Founders Hub Berlin

Founders Hub Berlin

By Serop BaghdadlianBusinessEntrepreneurship
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Founders Hub Berlin episodes

  • #9 Daniel Engelhardt: Building a Company-Specific Retrieval Augmented Generation System (RAG)

    Summary

    In this conversation, Daniel Engelhardt talked about the development and implementation of a Gen.ai RAG system designed to assist employees in a company.


    He discusses the journey from ideation to product development, the technical architecture, the challenges faced, and the importance of prompt engineering.


    Daniel shares insights on evaluating language model responses, security measures taken to protect sensitive information, and strategies to mitigate hallucinations in AI outputs.


    The conversation also touches on the significance of data quality, measuring success through user engagement, and the cost considerations associated with deploying AI systems.


    Takeaways

    • The Gen.ai RAG system aims to assist employees with company-specific tasks.
    • Prompt engineering is crucial and surprisingly complex in AI development.
    • Evaluating language model responses requires innovative approaches.
    • Security measures are essential to protect sensitive company data.
    • Mitigating hallucinations in AI outputs is a significant challenge.
    • Data quality directly impacts the effectiveness of AI systems.
    • User engagement is a key metric for measuring success.
    • Cost management is important but secondary to time savings.
    • Continuous feedback from users helps improve the AI system.
    • The integration of AI can enhance productivity and employee satisfaction.


      • Chapters

      00:00 Introduction to Gen.ai and the Co-Pilot System

      05:11 Development Journey: From Idea to Product

      11:07 Technical Architecture and Scalability Challenges

      17:04 Prompt Engineering: The Art of Asking Questions

      22:28 Evaluating Language Model Responses

      28:32 Security Measures in Internal Applications

      33:54 Data Quality and Management Challenges

      39:39 Measuring Success and User Engagement

      44:59 Cost Considerations in AI Implementation

      --------------------🤗Connect With Us🤗-----------------------

      Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

      Connect with Daniel Engelhardt on LinkedIn:

      https://www.linkedin.com/in/danielengelhardt-entwickler/


      Keywords

      Gen.ai, AI applications, software development, prompt engineering, language models, data quality, user engagement, security measures, hallucinations, cost management


      53 min
    • #8 Siok Siok Tan: Building Sustainable AI

      Summary

      In this conversation, Serop Baghdadlian and Siok Siok Tan explore the evolving landscape of AI, addressing common misconceptions, the importance of the human element in AI development, and the ethical implications of AI technologies.


      They discuss the role of creativity in AI, the impact of social media, and the need for a more inclusive representation of global narratives.


      The conversation emphasizes the gap between knowledge and wisdom in the context of AI advancements and concludes with insights on building sustainable AI for humanity.


      Takeaways

      • AI has become more accessible and less intimidating for the general public.
      • The biggest misconception about AI is that it is magic and can do wonders without proper data.
      • Human involvement is crucial in AI development to ensure ethical implications are considered.
      • Creativity in AI should involve collaboration between humans and machines.
      • AI can generate content, but it lacks the human touch that makes it relatable.
      • Social media algorithms can create echo chambers and reinforce biases.
      • There is a need for more diverse narratives in AI training data.
      • The rapid advancement of AI technology outpaces society's ability to adapt.
      • AI should be nurtured with wisdom rather than just managed as a static technology.
      • Ethical considerations in AI development are essential for its impact on society.


        • Chapters

        00:00 Navigating the AI Landscape

        01:56 Understanding AI Misconceptions

        04:58 The Human Element in AI

        07:54 AI's Role in Creativity

        10:54 The Importance of Human-AI Collaboration

        14:01 Cultural Perspectives on AI

        16:56 The Impact of Social Media on AI

        19:51 How does AI makes us more human

        25:50 The Future of AI and Human Interaction

        28:42 AI Bias Problem

        32:21 Human Wisdom Trying to catch up to AI

        36:55 AI in social media

        43:37 Building sustainable AI

        48:32 Final message to AI practitioners


        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Siok Siok on LinkedIn:

        https://www.linkedin.com/in/sioksiok/

        58 min
      • #7 Monica Sirbu: Navigating Data Challenges in HR

        In this conversation, Monica shares her journey from HR to data analytics, discussing the growing importance of data in HR practices.


        She emphasizes the need for HR professionals to connect their data with business goals and the evolving role of data analytics in improving employee experiences, particularly during onboarding.

        The discussion also covers the challenges faced in HR data analysis, including data privacy concerns and the impact of AI on HR processes.


        Monica highlights the opportunities AI presents for automating repetitive tasks, allowing HR professionals to focus on strategic initiatives and employee engagement.


        keywords: HR, data analytics, career transition, employee experience, AI in HR, onboarding, data-driven decisions, business goals, employee engagement, HR technology.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Monica Sirbu: on LinkedIn:

        https://www.linkedin.com/in/monica-sirbu-b2572914a/

        34 min
      • #6 Alexandra Harmanas: Building Intelligent Discount Generation System

        In this episode, we sit down with Alexandra Harmanas, Senior Data Scientist at Metro.Digital, to explore how AI and data science transform the retail space.


        We discussed a very cool project, how data science can be used for generating customer-oriented discounts for products that are about to expire to generate more sales and minimize loss.


        Alexandra talks about the challenges, and the ways to develop such a system so stay tuned in to gain valuable insights from the forefront of AI in retail.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Alexandra Harmanas on LinkedIn:

        https://www.linkedin.com/in/alexandrapintican/

        48 min
      • #5 Dr. Patrick Bormann: How to build trust in Data Science Solution

        In this episode, we sit down with Dr. Patrick Bormann, Senior Data Scientist at Metro.Digital, to explore how AI and data science are transforming the retail space.


        Dr. Bormann talks about the smart delisting project he is developing and how to build a data science MVP that works!!


        After that, we dive into the challenges and potential dangers of deploying GenAI applications and how to mitigate these dangers.


        Tune in to gain valuable insights from the forefront of AI in retail.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Patrick Bormann on LinkedIn:

        https://www.linkedin.com/in/dr-patrick-bormann-81915a1b1/

        47 min
      • #4: Dr. Robert Kuebler: AI for Intelligent Delisting & Recommendation Systems

        In this episode, we sit down with Dr. Robert Kuebler, Senior Data Scientist at Metro.Digital, to explore how AI and data science are transforming the retail space.


        Dr. Kuebler shares two real-world use cases where he leveraged advanced AI and data science techniques to optimize product assortments and develop powerful recommendation systems for Metro AG, a leading wholesaler.


        We dive into the details of how these recommendation systems work, the metrics used to measure their success, and the best practices for validating machine learning models through rigorous testing.


        Tune in to gain valuable insights from the forefront of AI in retail.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Robert Kuebler on LinkedIn:

        https://www.linkedin.com/in/robert-kuebler/

        41 min
      • #3 - Selma Illig: The different data teams structures

        Selma Illig is a data engineer at Metro.Digital. During her master's thesis, she interviewed many data companies to answer the question, what is the optimal way to structure data teams in a company?


        Which one is better, a centralized or decentralized data team?


        In this podcast, we discuss the advantages and disadvantages of each team topology and the challenges that come up from each.


        We also shed light on the amazing engineering work that is required to deploy customer churn predictions directly to the users.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Selma Illig on LinkedIn: https://www.linkedin.com/in/selmaillig/

        1 hr 2 min
      • #2 - Felix Germaine: Customer Churn Modeling

        Felix Germaine is a data scientist at Metro.Digital. With a strong background in statistics, he implemented interesting machine-learning systems for predicting customers who are about to churn.


        He explains what goes into developing such systems and what are the general challenges that come with working with such big data.


        We talked about how such systems work under the hood, what are the challenges that he faced, and how to overcome these challenges.


        Make sure you join us on this journey and learn more about data science

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Felix Germaine on LinkedIn: https://www.linkedin.com/in/felix-germaine-74407ab2/

        57 min
      • #1 - Dora Petrella: Leading Data Science and Analytics Domain

        In this episode, Dora Petrella talks about her journey from being a data scientist to leading the data science and analytics domain at Metro.digital.

        We discussed the transition, the challenges and rewards of leading a diverse and remote team, and the strategic vision required to drive data science initiatives in a major company.

        Most importantly, we talked about what makes data science projects successful and how to do proper expectation management, especially with all the hype around GenAI that is going on.


        Make sure you join us on this journey and learn from one of the top leaders in the data science industry.

        --------------------🤗Connect With Us🤗-----------------------

        Connect with Serop Baghdadlian on LinkedIn: https://www.linkedin.com/in/serop-b-498332169/

        Connect with Dora Petrelle on LinkedIn: https://www.linkedin.com/in/dora-petrella-968371a6/

        Book Consultation Services: https://serop-ba.github.io/

        1 hr 5 min

      About Founders Hub Berlin

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