Top Laboratory Informatics Trends in 2020 & Beyond
About this webinar
Scientists spend up to 80 percent of their time at the bench with no reliable way to capture and access information in real-time. Most current lab informatics tools are entirely disconnected from the tasks that scientists perform at the point of experimentation. This often results in poor data capture at the bench, leading to inefficient and irreproducible research.
Did you know that over 70 percent of early discovery experiments are not reproducible? Researchers often rely on a mix of electronic lab notebooks, printed protocols, pictures and post-it notes to capture, retrieve and record data. Managing these different data sources, while moving throughout the workplace, can be cognitively taxing for researchers, leading to incomplete or inaccurate documentation.
In this webinar, the speakers will provide insights on how pharma and biotech companies are planning to overcome these problems in 2020 through workflow optimization and equipping labs with smart, integrated technologies to create the “lab of the future.”
Join the roundtable discussion to learn:
- How researchers are using digital voice assistants combined with AI and machine learning to capture, record and retrieve scientific data in real-time
- How companies expect the adoption of voice recognition, internet of things, augmented reality and virtual reality to empower scientists, increase interoperability and make research spaces touchless, connected and automated
- AI’s role in facilitating data-driven decisions and streamlining researchers’ work
What else promises to be game-changers for research teams in 2020? Be sure to use the questions and comments field below to ask your questions when you register for this live webinar.
*As a bonus supplement to this free webinar, get access to the whitepaper on Harnessing AI And Machine Learning To Improve R&D Efficiency And Reproducibility. You can access the whitepaper immediately after registration.
Who should attend
- R&D Scientists
- Information Technology
- Quality
- Operations
- Business Systems
- Data Management
- Innovation
- Laboratory Managers and Staff
- Document/Records Management
- Regulatory Affairs
- Director/Managers Responsible for Inventory and Logistics
What you will learn
- AI’s role in augmenting researchers’ work and helping with data-driven decisions
- Using digital voice assistants, AI and machine learning when working with scientific data in real-time
- What researchers should expect from voice recognition technology, internet of things, augmented reality and virtual reality in the workplace
Featured Speakers
Alok Tayi
Alok is the Vice President of Life Sciences at Egnyte where he is responsible for building and executing the company’s strategy for the life sciences market segment. Alok works across the organization to verticalize our marketing, sales, product, compliance, and account management practices for this domain. Before joining Egnyte, Alok was a YCombinator-backed entrepreneur and started two vertical software-as-a-service companies. Prior to his career in software, Alok spent over 15 years as a scientist: he took part in postdoctoral work at Harvard University with George Whitesides, and has published papers in Nature and Nature Chemistry. Alok holds a PhD from Northwestern University and BS from Cornell University.
Oscar Kox
Oscar Kox is founder and CEO of lab automation company, iVention. Before founding iVention, Oscar worked as a Chemist at Ashland, Sales Executive at Thermo Fisher Scientific and Account Manager at IDBS. He completed a Bachelor in Analytical Chemistry at Hogeschool Utrecht and an MBA at the University of Phoenix.
Thomas Henseler
Thomas Henseler is Digital Strategist at Microsoft. Before, Thomas held other positions within Microsoft. In his previous role, Thomas worked as Account Technology Strategist in Pharma & Chemical Industries. He completed a Bachelor in Business Information Systems at Fachhochschule Bonn-Rhein-Sieg.
Guru Singh
Guru joins LabTwin with several years of experience as a biotech researcher and a lifetime’s worth of passion for entrepreneurship. Beginning his journey as a biotech engineer in India, he published numerous research papers and co-founded life science startups and foundations. After earning his Professional Science Master’s in Biotechnology from the University of Delaware, Guru served as a marketing leader at two California-based life science SaaS startups.
Partner for this event
LabTwin
LabTwin is creating the next generation of digital lab tools for smart labs, starting with the world’s first voice-activated lab assistant. With LabTwin, scientists can collect data, access information, manage experiments and streamline documentation simply by talking. Using voice recognition and machine learning technology, LabTwin’s smart assistant simplifies data capture, structures valuable information, and provides suggestions to scientists in real-time so they can make more informed data-driven decisions. With a mission to empower scientists, LabTwin is backed by BCG Digital Ventures and Sartorius. Its voice-powered assistant is used by hundreds of scientists in leading biopharma companies and academic institutions around the world including Deutsches Primatenzentrum (DPZ), University Medical Center Göttingen, and the University of California, San Francisco.
