On-demand webinar

Scaling digital innovation in drug discovery and clinical trials

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Damian Adamczyk

Biotechnology Consulting Manager, Software Mind

Baris Ersezer

Technical Program Director, Data & AI, Novartis

Tony Butler

Strategic Account Manager, Software Mind

Move from pilot to production with data and AI in biomedicine

Innovation in life sciences often stalls after a promising pilot. If you’re overseeing R&D and operational transformation, you know this struggle well.

So how to turn prototypes into production-ready solutions? Hear from Baris Ersezer, Technical Program Director, Data & AI, at Novartis and our own expert, Biotechnology Consulting Manager, Damian Adamczyk and get real-world strategies for successfully leveraging new tech across biomedical processes – like drug discovery and clinical trials.

Watch the webinar and gain the knowledge to drive transformation in your own organization.

Webinar agenda

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Beyond the "proof-of-concept trap"
- The problem: Why promising prototypes fail to leave the lab
- The solution: A direct framework for turning prototypes into scalable, production-ready solutions
Strategies for integration
- Successfully embedding data-driven AI solutions into biomedical processes like drug discovery and clinical trials
Maximizing ROI
- Applying current solutions in new contexts to extend R&D pipeline impact
Overcoming the key barriers to scaling
- Critical steps for navigating regulatory and operational hurdles
- Proven tactics for securing stakeholder buy-in and managing change
- Leveraging cross-functional teams and external partners to accelerate implementation
Real-world application
- Case study exclusive: Insights from collaborations on moving beyond experimentation
- Tangible impact: How fully deployed solutions drive outcomes in pipeline efficiency and trial optimization
Q&A session

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In this webinar, you’ll learn how to:

Turn prototypes into production-ready solutions
Apply AI in clinical operations and research
Avoid common mistakes that prevent innovation from scaling
Handle pushback and regulatory hurdles
Repurpose tools you already have
Understand when to bring in outside help and how to manage it

Speakers

Damian Adamczyk
Biotechnology Consulting Manager, Software Mind
With 10+ years of experience in R&D and 4 years in business development, startup growth, business analysis and innovation management, Damian has played a key role in successfully bringing new life science products to market. Currently, he is deeply committed to enhancing the life sciences by adopting AI, data intelligence and workflow orchestration.
Baris Ersezer
Technical Program Director, Data & AI, Novartis
With decades of experience in digital transformation and innovation, Baris Ersezer, Program Director, Data & AI, Clinical Innovation – Novartis drives AI/ML and digital health technologies in clinical development, advancing biomarkers, digital endpoints and patient screening to deliver scalable, real-world impact. His leadership spans global organizations like Merck and Johnson & Johnson, as well as entrepreneurial ventures, including his role as Founder & CTO of Denodia, a digital innovation company.
Tony Butler
Strategic Account Manager, Software Mind
With over 25 years’ experience in staff and business management, Tony has consulted technology startups, scaleups and market leaders, such as IBM, Cisco, Palo Alto Networks, Deutsche Bank and HSBC. Wide expertise in high-touch business and technical consultancy, sales, marketing, technical engineering and IT strategy enables him to support companies in a variety of ways.

About Software Mind

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Software Mind engineers software that reimagines tomorrow. For over 25 years, our top-notch development teams have been accelerating digital transformations and boosting software delivery for companies of all sizes across different industries.

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