Shows
Founders Hub Berlin#19 Paul Iusztin: The Truth About LLMOps and Building Real AI SystemsSummaryThis conversation explores the rapid evolution of AI, the complexities of AI roles, the importance of MLOps in deployment, and the challenges faced in implementing AI projects. The speakers share their personal journeys in AI engineering, discuss the balance between custom models and APIs, and emphasize the need for effective data retrieval methods in AI applications. In this conversation, the speakers delve into the complexities of AI, particularly in the context of MLOps and generative AI. They discuss the challenges of ambiguity in AI queries, the evolution of best practices in MLOps, and the importance of...2025-03-1451 minFounders Hub Berlin#18 Ceyhun Derinbogaz: Building a 1M User AI SaaS [Success Story]Summary
In this conversation, Serop Baghdadlian and Ceyhun (Jay) discuss the challenges and rewards of entrepreneurship, particularly in the AI sector. They explore the journey of TextCortex, its innovative solutions for knowledge management, and the importance of compliance in AI development. The discussion also touches on the future of workflow automation and the integration of AI features into existing systems. They also discuss the evolution of AI and automation, focusing on its applications in various industries, including legal and tax sectors. They explore the challenges of trust and accuracy in AI solutions, the impact of AI on...2025-01-2834 minFounders Hub Berlin#17 Maria Vechtomova: How to Correctly Navigate the AI SpaceSummary
In this conversation, Serop Baghdadlian and Maria discuss the evolution of MLOps and AI technologies, and the importance of fundamentals in AI engineering. They explore the complexities of LLM Ops compared to traditional MLOps, the shift in evaluation standards for AI models, and the necessity of a data scientist's mindset when approaching AI projects. In this conversation, Serop Baghdadlian and Maria discuss the complexities and unpredictability of machine learning models, the evolution of MLOps, and the importance of focusing on fundamentals. They explore the challenges of reproducibility in machine learning environments, the journey of creating effective...2025-01-1832 minFounders Hub Berlin#16 Eduardo Ordax: How AI is changing the Tech industrySummary
In this engaging conversation, Serop Baghdadlian and Eduardo Ordax discuss Eduardo's journey in the tech industry, particularly focusing on AI and data. They explore the importance of humor in content creation on platforms like LinkedIn, the challenges businesses face when adopting AI, and the differences in AI adoption between the US and Europe. Eduardo shares insights on the necessity of a solid data strategy for successful AI implementation and the potential risks and regulations surrounding AI technology. In this conversation, Eduardo and Serop discuss the cultural differences in AI adoption between Europe and the U.S...2025-01-1449 minFounders Hub Berlin#15 Ben Feifke: The Ultimate Guide to Building a Data CONSULTANCYSummary
In this conversation, Ben shares his journey from working in data science to becoming an entrepreneur and consultant. He discusses the importance of content creation, finding clients, and the challenges of pricing services. Ben emphasizes the value of analytics over data science in consulting and shares insights on automating his consultancy. He also reflects on personal experiences and the role of content in building trust and authority in the industry. In this conversation, Ben and Serop discuss the intricacies of transitioning from freelancing to agency work, emphasizing the importance of client relationships, offboarding strategies, and legal...2024-12-2146 minFounders Hub Berlin#14 Miguel Otero Pedrido: Deep Dive into AI Agents and how they are Transforming Software DesignSummary
In this engaging conversation, Serop Baghdadlian and Miguel Otero Pedrido explore the fascinating world of AI, focusing on the development of AI agents, their applications, and the overwhelming pace of technological advancements. Miguel shares insights from his YouTube channel, The Neural Maze, and discusses his work in recommender systems and the synergies with GenAI. They delve into the challenges of building a celebrity look-alike app and the importance of reflection patterns in AI agents, providing a comprehensive overview of the current landscape in AI technology. In this conversation, Serop Baghdadlian and Miguel Otero Pedrido delve into...2024-12-1345 minFounders Hub Berlin#13 Jeremy Arancio: Building a Freelance Career in Machine Learning: A 3-year journey into AI and IndependenceSummary
In this conversation, Jeremy shares his journey from being a mechanical engineer to becoming a successful freelancer in data science and machine learning. He discusses the challenges and rewards of freelancing, the importance of building a personal brand, and the realities of working with clients. The conversation also delves into the hype surrounding LLMs and AI, exploring their practical applications and the potential pitfalls of relying too heavily on these technologies. Jeremy emphasizes the need for a solid understanding of the problem at hand and the importance of finding the right solutions, whether through AI or...2024-12-0655 minFounders Hub Berlin#12 Itamar Golan: How Hackers Target LLMs: The Ultimate Security GuideSummary
In this conversation, Itamar Golan, CEO of Prompt Security, discusses the evolving landscape of AI and cybersecurity, focusing on the security challenges posed by large language models (LLMs). He explains various attack vectors, including prompt injection and denial of wallets, and emphasizes the importance of integrating AI securely. The discussion also touches on the role of hallucinations in LLMs, the need for content moderation, and best practices for safeguarding AI applications. Golan highlights the dynamic nature of AI security and the necessity for continuous awareness and adaptation to new threats.
Chapters2024-11-2929 minFounders Hub Berlin#11 Shaw Talebi: 18 Months as a Data Entrepreneur: Lessons, Challenges, and GrowthIn this conversation, Shaw shares his journey from academia to entrepreneurship, detailing his experiences in data science, corporate work, and the challenges of transitioning to freelance and product development. He discusses the importance of community, mentorship, and the iterative process of building products, emphasizing the need for continuous learning and adaptation. Shaw also explores his vision for a venture studio aimed at supporting aspiring entrepreneurs in the data space.
Chapters
00:00 Navigating the Podcasting Landscape
01:48 From Academia to Entrepreneurship
04:36 The Shift from Freelancing to Product Development
07:23 Finding the Right Audience for Educational Offers
10:18 Trial and Error in Entrepreneurship
13:06 Building Products...2024-11-2254 minFounders Hub Berlin#10 Chinar Movsisyan: How to use implicit feedback analytics to optimize LLM appsSummary
In this conversation, Chinar Movsisyan shares her journey in AI, particularly focusing on her work with Feedback Intelligence.
She discusses the challenges of integrating AI in healthcare, the importance of closing the feedback loop in AI applications, and the shift towards using large language models (LLMs) in business.
Chinar emphasizes the need for personalization in AI chatbots and the significance of implicit feedback over explicit feedback. She reflects on her motivations as a founder and the future of AI in solving real-world problems.
2024-11-0238 minFounders Hub Berlin#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...2024-11-0252 minFounders Hub Berlin#8 Siok Siok Tan: Building Sustainable AISummary
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.
2024-10-2257 min
Founders Hub Berlin#7 Monica Sirbu: Navigating Data Challenges in HRIn 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...2024-10-1533 minFounders Hub Berlin#6 Alexandra Harmanas: Building Intelligent Discount Generation SystemIn 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.
...2024-09-0747 minFounders Hub Berlin#5 Dr. Patrick Bormann: How to build trust in Data Science SolutionIn 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.
2024-08-2646 minFounders Hub Berlin#4: Dr. Robert Kuebler: AI for Intelligent Delisting & Recommendation SystemsIn 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. 2024-08-1640 minFounders Hub Berlin#3 - Selma Illig: The different data teams structuresSelma 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...2024-08-091h 01Founders Hub Berlin#2 - Felix Germaine: Customer Churn ModelingFelix 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...2024-08-0156 minFounders Hub Berlin#1 - Dora Petrella: Leading Data Science and Analytics DomainIn 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...2024-07-261h 04