Your chance to visit the DAM Europe and Semantic Data exhibition and network with fellow attendees - co-located with DAM Europe.

How ROC (Return on Collisions) can be a KPI of desirable intangible human outcomes 

What is Serendipity?

• In the context of this talk, Serendipity is the unintentional discovery of beneficial resources. 
• For example, in cities it’s a consequence random collision of strangers leading to flows of ideas and collaborations.

Totally removing random interactions can suppress innovative insights

How Developing Pharmaceutical Manufacturing Processes is like Writing a Cookbook 
(Building a vendor agnostic, production-ready ontology) 

The requirement: 

The recipes used in pharmaceutical manufacturing (CMC) need to be developed and documented in a way that allows an identical product to be manufactured in different locations and potentially at different scales without sacrificing quality.  

Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain 

The Problem: 

Large language models (LLMs) have revolutionised question answering, including within the scientific domain. However, scientific question-answering remains significantly challenging for the current generation of LLMs due to their reliance on highly specialised concepts.   

A promising solution:  

Time to have some lunch and visit the exhibition. See you back at 14:20 for the start of the afternoon sessions!

Ofcom, the independent communications regulator in the UK, is tasked with implementing the Online Safety Act, which was passed by Parliament in October 2023. This groundbreaking legislation represents a significant shift in how online platforms are regulated, placing greater responsibility on online services, including social media platforms, search engines, pornography sites, messaging apps, gambling and gaming platforms, to proactively ensure a safe and secure online environment for all users, particularly children. 

Like many organisations AstraZeneca R&D faces the challenge of siloed data. We see adopting Findable, Accessible, Interoperable, Re-usable (FAIR) Data principles as a route to releasing value from our existing data as well as setting us up to be able to do so much more with new data we generate from here on. Semantic knowledge graphs are a proven approach to achieving this and we started by building Scientific Intelligence, a knowledge graph to support exploration and analysis of clinical data.  

The objective: to build a robust knowledge graph that supports a large-scale customer facing question-answering system.  

Context: Empirical experience from the presenter’s work supporting question-answering functionality in virtual assistants (notably Amazon Alexa) and, more recent, work at Compare the Market.  

Covering: The talk will cover common pitfalls and proven solutions, including insights into what works - and what doesn’t - when deploying and scaling knowledge graphs in real-world environments. 

Your chance to visit the DAM Europe and Semantic Data exhibition and network with fellow attendees - co-located with DAM Europe.