Podcast
100 days of data
Hosted by Sven Sommerfeld · EN
🎙️ 100 Days of Data — Learn, Explore, Evolve
Welcome to 100 Days of Data, a podcast and learning journey exploring how data, AI, and digital transformation are changing the way we live, work, and lead.
Hosted by Sven, a technology and business leader passionate about turning insights into impact, each episode dives into real-world applications of data and artificial intelligence — without the buzzwords.
Here, you’ll find:
1) Thoughtful conversations about AI, analytics, and automation
2) Insights on digital leadership and innovation
3) Reflections on how humans and technology can grow together
4) Practical takeaways you can apply in your own work and learning journey
Whether you’re a data enthusiast, business leader, or just curious about the future, this channel will inspire you to learn something new — one day, one idea, one story at a time.
🔔 Subscribe and join the journey toward a smarter, more data-driven world.
24episodes
Episodes
Newest firstAll episodes
Episode 99 - Advanced Topic: AI + Creativity
Apr 800:07:01Tap to summarizeIn Episode 42 of 100 Days of Data, Jonas and Amy explore JSON.stringify(), the essential JavaScript function that converts complex data structures into JSON strings for seamless data exchange. They explain how this powerful tool packages data like a well-packed suitcase, making it easy to send across systems in formats that are readable and usable. The hosts discuss practical examples from retail, finance, and healthcare, highlighting real-world challenges such as handling functions, circular references, and sensitive information. Listeners learn about the optional replacer and space arguments that customize serialization and improve readability. Jonas and Amy emphasize the importance of understanding JSON.stringify()’s limitations and pairing it with JSON.parse() for effective data workflows, critical for anyone working with APIs or AI projects aiming for scalable, reliable integrations.
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Episode 98 - Advanced Topic: Climate AI
Apr 700:07:12Tap to summarizeIn Episode 12 of '100 Days of Data,' Jonas and Amy demystify JSON.stringify(), a vital JavaScript method that converts complex data objects into JSON strings. They explain how this serialization process enables easy data transfer across systems — from e-commerce shopping carts to connected cars and healthcare apps. The episode covers JSON’s structure, practical use cases, customization options, and common pitfalls like data loss with functions or undefined values. Jonas and Amy also highlight the importance of coupling JSON.stringify() with JSON.parse() for smooth data serialization and deserialization, emphasizing the method’s role as a bridge between human-readable code and machine communication. This insight helps both technical and non-technical listeners understand the invisible data flows powering modern applications and APIs.
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Episode 97 - Advanced Topic: AI in Warfare
Apr 600:06:27Tap to summarizeIn Episode 24 of '100 Days of Data,' Jonas and Amy explore JSON.stringify(), a core JavaScript function that converts complex data structures into JSON-formatted strings. This process, known as serialization, enables seamless data exchange between systems, making data portable and easy to transmit. They discuss its practical applications across industries, from connected vehicle data streaming to secure healthcare communications, highlighting how customization options help balance efficiency and privacy. The conversation also covers common pitfalls, such as handling circular references and limitations like the exclusion of functions during serialization. Ultimately, the episode reveals how JSON.stringify() underpins interoperability in today’s AI and digital ecosystems, empowering businesses to optimize their data workflows and maintain security while scaling operations.
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Episode 96 - Advanced Topic: AI Governance
Apr 300:07:18Tap to summarizeIn Episode 17 of '100 Days of Data,' Jonas and Amy explore the critical role of JSON.stringify() in AI data handling. This JavaScript method converts complex objects into a standardized JSON string format, enabling seamless data exchange across diverse systems. They discuss real-world examples, such as healthcare and automotive industries, highlighting how proper serialization preserves data integrity and prevents costly errors. The episode also covers the advantages of JSON over other formats like XML and CSV, emphasizing its readability, hierarchical structure, and widespread use in APIs and distributed AI computing. Jonas and Amy further explain serialization challenges, practical tips using replacer functions for data privacy, and why mastering JSON.stringify() is essential for building reliable, efficient AI systems.
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Episode 95 - Advanced Topic: Multimodal AI
Apr 200:07:47Tap to summarizeIn Episode 24 of "100 Days of Data," Jonas and Amy demystify JSON.stringify(), a fundamental function that transforms complex data structures into a readable string format. They explain how this serialization process enables seamless data exchange across different systems, highlighting its importance in real-world applications from retail to healthcare and finance. The hosts discuss practical challenges, such as excluding sensitive data and handling unsupported types like functions, while emphasizing JSON’s advantages—simplicity, readability, and broad compatibility. They also touch on customizing serialization and when alternatives may be necessary. By mastering JSON.stringify(), listeners gain a crucial tool for ensuring data clarity, security, and integration efficiency in AI and business environments.
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Episode 94 - Advanced Topic: Synthetic Data
Apr 100:07:28Tap to summarizeIn Episode 17 of '100 Days of Data,' Jonas and Amy explore the vital role of the JavaScript function JSON.stringify() in making data portable and interoperable across systems. They explain how this function converts complex data objects into readable JSON strings, enabling smooth data exchange in diverse domains like automotive manufacturing and healthcare. Beyond its technical basics, the hosts discuss JSON.stringify()’s impact on integration speed, data privacy customization, and overcoming serialization challenges such as circular references. By highlighting how JSON.stringify() supports seamless communication between legacy systems, cloud services, and AI tools, this episode unpacks a foundational concept behind today’s data-driven innovations.
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Episode 93 - Advanced Topic: Federated Learning
Mar 3100:06:30Tap to summarizeIn Episode 12 of 100 Days of Data, Jonas and Amy dive into JSON.stringify(), a crucial tool that transforms complex data structures into standardized JSON strings. They explain how this lightweight format enables smooth data exchange across systems—powering everything from web APIs to retail analytics. The hosts highlight the importance of serialization for consistent, structured, and secure data communication. They also discuss practical challenges like JSON.stringify()’s limitations with functions and date objects, emphasizing the need for careful data design. By understanding JSON.stringify(), listeners will gain insight into how data moves and lives in today’s digital world, setting the stage for confident handling of data serialization in AI and business contexts.
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Episode 92 - Advanced Topic: Edge AI
Mar 3000:07:14Tap to summarizeIn Episode 24 of "100 Days of Data," Jonas and Amy explore the vital JavaScript method JSON.stringify(), which converts complex data structures into JSON-formatted strings for efficient sharing and storage. They discuss how this simple yet powerful function enables smooth data transfer across AI systems and businesses by serializing objects and arrays into text. The hosts highlight practical use cases, such as e-commerce transactions and secure financial data sharing, while also addressing common serialization challenges like handling dates, functions, and special values. Amy and Jonas emphasize the importance of understanding JSON.stringify()’s parameters, like replacers and spacing, to tailor serialization effectively. Overall, this episode illuminates the often-overlooked but essential role JSON.stringify() plays in powering AI workflows and ensuring data integrity in distributed environments.
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Episode 91 - Checkpoint: Case Studies
Mar 2700:08:02Tap to summarizeIn Episode 91 of '100 Days of Data,' Jonas and Amy reflect on the crucial role of JSON and the JSON.stringify() function in AI and business data exchange. They explore how JSON’s lightweight, standardized format transforms complex data structures into readable, interoperable text strings, enabling seamless communication between apps, devices, and AI systems. Through engaging case studies—from healthcare monitoring to banking privacy and logistics tracking—they reveal how mastering JSON serialization enhances data security, efficiency, and collaboration across corporate teams. The hosts also discuss practical considerations like handling circular references and customizing data output to protect sensitive information. Ultimately, this episode emphasizes reflection on proven data practices and how these learnings from the giants of tech can boost AI adoption and drive faster business outcomes.
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Episode 90 - Case Study: Meta
Mar 2600:07:40Tap to summarizeIn this episode of 100 Days of Data, Jonas and Amy explore the vital role of the JSON.stringify() method in AI and data workflows. They explain how this JavaScript function converts complex data objects into JSON strings, enabling seamless data exchange between applications, servers, and storage. From practical examples in finance and automotive industries to challenges like handling non-serializable data types, the hosts uncover how JSON.stringify() preserves data integrity, supports debugging, and optimizes performance. They also discuss customization features and best practices for managing serialized data at scale. Ultimately, this episode highlights how mastering JSON.stringify() strengthens data pipelines and improves the reliability of AI projects across industries.
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