Tata Elxsi’s Two Big Wins at iF Design Awards
Distinguished for Innovative Design Excellence in UI/UX and Product Design
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Transforming Digital Content Engagement with AI Recommendation Engine
Maximising Platform Performance
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Tata Elxsi Wins iF Design Awards for Excellence in UX, AR & VR
Recognised for Innovations with Turtle Beach Corporation and Leading Broadcasters and Operators
Read PRFrom Data to Delight: AI-Powered Personalization that Drives Revenue
Hyper-Personalization is rapidly transforming how businesses interact with customers across digital platforms. The need for real-time content discovery and engagement is increasing, as users expect personalized recommendations, contextual notifications, and interactive experiences that reduce decision fatigue. The shift towards cross-device personalization has become a necessity, ensuring a unified digital journey across OTT and other streaming platforms.
Tata Elxsi is empowering businesses with AI-driven Hyper-Personalization Solutions to transform digital engagement. Our unified Customer Data Platform (CDP) enables precise user profiling and integrates seamlessly with content metadata to deliver personalized content recommendations. With expertise in AI modeling, scalable cloud solutions, and strategic technology partnerships, Tata Elxsi is helping businesses drive deeper engagement, enhance monetization, and strengthen customer loyalty.
AI-Powered OTT Platform Solution for Sports and Entertainment
Business Opportunities
Delivering personalized user journeys is essential in today’s streaming landscape, where subscribers demand tailored experiences. By harnessing advanced AI and GenAI, OTT platforms can dynamically curate content, fine-tune recommendations, and analyze user behavior to drive deeper engagement. This real-time personalization not only reduces churn but also opens up new monetization avenues. With growing demand for seamless cross-device experiences, synchronizing user preferences across platforms is critical. In this evolving environment, OTT providers must embrace data-driven strategies—combining analytics, automation, and cloud scalability—to unlock new revenue streams, strengthen audience loyalty, and stay ahead in a competitive market.
Here’s How We Help
Unified Data Platform:
- Seamlessly ingests and integrates multi-source data into a CDP (Customer Data Platform) for precise audience segmentation and targeting. Boosts content consumption by 30–35% with higher user engagement and conversions.
AI-Powered Personalization:
- Leverages deep learning to blend behavioral insights and metadata for hyper-personalized recommendations. Drives 20–25% improvement in recommendation accuracy and extends watch times.
Contextual Targeting & Monetization:
- Enables dynamic pricing, gamified experiences, shoppable ads, and intuitive UI for interactive engagement. Delivers up to 40% higher ad engagement and increases transactional conversions.
Automation, Security & Performance:
- AI-driven support, self-healing systems, and robust security for seamless experiences. Reduces human dependency by 35–40% and minimizes downtime and user complaints.
Intelligent Personalization Framework: Transforming Digital Engagement
Our Intelligent Personalization Framework encapsulates the end-to-end OTT user journey. It integrates data ingestion, AI-driven insights, and contextual engagement tools into a single pipeline. Key components include real-time analytics, dynamic recommendations, and secure automation workflows, ensuring seamless content discovery, monetization opportunities, and an elevated user experience across multiple devices. Supported by robust cloud infrastructure, it scales to meet evolving audience demands.
Micro-Segmentation & Content Recommendations
AI-driven segmentation analyzes behavioral data, watch history, and content metadata to provide dynamic, real-time recommendations. Using content-based filtering and predictive personalization, it delivers both familiar and diverse content tailored to individual user preferences.
Contextual Targeting & Virtual Product Placement
AI-driven contextual targeting and virtual product placement use advanced algorithms to identify ideal scenes based on audience demographics and psychographics. By embedding products dynamically and integrating targeted gamification, businesses enhance engagement, drive seamless brand interactions, and maximize audience relevance.
Self-Service & Self-Healing Support
AI-powered chatbots that utilize sentiment analysis for instant query resolution, significantly improving user satisfaction. Self-healing capabilities proactively detect issues and automate ticketing workflows, reducing operational overhead and downtime. By addressing technical glitches swiftly and personalizing support, these solutions nurture loyalty, enhance user experiences, and fortify retention across OTT ecosystems.
Why Tata Elxsi?
- Privacy centric data platform to unify data into a single customer profile to power personalized engagement at scale.
- Next-Gen recommendation platform powered by intelligent analytics for personalized content.
- Ad monetization services to boost engagement and revenue.
- AI-powered chatbot for enhanced user satisfaction, real-time sentiment analysis, intelligent guidance and automated ticket creation.
- Proven expertise in UI/UX design & managed services with 100+ engagements.
Information Hub
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How does hyper-personalization benefit OTT platforms?
Hyper-personalization tailors content and engagement strategies to the unique preferences of each subscriber. By analyzing viewing habits, demographics, and real-time feedback, AI algorithms deliver highly relevant recommendations and marketing messages. This significantly enhances user satisfaction and watch time, resulting in improved retention rates and higher revenue. Additionally, personalized advertising formats, such as interactive or contextually targeted placements, reduce ad fatigue and maximize conversions. Overall, hyper-personalization creates a seamless, user-centric experience that fosters deeper loyalty and positions an OTT platform for sustainable growth.
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What role does AI play in user engagement?
AI helps identify intricate viewer behaviors, predicting potential churn, and refining recommendation algorithms in real time. By harnessing big data, AI-based engines can dynamically adjust interfaces, highlight trending content, and optimize ad frequency. In customer support, chatbots and sentiment analysis expedite response times, resolving issues more effectively. Consequently, AI fosters continuous improvement of user experiences, ensuring that OTT services remain responsive, relevant, and profitable in an ever-evolving digital ecosystem.
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How can contextual targeting improve ad monetization?
An OTT platform often processes large volumes of personal and usage data, making privacy and security paramount. A robust CDP with encryption, access controls, and compliance measures safeguards sensitive information and ensures adherence to global regulations. By mitigating security risks, services can build consumer trust, maintain brand reputation, and avoid costly legal repercussions. Reliable data protection also underpins personalized features that rely on user insights for targeted, relevant engagement.
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What makes Tata Elxsi’s approach stand out?
Tata Elxsi’s integrated solutions merge AI-driven user insights, secure cloud infrastructure, and innovative UX design. Our in-depth domain expertise empowers OTT providers to adopt advanced personalization, contextual targeting, and automated support. We deliver scalable frameworks that align with evolving market needs, ensuring faster deployment, reduced operational complexities, and consistent quality. This holistic approach results in heightened engagement, boosted monetization, and robust customer loyalty.
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Why is a secure data platform crucial for OTT services?
An OTT platform often processes large volumes of personal and usage data, making privacy and security paramount. A robust CDP with encryption, access controls, and compliance measures safeguards sensitive information and ensures adherence to global regulations. By mitigating security risks, services can build consumer trust, maintain brand reputation, and avoid costly legal repercussions. Reliable data protection also underpins personalized features that rely on user insights for targeted, relevant engagement.
