Today at 3 PM GMT (11 AM EST)
Panel Discusses Solutions for Laboratory Data Integration Challenges
Many laboratories face significant challenges related to data connectivity, with fragmented instruments, systems, and spreadsheets impeding progress. Scientists often enter data manually, leading to lost context between experiments and duplicative work due to siloed information across departments and partner organizations. Additionally, this fragmented data is difficult to secure, complicating the protection of personal data and intellectual property stored in the cloud.
Experts suggest that creating an integrated lab environment can significantly alleviate these issues. However, many organizations struggle to connect existing infrastructures and workflows effectively.
In an upcoming panel discussion, Colin Fyffe, Ángel Gil Nolskog, Tom Whitehead, and Tariq Khoyratty will explore strategies for integrating current systems in laboratories. They will provide insights on reducing manual tasks and expediting decision-making processes. The panel will also showcase practical applications of connected science, including hands-free experiment documentation, AI-guided formulation, and executable Standard Operating Procedures (SOPs). The session will conclude with a Q&A, allowing audience members to engage directly with the panelists.
Target Audience
This event is particularly relevant for:
- IT and infrastructure leaders managing hybrid AI-high-performance computing environments.
- Data scientists focused on model accuracy, reproducibility, and governance.
- Hands-on scientists who aim to eliminate data bottlenecks in their research.
- Researchers and academics assessing their data and computing strategies.
Learning Outcomes
Attendees can expect to gain valuable knowledge, including:
- Guidance for IT leaders on procuring and implementing Software as a Service (SaaS).
- Tips for optimising task management with the help of AI and machine learning.
- Insights for data stewards responsible for governance and model management.
Panel Overview
The discussion will be moderated by Robert Roe, Editor of Scientific Computing World, who has over 15 years of experience in scientific computing.
Panelists include:
- Colin Fyffe, Product Manager at Revvity Signals, who joined in May 2023 to enhance developer relationships.
- Ángel Gil Nolskog, Senior Key Account Manager at LabVoice, specialising in AI-guided data capture.
- Tom Whitehead, Head of Machine Learning at Intellegens, who works on applying machine learning to industry challenges.
- Tariq Khoyratty, Solutions Architect at Scitara, focused on connecting laboratory instruments with enterprise systems.
For those interested in attending, registration can be completed here for their spot at the event.
