WomenHackAI
Siemens Female Data Science Network
18.09.-20.09.2024
Solve Exciting AI Challenges at our Virtual Hackathon
Explore the world of Artificial Intelligence within one of the global industry leaders and address exciting AI challenges impacting future needs - 48h | 5 Challenges | 40 High Potentials
Join the Siemens Female Data Science Network in tackling challenges of tomorrow’s industries and business practices. Entering our journey enables you to work with industry experts, provide your expertise and explore new horizons together. This is your opportunity, so come join our network and start hacking.
Experience the best combination of your enthusiasm and expertise in AI together with innovative Siemens departments and specialists. Starting on the 18th of September 2024, we will take you on a two-day journey of exploration and deep dive into different AI activities to give you the insights you need to tackle a specific use case within one of our five challenges.
Exciting opportunities ahead: Join us in solving the industry’s most pressing challenges! You decide where to start!
Challenges
Challenge #1 Tenders for SCADA product - how to create a meaningful automation system concept based on tenders​
Explore how to design a cutting-edge AI system that automatically evaluates tenders and matches them with your product’s features. Join in developing an advanced tool that creates detailed requirement lists, clearly demonstrating your product's alignment with tender specifications.
This innovative approach is set to revolutionize the way businesses efficiently and effectively assess tender opportunities.
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Challenge #2 Hack the Finance - Use GenAI To Transform Financial Analyses and To Enhance Credit Decisions
Solve this challenge featuring AI-supported Credit Decisions.
Your challenge: use GPT 4o-powered Smart Text Search Tool to perform a comprehensive financial analysis and compare your results to other LLMs like Claude V3 Sonnet and Mistral Large. Harness state-of-the-art LLMs to extract valuable insights. Improve pre-defined prompts and enable automated comparison between different LLMs for various document types, thus simplifying credit decisions for Financial Analysts
Challenge #3 Mastering the art of graphical PDFs: The challenge of visual data extraction
​​Your task is to extract hidden data from complex graphics and specialized charts that go beyond plain text. Use your technical skills and creative approaches to develop innovative tools and methods for deciphering these complex visualizations. Explore cutting-edge image and diagram analysis techniques such as the multimodal Large Language Model, conduct groundbreaking experiments and present your breakthrough solutions.
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Challenge #4: AI-Enhanced Competitive Intelligence
Develop a GenAI system that revolutionizes competitive intelligence by scanning daily news to extract latest information and create a transparent overview for strategists and business developers. The solution is aimed to extract latest news, cluster information into different categories and provide summaries to keep the teams updated with latest developments in the rail market. Additionally, an intelligent search function should help to quickly find the right answers and avoid getting lost in the flood of information. Join us in creating an advanced AI tool that enhances efficiency, foster transparency, and enable faster decision making.
Challenge #5 GridAI
​​Develop an interactive knowledge base and compagnion for power system advisory services.
Make decades of experience and thousands of reports available through GenAI, and develop an OpenSource-Chatbot to overcome one key bottlenecks of the energy transition: Distributed and on demand domain know-how in power grids (#NoGridNoGlory). As you conceive how to automate document tagging & classification, recognize patterns in grid data, personalize user experience, ... you will test and design what works best for automated and augmented grid planning.
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Jury
Susan Baumann
CFO of Commercial Finance
in Siemens Financial Services
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David Vorih
CIO of Siemens Financial Services
Dietmar Mauersberger
Head of Data Analytics, Business Intelligence and Data Management
Ariane Sutor
Head of Start-up Business Line
@Siemens​
Dr. Sabine Wiesmüller
Director AI Europe @Start2Group
We Are Looking For:
We are looking for dedicated data enthusiasts, hackers, coders, and entrepreneurial thinkers, who want to develop innovative and creative ideas and find digital/ AI solutions for the industry’s most pressing challenges.
We are looking for female students / PhD students:
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Who already gained some practical experiences,
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Who are studying math, physics, data science, business studies or a similar study program
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Who have experience in analytics and/ or coding (Python/ R)
If you identify yourself as a highly motivated individual with creative thinking and an interest in solving problems, testing concepts, and expanding your horizons, we look forward to hearing from you!
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The winning team will receive a cash prize! Stay tuned for more information.
Your Hosts
Dr. Ulrike Dowie
“Our 5 challenges give proof how applying Data Science takes the everyday work at Siemens to another level. Want to join us? Pick the challenge that attracts you most and apply right now!"
Dr. Sylvia Endres
"I am very proud of this unique hackathon where female talents from all over the world jointly solve the toughest challenges. Use this opportunity to get in touch with like-minded women and experts from different fields and drive tech and diversity forward."
Coaches & Speakers
Jack Lampka
Speaker
AI keynote Speaker & Advisor
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Annika Fuchs
Challenge #1 Business Coach
Product Portfolio Manager
Siemens AG
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Lilia Grasso
Challenge #1 Tech Coach
IT Service Professional
Siemens AG
Maria-Liisa Bruckert
Speaker
Keynote Speaker | AI Startup Founder | Serial Entrepreneur & Transformation Coach
Anna Bischof
​Challenge #2 Business Coach
Credit Analyst at Siemens Bank GmbH
@ SFS
José Filipe ​
Brito de Jesús​
Challenge #2 Tech Coach
Machine Learning Engineer​
@ SFS
Reinhard Allwang
Challenge #3 Business Coach
Director ​
@ Siemens
Stefan Nachtmann
Challenge #3 Business Coach
Senior Component Engineering Manager
@Siemens
Marcel Kuhn
Challenge #3 Tech Coach
Senior Data Scientist
@Siemens
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Oliver Doelle
Challenge #3 Tech Coach
Senior Data Scientist
@ Siemens
Kristina Lohrmann
Challenge #4 Business Coach​
Competitive Intelligence and Analytics Consultant
@ Siemens
Ann-Kathrin Kleiner
Challenge #4 Tech Coach​
Project Manager
@ Siemens
Ben Gemsjaeger
Challenge #5 Business Coach
Head of Distribution Grid Planning
@Siemens
Hanna Mykula
Challenge #5 Tech Coach
AI Engineer
@Siemens
ABOUT
Siemens Female Data Science Network
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​"Why is there a “Female Data Science Network” at Siemens? Because we show how connecting data-driven minds in diverse teams leads to great results and makes for a fun working environment!"
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Dr. Ulrike Dowie, Dr. Sylvia Endres
Siemens Female Data Science Network
​FAQs
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What topics will I work on?
Depending on the track that you are joining, you will dive deeper into the respective topic. Our tracks feature a broad range of different fields like NLP, web crawling, relationship identification, anomaly detection and more. You can choose your track depending on interest and expertise.
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Who can apply?
If you are a (preferably master or PhD) student, intern, young professional, university employee or any other AI expert with experience in any of the following fields you are very welcome to join:
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machine learning / deep learning,
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natural language processing,
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explorative & predictive analytics
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time series analysis & forecasting,
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and more…
Depending on the track you apply for you should bring at least some of the relevant expertise to the table. We will select the final round of participants depending on skill level. Siemens employees who want to participate in the hackathon outside of work can - of course - join us as well.
When will the hackathon take place?
The kick-off event will take place on the 18th of September 2024 at 1 p.m. (CET). After that, you’ll have time till the thnd of September to elaborate on your challenge. The final presentations will start on the 20th of September at 2:30 p.m. (CET).
What is the setting?
The hackathon will take place virtually. For any questions about this just contact us via contact@womenhackai.com.
What does the application process look like?
This hackathon is an application-only event. Please apply via our website, the application deadline is the 8th of September. We will screen each application thoroughly. Our decision is based on your expertise as well as a fit to the track and the rest of the team. We will let you know by September 11th if you’ll be part of this amazing opportunity. We have limited space, and if we do not choose you – please don’t worry, you can still become part of our AI community later on and join future hackathons.
How can I find a team?
It’s easy to participate and find a team. For each challenge there will be a team with other awesome people based on your interests and skills. If you don’t have a team yet, just apply and choose your preferred challenge. If you already find possible team members before you apply, just let us know who you would like to be in a team within your application.
What data and tools can I work with?
That’s the amazing part – our experts will provide you with everything that is needed for each challenge! Therefore, the data and tools that we provide depend on the specific track you’ll join. If you have suggestions about other useful tools that should be hosted locally, please let us know!
What will be the outcome of my work?
On Friday (September 20th) at 2 p.m. (CET), you will present the final results of your work to our jury in a 10-minute pitch. For this, we highly encourage a code-first mindset – so your presentation should emphasize on the proof of concept, the visualization or the software products of your project and keep the slides at minimum. Of course, we will announce a winner, and there will be prizes.
What do I need to bring?
Just bring your laptop and a happy hacking attitude.
How and by whom are the results evaluated?
A jury of business and technology experts from Siemens will evaluate your solution, based on innovativeness and maturity (working code, technological achievement, user interface, …) and will nominate a winning team.
Can I win anything?
Of course: The winning team will receive a cash prize.
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How does Siemens ensure the confidentiality of the internal data on which the challenges are based?
In this hackathon you will have the opportunity to contribute to impactful industrial AI applications, all of which are based on real data from Siemens and our customers. Since this data is confidential and not intended for external publication, we will kindly ask you to sign a non-disclosure agreement as you begin working on your hackathon challenge. For detailed information about licenses and rights, please refer to our Terms & Conditions.
If you have further questions, write us an old-fashioned email and we'll make sure to reach out to you asap: contact@womenhackai.com