Explore how The Telegraph is utilizing AI assisted subscription science.
[Slides from Syntasa’s 4.0 Launch and Learn event in London]
Discover the 3 levels of personalization and how successful brands are winning over customers with AI/ML-powered recommendations.
Hear from NOW TV’s Senior Product Owner for Digital on how they’re enabling clickstream data in their data lake and achieving enormous efficiencies and scalability.
In this case study, read how algorithmic models have improved reach and conversion rates for an electronics company’s retargeting campaigns.
In this case study, read how NOW TV is connecting digital and offline data sources to better understand customers and deliver a superior customer experience.
Hear from NOW TV’s Insight Manager in the Data Intelligence group on how they’re unlocking their product analytics in order to serve better content to consumers.
A state transportation agency used Syntasa’s Behavioral Sentiment Analytics to surface underserved communities and inform more equitable transportation planning through AI-powered insights.
Syntasa’s Speech-to-Text Solution converts audio into text, detects language, translates non-English text, and summarizes content with advanced machine learning. It integrates with Spark for efficient processing and automated monitoring. The solution includes sentiment and topic analysis, and real-time dashboards for easy tracking and visualization, providing deeper insights for data analysts.
OMES teamed up with Syntasa and Google to centralize data across state agencies, improving access, streamlining processes, and enabling better decision-making with advanced analytics and machine learning.
Boost customer trust and conversion with Syntasa’s real-time social proofing solution that enhances product credibility using live popularity stats and AI-powered review summaries.
A regulatory agency partnered with Syntasa, Google, and T&T Consulting Services to analyze public comments related to a proposed rule. The solution helped reviewers identify exact and near duplicates to speed the review cycle.
