AI in Practice — From R&D to Manufacturing
We invite you to the second event in the series organized by the SPCC Digital Transformation Committee. This time, the topic will be: “AI in Practice — From R&D to Manufacturing.” During “AI in Practice – from R&D to Manufacturing”, we will showcase how artificial intelligence – in particular generative AI – is being implemented in practice at scale across different areas of business, including production and operational environments.
During the event, we will present concrete case studies based on real-life implementations:
- How to successfully implement generative AI in a large R&D organization – comprising over 1,000 employees working on both software and hardware across multiple locations? We will present an approach based on an AI maturity model that enables scaling solutions without relying on external consultants, as well as how to leverage existing grassroots initiatives and experiments instead of starting from scratch.
- How generative AI can transform customer data analysis? – based on a member company case, where AI was used for automatic translation, sentiment analysis, and summarization of thousands of customer reviews from multiple countries. This made it possible to quickly identify key strengths, areas for improvement, and actionable recommendations – while ensuring full data security.
During the event, you will learn:
- how to take a strategic approach to AI implementation within an organization,
- how to move from experiments to scalable solutions,
- how AI can improve data analysis and decision-making,
- and what real business and operational benefits (including in production and operations) AI implementations can deliver.
This event is aimed at business leaders, R&D experts, and professionals who want to see how AI works in practice – beyond theory, in real business and industrial environments.
Partners:
Agenda
09:00 – 09:30
Registration
09:30 – 09:40
Opening speech
09:40 – 10:05
Case Study 1: How to Make Customer Feedback More Useful with Generative AI
Speaker: Jakub Rudzki (Vincit)
Q&A (5 minutes)
10:05 – 10:30
Case Study 2: Tailored Approach to Strategic GenAI Adoption at Scale
Speaker: Jakub Anderwald (Demant)
Q&A (5 minutes)
10:30 – 10:40
Coffee break
10:40– 11:05
Case Study 3: START WITH DATA QUALITY: How to Prepare for AI Without Burning Budgets
Speaker: Kamil Dzięgielewski (Data Rise Lab)
Q&A (5 minutes)
11:05 – 11:30
Case Study 4: Beyond Boundaries: Practical Applications of AI in Marketing, Customer Service, and Automation in 2026
Speaker: Krzysztof Wyrzykowski (Kruko)
Q&A (5 minutes)
11:30–12:00
Hot Chairs – extended interactive Q&A session with all speakers
Moderator: Jan-Michael Junell (Eclipse Group)
12:00–13:00
Networking
Speakers
Kamil Dzięgielewski
CEO & Co-founder | DataRiseLab
Entrepreneur, leader, and trainer with over 15 years of experience in strategic and technology consulting, project management, and IT services for business. Currently serves as CEO of DataRiseLab Sp. z o.o., a company specializing in data management, reporting, Data Science, Machine Learning, and AI solutions.
Throughout his career, he has held various roles related to project management, strategic advisory, and corporate finance. Operating at the intersection of business and technology, he focuses on improving organizational efficiency and implementing processes and structures that optimize the use of modern technological solutions.
Together with his team, he advises clients on enterprise data management architecture, supports the design and execution of technology transformation programs, and guides organizations through complex implementation processes.
He has worked with clients across financial services, retail, hospitality, mining, automotive, industrial, and energy sectors, delivering projects in Poland, Canada, Norway, Germany, and Luxembourg.
Jakub Rudzki
CIO | Vincit
As Chief Information Officer (CIO) at Vincit and head of its Poznań subsidiary, Jakub Rudzki leverages his expertise in data-driven business transformation, with a strong emphasis on autonomous artificial intelligence (AI) integration, to spearhead innovation across the organisation.
Drawing on over two decades of hands-on experience, Jakub has managed complex mergers and acquisitions (M&A) integration projects, resulting in smooth transitions for acquired teams and improved company performance. His track record also includes leading numerous customer projects focused on SAP commerce, ERP, and business intelligence (BI), demonstrating his practical knowledge and ability to deliver successful outcomes.
Jakub holds a PhD from Tampere University of Technology, specialising in quality within software organisations.
Within the Digital Transformation Committee, Jakub’s primary aim is to enhance awareness of the various challenges associated with digital transformation. This objective extends not only to this committee members but also to other relevant stakeholders.
Jakub Anderwald
Director, Software Solutions | Demant Technology Centre
Krzysztof Wyrzykowski
Managing Director | Kruko
