Telecom & Media

Turn content, audience, andoperations intoadvantage

NeoStats helps telecom and media organisations modernise the AI and Data foundation, operationalise AI and Data across content and audience workflows, and build governed systems for speed, relevance, and growth.

The operating model is shifting from channel-led broadcasting to data-led experiences

More formats. More channels. More clips. More pressure on turnaround, relevance, localization, and reuse.

Telecom and media teams need a single data and AI foundation that supports publishing speed, content discovery, archive value, audience intelligence, and operational control.

  • Automate ingest, transcription, metadata, and repurposing
  • Make web, app, and social journeys data-driven
  • Industrialize multilingual access
  • Turn archives into searchable, reusable assets
  • Improve discovery, recommendation, and audience insight

Three priorities
One connected foundation

NeoStats helps telecom and media organizations move in a clear sequence: expand reach, unlock discoverability, then turn that intelligence into engagement and growth.

Translate for reach

Use AI-enabled language translation, captioning, and transcript workflows to expand multilingual access and reduce publishing friction across digital channels.

Enrich for discoverability

Digitize and enrich media assets with metadata, taxonomy, and search-ready structure so archives become a reusable intelligence layer instead of a storage burden.

Personalize for engagement and growth

Use audience intelligence, recommendation logic, and operational analytics to improve discovery, relevance, retention, and monetization.

One platform stack
Reusable services
Shared governance

NeoStats recommends building once and reusing across content, archive, and audience workflows rather than funding isolated pilots with duplicated pipelines, controls, and monitoring.

"Human approval, source grounding, permissioning, editorial trust, and production logging should be designed in from day one."

Experience

Translation workflows, archive copilots, audience insight, dashboards

Intelligence

Azure Speech, Translator, Video Indexer, AI Search, Azure OpenAI / Foundry

Foundation

Microsoft Fabric, OneLake, Lakehouse, real-time analytics

Governance

Purview, policies, access control, lineage, monitoring

From pilot to scale

NeoStats recommends proving value in focused waves while building the reusable foundation for scale.

01

Discover and align

Confirm priority channels, source systems, archive classes, KPI baselines, rights rules, and pilot scope.

02

Foundation sprint

Set up the workspace, security model, taxonomy, evaluation framework, and reusable AI services.

03

Three-pillar pilots

Launch one pilot per pillar on selected content sets and channels with visible KPI tracking.

04

Scale

Expand language coverage, archive intelligence, discovery features, audience insight, and adjacent service operations.

Selected sector reference

SABC Logo

"AI strategy and execution planning across multilingual publishing, archive intelligence, and media operations."

Public Broadcasting
  • Translate for reach
  • Enrich for discoverability
  • Personalize for engagement and growth

Why NeoStats

NeoStats brings the combination this sector actually needs: Microsoft-first platform depth, strategy-to-execution delivery, reusable accelerators, governance built in, and senior teams that stay close to the work.

Built for operational AI

NeoStats focuses on workflows that move from insight to action, not isolated analytics.

Microsoft-first delivery

Fabric, Azure AI services, Purview, and Power BI provide one coherent platform for data, AI, and governance.

Accelerators that shorten time-to-value

Felcix AI, OneMI, and Call Center AI create faster routes to conversational analytics, audience metrics, and service operations.

Value-first execution

NeoStats works through structured phases: align, build, activate, operate.

Transform content and connectivity into
competitive advantage

Talk to us about modernizing your data foundation, operationalizing AI for audience growth, or building governed systems that scale with your media and telecom workflows.