Presentations Start

8:00 – 9:00 am

Mike Atkin

The Rationale for Data Centric: Making the Case

Mike will summarize the results of his research to demystify knowledge graph and help senior stakeholders understand and prioritize the root cause of the ‘data dilemma.’ This focus on information literacy at the executive level includes the true costs of implementation, the obstacles (both bureaucratic and operational) that prevent broad adoption and the use case categories that offer sustainable value.

9:00 – 9:45 am

Philippe Hoij, DFRNT

Data-centric Compliance: Using Knowledge Graph Recursion

This session unpacks experiences working with cybersecurity compliance, quantitative risk, and contract management initiatives with agriculture and food packaging enterprise clients in the range of $5 billion to $15 billion revenue. There were similarities between validating financial transactions and measuring compliance to NIST CSF and Zero Trust requirements with canonical security controls.

We will talk about using recursive knowledge graph queries for compliance, and ideas on how a decentralized data-centric architecture can enable improved quality. The findings will provide a conceptual framework for connecting facts to compliance against regulatory frameworks, policies and procedures, standards, and bring improved efficiencies.

9:45 – 10:30 am

Sergey Fogelson, TelevisaUnivision

Business Case for a Harmonized Data Architecture to secure a new revenue stream

As the largest Spanish-language media company in the US, TelevisaUnivision needed to evolve with the shifting media consumption preferences of its core consumers from traditional linear television to digital platforms or risk becoming irrelevant. As a result, TVU made a significant investment in its data infrastructure in 2021. In this talk, I will describe the steps we took and the lessons we learned in the process of modernizing our data architecture over the past 3 years, and the use-cases that were enabled across our marketing, sales, and product organizations because of this company-defining pivot.

10:30 – 10:45 am

Break

10:45 – 11:30 am

Ravi Bajracharya, Datum.md

Leveraging knowledge graphs to speed clinical decision support, health data interoperability and artificial intelligence

Healthcare faces challenges in reusability of its knowledge sources owing mainly to lack of interoperability. Embracing FAIR (Findable, Accessible, Interoperable and Reusable) principles can improve reusability of a knowledge source but linking it to disparate but related sources of knowledge can enhance its reusability to even broader applications. Linking patient data or study data to biomedical knowledge sources containing RWE (Real World Evidence) generates even more value. In this talk, we will explore the construction of biomedical knowledge graphs and the role they play in building a data centric platform that supports a broad range of applications in healthcare.

11:30 am – 12:15 pm

Nayan Paul, Accenture

How Data and AI Strategy needs to evolve to implement GenAI applications (with Demo)

In this session, I will walk through the practical challenges of LLM implementation from Enterprise point of view. I will talk about the data and AI platform readiness, key technology needed to enable GenAI solutions across the organization. I will then focus on what Data Readiness means and where does it fit in the bigger picture.  Lastly, a demo will help pull it all together.

12:15 – 1:15 pm

Panel Discussion: Jans Aasman, Dean Allemang, Brian Platz

The Interplay Between KGs and LLMs

1:15 – 3:00 pm

Open networking and exchange of ideas at Airmeet social discussion lounges

Presentations Start

8:00 – 9:00 am

Martin Romacker, Roche Pharmaceuticals

Extending FAIR principles beyond R&D with data centricity

9:00 – 9:45 am

Katariina Kari, Inter IKEA Systems BV

Data-Centric Product Recommendations at Inter IKEA

Inter IKEA Systems B.V. is currently developing knowledge-graph-driven product recommendations. They are created by domain experts using visual editing of triples. In this talk, Katariina shows how a data-centric approach to recommendations via explicit business rules is an opportunity not to serve only one application but to create a foundation for unexpected and new use cases reusing the same data.

9:45 – 10:30 am

Stratos Kontopoulos, Food Pairing

How the Foodpairing Knowledge Graph is Revolutionizing Food Product Development

Embark on a culinary journey with Foodpairing AI as we unveil the transformative impact of our Knowledge Graph (KG) on flavor innovation towards developing new food products. The Foodpairing KG, a dynamic knowledge base of over 17K ingredients, 10M recipes, tens of thousands of food products and billions of social media insights, not only empowers us to intelligently navigate novel ingredient combinations and adapt our AI approaches to various domains, but also delivers significant economic value. Discover how our KG contributes to enhancing data interoperability and re-use, unlocking valuable business insights and drastically reducing the time required for new product development, ultimately propelling Foodpairing AI to new heights in culinary exploration, innovation, and strategic growth.

10:30 – 10:45 am

Break

10:45 – 11:30 am

Alessandro Oltramari, Bosch

Assisting the Technical Workforce with Neuro-symbolic AI (actionable semantics in the automotive industry)

Intelligent systems are frequently used in industry to assist technical experts in highly specialized tasks, helping them reduce errors, time effort, elevate quality of results and, ultimately, helping companies save costs. In this context, my contribution illustrates a decision support solution for emission calibration of ECUs (Electronic Control Units), based on the combination between machine learning, heuristic rules, semantic technologies. The overall system presented in this session provides a coherent and actionable semantic representation of data at scale through a knowledge graph-based integration pipeline.

11:30 am – 12:15 pm

Tavi Truman, RocketUrBiz

Revolutionizing Real Estate with semantic integration and AI driven workflows

Deeper dive into the empowering characteristics an ontology-driven workflow engine brings, harnessing NLP and ML for sophisticated workflow processing and reasoning. This fusion of technologies enables nuanced understanding and dynamic response within our intelligent workflows, setting a benchmark for AI-driven operational efficiency and propelling the industry forward.

12:15 – 12:55 pm

Ben Gardner, AstraZeneca

R&D Data Office approach to FAIR Data-centric Information Architecture

Enabling FAIR Data (Findable, Accessible, Interoperable, Re-usable) is critical for AstraZeneca to unlock value from our existing data and to ease the handling of future data. We address ‘Findability’ through effective indexing and cataloguing, ‘Accessibility’ via a blend of automated and manual processes and enhance ‘Re-usability’ by integrating processes into approved analytical environments. Yet, the most significant challenge is ‘Interoperability’, which requires us to determine if datasets of the same type can be merged and how to link different types to answer complex questions. This talk will show how AstraZeneca’s R&D tackles these challenges to optimise data re-use.

12:55 – 1:15 pm

Dave McComb, Semantic Arts

Closing Statements

1:15 – 3:00 pm

Open networking and exchange of ideas at Airmeet social discussion lounges