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Webinar

Transforming your future with digital continuity powered by Gen AI

Building the bridge to infinity
September 30th, 2025 | 03:00 – 04:00 PM CET

For businesses to thrive in the future, there must be no constraints on digital continuity

Continuously increasing product complexity, speed of innovation, and disruption in the geopolitical economy are significant challenges for technology and innovation leaders. Without a continuous thread linking data, tools, and decision-making across time, emerging innovations risk becoming isolated silos. So, how do you turn these pressures into opportunities? With digital continuity.

Digital  transformation with AI is an emerging gamechanger. What was once thought to only be relevant for engineering and R&D is now a transformation enabler for the entire enterprise. It facilitates a seamless flow of data, decisions, and collaboration across the product lifecycle, unlocking new levels of agility, efficiency, and customer value. 

Capgemini defines digital continuity as the end-to-end integration of ideation, engineering, manufacturing, and aftersales into one unified digital thread. When enhanced with Gen AI, this becomes a powerful engine for transformation.  

Three use cases for digital transformation with AI:

  • Design and Engineering: Gen AI copilots assist engineers by generating design alternatives, simulating performance, and optimizing for sustainability.
  • Manufacturing: AI-driven digital twins and predictive analytics improve quality, reduce downtime, and enable agile production.
  • Aftersales and Service: Gen AI enables intelligent diagnostics, personalized service recommendations, and closed-loop feedback for R&D.

These capabilities are already delivering measurable benefits: faster time-to-market, reduced development costs, improved product quality, and enhanced customer satisfaction.

To help more leaders realize the pivotal role AI-powered digital continuity plays in futureproofing business operations, Capgemini will host an exciting, high-impact digital transformation webinar for leaders driving transformation across technology, product, and innovation functions.

​Register now by filling the form for our digital transformation webinar!​

What you will get during this event:

  • Strategic insights to future-proof your product and technology strategy through digital continuity
  • Lessons-learned from industry peers’ real-world transformation stories
  • Application examples of how Gen AI can help in engineering and digital continuity
  • A focused, high-value exchange with Capgemini experts and fellow executives

We are pleased to invite you to ‘Transforming Your Future with Digital Continuity Powered by AI.’

📅 Date: 30th of September
⏰ Time: 15:00-16:00 ​CET

There are limited seats are available for this exclusive webinar – so, act fast!
Let’s turn Digital Continuity into your competitive advantage.

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Meet our experts

Charlotte Pierron-Perlès

Charlotte Pierron-Perlès

EVP, Managing Director of Intelligent Industry, Capgemini Invent
Charlotte is the Managing Director of Capgemini Invent’s Intelligent Industry global practice. She drives CxO agenda on R&D and operations transformation. Charlotte has 20 years of experience and acts as trusted advisor to leading large scale end to end transformation for global companies where data, GenAI and advanced technologies are helping to drive significant revenue growth and enhancing their competitiveness, while meeting sustainability imperatives.
Udo Lange

Udo Lange

Global Head of Digital Engineering and R&D Transformation at Capgemini Invent
As Head of Digital Engineering & R&D Transformation at Capgemini Invent, Udo Lange brings over 25 years in consulting, innovation, and PLM. He helps global industrial firms embrace digitalization to deliver high-performance, sustainable products while optimizing lifecycle costs. With a passionate team, he blends engineering, IT, and transformation expertise to solve complex challenges across sectors like automotive and machinery, shaping the future of engineering and product development.
Verena Gertz

Verena Gertz

Vice President | Global Offer Lead Digital Continuity, Capgemini Invent
Verena Gertz is a senior program executive with focus on Digital Engineering and Innovation Lifecycle Management in Manufacturing, Aerospace and High-Tech industry. With her team she stands for high-quality delivery of large-scale, international projects leveraging the power of the Capgemini group with a strong partner play. For her clients she shapes and leads E2E transformation projects with a combined perspective on business & IT aspects from strategy through design to implementation & rollout.

    FAQs

    Digital transformation with AI supports long-term business by preserving data, context, and knowledge across systems and time, enabling organizations to adapt in a dynamic environment without losing valuable insights. It facilitates seamless transitions throughout ever-increasing change, supports compliance, and bolsters agility in the face of disruption.

    AI is transforming digital continuity by automating data integration, detecting inconsistencies and alerting organizations, and predicting system failures before disrupting operations. By connecting past data and present insights, it informs future actions to be taken. Ultimately, digital transformation with AI can make organizations more intelligent, dynamic, and proactive.

    A digital twin is a virtual replica of a physical asset, process, or system. The mirroring of real-time data enables businesses to simulate scenarios, monitor performance, and make informed decisions faster while reducing exposure to risk.

    The industries leading the way in AI and digital twin adoption are manufacturing, aerospace, energy, and healthcare. Such cutting-edge solutions enable these industries to optimize performance, predict required maintenance, ensure safety, and maximize uptime.

    AI technologies can fast-track digital transformation by automating tasks, distilling complex data, revealing value-adding insights, and detailing optimal workflows. AI can identify operational hurdles, accelerate decision cycles, and scale innovation more efficiently.

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