Start planning your agenda! Identify the workshops you´d like to attend
Discover the latest tools and methodologies available on the market
Our Premium and Gold sponsors will hold a workshop and be available at their booth.
All our partners will be available anytime along the event and reachable via the #PLA2020 event App.
Make sure to reach them out, meet with them and discover their latest proposals for your Paperless Projects.
Hint! Want to benefit of 15 demos in 2 days?
Come along with 2 more colleagues and distribute yourselves along the 15 workshops : 3 workshops per session, 5 sessions in 2 days.
An end to end LIMS workflow will be shown, with individual LIMS modules that are optimized for swift data entry and to follow the ALCOA+ principles for strict compliance with regulatory guidelines.
During this workshop we’ll show how Binocs as the digital twin for the laboratory resource management, covering scheduling, planning and performance management.
Most of the labs in QC are electronic already. LIMS and LES are ubiquitous but remain disconnected, with data in silos. These silos require manual data transfer to and from other systems which leads to inefficiencies and errors. This is unacceptable in the QC lab. In this workshop we will demonstrate how an integrated QC lab informatics solution operates and how it improves lab operations and compliance.
During the previous PLA events, we presented key pillars of our Inquiro software
This year we'll show you with real user case, how Inquiro awakes the force of customers’ data.
Benefits: Find data quicker and reveal new data correlation!
Who’s not familiar with being lost in samples and processes?
Clear labeling is recommended to make sample identification as easy as possible. Though all labs strive for this standard, you often find vessels in your freezer with illegible labels or without any labeling at all. One of the main reasons is that reliably cataloging samples is usually a painstaking and time-consuming task.
In many of today’s labs, workflows are handled through manual processes, which means there are more opportunities for human error, inconsistent record-keeping, and lost or incomplete data. As digitalization enters the lab and results become more data-driven, these gaps in traceability become more critical. This session will present Gilson’s solution to these issues: our connected sample preparation platform.
There is a saying in pharma industry “if it hasn’t been documented, then it hasn’t happened…"
Documentation is an integral part of Good manufacturing practices (GMP) and a good documentation is a systematic process of creation, verifying, reviewing, issuing, storing & organizing documents.
Learn how to put in compliance instrumentation with Data Integrity requirements
Innovative Digitalization Platform for stand-alone Instrumentation
Learn how to review data in electronic format: Improve laboratory/production efficiency
Use the predictive and prescriptive analytics capabilities of LabVantage Analytics to improve future planning of resources, remove bottlenecks or gain more overall efficiency all using your lab data currently unused in your LIMS.
More and more devices are including connectivity technology, allowing them to be part of a persistent network. This includes laboratory instruments such as balances. These instruments can become a seamless part of a laboratory’s Internet of Things (IoT) environment, allowing quick interfacing and simple usage. During this session, we will discuss the practical ways of creating an Internet of Lab Things (IoLT) environment, and the technical and regulatory challenges to be expected. Actual devices such as wirelessly-connected instruments, printers and mobile phones will be used to illustrate how IoLT can work in the real world
This workshop provides a unique opportunity to experience these standards live and see how they work. We start with a quick introduction and then move to a live session, where we use off-the-shelf tools can be used to work with instrument data in a vendor-neutral fashion.
Research Scientists daily face the challenge that the science they are doing is complex and often generates a high volume and variety of data. They need to collaborate both internally and internally and the data they need to make decisions can be scattered over numerous diverse data sources.