AI-powered media and entertainment experiences 

The media and entertainment landscape has never demanded more or moved faster. Audiences expect seamless, personalized experiences across every touchpoint. Data proliferates across disconnected systems. And the gap between insight and action grows wider every day.  

Valtech partners with Google Cloud to help media and entertainment companies leap beyond these challenges. We combine Google Cloud's AI and data capabilities with our deep experience in audience-centric transformation, turning fragmented data into unified intelligence, and turning unified intelligence into experiences that drive measurable business outcomes.   

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The fragmented audience challenge  

Media and entertainment companies are caught between rising expectations and operational friction.  

Audiences demand hyper-personalized experiences, yet the intelligence needed to deliver them is scattered across viewing data, customer accounts, marketing platforms and content systems. Traditional analytics can't keep pace with real-time decision making. Teams spend more time wrangling data than acting on insights.  

The companies that thrive will be able to unify their audience intelligence, act on it in real time and create scalable experiences that feel genuinely personal.  

Unify and activate

The first step is bringing clarity to chaos. Consolidating disparate data sources into a single, trusted view of your audience, then making that intelligence accessible to the teams who need it.

Data foundations for informed decisions

We design and implement cloud-based data platforms that consolidate viewing behavior, customer interactions, marketing touchpoints and financial data into unified, actionable datasets.

In complex media environments, this often involves consolidating tens of terabytes of viewing, customer, marketing and financial data into BigQuery, orchestrated with services such as Apache Airflow and Cloud Composer.

These foundations support real-time reporting, advanced analytics and predictive modeling that inform pricing, content strategy and commercial decision-making.

Conversational analytics for democratized access

Your data scientists shouldn't be the only ones who can interrogate your data. We build GenAI-powered interfaces using Vertex AI that allow business users to ask natural language questions and receive instant, contextualized answers.

Outcomes

• Unified, trusted data sources accessible across the organization
• Insights in minutes rather than weeks
• Democratized data access for business teams
• Analytics teams refocused on strategic initiatives

Personalize and retain

With unified intelligence in place, the next challenge is using that understanding to deliver experiences that feel genuinely personal and drive measurable business outcomes.

ML-powered recommendation engines

We design and deploy machine learning recommendation systems that analyze viewing behavior, content preferences and engagement patterns to deliver highly personalized content and promotional recommendations.

Using collaborative filtering, first-party data and continuous A/B testing, these systems are built on BigQuery, BigQuery ML and Vertex AI Pipelines, enabling sustained uplift in content engagement and discovery across large audiences.

Intelligent customer retention

Churn is the silent killer of subscription businesses. We build predictive models that identify at-risk customers before they leave and determine the most effective interventions to retain them.

By combining uplift modeling, causal inference and gradient-boosted models, we help media companies understand not only who is likely to churn, but who is persuadable and which intervention will deliver the greatest impact.

Explainable AI for confident decisions

Machine learning is only valuable if you can trust and understand it. We build visualization tools and semantic layers using SHAP values that open the black box of ML models, helping teams understand the factors driving recommendations and predictions.

Outcomes

• Significant uplift in content engagement through personalized recommendations
• Improved customer retention through predictive, proactive interventions
• Revenue optimization through intelligent discount targeting
• Greater confidence in AI-driven decisions through explainability

Monitor and optimize

Operational excellence requires real-time visibility. We help media organizations implement intelligent monitoring and alerting systems that catch issues before they impact the business.

Automated data quality monitoring

For global media operations, data integrity is business critical. We implement automated alerting platforms that monitor data quality across multiple markets and territories in real time.

These systems proactively detect anomalies, trigger alerts through collaboration tools such as email and Slack, and dramatically reduce the time required to identify and resolve issues that impact reporting, operations or customer experience.

Cost-aware operational optimization

Cost and performance are deeply connected in large-scale media operations. We design monitoring frameworks that track not only data quality and system health, but also workload efficiency and cloud consumption patterns.

By surfacing cost and usage signals alongside operational metrics, teams can identify inefficiencies early, optimize processing pipelines and make informed trade-offs between accuracy, latency and spend. This enables a shift from reactive cost management to continuous, data-driven optimization as platforms scale on Google Cloud.

Outcomes

• Proactive identification of data quality issues
• Business-critical problems resolved in minutes, not weeks
• Improved operational efficiency through continuous optimization of performance and cost
• Enhanced data governance and confidence at scale

Modernize and orchestrate

Beyond analytics and AI, many media and music organizations rely on complex legacy platforms at the heart of their business. Rights management, licensing, royalty processing and partner ecosystems often sit on aging architectures that limit innovation and slow time to market.

We help organizations modernize these core platforms on Google Cloud, enabling greater agility, resilience and extensibility across the entire media value chain.

Capabilities

• Cloud-native modernization of licensing, rights and royalty systems
• Migration from monolithic, on-prem estates to modular, microservices-based architectures
• Secure partner and creator portals delivering real-time transparency and insight
• API-first platforms that support ecosystem integration and future innovation

Outcomes

• Faster release cycles and improved developer velocity
• Reduced dependency on proprietary software and third-party licenses
• More transparent real-time experiences for creators, partners and internal teams
• Platforms designed to evolve as business models change

Create and scale

The content demands of modern media are relentless. Brands and marketers are eager to leverage the power and scale of GenAI and LLMs, but they're struggling to operationalize these capabilities and deliver value at scale.

Valtech GenMedia: An agentic command center

GenMedia is our GenAI accelerator that gives teams the power to control and automate creative LLMs to deliver brand-defining content at scale, all through a custom user interface.

Built on Google Cloud and leveraging Google's generative media models (Gemini, Imagen, Veo, Chirp and Lyria), the platform provides an intuitive UI workbench for creative teams, an API entry point for upstream applications, and a powerful foundation for rapidly deploying advanced workflows.

Capabilities

• Creative image generation and editing: Flexible backgrounds, inpainting, outpainting, masking and customization at scale
• Image-to-video transformation: From static brand imagery to dynamic video content with Veo
• Asset localization: Automated workflows to adapt creative assets for different markets
• Lifestyle and product visualization: Studio-quality imagery in contextual scenes, including rapid colorway generation

Outcomes

• Brand-defining content at scale
• Reduced time and cost for creative production
• Consistent brand expression across markets and channels
• Creative teams freed to focus on strategy rather than production volume

Automate

Media organizations increasingly rely on high-volume video and audio streams, from broadcast feeds to digital advertising. Manual segmentation, classification and monitoring create cost, delay and inconsistency at scale.

We apply Google Cloud’s multimodal and video intelligence capabilities to automate these workflows. Built on serverless and managed services such as Cloud Run, Cloud Workflows, Vertex AI and BigQuery, these solutions balance accuracy, latency and cost across markets and regions.

Capabilities

• AI-driven video and audio segmentation to identify programs, ads and content boundaries
• Multimodal classification using Gemini to extract rich semantic metadata
• Automated monitoring agents generated from natural language rules and policies
• Modular, cloud-native pipelines designed for cost-efficient global scale

Outcomes

• Reduced manual processing and operational cost
• Faster time to insight across broadcast and advertising workflows
• Scalable foundations for global rollout without replatforming core systems