Cornelia Schaurecker
Founder & CEO of InnoTech AI
Cornelia Schaurecker is a visionary AI, Data, Cloud, Digital Transformation and technology leader and senior Executive Advisor with over 24 years of experience in the Automotive/Mobility, Telco, and Private Equity sectors, including strategic advisory board memberships.
Cornelia simplifies and demystifies complex Artificial Intelligence (AI), data and digitisation topics for senior executives and data leaders to gain business value from AI, with pragmatism and a hands-on delivery focus built on 25 years digital transformation, big data and AI expertise.
Cornelia has built and led AI, data and digitisation teams in Automotive and Telco, developed the respective strategies including hundreds of AI use cases including appropriate governance, supported executives with Data/AI driven decision making, drove the people aspects and accelerated AI adoption through agile delivery, scaling and Automation with cutting edge tech and partners, e.g. ML Ops.
With her strong customer, growth and delivery focused, empathetic and entrepreneurial mindset, Cornelia is an intercultural and diversity advocate delivering impact in complex environments for all stakeholders. Together with her InnoTechAI Consulting team, Cornelia is guiding businesses through the complexities of the AI driven future, advising companies of all sizes to turn data into business impact.
You can find her and follow her journey on LinkedIn.
speaker topic 2024
Successfully applying AI in practice – How to enable tomorrow with AI/Gen AI and Big Data
In this session, learn more about the „bigger picture“ of AI including it’s profound influence on industries from a macro perspective but also concrete practical use cases, do‘s and dont‘s to think of when implementing AI/Gen AI. Understand how AI and Big Data have the power and demonstrate the opportunity to reshape different industries as well as people‘s daily lives, driving innovation, and creating new opportunities for customers, companies and society, whilst also posing risks and challenges.
Leaving the „hype“ behind, we will provide an overview of the current state of play in AI, highlights the importance and profound influence of AI from a macro perspective and will focus on the actual progress different industries have already made in applying AI and GenAI with some examples (especially automotive/mobility and other customer facing sectors.
Thereafter, we will delve into successful use cases along the entire value chains, as well as other foundational „building AI & Data building blocks“ along with trends, challenges as well as do’s and dont‘s to understand what it takes to make AI work for you and your organisation‘s needs in practically and to overcome them to deliver value in a successful, sustainable way.