MPEG-DASH (supporting DASH264 profiles), HLS 7, MS Smooth Streaming as well as HDS, the Analyzer OTT Edge provides in-depth analysis, proactive alarming and visualization and troubleshooting tools. Examples of other supported features are: Connection, DNS and HTTP metrics for Manifests and segments, TR290 validation for HLS.

QoS and QoE are available per profile, asset and originating server. Fine-grained alarm and alerting for quick detection of errors and fast troubleshooting.

Analyzer OTT Edge is available in different capacities, to cover both small and large installations.

Analyzer OTT Head-End is designed for deployment in the head-end for assurance of adaptive bitrate streaming services. Its in-depth analysis provides assurance of all levels of the ABR stack: availability of the service, manifest correctness, segment availability and correctness, as well as the video/audio quality.

The Analyzer OTT Head-End provides at a glance insight into the current and past service performance, detecting issues in IP connectivity and configuration, packetizers and transcoders.

The Analyzer OTT Head-End supports the leading streaming protocols such as MPEG-DASH, HLS, MS Smooth Streaming and HDS and validates manifest as well as segments.

WO Analytics provides business intelligence specific to the local TV and radio industries, consolidating all relevant data from both WideOrbit and third-party systems within a single analytics platform. A unified view across channels, markets, and platforms makes it simple for any user to analyze business performance, spot inefficiencies, and pinpoint new revenue opportunities.

• Built for Media: Pre-built media analytics solution that can be customized and deployed quickly


• Single Source of Truth: Combines relevant data, down to the spot level, from multiple WideOrbit and third-party sources into a single data lake


• Immediately Actionable Data: Access pre-built dashboards to help your organization analyze business performance, spot inefficiencies, and pinpoint new revenue opportunities


• Accessible and Flexible: Drill down and share data with just a few clicks from any device Seamlessly integrates with WideOrbit’s ad traffic management system, WO Traffic

Our industry-leading and award-winning cloud-based active metadata management platform, Atlas, includes a flexible and extensible data model using automated processes to unify, cleanse, organise and harmonise disparate sources of descriptive metadata.

MetaBroadcast utilises industry leading data science techniques and proprietary algorithms to accelerate filtering and classification of ingested metadata. Machine learning and artificial intelligence streamline ID matching, metadata enrichment and content healing.

In addition, customers can access Atlas' index and search capabilities to review MetaBroadcast's data warehouse to enhance metadata within their own CMS. Atlas simultaneously processes millions of data fields in near real-time; and is easily integrated with 3rd party platforms.

The efficiency and accuracy of our Atlas gives customers the confidence that we can continuously adapt to their market-driven requirements and empowers them to maximise audience awareness of all available content.

• Accurate data, including correct titles, spelling and use of alpha, numeric or special characters


• Validated data IDs, brands, hierarchies and genres


• Relevant data that provides context about the content and that is useful to various lines of business.

• Configurable ingest templates


• Accepts all file formats


• Multichannel audio

Agile Experience is the front face that powers Agile TV.

This comprises various frontend components that enable Operators to offer a TV Service as part of their overall package. Agile Content Experience allows operators to provide their TV Service on a range of devices,including linear packages and premium channels, OnDemand catalogs, and subscriptions.

All of these features can be accessed via a single, personalized interface, ensuring a consistent and customized experience for the user.

We pride ourselves on delivering the best user experience, with cutting-edge UI and availability across most mainstream devices.

• Operational Monitoring of Media Networks


• Centralized Server/Client Architecture with Redundancy


• Web Booking Portal


• XML Scripting Engine for Device Modeling


• Alarm & Trap Management


• Customizable GUI


• Quick Implementation and Integration of New Devices


• Quick First-Time Set-up


• Quick Provisioning for Future Planning

• WATCH this Video on ProMD EMS


• WATCH 100G Eco-System Video

• DOWNLOAD Datasheet


• DOWNLOAD Media Links Solutions Brochure


• DOWNLOAD North America Case Study (Telecom)


• DOWNLOAD Metropolitan Distribution Network Application Note


• DOWNLOAD Live Sports Production Application Note


• DOWNLOAD Centralized IP Switching Application Note


• DOWNLOAD WAN IP Network Application Note

The Boon AI machine learning (ML) integration platform breaks down the ML adoption barrier for media technologists looking to automate digital asset management at scale. It provides a no-code/low-code workflow for users without ML expertise to run their unstructured media assets against a suite of computer vision APIs from Google, AWS, and Azure with just a few clicks. 

Run agile ML experiments to validate business use cases and start automating manual tasks like metadata tagging, image classification, speech transcription, and content moderation with Boon's GUI-driven workflow. 

• Multi-vendor ML APIs: Easily access image, text, and logo detection, content moderation, speech to text APIs from GCP, AWS, and Azure


• No-code workflow: Select the APIs, run the analysis, manage and evaluate results with a point-and-click workflow


• Vendor orchestration: Eliminate ML API vendor account setup, API documentation, billing.


• Data prep: Boon AI transcodes raw images, video, and PDF documents to vendor-ready format at scale


• Data visualization: Run faceted searches and view the ML results in JSON and human-readable format, compare ML model confidence levels


• Metadata integration via API: integrate resulting metadata into custom or third party app with Python and REST APIs

Why engage with Boon AI?

Boon AI breaks down the AI/ML adoption barrier by enabling agile ML experimentation and implementation not supported by traditional AI/ML workflows. The platform enables media tech teams to:

• Stand up an ML pipeline without a dedicated team   


• Modernize media management workflows through ML-automated media management 


• Integrate ML features into apps you're already using with minimal code 


• Enable agile ML experimentation and rapid cycle innovation


•  Compress a 12-month development cycle down to an hour

Boon AI provides a modern, no-code ML implementation for innovation teams in media and entertainment, broadcast, ecommerce, CPG, advertising, and UGC-driven industries. Boon AI is a product of Zorroa.

• Automates workflow from linear-tv to digital offers.


• Enables personalised user-experiences through playlist generation.


• Makes sub-content accessible & searchable.


• Combines video-content-data to users-datas for unprecedented insights.


• Enables fast-track promotional content creation.


• Enables Contextual Advertising.


• Enables new ways to monetise video-content.

• Enables classification of video-content and sub-content.


• Enables personalised user-experiences through playlist generation.


• Enables Contextual Advertising.


• Improves Search Engine Optimisation.


• Improves Content Recommendation Engine.

For companies that create or manage a large volume of digital media CatDV helps teams organize, communicate and collaborate effectively. Its simple, yet powerful tools support some of the world’s most sophisticated media workflows and provide the flexibility to work your way. 

CatDV is a media asset management system that consists of a suite of products, providing a scalable, cross-platform, media asset database that can handle a very wide range of file types.

CatDV creates a catalog of all kinds of media assets, not just video (although enhanced support for video content is included) but also still images, audio files, PDFs, etc. You can log metadata against your media making is searchable using key words, not just clip titles. It also provides analysis and transcoding of media files with advanced logging tools, sequence editing and integration with non-linear editing applications.

Unlike many Media Asset Management products CatDV can start small and grow seamlessly. With its scalable and modular architecture the CatDV product family has an offering that’s right for every user. Many of our customers with tens or hundreds of networked CatDV users started with small systems that grew alongside budgets and new requirements.

With nearly a decade of developing AI and computer vision tools for the world’s number one interactive video platform at WIREWAX, and with another two decades of experience in the video and broadcast space, the team identified ways to leverage the platform’s award-winning image processing technologies in the big media sector too.

Lightning fast; face and object recognition, segmentation, fingerprinting, speech recognition and many other unparalleled tools available in the suite has changed the game for the broadcast and media industry.

Being able to scan entire archives of video assets and create a powerful, digital understanding of videos, programmes and movies with this core technology has enabled large TV and movie studios to leverage data and digital tools and services like never before.

We’ve not met a media business on the planet that doesn’t have a digitised asset problem. Lack of metadata, no understanding of content, zero monetisation capabilities and gigantic and disorganized archives. Not to mention expensive asset management, overpriced syndication and VOD preparation, and notoriously slow and extortionate manual services.

A recent study on Media Industry revealed that out of all the content spread around different servers & clouds, 25% to 30% are duplicates.

• A variety of content operations are responsible for generating multiple duplicates, which add to storage costs and slow down migration to content. These duplicates are almost similar variants of the same content, which makes their identification difficult.


• Furthermore, while fast migration to the cloud is necessary to streamline content management, cloud storage is expensive.  

Hence, an end-to-end smart Video Intelligence solution is a must-have to manage content well and save on unnecessary expenses.

Quantiphi’s Video Deduplication Solution enables Media Enterprises to autodetect, delete, and restore similar content, thus saving on cloud expenses and automating content operations.

• Accurate Data – This is the only expectation from the industry currently



• Actionable Data – We have gone beyond the current expectation to create Action Toolkits

• Data



• Action Toolkits

BitSave v.2 is the next generation AI technology offered by iSIZE Technologies for fast and low complexity precoding with significant bitrate savings. Available both as a SaaS platform at bitsave.tech and for on- premise use as a “bolt-on” solution on top of any standard or proprietary video codec.

Precode and Encode videos up to 500% faster than other encoding services. Save time and reduce your cloud energy footprint

BitSave technology is compatible with any codec, including AVC, HEVC, VP9, AV1, and even the upcoming AV2 and VVC, with increased gains in bitrate and quality offered for newer standards

Reach ultimate video quality for resolutions up to 8K. Reduce streaming bandwidth by as much as 40%

Less than $5 per hour of content for all resolutions up to 4K – up to 50% cheaper than the most competitive solutions

Hero Scheduling is designed base on TV broadcaster work flow. It has been proven the efficiency for multimedia archive, newsroom, sub-control room, post production and government associations which need to archive and share their media asset. Hero Scheduling can be smoothly integrated with existing system.

Hero Scheduling could be perfectly integrated with Hero Playout as an efficient media Channel in Box system. Please find more in "4K Channel in Box system" page.

Basic Operation:

◎  WEB UI to manage database, edit playlist and appoint playout time.

◎  User can search, add and modify the video database.

◎  User can search by channel name, category, keyword, and archive date.

◎  System log  for operation record, showing user account, operating time, page, event…

◎  Auto-archive by dragging clips to watch folder.

◎  Auto-import and record metadata like video name, resolution, length, format...,no extra effort require.

◎  Clip info including Program name, category, note, 2 titles, 6 logos, in/out point, time code(up to 64 set), file existing or not.

Playlist:

◎  Playlist could be import, save, and export to excel file.

◎  Showing the length of daily playlist.

◎  Able to combine files and live program in 24HR playlist for playout system.

◎  Auto-accumulate program length while editing playlist.

◎  Able to save video split record, easy to edit next time.

◎  Different titles, logo and time for every program.

◎  Customized playlist transfer tool for all systems.

Administration:

◎  Account authority management mechanism.

◎  Channel management: able to add, delete channels and categories.

◎  To set account authority to access every channel for editing playlist, clip, and system management.

◎  To define clip categories, ex: program, ad, promotion…

Equipped with the technological power of AI, Digital Nirvana’s MonitorIQ 7.0 provides new capabilities for compliance logging and monitoring. Known as the industry’s most reliable, secure, and easy-to-use broadcast monitoring and compliance logging platform that allows operators to record, store, monitor, analyze, and repurpose content quickly and efficiently with a minimum of clicks. MonitorIQ enables broadcasters to collect and use knowledge about their broadcast content to meet a wide range of regulatory and compliance requirements. Version 7 of the Digital Nirvana platform gives broadcasters access to valuable next-generation content processing and analysis tools.

Digital Nirvana’s MetadataIQ is known for accelerating the speed of content creation while simplifying and automating the metadata generation process. MetadatorIQ is a secure, scalable platform to automate the process of metadata generation for production, pre-production, and live content residing in AVID. It aids in a secure and efficient generation of metadata Avid based assets. The 100% automatic generation and ingestion of relevant metadata along with locators into AVID helps editors to accurately identify relevant content, thereby saving time and effort.

• Multiple field types, relationships and validation dependency options


• Configurable modules and templates


• Each ticket can have its own workflow and/or be part of a system wide workflow involving inter- relationships


• Enforce security by tiered, group access control across all ticket types


• Notification settings – automated E-mail to individuals or groups


• Comments and attachments for all documents – stored centrally


• Group inheritance allowing for different levels of users (basic up to super user)


• 3rd party accessibility (and access control in line with security policy)


• Multiple user interfaces


• Geo-data presentation of information


• Graphical reporting dashboards


• Extensive data querying and reporting options


• Export to multiple file types or formats including XLS, PDF, XML, PDF, CSV or custom format


• Audit logs track all changes to your data Highly configurable status workflow engine Validation rule setsAPI gateway access