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Generative AI (GenAI) has dominated the AI landscape over the past few years, stealing much of the spotlight. However, there are still many scenarios where classic machine learning (ML) remains the most effective tool. Join us to learn when to use which tool and how to integrate GenAI into your ML projects to make them more efficient, accurate, and impactful. Discover how this approach can enhance your business cases and reduce time-to-market.

The emergence of GenAI and large language models (LLMs) has revolutionized many areas of AI, creating the impression that they can solve almost any challenge. Yet, there remain significant situations where GenAI can produce "interesting" or suboptimal results cases where ML remains the preferred solution.

Traditional ML projects often require significant effort in data preparation, feature engineering, and applying domain knowledge. But with the right application of GenAI, many of these tasks can be streamlined, making your projects more efficient and accelerating development timelines.

In this session, Microsoft will demonstrate how ML can be leveraged across their platforms, including Fabric, where data becomes accessible through natural language interactions.


Target audience

Technical Leaders, CIOs, Architects, Business Development leaders and Innovation Officers.

Practical information

Date: Wednesday, 5 february 2025

Time: 09.00 - 12.30 (Registration from 08.30-09.00)

Location: KPMG, Dampfærgevej 28, 2100 København Ø

Parking: If arriving by car, please use the parking basement at Amerika Plads. Otherwise, Nordhavn Station is only a short walk from the office. KPMG does not cover parking expenses

The event will be held in English and is free to attend.

Please note that photos may be taken during the event for promotional purposes on social media. If you do not wish to participate in photos, please approach the photographer on the day.

Agenda

  • 08.30 – 09.00: Arrival and registration
  • 09.00 - 09.30: Introduction: When to use what and how GenAI can improve a typical ML project by KPMG
  • 09.30 - 10.00: All the places you can do machine learning on Microsoft from Azure ML to Fabric by Microsoft
  • 10.00 - 10.30: Customer ML use-case: Demand forecasting in the shipping industry by KPMG

    Hear about an ML project where GenAI supported and enabled a demand forecasting use case. Learn how GenAI analyzed market sentiments and assisted in model development and coding
  • 10.30 - 10.45: Break
  • 10.45 - 11.15: Customer ML use-case: Churn prediction in the pension industry by KPMG

    Churn is a classic ML task, but this session will show how GenAI is used to add more features to the model by extracting and understanding topics and sentiments from customer dialogues and interactions
  • 11.15 - 11.45: How to validate and improve your ML cases in your business to build the required business case by KPMG
  • 11.45: Networking and lunch

       

            

Speakers

Martin

Henri Schulte

AI Partner Solution Architect
Microsoft

Jesper

Lars Bonde

ML Expert
KPMG

Jesper

Siril Yella

PhDComputer Science
KPMG  

            

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