Skip to main content
Home

Search

Header (Main)
Industry
Mobility Mobility
Automotive
Vehicle Electrification

Vehicle Electrification

Explore
Aerospace Engineering
Optimized Aircraft Downtime and Overhead Costs for a Leading Global Airline with Automated Analytics

Optimized Aircraft Downtime and Overhead Costs for a Leading Global Airline with Automated Analytics

Explore
Rail Transportation
Railway Track Inspection System

Railway Track Inspection System

Explore
Trucks & Off-Highway Vehicles
On the Road to Connected Mobility: An ER&D Perspective

On the Road to Connected Mobility: An ER&D Perspective

Explore
On the Road to Connected Mobility

On the Road to Connected Mobility: An ER&D Perspective

Explore
Sustainability Sustainability
Discrete Manufacturing & Industrial Products
Building Technology & Smart Infrastructure
Electrical Power and Controls
Industrial Machinery
Unlock the future of manufacturing with Factories of the Future

Unlock the future of manufacturing with Factories of the Future

Explore
Process Manufacturing
Oil & Gas
Chemicals
FMCG
ISG Provider Lens™ 2024: Oil and Gas Industry Services and Solutions

ISG Provider Lens™ 2024: Oil and Gas Industry Services and Solutions

Explore
L&T Technology Services and bp sign multi-year engineering services partnership

L&T Technology Services and bp sign multi-year engineering services partnership

Explore
Tech Tech
HiTech
Consumer Electronics
Media & Entertainment
NexGen Comms
Semiconductors
L&T Technology Services Secures $50 Million Deal as a Strategic Partner from a global Network Provider

L&T Technology Services Secures $50 Million Deal as a Strategic Partner from a global Network Provider

Explore
MedTech
Revolutionizing Endoscopy with Software-Defined Innovation in Collaboration with NVIDIA

Revolutionizing Endoscopy with Software-Defined Innovation in Collaboration with NVIDIA

Explore
Public Infrastructure & Smart Cities
Integrated Smart Surveillance Project

Integrated Smart Surveillance Project

Explore
Software & Platforms
LTTS & SymphonyAI to provide AI-based transformation

LTTS & SymphonyAI to provide AI-based transformation

Explore
Services
Digital Engineering & Consulting Digital Engineering & Consulting
Artificial Intelligence
Cybersecure
Security Monitoring
Security Services
Security Solutions
Immersive Experiences
Industry 4.0
Product Consulting
Sustainability Engineering
Sustainable Smart World
5G
LTTS Completes Acquisition of Intelliswift

LTTS Completes Acquisition of Intelliswift

Explore
Product Engineering Product Engineering
Software Engineering
Cloud Engineering
DevOps
Engineering Analytics
Immersive Experiences
Sustenance & Maintenance
User Experience
Voice Innovations
Embedded Engineering
Embedded Systems
Sustenance
VLSI
Wearables Engineering
Mechanical Design
CAE & CFD
CAx Automation
Testing & Validation
Integrated Design, Validation & Testing
Lab as a Service
Testing
Enabling a Paradigm Shift in Testing An LTTS AI Perspective

Enabling a Paradigm Shift in Testing An LTTS AI Perspective

Explore
Manufacturing Engineering Manufacturing Engineering
Smart Manufacturing
Accelerated Operations
Digital Factory & Simulations
Plant Design & Engineering
Supply Chain Engineering
Sourcing & Procurement
Manufacturing & Planning
Accelerated Operations
Digital Factory & Simulations
Line Expansion & Transfer
Manufacturing Automation
New Product Development
Plant Design & Engineering
PLM on Cloud
Manufacturing Execution
Agile Supply Chain
Content Engineering
Material & Parts Management
Sourcing & Procurement
Asset Reliability Centre

Asset Reliability Centre

Explore
Plant Engineering Plant Engineering
CAPEX Project E/EPCM Services
Operational Excellence
Plant Sustenance & Management
Material & Parts Management
Regulatory Compliance Engineering
ISG Provider Lens™ 2024: Oil and Gas Industry Services and Solutions

ISG Provider Lens™ 2024: Oil and Gas Industry Services and Solutions

Explore
Solutions
AiCE
AiKno®
AnnotAI
ARC
Asset Health Framework
CHEST-rAi™
Connected Security
EDGYneer
ESM
EvQUAL
FlyBoard®
Fusion
i-BEMS
Nliten
nBOn
PSM
SafeX
Semiconductor IP
Sensor & Gateway Solution
UBIQWeise 2.0
Insights
Analyst Reports
Blogs
Brochures
Case Studies
eBooks
Events
PoVs
Webinars
Whitepapers
Careers
About Us
Accolades
Alliances
Analysts
Board of Directors
CSR
Engineer At Heart
Engineering The Change
Investors
Nearshore Centers
News & Media
Quality Management
Corporate Sustainability
Testimonials
Contact
Header (Secondary)
Search
Mail
Country
EN
DE
JP
HE
Contact

Breadcrumb

  1. Blogs
  2. Industry
  3. Redefining Existing Media Operations Processes

Redefining Existing Media Operations Processes

Ruben Joseph
Ruben Joseph

Delivery Manager, Media and Entertainment, LTTS

Media & Entertainment

Published on 09 Apr 2025

min read

Ai-Media

In part 1 of this two-part series, we delved upon the key success factors for a modern media operations setup (or service provider), including leveraging the latest in observability and AI/ML capabilities, along with shift left by design. An ideal. futuristic media operation pipeline, therefore, should embrace the below design tenets:

  • Not just data but also contextual insights - Filter out noise and contextually analyze data to understand connections and drive better insights,
  • Integrated with AI - Predict, prevent, and assist with a unique combination and collaboration of AI tools and models,
  • Automation - Automate discovery of data, APIs, workflows and key business process intelligently, 
  • Collaborative pipeline – Breakdown silos between data, tools, and teams with a common source of data and intelligent insights,
  • Secure – The criticality of the data requires utmost level of security, with such critical data and AI models recommended for on-prem runs due to legal and regulatory restrictions, and
  • Scalability – Modular components capable of easily integrating and individually scaling.

Let us try to envision this through a detailed use case and see how an enhanced media operation framework leveraging AI with Observability performs in such a scenario:

Background: 

A new web series has been launched on a subscription-based OTT platform. Post launch, immediately consistent increase in the video playback failure alerts begin to show up on the media operation SRO dashboards. The SRO and support teams are getting overwhelmed with alerts from across probes not able to quickly decide on the triage path, worsening an already poor customer experience and impacting the OTT service brand.

How an AI enhanced media operations monitoring setup helps: 

The system is driven by observability insights integrated with multiple AI agents collaborating to identify what is going wrong and provide insights on how to address it. It also has a command center dashboard where the SRE/SRO’s can view investigations and insights from the system.

 

 

In Action: Command center Agents A, B and C

Command Center Agent -  This includes an AI agent monitoring critical business flows/scenario related events and initializing investigation through group of individual AI Agents. When this agent identifies the pattern mentioned in context mentioned above it initializes investigation via Agent A.

Agent A-  App/Device Observability insights with AI  analysis and next action:

App/Device Observability Platform provides insights on patterns/demographics of the anomalies in the failure analytics trends. A custom LLM agent reviews all the analytics data and insights provided by one or more app/device observability tools/platforms and determines correlation and probable next steps.

Agent analysis: More failures get reported, when

  • The user accesses a specific content/title playback, 
  • The user watches the content more than XX duration before error occurs, 
  • The user tried to subscribe the pack before watching the failed content, or
  • The user from particular region and using specific device type(s) had higher error rates.

Next Step: Playback failures of specific content seem to be happening, Agent A shares data with Command Centre Agent, Agent B and C to initiate investigation for failures in the User/Subscription/CDN and payment gateway integration.

Agent B -  Alert monitoring tool data  with AI analysis and next action:

In a typical media operation pipeline an alert monitoring toolset is utilized, which gets alerts from various probes monitoring the overall hardware infrastructure and the software ecosystem. A custom LLM agent reviews all the alert data  and insights provided by the alert monitoring tool/platform and determines correlation and probable next steps.

Agent analysis: Based on insights handed over by Agent A (i.e., demographic, timeline, and data) Agent B analyses alerts and its data to determine probable relationships and patterns and gather further insights. This includes:

  • Alerts received from user entitlements and subscription components during the period from same region, 
  • Alerts from video encoding/transcoding and CDN delivery components during that period, and 
  • Payment failure alerts observed for the users and region during that time.

Next Step: Playback failures of specific content seem to be happening for users who are trying to purchase subscription for getting video access. Agent B shares data and insights back to command center Agent and Agent C.

Agent C - Subscription component and payment gateway data with AI analysis and next action:

A custom LLM agent reviews all the logs and tracing data of the subscription, entitlements and payment integration data and determines correlation and probable next steps.

Agent analysis: Based on insights handed over by Agent B, Agent C analyses the logs and traces to find any error or exceptions in the flow to determine probable relationships, root cause, and patterns to gather further insights It observes that:.

  • Payment partner gateway reported error for few users trying to use specific type of payment method to purchase subscription, and that 
  • Errors were observed in entitlements logs for the newly launched content due to incorrect content_Id being used on the TV platform. 

Next Step: Playback failures appear to be because of coincidental payment failures and entitlement issues for the new content for the TV platform. Agent C shares data and insights back to command center Agent.

Command center agent provides insights and guidance to the SRO and other teams for further action to resolve the issue and minimize customer experience impact.

Looking Ahead:

AI agents and advanced observability platforms are changing the playing field across industries by enhancing efficiency, optimizing workflows, and driving better customer experiences. By embracing them for media operations use cases we can not only increase efficiency but also unlock new growth opportunities, as illustrated in the use case here.

Interested – let’s start a conversation.

Relevant Blogs

A Digital Tomorrow: Rerouting the Television Experience
Digital Signage and the Future of Customer Engagement
Reimagine the Way You Visually Communicate, with LTTS FlyBoard<sup>®</sup>
Explore All

Stay Relevant With Us

Subscribe to our blogs

Ruben Joseph
Ruben Joseph

Delivery Manager, Media and Entertainment, LTTS

With over 17 years of experience in the world of  quality of experience, Ruben is an expert in Quality Assurance and Test Automation. His other areas of specialization are OTT, Video streaming, Video AD integration and user analytics.

Footer Navigation
  • Industry
    • Mobility
      • Aerospace Engineering
      • Automotive
      • Rail Transportation
      • Trucks & Off-Highway Vehicles
    • Sustainability
      • Discrete Manufacturing & Industrial Products
      • Process Manufacturing
    • Tech
      • Consumer Electronics
      • MedTech
      • Media & Entertainment
      • NexGen Comms
      • Semiconductors
      • Software & Platforms
      • Public Infrastructure & Smart Cities
  • Services
    • Digital Engineering
      • Artificial Intelligence
      • Cybersecure
      • Security Monitoring
      • Security Solutions
      • Security Services
      • Immersive Experiences
      • Industry 4.0
      • Product Consulting
      • Sustainability Engineering
      • Sustainable Smart World
      • 5G
    • Product Engineering
      • CAE & CFD
      • CAx Automation
      • Software Engineering
      • Cloud Engineering
      • DevOps
      • Embedded Systems
      • Engineering Analytics
      • Integrated Design, Validation & Testing
      • Lab as a Service
      • Sustenance
      • Testing
      • Testing & Validation
      • User Experience
      • VLSI
      • Voice Innovations
      • Wearables Engineering
    • Manufacturing Engineering
      • Accelerated Operations
      • Agile Supply Chain
      • Content Engineering
      • Digital Factory & Simulations
      • Line Expansion & Transfer
      • Manufacturing Automation
      • New Product Development
      • PLM on Cloud
      • Plant Design & Engineering
      • Sourcing & Procurement
    • Plant Engineering
      • CAPEX Project E/EPCM Services
      • Material & Parts Management
      • Operational Excellence
      • Plant Sustenance & Management
      • Sourcing & Procurement
      • Regulatory Compliance Engineering
  • Engineering The Change
  • Careers
  • Engineer at Heart
  • Resources
  • Solutions
    • AiCE
    • AiKno®
    • AnnotAI
    • ARC
    • Asset Health Framework
    • CHEST-rAi™
    • Connected Security
    • EDGYneer
    • ESM
    • EvQUAL
    • FlyBoard®
    • Fusion
    • i-BEMS
    • Nliten
    • nBOn
    • PSM
    • SafeX
    • Semiconductor IP
    • Sensor & Gateway Solution
    • UBIQWeise 2.0
  • About Us
    • Accolades
    • Alliances
    • Blogs
    • Board of Directors
    • Careers
    • CSR
    • Events & Webinars
    • Investors
    • Media Kit
    • Nearshore Centers
    • News & Media
    • Quality Management
    • Resources
    • Corporate Sustainability
    • Testimonials
LTTS
  •  Twitter
  •  LinkedIn
  •  YouTube
  •  Facebook
  •  Instagram
  • Copyright & Terms
  • Privacy
  • Sitemap
  • info@ltts.com

© 2025 L&T Technology Services Limited. All Rights Reserved.