More than ever before enterprises have access to endless amounts of Data within various silos and systems, and to streamline this data collection is only one aspect to success, but making sense of it all and simplifying the use case creation is where maximum value is achieved. In this session with Gilead, in partnership with Thoughtworks, we will walk through the benefits of establishing Data as a Product & Data Mesh Principles as the foundation of their design approach, which enabled them to build a scalable enterprise-wide data platform “Gilead DnA”,  where data engineers and researchers can benefit from a secure self-service environment for their data processing needs. We will walk through the logical progression, from current state legacy processes, data quality challenges, and a lack of confidence in a cohesive strategy for data sharing and governance across the enterprise that continued to impede value realization, to their future state success of objectives and value we have achieved. 

This presentation will explain how Lakehouse in a Box is a service that simplifies the user experience for data producers and consumers by abstracting engineering complexities and eliminating redundant manual activities. It provides ready-to-use producer/consumer platforms and includes best practices and accelerators from both AWS and BMS, leveraging services such as Infrastructure as Code (IaC), Service Catalog, and Self-Service Infrastructure Portal. IaC is a key component of LHIAB, allowing for the management and provisioning of data lake infrastructure using code. This approach ensures consistency, repeatability, and scalability of the infrastructure, and involves defining the infrastructure requirements in code that can be version-controlled, tested, and deployed using automation tools. CloudFormation is typically used to define the infrastructure requirements in code, enabling the infrastructure to be defined as a set of declarative statements that can be version-controlled and tested like any other code. With IaC, data lake infrastructure requirements can be defined in a single codebase, which can be used to provision and manage the infrastructure across multiple environments. This helps to ensure consistency and reduces the risk of configuration drift. Automation tools can be used to automate the provisioning and management of the data lake infrastructure, reducing manual errors, and improving efficiency. For example, new resources can be provisioned automatically, existing resources can be updated, and routine maintenance tasks can be performed. 

CMC process development is facing multiple challenges from the increasing number of projects to higher agility, cost reductions, data integrity & accelerated development timelines. Data generated during drug development is only partially leveraged to further improve our processes or use it for predictive modeling. Building on a multi-year CMC digital transformation program, we embarked on digitizing end-to-end workflows across multiple platforms & lab families. We focused on three key areas: Operating Model, Value Delivery, and Scaling. We will share progress and challenges in each of these areas.

The success of any laboratory hinges on the seamless integration and efficient operation of its instruments and automation workflows. We will present an innovative, real-time monitoring system for lab instruments that is vendor agnostic of specific devices.  Accessible from any web browser and displayed on TV dashboards throughout the lab, this system facilitates improvements in lab productivity and throughput. It provides a 'single pane of glass' view of lab instrument operations, enhancing visibility and control. The solution is based on a single enterprise platform, which provides easy scalability, IT manageability, and facilitates quick implementation—we call this “Lab Health TV."

In an era marked by technological advancements, this session explores the evolution of healthcare from centralized laboratories to decentralized home-based diagnostics. Join AI strategy consultant Talia Grace and Vital Biosciences CEO and co-founder Vasu Nadella as they seek to unravel the implications of this paradigm shift, from the empowerment of patients to the reimagining of care delivery.

Decisions affecting lab PCs are often touted being made using a “risk-based” approach. This involves gathering point-in-time data as well as various stakeholders to discuss and agree on the analyzed results. We will present our proof-of-concept that captures risk events, and calculates risk-scoring using real-time monitoring and defined weights based on the Six Sigma Failure Mode Effects Analysis methodology (FMEA) framework. This will allow teams to identify when technology is “increasing in risk” against baselines as well as where the overall risk events are occurring. Ultimately, it will reduce notably the overhead and many hours compiling data and organizing people.

Scientists performing in vivo work within vivaria have historically been left on their own for many years. Oftentimes, outdated technologies such as pen and paper, mundane data entry, and even memorization have been used to document information throughout the experimental process. We will present the journey we took to enable scientists using 2D barcoded ear tags, thermal scanners, voice-enabled scientific LabFlows, as well as HoloLens.