Overview
Join our webinar to Explore how Natural Language Processing (NLP) and Named Entity Recognition (NER) can be used to transform unstructured data into actionable insights. We’ll share real-world implementation and highlight how Elastic enables broader application across industries.
What You'll Learn
- How NLP/NER can turn messy data into structured intelligence
- A breakdown of a real-world implementation
- How Elastic supports scalability and cross-industry adoption
Real-World Applications
- Explore how NLP and Elasticsearch are used to extract critical information—such as ingredients and hazards—from unstructured data in the food safety sector.
- This session will also highlight how similar approaches are being applied across other industries.

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Bhavesh Sharma is the Co-Founder and CTO of Hyperflex and a 3x Elastic Certified Engineer. With deep expertise in the Elastic Stack and cloud-native architectures, he has led transformational projects for Fortune 500 companies. Passionate about scalable, data-driven solutions, he blends technical depth with strategic leadership to shape the future of observability and security at Hyperflex.

Mihalis Papakonstantinou is a senior Data Engineer and Elastic expert leading data initiatives at Agroknow and FOODAKAI. With 8+ years of experience, he builds large-scale platforms that turn unstructured data into searchable insights. He’s an Elastic Search Award Honoree and has led award-winning NLP and data engineering projects in the agri-food space. Mihalis holds a Master’s in Informatics from the University of Athens.

George Petsangourakis is a Data Engineer at Agroknow, with a background in applied mathematics and a growing specialization in big data and AI. He brings hands-on experience in Python, R, and Matlab, and has worked on real-world optimization problems in both industry and academia. George holds a degree from the National Technical University of Athens and is currently pursuing a master’s in Big Data and AI.

Sohini Brahma is a Business Development Representative at Hyperflex. She focuses on driving growth and customer success. Her position directly contributes to Hyperflex's objective of enabling companies through cutting-edge data innovation. She is eager to leverage her experience for continued learning and growth.
