Sessions 2024
Check out the first sessions below
How To Open Ears, Minds, Doors And Budgets For Data Products With Data Storytelling – Learnings from a Pharma Company
Summary:
Of all the data projects that fail, 80% fail due to poor communication. When decision makers don’t understand a data product, they don’t need more information: they need less of it. In this talk, Jack and Julia will show how data storytelling is helping to promote data products and get buy-in at a pharma company. Tune in to learn the process of shaping the narrative and finding a data product marketing strategy. Get expert tips on how you can use data storytelling for your own data / AI product.
Speakers:
Dr. Boris Adryan, Merck KGaA Speakers:
Merck’s ‘Citizen Data Scientist’ Curriculum
Summary:
Data strategy and data projects have a strong human element: However, how do you work with people if they lack conceptual knowledge or suffer from inflated expectations? Education is the answer! Merck’s flagship is the Fast-Track Upskilling for Data & Digital program, a nine week format that takes ordinary employees and turns them into Citizen Data Scientists. Boris is going to present the curriculum of this modular program and how it has helped to reach >3000 Merckians over the past two years.
Speakers:
Christoph Hoffmann, PROCON IT Speakers:
AI Without Becoming the Villain: An Organisational Guide
Summary:
Companies implementing AI are caught between prospects of success and societal concerns. Regulations attempt to mitigate the insecurities that arise through the widespread adoption of AI. This session helps corporations struggling to operationalise these standards by providing a step-by-step guide to embed trustworthy AI in their organisations. With a brief foray into strategy, processes & organisational design this talk will show ways to improve the ethical footprint of your company.
Speakers:
Paridhi Singh, Ridecell Speakers:
Visual Intelligence at Ridecell: Harnessing Dashcam Data for Smarter Fleet Telematics
Summary:
In fleet telematics, extracting scenarios from dashcam data is key for improving safety and efficiency. Paridhi’s talk focuses on developing a Perception-scenario extraction pipeline using a single-camera system for object detection and depth estimation. She’ll cover challenges like occlusion and scale regression, and share solutions for accurate modeling. Paridhi also highlights the versatility of Ridecell’s techniques across domains, enhancing applications in surveillance, autonomous vehicles, and robotics.
Speakers:
Farah Ayadi, Feedly Speakers:
Developing an LLM-Powered Conversational Agent for External Users at Feedly: Challenges and Insights
Summary:
In this session, Farah shares experience developing a context-aware conversational agent using Large Language Models (LLMs) at Feedly AI search platform. The agent offers intelligent services like summarization, analysis, and report generation, tailored to the user’s context and content. She will discuss the unique challenges and strategies involved in catering to external users with stringent requirements, where accuracy, consistency, and the ability to synthesize large amounts of data are crucial, unlike most current initiatives focusing on internal enterprise use cases with higher tolerance for inconsistency and simpler information retrieval.
Speakers:
Muhammad Saad Uddin, Endress+Hauser Speakers:
Optimizing LLM for Endress+Hauser: An Innovative Approach to Chatbot Design with Azure Semantic & Vector Search
Summary:
In this session, Muhammad will show an in-depth exploration of chatbot innovation applied in a real-world setting at Endress+Hauser. This session will focus on our practical implementation of Large Language Models, combined with the capabilities of Azure’s Semantic & Vector Search and strategically advance Retrieval-Augmented Generation (RAG) approach, to build a chatbot that is not only highly responsive but also remarkably intuitive. Muhammad will provide a comprehensive overview of our approach, detailing the process of integrating technology stacks and navigating the complexities of chatbot design, demonstrating the tangible benefits of these technologies in a real-world, industrial setting.
Speakers:
Somnath Biswas, TotalJobs Speakers:
Productionizing GenAI- / LLM-powered Job Search Companion at Stepstone: Our Approach & Learnings
Summary:
The talk will present TotalJob’s learnings and approach taken towards productionizing GenAI / LLMs for building an empathetic, accurate and compliant job search companion (available over WhatsApp). It will cover the product decisions in going from human to LLM chat and techniques used to reduce LLM costs by 70%, with hallucinations, bias and toxicity at near zero %. Finally, the talk will give an outlook on the future path around a multi-modal and the multi-lingual future of conversational journeys.
Speakers:
Navigating the Ocean of Correlations to the Islands of Causality: Time Series Analysis at its Best
Summary:
In the age of increasingly complex foundation models, the question arises as to what extent the underlying correlation structures also represent causal effects. In the field of time series analysis, the concept of causality is a central component and there are established techniques for identifying non-causal spurious correlations. The Deep Dive illustrates these concepts and techniques and shows how they can be successfully combined with state-of-the-art ML algorithms. No formulas required!