Webinar: Enhance your Data Products with AI

Discover how AI is transforming data products. Learn from real-world case studies and demos how automation boosts accuracy, speed, and scalability across text, video, and image data.

As enterprises strive to stay competitive, data quality, speed, and scalability have become critical. Yet traditional, manual approaches to data enrichment and engineering often drive up costs, create inefficiencies, and limit the value of data products.

AI and ML are changing this landscape. By automating extraction, enrichment, schema mapping, and contextual understanding, organisations can reduce dependencies on manual processes, accelerate delivery, and unlock new revenue opportunities.

In this on-demand webinar, three seasoned experts from Merit Data & Technology share real-world case studies and demos showcasing how AI is being applied across multiple data sources - including text, video, and images - to drive measurable business impact.

In this session, we’ve covered:

  • Case studies across industries showing how AI/ML has reduced costs while improving productivity, speed, and data coverage.
  • Hands-on demonstrations of AI-driven data product enhancements, including video content analysis, semantic search, and schema mapping.
  • How AI improves data workflows by automating extraction, enrichment, and transformation - minimising manual workload while ensuring higher accuracy.
  • Techniques for scalability: deploying AI models that adapt to change, learn continuously, and operate across large data volumes at speed.
  • Future-proofing with AI: practical strategies to embed AI into data engineering pipelines without disrupting existing systems.

Who is this session for?

This webinar is designed for data leaders, architects, and technology professionals who want to:

  • Enhance their data products with scalable AI solutions.
  • Improve quality, reduce costs, and accelerate delivery.
  • Adopt automation and intelligence in their data workflows for long-term growth.

Watch the recording now to explore practical, AI-powered approaches that make data products more accurate, scalable, and valuable.