AI in Technology & Innovation Management (TIM)
Innovation has traditionally been seen as a domain for humans, because of their unique capability to innovate. But the way of innovation is being changed by the possibilities of AI.
Join our “AI in TIM” consortium project, profit from best practices insights, and gain an individual guideline on automating your TIM process.
What you get
- Discover current and potential requirements and trends within technology and innovation processes
- Gain insights into where AI can usefully optimize your TIM processes
- Identify the key pain points in your own TIM process and get a status quo assessment
- Identify individual quick wins and get recommendations of action options based on the status quo analysis
- Assess the potential of AI in relation to the implementation effort in a prototypical demonstration on one selected
use case within the consortium. - Share ideas with leaders from other companies and gain insights into their practices
- Get answers to your most pressing questions and learn more about best practices and success factors
- Be part of a benchmarking study on the TIM processes and profit from exclusive insights into the study results
Why it matters?
AI demonstrates a turning point in how we do innovation, fundamentally redefining our approach to technological advancement in all areas. So why not use AI to optimize the innovation process itself?
By integrating AI, our innovation processes can profit significantly, leading to smarter, faster, and more effective solutions.
By leveraging AI, we're not just keeping pace with change; we're pioneering it. AI can revolutionize our journey of continuous growth and innovation and ultimately a smarter future.
“AI is not going to replace managers, but managers who use AI will replace the managers who do not."
~ Rob Thomas, IBM Senior Vice President
Find out more about the current challenges in TIM, what opportunities AI offers in terms of improvement & optimization and why its integration is crucial for transformative growth & efficiency in our Whitepaper on this topic.
Key elements of the project
Individual problem identification
Identify the key pain points in your own TIM process and define most promising quick win solutions.
Demonstration use case
Assess the potential of AI in relation to implementation effort on one selected use case.
Success Stories & Lessons Learned
Get answers to your most pressing questions, exchange with experts and gain insights into their best practices.
Join now!
Project Outline
Phase 1
In the Kick-Off meeting, you will get to know the project consortium and the project structure. You'll have the opportunity to share your expectations and provide input on the project scope.
We will conduct an outside-in analysis to identify current trends, requirements, and promising use cases in the TIM field. Additionally, success stories and best practices gathered from our partner network will be presented at the 1st Interim meeting.
Phase 2
An individual workshop will be conducted with each consortium partner to assess the status quo of your current individual TIM process and prioritize the quick wins. As a result, you will receive a well-founded guide on how to approach the further introduction of AI in your own most promising use case.
At the 2nd interim meeting, the consortium will choose one relevant use case for demonstration during the last phase of the project.
Phase 3
A prototypical demonstration of the selected use case will be conducted to showcase how AI can optimize specific challenges within the TIM process. The aim is to depict the relationship between benefits and efforts and to validate the assumed added value of the use case.
At the project's final meeting, we will summarize the lessons learned, discuss the demonstration use case, and define the individual or consortial next steps.
We offer you a comprehensive portfolio of proven methodological frameworks and expertise to accelerate the identification and ultimately the implementation of digital and AI solutions according to your requirements.
Target group
Participation in this project is open to medium and large companies from all industries who want to uncover the optimization potential of their own R&D as well as their technology & innovation management processes.
Benefit from our experience
We provide you an extensive range of established methodological frameworks and a wealth of experience to expedite the identification and, ultimately, the implementation of digital and AI solutions tailored to your specific needs.
Cooperation Partner
General Conditions
Project Start: September 2024
Duration: approx. 6 months
Costs: 19,000 € per company (15,000 € for INC Members)
Industry Partners
Your Project Team
Toni Drescher
Toni Drescher is an experienced engineer and entrepreneur who has been involved in the implementation of technology-based innovations for the past 20 years. He gained practical experience in various leading management and consulting positions. He set up and commercialized new companies for several cutting-edge products and services and stands for the successful implementation of innovations. As the owner and CEO of the INC Innovation Center Group, he focuses on implementing and scaling innovations from idea to market launch to secure growth opportunities and competitiveness of large enterprises.
Toni Drescher
Anne Loos
Anne Loos is a dedicated business leader in the manufacturing industry, passionately driving growth and innovation. With extensive expertise in advanced AI and digital transformation, coupled with over 14 years of hands-on experience in pioneering technologies, she implements strategies to sustainably strengthen companies' competitiveness. Through successfully diversifying international business, creating new business models, and crafting customer-centric strategies, she has established herself as a trusted partner. Her global impact extends to significant data-driven projects on a global scale.
Anne Loos
Antonela Germek
Antonela Germek brings over 5 years of experience in leading and managing innovation projects across diverse industries. As the Head of Innovation Excellence at the INC Innovation Center, her primary responsibilities include developing, coordinating, and overseeing initiatives centered on methodical innovation management, new business development, and strategic alignment with current and emerging technologies. Supporting companies in identifying and systematically implementing the most suitable innovation approaches is just one aspect of her diverse focus.
Antonela Germek
Tim Schroeder
Tim Schroeder studied Electrical Engineering & Information Technology as well as Business Administration and General Management at RWTH Aachen University. As the Head of Artificial Intelligence at the INC Innovation Center, he led multiple bilateral and multilateral projects in the areas of Industry 4.0, Logistics 4.0, and Artificial Intelligence. Through technology scouting, data analysis, and AI assessments, he assists companies in successfully implementing new innovations.