Unlocking Efficiency: How Digitalization and AI are Redefining Biopharmaceutical Process Development

Biopharmaceutical process development (PD) is becoming increasingly complex, requiring teams to efficiently manage vast amounts of data while balancing flexibility and control.

As organizations work to scale their processes, integrating digital and AI-driven strategies is essential for improving efficiency, ensuring data integrity and accelerating decision-making. However, many PD teams still rely on siloed data systems, manual workflows and disconnected analysis tools, creating bottlenecks that slow innovation and hinder AI adoption.

In this webinar, the expert speakers will explore how digitalization and AI are transforming process development, enabling organizations to build a strong data foundation, create seamless digital workflows and prepare for AI-driven process optimization. This webinar will highlight real-world examples and a technology demonstration to showcase how teams can transition from fragmented, manual processes to an integrated, data-driven approach. They will explore considerations for the next wave of digital and AI maturity using a mix of real-world examples and technology demonstrations.

A key focus will be on establishing a scalable data foundation that connects experimental data, recipes, analytical results and process parameters. By structuring data in an AI-ready format, teams can break down silos, enhance traceability and generate actionable insights. They will also discuss the importance of designing digital workflows that encourage collaboration while maintaining the right balance between flexibility and control. These workflows enable process scientists to efficiently transfer knowledge, streamline execution and capture high-quality data that fuels AI-powered decision-making.

Finally, the expert speakers will examine how AI-ready analysis can enhance both scientific and operational outcomes. With structured data and embedded analytical tools, teams can optimize process parameters, automate routine analysis and accelerate innovation. As AI continues to evolve, organizations that invest in digital transformation will be best positioned to capitalize on its potential, driving greater efficiency and scientific advancement.

Whether organizations are just beginning their digital journey or looking to enhance their existing capabilities, this webinar will provide valuable insights into modernizing process development through digital and AI-driven strategies.

Register for this webinar to discover how digitalization and AI-driven strategies can transform operations, break down data silos and streamline workflows for enhanced efficiency and decision-making.

Speakers

Michael Schwartz, Process Development Strategy at Benchling

Michael Schwartz is an experienced operator at the intersection of life sciences and digital technology. He currently focuses on process development applications at Benchling, bringing the R&D Cloud to global biotechnology innovators across the world. Michael was formerly at Salesforce as Senior Director, Life Sciences focused on pharmaceutical strategy.

His early career includes co-founding of Fluxion Biosciences (acq: Cell Micro) and being an early employee at Advanced Stent Technologies (acq: BSX). Michael received his MS in Biomedical Engineering from Columbia University and BS in Bioengineering from UC Berkeley.

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Wendy Cheng, Scientific Solutions Consultant at Benchling

Wendy Cheng is a Solutions Consultant at Benchling, specializing in process development and digital transformation for the life sciences industry. With a strong foundation in process and automation engineering, she brings over a decade of expertise in ELN, LIMS, MES and DCS systems, helping organizations optimize their scientific and manufacturing workflows.

Wendy is highly proficient in ANSI/ISA-88 batch control philosophy, GMP and risk-based system commissioning and qualification. She also has deep experience in cloud-native software implementation, enabling biotech and pharmaceutical companies to modernize and scale their operations efficiently.

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