We are proud to return as a Gold Sponsor of the 2025 AMEC Global Summit on Measuremetn and Evaluation, taking place in Vienna from 10 to 12 June. At this year’s Summit, DataScouting will demonstrate how integrating Large Language Models (LLMs) into our MediaScouting Core platform is transforming PR and media intelligence workflows through smarter automation and deeper insights.
Coding with Large Language Models: Infrastructure and Evaluation Across Models
Stavros Vologiannidis, Founder of DataScouting will be speaking on Wednesday, 11th of June. His presentation is tailored for PR and communication professionals navigating today’s complex media landscape, showcasing how Large Language Models (LLMs) can automate traditionally manual tasks. He will share a comparative evaluation of LLMs on coding tasks and demonstrate how DataScouting’s AI-powered infrastructure supports communication professionals, analysts, and PR teams in streamlining media monitoring, enriching data, and generating insightful reports across online, social, broadcast, and print media – ultimately enabling faster, more consistent, and accurate reporting, delivering deeper insights for strategic decision-making
Key take-aways:
- Discover how Large Language Models (LLMs) can automate manual tasks in PR and media workflows.
- Gain insights from a comparative evaluation of LLM performance on various coding tasks.
- Learn how AI-powered infrastructure enhances efficiency in media monitoring and data enrichment.
- See how automation improves reporting across online, social, broadcast, and print media.
- Understand the strategic value of LLMs in enabling faster, more accurate, and more informed decision-making.
- Explore real-world applications of LLMs within the DataScouting platform tailored for communication professionals.
Top reasons why to visit our booth at the 2025 AMEC Global Summit
The AMEC Global Summit embraces technology, and delegates will be able to explore best practices across the communications funnel, including innovative artificial intelligence and machine learning.
Stavros and Sophia will be at the Summit Venue – the Vienna Marriott Hotel, Exhibitor Atrium – from Tuesday until Thursday, 10-12 June. You are welcome to visit our booth to discuss your needs. Our team will be on hand to demonstrate you how you can streamline your media monitoring workflows using our MediaScouting Core, featuring a robust media intelligence dashboard and advanced coding capabilities.
Multi-platform content delivery
MediaScouting Core is a robust, automated one place source with everything you need to know from content marketing to competitor intelligence to help you get a real-time understanding of your brand’s media intelligence ecosystem. All insights are backed by smart data so that you can make smarter, actionable decisions. So, when evaluating the best dashboard for your business you should make sure it offers some must-have features.
- Includes data from Broadcast, Online, Social, dark web, and Print in a single dashboard.
- Search and identify content of interest using speech recognition, face/logo recognition or any other AI modules from DataScouting.
- Work with content from multiple languages using machine translation.
- Use modules, such as entity recognition to find relationships across content.
- Drill down to information using content visualizations.
- Create reports using customizable profiles.
- Schedule customizable automated email reports and alerts.
- Share data via RSS, Messenger, WhatsApp, or any other integrations.
LLM-Powered Automation of Coding for Analysis in MediaScouting Core
As part of our ongoing innovation, DataScouting is integrating Large Language Models (LLMs) into the MediaScouting Core media intelligence platform to enhance automation in content analysis. This integration empowers media and PR professionals with faster, more scalable insights by automating the coding and interpretation of media content across multiple formats:
- Automated content tagging: LLMs classify and label content based on sentiment, topic, entities, and other metrics – significantly reducing manual workload, accelerating turnaround times, increasing tagging precision, and ensuring consistent coding standards across analysts.
- Enhanced thematic analysis: automatically detects emerging themes, trends, and narratives across large datasets in online, print, social, and broadcast media.
- Content summarization: generate summaries of long articles or social media threads, extract key points, quotes, and sentiment for quick analysis of data from different media sources.
- Custom taxonomy mapping: aligns content with client-specific coding schemes for precise, customized reporting.
- Real-time coding & alerts: Delivers near-instantaneous coding of media mentions, improving responsiveness and strategic agility.
By embedding LLMs into MediaScouting Core, we are transforming media content analysis workflows – making them faster, smarter, more precise, and more adaptive to different client needs, demanding deadlines, and various delivery formats. This integration brings significant advantages, including increased speed and scalability for processing large volumes of content, consistent tagging and classification across analysts and projects, and improved contextual understanding that enhances the accuracy of insights. It also enables multi-category tagging for more nuanced analysis, offers the flexibility to adapt to custom taxonomies and evolving client requirements, and delivers greater cost efficiency by automating labor-intensive tasks.
And there is more we can talk about, so visit our booth and let’s discuss.
Your Trusted Partner in Tailoring your Media Intelligence Software and AI Pipeline
DataScouting develops media intelligence solutions designed for PR professionals, communicators, and media analysts. We have been an AMEC member since 2014 and we are proud sponsors of all AMEC Global Summits.
Check out all our media intelligence software solutions:
