Vera Meinert

Innovation Lead Sustainability x Data Products


Main focus: Data, AI & Sustainability

Website/blog: www.linkedin.com/in/vera-meinert

Languages: German, English, Greek

City: Munich

State: Bavaria

Country: Germany

Topics: data quality, sustainability, esg, women in tech/ai, data strategy, ai & data science

Services: Talk, Workshop management, Consulting, Coaching, Interview

  Willing to travel for an event.

  Willing to talk for nonprofit.

Personal note:

🌍Passionate about Data, Artificial Intelligence and Sustainablity. How can we use data to improve the world and strive for a better future?
💎Empowering people (and especially women*) to work with data and create high value use cases.
🍀Using new, human-centered and collaborative approaches to acheive realy value and impact for our planet and society.

Bio:

Vera Meinert is a data scientist and innovation driver at the technology consultancy Collaboration Betters the World GmbH. Born in Marburg, she studied industrial engineering at the Karlsruhe Institute of Technology with a focus on Data Science & AI. Her subsequent career entry as a Data Scientist brought projects at companies such as Miele, Publicis Media and Caramba, where she designed and implemented topics such as Industrial Internet of Things, AI & Data strategies and Data Quality systems.
Within the scope of her Data Science activities, she has intiated, driven and established many topics. From the very beginning, the topic of sustainability has been in the middle of her attention. After starting small and successfully changing the company's internal culture towards more sustainability, since the beginning of 2022 she is now driving the bigger topics as an Innovation Leader:
- How can we use data and existing technology expertise to change the way customers, and thus the entire industry, think and drive sustainable solutions?
- How can technical solutions, AI and the smart use of data contribute to sustainable compliance (e.g. CSRD) and holistic sustainability strategies?
- How can we implement a data-driven Sustainability that enables companies to clearly identify fields and actions for sustainable business value creation?

Examples of previous talks / appearances:

Driving sustainable Impact with new technologies - ChatGPT & Co.

This talk takes a look at AI as a technology, the current developments around ChatGPT and generative AI, and highlights potential application areas of AI for sustainable value creation. In addition to possible positive effects, a look at the risks will be taken and a scenario will be shown how AI can be applied in a meaningful and reliable way.

The talk was held as a basis for discussion in a green tech event. Talk can be given in German or English.

This talk is in: English
Unbiasing Technology: Fairness in Data & AI

When one thinks about equality in the tech environment, the first thing that comes to mind is that few women find their way into technology.
But why is that even relevant? And why does equality matter even in a seemingly completely rational world?
This talk shows examples that led to the discrimination of certain groups in society and gives ideas on how problems of this kind can be solved in an actionable and easy way.

Talk was held in English but can be given in German, too.

This talk is in: English
Multiple smaller talks and webinars on "Data-Driven ESG Reporting - You can not change what you do not measure"

This talks focused on how to start your sustainability transformation with a data-driven approach setting the necessary foundation thorugh an efficient, user-centric data management and the necessary responsibilities and processes.
Measuring your sustainable footprint is the starting point but not an end in itself. Combining a long-term strategy with an iterative approach focussing on short-term impact-driven actions and measures will quickly show success. This is how to pave the path for a long-term transformation while ensuring short-term added value.

Talk can be adapted to individual needs and industries and can be held in German or English

This talk is in: English