Want to learn more about how innovations in data and analytics are supporting knowledge managment in
Life Sciences?
 
OSIsoft's 2019 Life Sciences Workshop
is coming to the greater Boston area!

Join OSIsoft and the following featured presenters for biotechnology data infrastructure insight and strategic approach, supported by the PI System.
  • MIT Chemical Engineering 
  • Amgen
  • Biogen

You'll have an opportunity to observe some demos, ask questions, & network, gaining best practices for digital transformation within critical Life Science operations. 

 
The event is free to attend & includes lunch, all in a fantastic setting at MIT's Samberg Center.
 
As a special addition, for those first to register, we have the unique opportinity to participate in a post event tour of the MIT Chemical‐Biological Engineering Laboratory, hosted by Research Engineer and Lab Director, Dr. Jean-Francois Hamel. Be sure to sign up when you register, as space is limited.
 

Agenda

Wednesday, December 4, 2019
9:00 AM - 9:30 AM
Registration
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Samberg Center DR 3 & 4
9:30 AM - 9:40 AM
Welcome & Opening Remarks
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Samberg Center DR 3 & 4
9:40 AM - 10:00 AM
How and Why the Biotechnology Industry is Becoming More Data Driven

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This talk will describe how leading pharmaceutical companies have become data driven in their decision-making and why this trend is the key to enabling analytics, reporting and meeting regulatory compliance, in combination with the goal to deliver products that are safe and effective to their market as fast as possible.  This talk will focus on the benefits of an enterprise wide data infrastructure and knowledge management systems.  New technologies provides new opportunities to improve product quality, to boost compliance and to improve the economy gains in for example improved overall equipment effectiveness, better asset and maintenance management, and energy management.  Petter will give real world case studies of how such enhanced analytics are becoming increasingly valuable to improve throughput, lower costs, shorten time to market and improve compliance.

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Samberg Center DR 3 & 4
10:00 AM - 10:20 AM
Aligning Higher Education with the Emerging Biotechnology Industry: Preparing our Students for Industry 4.0

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Students need to be prepared for their careers in the emerging Biotechnology industry which is becoming increasingly digitized, automated, robotic and data rich.  This talk will describe the Industry 4.0 world that students will need to navigate.  It will also address other important trends seen in industry and technology changes such as single-use unit operations, parallel microreactors, continuous bioprocessing, advanced sensors and analytics, real-time process monitoring and control, which are all changing the biotechnology field rapidly.  Joining these all together, we are now offering student labs courses with new technologies and real-time analytics able to sense, collect, analyze, visualize and share large amounts of time-series data from multiple sources to show the students what is happening throughout a series of experiments.  Students can now take their process data and make them more immediately useful. Furthermore, the use of open data infrastructure lets our students see the results of their own experiments and those of the other teams in the room as they happen in real time.   With the results of experiments happening in the room, students can adjust their experiments in real time – both in the lab and from home, depending on the adjustments that are needed.  We will talk about how this data-driven approach is generating cultural changes in how students learn individually and as a multi-disciplinary team.  Examples of academic programs designed for students interested in manufacturing or process development will be presented.

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Samberg Center DR 3 & 4
10:20 AM - 10:50 AM
The PI System: Transforming Data Into Information

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In this session, learn how PI System technologies can be used to gather, structure, process and deliver data to meet the needs of different audiences throughout your organization, ensuring that anyone can access, understand, and trust the data.

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Samberg Center DR 3 & 4
10:50 AM - 11:00 AM
Break
Samberg Center DR 3 & 4
11:00 AM - 11:20 AM
Applying Data Science Tools and Techniques to Solve Your Business Problems

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Applying Data Science Tools and Techniques to Solve Your Business Problems will allow the audience to extract insights from time series data with data science tools and techniques. Erica will highlight some work used by university partners that leverages Jupyter Notebook and Python to demonstrate analytics using time-based data.  The dataset for the example will be fermentation data, where analytical examples will include prediction of the apparent degree of fermentation, cooling curve prediction, and PCA for visualization and outlier detection.  Erica will also mention some challenges and point future ideas.  This work is based on the OSIsoft Cloud Services platform.

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Samberg Center DR 3 & 4
11:20 AM - 12:00 PM
Digital Transformation to Advance Next-Generation Biomanufacturing through Data Integration and Analytics at Amgen

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Samberg Center DR 3 & 4
12:00 PM - 1:00 PM
Lunch and Networking
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Samberg Center DR 3 & 4
1:00 PM - 1:40 PM
Application of a KNN-based Similarity Method to Biopharmaceutical Manufacturing at Biogen

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Samberg Center DR 3 & 4
1:40 PM - 2:20 PM
Digital Transformation and Enterprise Infrastructure

In this closing talk, we will recap the full PI System stack as part of the overall enterprise IT landscape, and how digital transformation evolves from digital enablement and business process transformation.  And, we review its role as the enterprise infrastructure for IoT and industrial sensor time-series data - including process data (SCADA, PLC, …), machine condition data (vibration, oil analysis etc.), and others –  to provide the mapping and data for numerous line-of-business systems, in production planning, equipment reliability, inventory, quality etc. 

Next, with a silica-gel/molecular-sieve based feed dryer use case, we will explore how a “layers of analytics” approach and the PI System self-service tools help subject-matter-experts prepare context and metadata enriched time-series datasets for your machine learning tools/data scientists. Lastly, we will touch on new offerings – OCS (OSIsoft Cloud Services), EDS (edge data store), OMF (OSIsoft Message Format), and others.

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Samberg Center DR 3 & 4
2:20 PM - 2:30 PM
Thank You and Closing
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Samberg Center DR 3 & 4
2:30 PM - 3:30 PM
The MIT Chemical‐Biological Engineering Laboratory Tour - Pre-registration required
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Please note, there will  be a very brief walk from the Samberg Center to the Lab. Capacity is limited.
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The tour will highlight technologies and concepts that chemical engineering students experience during their course with Dr. Hamel. The technologies and equipment available there include process-scale bioreactors, a high-throughput single-use microreactor platform, mass spectrometry, multi-analytes analyzers, HPLC, RAMAN spectroscopy, high-pressure homogenizer, a data historian, computational design and analytical tools. Students learn about cell metabolism and biological pathways, kinetics of cell growth and product formation, oxygen mass transport, scale-up, design of experiment methodologies, online process monitoring during batch, semi-batch and continuous bioprocessing, product recovery and purification, principal components and multi-variate analysis. The tour will provide a view into how the workforce of tomorrow leverages the software tools for benchtop lab work, analytics, and golden batch cycle targets.
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MIT Chemical‐Biological Engineering Laboratory

Success Story from Pfizer

Watch David Rabon of Pfizer describe how their plan to use the PI System as a means to bring real-time data into the cloud was broadened in response to the ease of use and added value it brought to local users in operations. Watch his full conference presentation "Implementation of an OSIsoft PI System in Support of Advanced Pharmaceutical Manufacturing" from PI World San Francisco 2019. 

Location

MIT Samberg Conference Center
DR 3 & 4
50 Memorial Drive
Cambridge, MA 02142
 
 
 
Recommended: take the Red Line to the Kendall / MIT stop for a five minute walk to the Samberg, Uber, or Lyft.
There are several parking garages, within walking distance, around Kendall Street, averaging $28 if you are in before 9 am and out by 6 pm.

Questions?

Contact us at namevents@osisoft.com