To Data Mesh or Not to Data Mesh
Virtual Event
Wednesday, June 12, 2024
4:00 PM (BST)
11:00 AM (EST)
10:00 AM (CST)
8:00 AM (PST)
AI-powered Research Assistants: How Bayer and Pfizer accelerate Drug Discovery in Preclinical R&D
"Has this observation been documented in previous Phase 1 studies?"
"Are there existing clinical studies that explain my current observation?"
"Can I generate an FDA/Regulatory-compliant study report?"
"What were the critical decisions made for this molecule?"
"Can I get R code for immediate data visualization and analysis?"
If you work in the R&D department, regardless of your industry, whether it's pharmaceuticals, healthcare, life sciences, or med tech, you very likely encounter such questions on a weekly if not daily basis.
Answering these requires not only finding the right data but also understanding the knowledge and context within the data—structured and unstructured—often spread across multiple sources. Often, this expertise is confined to the most experienced users, making it difficult to share or scale. The inability to reuse existing knowledge can be a costly affair; for instance, animal studies can range from approximately 275,000 Euros for smaller animals to upwards of 1.1 million Euros for larger ones.
Advancements in knowledge graphs, data and AI technology have now made it possible to find and interpret knowledge more effectively, while also assisting R&D researchers in activities such as planning, monitoring, analytics, content creation, and reporting.
Join our webinar featuring the Head of Pharmacology & Safety IT at Bayer AG, and the Director of Data Science & Machine Learning at Pfizer, alongside experts at Thoughtworks, as they delve into the AI-powered R&D Research Assistant — a specialized methodology leveraging data and AI for knowledge management. Discover how the Research Assistant operates within their organizations, the problems it addresses, the challenges encountered, the opportunities it created, and the valuable insights gained through user adoption.
Your Speakers
Samia Rahman
Data & AI Leader and Data Mesh Practitioner
Kiran Prakash
Principal Engineer, Thoughtworks
Kalyan Kumar
AWS Solutions Architect, AWS
What to expect
Why Data Mesh?
Data Mesh is a transformative agile product-centric approach that decentralizes data ownership and governance, enabling each business unit to act as a custodian of its data. This shift from a centralized model to a distributed, yet interconnected system, empowers teams to respond with unprecedented speed and efficiency to critical data needs.
Learn from our panel of expert practitioners how large organizations feeling the pain of centralized data silos benefit from the autonomous teams and agile product centric approach of Data Mesh.
When teams deliver data as a product, the product deliverable comes with all the benefits of a product including ownership, clear deliverables, release schedules, governance. Team have accountability for building, operationalizing, supporting and troubleshooting their data products.
Experience the Agile Revolution in Data Management:
Enhanced Data Governance: With DataMesh, governance is embedded into the day-to-day operations of each team, ensuring data quality and compliance are maintained without sacrificing speed.
Superior Data Quality: Break down the silos that compromise data quality. DataMesh fosters a collaborative environment where data is not only more accessible but also maintained at the highest standard by those who use it most.
Increased Responsiveness: Implement a product-centric approach where cross-functional teams own their data products, leading to faster iterations and more responsive data solutions tailored to specific business needs.
Join us to discover how DataMesh can be the catalyst for your organization to achieve a nimble, responsive framework that turns data into a strategic asset.
Our expert speakers will dive deep into real-world applications of DataMesh, showcasing how it has revolutionized data handling for leading global companies.
