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Multilingual Transcription Tools for Global Broadcasting: What Media Teams Need to Know

Leave a Comment / Blog, Broadcasting /

A documentary team wraps production on a series meant to launch simultaneously in six markets. The footage is locked. The delivery date is fixed. And now someone has to produce accurate transcripts and subtitles in Spanish, French, Portuguese, Arabic, Hindi, and Mandarin, on a schedule that leaves almost no room for error. This scenario plays […]

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Metadata Content Monetization Strategies: Turning Archives Into Revenue

Leave a Comment / Blog, Meta data /

A media company sits on twenty years of footage. Interviews, raw event coverage, b-roll, full episodes that never got a second life. On paper, it’s an asset. In practice, most of it might as well not exist, because nobody can find it fast enough to license it, repurpose it, or pitch it for a new

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Optimized Viewer Experience with Automated Transcription and Captioning

Leave a Comment / Blog, Captioning, Transcription /

In the fast-paced world of broadcasting, efficiency isn’t just an advantageโ€”it’s a necessity. The demand for real-time information delivery, coupled with the need for accessibility and compliance, puts immense pressure on broadcasters to streamline their workflows. One of the critical components in broadcasting is the effective use of transcription and captioning. These elements are not

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AI Content Moderation: Transforming the Broadcasting Industry

Leave a Comment / Artificial Intelligence, Blog, Content /

The broadcasting industry is undergoing rapid changes, driven by the increasing demand for live broadcasts. This surge in content necessitates robust content moderation mechanisms to ensure quality, compliance, and viewer satisfaction. AI content moderation is emerging as a powerful tool, transforming how broadcasters manage and maintain their content standards in a fast-paced digital environment. The

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Broadcast QoE Monitoring: A Practical Guide for Modern Media Operations

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Meta description: Signal drops and audio glitches cost viewers and revenue. This broadcast QoE monitoring guide covers what to track, why it matters, and how to fix gaps. A station’s master control team gets a call mid-broadcast. A regional affiliate is reporting audio dropouts during the evening news. Nobody caught it internally because nobody was

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How to Improve Media Content Discoverability with AI-Driven Solutions. Revolutionize Media Asset Discovery

Leave a Comment / Artificial Intelligence, Blog /

In today’s fast-paced digital world, quickly and efficiently discovering media content is more crucial than ever. Media content discoverability isn’t just a nice-to-have functionality; it’s necessary for organizations aiming to stay competitive. As the amount of media content grows exponentially, so does the complexity of managing and finding valuable assets. Advanced solutions leveraging AI are

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Harnessing Metadata for Efficient Archival Content Management in the Broadcasting Industry

Leave a Comment / Blog, Broadcasting /

The broadcasting industry has always been at the forefront of content creation and dissemination. With the exponential growth of digital media, the volume of archival content has surged, necessitating robust and efficient management systems. Metadata for archival content is crucial in ensuring the discoverability, management, and preservation of vast media libraries. This article delves into

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Navigating Challenges in Podcast Postproduction Workflows

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Podcasts have revolutionized the way we consume audio content, offering an accessible and versatile platform for sharing information, stories, and entertainment. Behind every successful podcast lies a series of technical challenges that podcast creators must conquer to deliver a seamless and captivating listening experience. Podcast postproduction is a crucial phase that ensures the final product

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How AI Is Impacting the Media Landscape

Leave a Comment / Artificial Intelligence, Blog /

In 2024, a broadcast newsroom had this structure: journalists reported stories. Editors assigned coverage. Photographers captured footage. Post-production teams edited. Graphics teams created visuals. Distribution teams handled delivery. Eight specialized teams. Clear handoffs. Predictable workflow. By October 2025, that structure was obsolete. A single journalist in the same newsroom now handled reporting, AI-assisted video editing,

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AI for Post-Production Media Workflows: Where It Pays

Leave a Comment / Artificial Intelligence, Blog /

It is 11pm. An assistant editor is logging a six-hour interview shoot so the edit can start at nine tomorrow. She is typing timecodes into a spreadsheet. The show has not been cut yet. Nothing creative has happened all evening. That is where post-production time actually goes, and it is the part almost nobody demos

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Required skill set:

  • Exceptional audio sensitivity โ€“ ability to understand spoken English/Other languages in different accents across the globe.
  • Good comprehension skills.
  • Proven research skills and fact-checking using Internet-based search engines.
  • Broad cultural knowledge and wide range of interests.
  • Technically proficient in Microsoft Office, including Word, Excel.
  • Ability to multi-task and work in a deadline-driven environment.
  • Good knowledge of computers and Internet.
  • Proficiency in relevant subtitling software is a plus.
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Required skill set:

  • Editing verbatim transcription of earnings calls. Earnings call is a teleconference, or precisely a webcast, in which a public company discusses the financial results of a reporting period via the internet.
  • The call typically runs from 30-60mins and consists of two parts; the Management Portion and the Q&A session.
  • Minimum 1+ Years as Editor/Proof Reader.
  • Ability to work under pressure with interruptions and challenging deadlines.
  • Team-oriented, collaborative and have a positive attitude.
  • Ability to multi-task and work in a deadline-driven environment.
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Required skill set:

  • 7+ years of related experience with computers, technical troubleshooting, and providing customer service.
  • Must have 6+ years of Linux/Unix OS experience, with a focus on administering Linux technologies.
  • Must have working knowledge in AWS or other Cloud computing.
  • Working knowledge of virtualized infrastructure environments (VMware, Nutanix AHV, Hyper-V, etc.).
  • Must have understanding of broadcast signals and transport methods.
  • Strong understanding of audio video streaming and encoding technologies (FFmpeg, MediaInfo, AVISynth and ffprobe.
  • Experience with Broadcast tools like Adobe Cloud, Adobe Premier, Avid Composer, Nexus, Interplay, and other Media products a plus.
  • Should have working knowledge and experience in DevOps tools such as Ansible, Jenkins, Docker, and GitHub
  • Ability to work under pressure with interruptions and challenging deadlines.
  • Team-oriented, collaborative and have a positive attitude.
  • Ability to multi-task and work in a deadline-driven environment.
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Required skill set:

  • 2+ years of related experience with computers, technical troubleshooting, and providing customer service in a call center environment.
  • Knowledge of broadcast signals and system preferred.
  • Previous CRM experience preferred.
  • Strong communication skills required.
  • Experience using Saleforce, Google Suite, and other basic computer related skills.
  • Basic Linux Skills preferred.
  • Ability to effectively prioritize and execute tasks and adapt to change.
  • Must show aptitude and desire to learn new skills on the job.
  • Ability to work under pressure with interruptions and challenging deadlines.
  • Team-oriented, collaborative and have a positive attitude.
  • Strong customer-service orientation with ability to be courteous and helpful.
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