Summary
In this episode of Driving the Business of Science, Keith Parent, CEO of Court Square Group, discusses with Mario Perkins, President of Triam Ltd, the intersection of IT infrastructure and data management in the life sciences. Triam specializes in data management and analytics, particularly in healthcare and life sciences, and has recently partnered with Court Square. They discuss the shift from legacy systems like SAS to open-source tools like Python and R, disruptive technologies like Altair SLC and RapidMiner that can bridge and enhance this shift, the importance of data quality, and the benefits of AI and machine learning in drug development and clinical trials. They also touch on the transition from on-premise to cloud-based solutions and the role of hybrid approaches in managing large data sets.
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Introduction to the Podcast and Guest
- Keith Parent introduces the podcast, “Driving the Business of Science,” and explains its purpose of discussing various aspects of life science beyond drug development.
- Keith Parent introduces himself as the CEO of Court Square Group, a managed service firm specializing in IT infrastructure for life science companies.
- Keith Parent introduces Mario Perkins, President and Co-Founder of Triam Limited, a data management company Court Square Group has started working with.
- Mario Perkins introduces Triam, highlighting their team of business consultants and their focus on healthcare and life sciences.
Triam’s Data Management and Analytics Services
- Mario Perkins explains Triam’s work in data management and analytics, emphasizing their role in cleaning and making data usable for clients.
- Mario Perkins discusses Triam’s experience with large health insurance companies and their recent focus on life science and pharmaceutical organizations.
- Keith Parent inquires about Triam’s classification, and Mario clarifies that Triam is both a data management and analytics company.
- Mario Perkins elaborates on the importance of having clean data for effective analytics and the challenges of working with large volumes of data.
Transition to Life Science Data
- Mario Perkins discusses Triam’s transition from working with health insurance data to life science data, highlighting the natural progression.
- Mario Perkins mentions Triam’s long-standing experience with the SAS language and their recent adoption of open-source options like Python and R.
- Keith Parent and Mario Perkins discuss the explosion of data in the life science sector and how Triam has adapted to stay ahead.
- Mario Perkins talks about Triam’s partnership with Altair and their SLC product, which allows for the use of both SAS and open-source options.
Impact of Open-Source Tools on Data Management
- Keith Parent and Mario Perkins discuss the shift from legacy applications like SAS to open-source tools like Python and R.
- Mario Perkins explains the challenges of transitioning from legacy systems to open-source options and the importance of bridging gaps between different technologies.
- Mario Perkins highlights the FDA’s openness to open-source options and the evolving landscape of data preparation, processing, and analysis.
- Keith Parent and Mario Perkins discuss the cost implications of maintaining legacy systems and the benefits of open-source tools for academia and younger professionals.
AI and Machine Learning in Data Management
- Mario Perkins discusses the benefits of AI in the life science sector, including rapid analysis and identification of outliers in clinical trials.
- Mario Perkins explains how AI can improve case management for patients with multiple conditions by combining various factors.
- Mario Perkins mentions the evolution of data quality through AI and the role of fuzzy logic in standardizing data.
- Keith Parent and Mario Perkins discuss the importance of data quality in drug approval and clinical trial results.
Challenges in Data Quality and Entry
- Mario Perkins explains the challenges of data entry and the inconsistencies that arise from non-standardized data entry methods.
- Mario Perkins discusses the role of fuzzy logic in cleaning up data and creating more consistent information.
- Keith Parent and Mario Perkins discuss the issues of data entry systems and the problems created by non-electronic methods like printing and scanning documents.
- Mario Perkins highlights the benefits of new technology in capturing information from previously unavailable sources and improving data quality.
Cloud vs. On-Premise Applications
- Mario Perkins discusses the shift from on-premise database options to cloud-based solutions like Snowflake and Databricks.
- Mario Perkins explains the cost and management benefits of cloud environments for large data sets.
- Mario Perkins mentions the hybrid approach of using both cloud and on-premise solutions to meet clients’ needs.
- Keith Parent and Mario Perkins discuss the marketing aspects of working with data management companies and the importance of having enough CPU power for large data sets.
Working with CROs and Sponsors
- Mario Perkins discusses Triam’s involvement with CROs and their role in facilitating SAS expertise and knowledge transfer.
- Mario Perkins explains the importance of bridging technology gaps and providing a comprehensive solution for clients.
- Mario Perkins highlights the benefits of Altair’s SLC product in allowing for seamless integration of SAS and open-source options.
- Keith Parent and Mario Perkins discuss the importance of working with companies like Triam to provide secure and compliant solutions in the life science field.