Technical algorithms on NLP

Welcome to the "Technical Algorithms on NLP" training, an immersive session crafted to equip participants with advanced tools and techniques in Natural Language Processing (NLP).
In today's data-driven landscape, the ability to extract insights from text data is crucial for unlocking hidden patterns, understanding customer sentiments, and driving informed decision-making.

By the end of this training, participants will be able to:

• develop a solid comprehension of fundamental techniques and algorithms used in NLP;
• explore various NLP tools and libraries such as NLTK and spaCy to enhance text analysis capabilities;.
• develop skills to apply NLP algorithms to real-world text data and extract valuable insights for operational intelligence;
• gain insights into tailoring NLP solutions to different types of text data and audiences, ensuring effective communication and decision-making.

Introduction to NLP fundamentals:

• Overview of NLP and its significance in operational intelligence.
• Basics of text processing, sentiment analysis, and information extraction.
• Hands-on exploration of NLP techniques: practical implementation of NLP algorithms using Python and libraries.
• Tools and resources for NLP: overview of NLP software, tools, and cloud-based services available for text analysis.
• Case studies and applications of NLP: analysis of successful NLP applications across industries.

This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Director at PwC Luxembourg.

Thierry is leading the Technology Consulting services. He has over 20 years of experience in IT strategy with a specific focus on the quality and efficiency of IT departments. He has managed numerous innovation and transformation programmes and has also been involved in IT risk and security projects. Thierry is also leading the data and AI services.

Andreas is an expert in biometrics and artificial intelligence.
He has more than 15 years of experience in public and private sector projects from AI strategy and regulation, to R&D projects and proof-of-concept implementations.
Prior to joining PwC, he was group leader at a leading research institution, focusing on biometrics, AI, and IoT. He has been a university lecturer, authored more than 100 scientific publications and holds several patents.