In-Person Event

Strategies to Enhance Innovation: A JMP Discovery Seminar

Join us for an enlightening event on accelerating innovation.

Date: Tuesday, Nov. 12
Time: 9:30 a.m. - 1:30 p.m.
Lunch: 11:45 a.m.-1:00 p.m.
After party and additional learning opportunities: 1:30-3:00 p.m.
Location: Burlingame, CA
Venue: Hyatt Regency San Francisco Airport
Registration: Free, but registration is required.

You’re invited to join us for this Discovery Seminar in Burlingame, CA! You’ll learn practical tips and tricks, best practices, and strategies to effectively implement designed experiments in your day-to-day work.

Key takeaways:

Maximizing learning from data and, in turn, plugging your insights into faster innovation.
Implementing approaches to DOE that promote better decision making, whether you’re just getting started or are conducting advanced experimentation.
Achieving faster, more predictable cycles while saving valuable time and resources.

Each session will be followed by live Q&A with our experts. A networking lunch and additional learning opportunities round out the program.

Attendance is limited. If you plan to join us, please register as soon as possible.

Agenda

Registration

Time: 9:30-10:00 a.m.

Plenary: Innovation starts when you accept an idea might be wrong

Time: 10:00-11:00 a.m.

Session Presenter
Tim Gardner, Cambium

The heart of innovation is the learning cycle: try, miss, learn, try again. With the right blend of dogged goal seeking and humble acceptance of the unexpected, nature gradually yields its secrets. The cycle applies across every human endeavor, technical or not. And the heart of the heart is data. Data matters in its quantity, in its quality, in its diversity. And it matters how you compute with it. In his talk, Tim Gardner shares some lessons learned from 30 years of scientific and social scientific innovation – and how JMP has been an indispensable partner every step of the way.

A passionate advocate for every engineer and scientist to be empowered to pursue efficient, effective discovery of practical insights, Tim discusses how you can speed innovation and achieve faster, more predictable cycles – all while saving valuable time.

About Tim Gardner

Tim Gardner is currently Chief Informatics Officer for Cambium, applying AI and machine learning for high-performance materials discovery for use in extreme environments.

Tim’s 25+ year career spans the fields of therapeutic and industrial bioprocess development, synthetic biology, machine learning and AI, and SaaS in diverse operating environments: small startup, large corporate, and academia. His operating experience includes commercialization (strategy, market analysis, finance, sales and marketing, contracts, deal diligence, entrepreneurship, operations, people leadership) and his R&D experience includes (scientific and technology management, product management, cell line and process development, data science/ML, data infrastructure, software/SaaS, and teaching and academic research). He received his bachelor’s in mechanical engineering from Princeton University and his Ph.D. in biomedical engineering from Boston University.

Tim is a co-founder of the field of synthetic biology, as noted by the journal Nature. He has been recognized as a technology pioneer by Technology Review, the New York Times, and Scientific American.

Session: Experimentation is inseparably linked to innovation

Time: 11:15-11:45 a.m.

Session Presenter
Jeff Upton, JMP

Innovation and experimentation are inherently linked, with DOE (design of experiments) playing a crucial role in driving progress and efficiency. This talk explores how a DOE approach to sequential experimentation not only fosters creativity and mitigates risks, but also enhances efficiency, leading to the breakthrough solutions we all desire. Learn practical strategies to integrate these approaches into your innovation processes to accelerate growth and adaptability.

Networking lunch

Time: 11:45 a.m.-1:00 p.m.

Session: Building a culture of analytics to accelerate time to market

Time: 1:00-1:30 p.m.

Session presenters
Juliette Plager, JMP
Scott Wise, JMP

You have data: assay results, process readings, performance indicators, and expertise – but are you confident you know how to maximize the value from your data? JMP products provide concise, focused resources to democratize analytics and grow your organization’s statistical prowess for faster innovation.

After party: Additional learning opportunities

Time: 1:30-3:00 p.m.

Track 1

Image analysis to classify, predict, and improve performance using deep learning methods that are simple to apply and master
Jeff Upton, JMP

Artificial iIntelligence. Machine lLearning. Deep Llearning. All buzzwords when used without context. Come discover the meaning behind these buzzwords and how to harness the power of JMP's powerful AI tools. This track will include a demonstration of image classification using JMP's new PyTorch Deep Learning Add-In.

Best practices in collaboration in developing and running an efficient, continuous manufacturing process
Chuck Boiler, JMP
Donny Kopp, JMP

A challenge in continuous manufacturing is that geographically dispersed teams are charged with producing and developing quality products efficiently, yet and the data is often everywhere. Prompt intervention and collaboration in a process leads to higher quality outcomes, but it can be challenging when teams and data are not co-located. This presentation demonstrates a collaboration environment that enables data- driven innovation and better products.

Track 2

Synergies with Python and JMP
Mark Zwald, JMP

Unlock new capabilities with Python integration in JMP 18, allowing you access to more data sources and modeling options that can save you time.

Data exploration with dynamically linked graphs
Kevin Potcner, JMP

Using JMP’s intuitive interactive environment, learn how to easily create dynamic multi-dimensional graphs to explore and find hidden features in the data.

Register now to attend

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Additional Speakers

Jeff Upton, JMP

Juliette Plager, JMP

Scott Wise, JMP

Chuck Boiler, JMP

Donny Kopp, JMP

Mark Zwald, JMP

Kevin Potcner, JMP

Adjournment

Time: 3:00 p.m.