Interra Systems – How Broadcasters can Improve Quality Control for Captions and Garner Greater Efficiency Through the Use of the Latest AI and ML Technologies

Interra Systems – How Broadcasters can Improve Quality Control for Captions and Garner Greater Efficiency Through the Use of the Latest AI and ML Technologies

Skip to content
IABM
Login / Register
The MediaTech Vantage account needs to be created. Please contact the administrator
Menu
  • Home
  • Join IABM
    • Join IABM
    • Global Engaged Partner Program
    • Affiliate Membership Program
    • Trade Show Support
    • IABM Member Companies
    • Benefit Comparison Grid
    • Discount Calculator
  • IABM Impact (IABM at IBC 2025)
  • News
    • All News
  • Knowledge Hub
      • Topics
          • Topics
          • Ad Tech
          • Adjacent Markets
          • AI/ML, Data & Analytics
          • At-Home/Remote Production
          • Business Models
          • Cloud & Virtualization
          • Consumer Habits & Experiences
          • Data Privacy & Management
          • Digital & Social
          • Digital Transformation
          • Edge Computing
          • Financials, Investment & M&A
          • Imaging
          • Immersive
          • Insight & Analysis
          • IP Transport & Networking
          • Mobile
          • Next-Gen Hardware
          • Next-Gen Standards
          • OTT & Streaming Platforms
          • Programming & Creative
          • Rights & Legal
          • Sales & Marketing
          • Security
          • Skills & Education
          • Social Media
          • Supply Chain
          • Sustainability & Inclusion
          • Content Chain Elements
          • Create
          • Produce
          • Manage
          • Publish
          • Monetize
          • Connect
          • Support
          • Store
          • Consume
      • IABM Journal
          • Journal Coverjournal 134
          • Journal 134
          • Journal 133
          • Journal 132
          • Journal 131
          • Journal 130
          • Journal 129
          • Journal 128
          • Journal 127
          • Journal 126
          • Journal 125
          • Journal 124
          • Journal 123
          • Journal 122
          • Journal 121
          • View all
      • Spotlight Reports
  • MediaTech Intelligence
    • MediaTech Vantage
    • MediaTech Radar
    • Bespoke Research
  • Skills & Development
    • Training Courses
    • E-Learning Courses
    • Training Partners
    • Student Awards
  • Our Community
    • IABM Team
    • IABM Members’ Board
    • Member Councils
      • Americas’ Council
      • APAC Council
      • DACH Council
      • EMEA Council
      • UK Council
    • IABM Business Standard
    • Honorary Members
  • Events & CatchUp
    • Events Calendar
    • IABM Supported Events
    • NAB Show 2025 Content
    • In Conversation with
    • IABM 2024 Content
  • Technology
    • Technology & Trends Roadmap
    • Standards Monitoring Group
    • Standards Activities
  • BaM™ Shop Window
    • Search the BaM™ Shop Window
    • BaM™ Shop Categories
    • BaM™ Shop Window Product Submission
    • BaM™ Shop Window FAQ’s
    • BaM Content Chain
  • Dealer Directory

Search the IABM Knowledge Hub


Tag: data

Interra Systems – How Broadcasters can Improve Quality Control for Captions and Garner Greater Efficiency Through the Use of the Latest AI and ML Technologies

This presentation will look at how the latest advancements in AI/ML are helping to improve quality control of captions. The session will also explore new ML solutions for text detection and speech to text conversion, and how, by using these intelligent techniques, broadcasters can auto align content and text suggestions, save significant time and expense, while increasing accuracy and creativity.

View More

Interra Systems – Object Detection: The Opportunities and Limitations for Media Applications

This presentation will explain the basic limitations of deep learning-based methods and corrective measures that might help improve the outcome of any ML-based solution. The benefits of manual review and offline/batch training will be discussed. Attendees will gain a better understanding of the inherent limitations of the ML methods to use the technology more effectively.

View More

Digital Nirvana – Accomplishing Rapid Closed-Captioning Across All Platforms, Using AI

Data Week AI/ML & AnalyticsAccomplishing Rapid Closed-Captioning Across All Platforms, Using AIRussell Wise, Senior Vice PresidentArtificial intelligence (AI) and machine learning (ML) processing in the cloud today offers impressive accuracy, scalability and trainability across a variety of applications useful to production houses and content creators. To benefit fully from these services, however, users must be able to integrate AI- and ML-driven microservices into the on-premises workflows that already support day to-day operations. [bc_video video_id="6187288104001" account_id="4229317768001" player_id="BkgkXSCcOM" embed="in-page" padding_top="56%" autoplay="" min_width="0px" max_width="640px" width="100%" height="100%"]

Dalet – Fostering Effective Collaborative News Production in COVID-era Newsrooms

Data Week AI/ML & AnalyticsFostering Effective Collaborative News Production in COVID-era Newsrooms using Neural AI Multimodal Recommendation TechniquesMichael Elhadad, Director of Research & DevelopmentSPEAKER BIOMichael Elhadad is a co-founder of Dalet and serves as a Member of the Management Board and Director. Mr. Elhadad has been Director of Research & Development of the group since 1996. Mr. Elhadad graduated from Ecole Centrale de Paris and has a PhD in Artificial Intelligence from Columbia University. He is the author of over 50 papers on Artificial Intelligence and Computational Linguistics.As news production teams are increasingly forced to work in a dispersed manner, technology solutions can partially alleviate the lack of co-location to create connections among journalists. We report on an experiment where AI techniques are used to recommend multi-media content to journalists when they are working on their stories. These techniques rely on dramatic, recent progress in Natural Language Processing and Vision research, including neural pre-trained Transformer models such as BERT (Bidirectional Encoder Representations from Transformers). At Dalet, we have developed a news recommendation system for journalists as a set of cloud-based SaaS APIs. In this talk we will report on user experiments with journalists that cover text and video in multiple languages...

NAGRA

NAGRA is the digital TV division of the Kudelski Group and the world's leading independent provider of content protection and multiscreen user experience solutions for the monetisation of digital media. They include a scalable service protection offering featuring active streaming protection, CAS/DRM, anti-piracy services and forensic watermarking; direct-to-TV solutions including TVkey Cloud; an integrated and secure video services platform to drive content discovery, content monetisation and multiscreen deployments; sports OTT streaming solutions; an AI-driven business performance platform; and media asset management.

M&E Workflows and Hybrid Infrastructure – Using the Cloud to Augment Traditional Workflows

A new stage of disruption is coming. Following the rapid shift to remote workflows, the move back to traditional workflows required for finishing and/or distribution will force organizations to revise their approach. A cloud strategy should be centered around data rather than applications and services so existing workflows are augmented by the cloud rather than disrupted. Watch our presentation to find out 10 key features organizations should look for in a solution in their journey towards building a future-proof hybrid infrastructure.

View More

Multiviewing and Monitoring in a Virtual Environment

Covid-19 changed the way we live, study and work. It’s been an enormous adjustment with more questions than solutions, especially in the video world. This session addresses the advantages of an IP infrastructure when remote operation becomes a necessity. Learn how to control a mosaic/Multiviewer system from anywhere, discover specifics such as how to see alarms remotely, aggregate logs from different systems, empower multiple users, operating an API, and assess the cloud and its reliability.

View More

Edge Computing for media. Making sense of cloud services

Edge Computing means that media and data are physically located closer to the users who connect to it and use it. Content can be worked on quickly, securely and without latency. Workflows using local machinery such as quality control, edits, transcoders, etc. are still local, but connect seamlessly into workflows and access operated via the cloud, for example multi-point sharing, collaboration, distribution, or delivery workflows. Edge thus means "working simultaneously on the edge of the cloud + in the cloud".

View More

IABM Special Report – September 2020

IABM Special ReportDetailed, Strategic Data Driven Industry AnalysisFollow the story#IABMReportThis report gives IABM members an exclusive strategic analysis of the Broadcast and Media technology industry, identifying the key trends driving change in the sector in this period of enormous distruption due to the Coronavirus pandemic.Our world class Business Intelligence Unit provide a variety of information, including major trends in Broadcast and Media, financial indicators and technology adoption trackers to give a comprehensive overview of the state of the industry.We recommend viewing the interactive version of the report using the details below but a PDF version is available here.VIEW AN INSTRUCTIONAL VIDEO ON HOW TO NAVIGATE THROUGH OUR INTERACTIVE REPORTS[bc_video video_id="6188842471001" account_id="4229317768001" player_id="SJfIl7nyz" embed="in-page" padding_top="56%" autoplay="" min_width="0px" max_width="640px" width="100%" height="100%"]Introduction & Industry at a GlanceCharting Media & Technology Drivers of ChangeCharting Content Supply Chain InvestmentCharting Media Technology Adoption

Rise In conversation with Cait O’Riordan – Chief Product & Information Officer – Financial Times

Cait O’Riordan is the Chief Product & Information Officer at the Financial Times, hitting the 1 million subscription target one year early. She has an impressive career history which includes being the VP of Product at Shazam, devising the BBC's digital strategy for the London 2012 Olympics and previous to that, a career in journalism.

View More

Posts pagination

Previous page Page 1 … Page 3 Page 4 Page 5 Page 6 Next page

IABM Platinum Members

IABM Gold Members

IABM
View all Members

Connect. Support. Inform

  • twitter_icon
  • ln_icon

  • About Us
  • Contact Us
  • IABM Privacy Policy
  • IABM Cookie Policy

© 2025 IABM IABM is company limited by guarantee. Registered in England No: 5262009. Registered Office: 105 High Street, Worcester, WR1 2HW

X