Blog Archives

22 Apr 2024

Data Curation for Open Source LLM Fine-Tuning

Everyone wants to fine-tune open source LLMs, but a lack of high quality data makes this hard. Even the data that companies do have is difficult to understand, making it challenging to iterate towards a high quality dataset that will provide good results from fine-tuning. Clemens will share his experience curating datasets to fine-tune models […]

22 Apr 2024

Accelerating Machine Learning Serving with Distributed Caches

In the rapidly evolving landscape of machine learning (ML) serving, optimising performance is paramount. This presentation delves into the innovative strategy of leveraging distributed caches to accelerate ML serving. By strategically caching frequently accessed model predictions and intermediate computations, organisations can significantly reduce latency and improve throughput in ML inference pipelines. Through practical insights, attendees […]

19 Apr 2024

Networks and Recommendation Systems

We will look into the details of the implementation of recommendation systems using graphs. We will also investigate how this implementation can make the result more transparent and help clarify many other aspects of the data. The flow of the session will follow the progression and lessons learned during the real development of the project. […]

17 Apr 2024

Explaining explainability: an interdisciplinary approach to communicate machine learning outcomes

Explainable AI (XAI) is one of the hottest topics of interest among AI researchers and practitioners. These explanations however often focus solely around providing technical interpretations on how a given machine learning model generates a certain outcome. To take a step beyond these technical explanations, we, Allianz Personal data science team together with our collaborators […]

16 Apr 2024

7 tips to ensure your data project succeeds

Approximately 85% of Big Data projects fail to deliver the highly promised business outcomes? In this session we will explore the 7 common reasons behind this statistic. Why are buyers often left underwhelmed when that very expensive data project finally lands? Why is there no visible cost saving or improvement when those much-anticipated business insights […]

16 Apr 2024

Can we trust AI?

In this session we will delve into understanding why it is so important to train virtual assistants and ensure that the data we are training them on is reliable. Virtual Assistants are an AI powered solution that can answer specific questions, make recommendations or even carry out tasks. Virtual assistants can and do go wrong […]

16 Apr 2024

Using Generative AI to better understand B2B audiences: from Topic Modelling to Text Classification

The IIRIS team support Informa marketing teams to promote 1.5k trade shows by collecting, enriching, and mining c2.5b customer interactions. In our journey to better understand our audience we have encountered several challenges that we tried to solve by using a fusion of traditional ML and state of the art Generative AI and Large Language […]

16 Apr 2024

Panel – Future of work: AI’s role in the next-gen workplace

The workplace as we know it is evolving, and we’re looking towards a future where AI will increasingly be working alongside people, opening up new opportunities for all generations. So, how can data scientists help shape the future of work, using AI to empower people to flourish in the age-diverse workforce? During this live panel […]

15 Apr 2024

Fighting Skin Disease with AI

At Dermie.AI, we’re dedicated to harnessing the synergy of skincare and technology for a healthier world. We’re developing a platform that empowers you to make informed decisions about your skin health, powered by Computer Vision. We’ll be talking about the challenges surrounding Skin Disease and how we have leveraged AI to monitor skin health at […]