100 days of data

In Episode 22 of '100 Days of Data,' Jonas and Amy trace the rich history of artificial intelligence—from Alan Turing's foundational question to today’s powerful transformers. They explore key eras including the rise and fall of symbolic AI, the breakthrough of neural networks, and the emergence of deep learning fueled by big data and GPU computing. Major milestones like IBM’s Deep...

In Episode 21 of '100 Days of Data,' Jonas and Amy demystify the world of Artificial Intelligence by breaking down what AI really is—and what it’s not. From its roots in rule-based logic to today’s data-driven machine learning systems, the hosts explore how AI operates, how businesses use it, and why it’s often misunderstood. They clarify common myths, distinguish between Narrow and Gene...

In Episode 20 of '100 Days of Data,' Jonas and Amy explore how cloud data platforms like AWS, Azure, and GCP have made scalable analytics accessible to organizations of all sizes. They discuss how cloud infrastructure replaces costly on-premise systems, allowing businesses to store, process, and analyze massive datasets with ease. Through real-world examples—from retail dashboards to fra...

In Episode 19 of '100 Days of Data,' Jonas and Amy explore the foundational concept of Big Data through the lens of the 5 V’s: volume, velocity, variety, veracity, and value. They discuss how these five elements revolutionized data analytics and AI across industries, illustrating each with practical, real-world examples from healthcare, retail, logistics, and finance. The hosts emphasize...

In Episode 18 of '100 Days of Data,' Jonas and Amy uncover the fundamentals of data mining, exploring how organizations turn vast amounts of information into valuable insights. From uncovering popular product pairings with association rules to detecting fraud through anomaly detection, this episode breaks down key data mining techniques in an engaging and practical way. The duo explains...

In Episode 17 of '100 Days of Data,' Jonas and Amy dive into the essential statistical concepts that underpin effective data analysis. They explain key terms like distributions, averages, and variance in clear, relatable language, illustrating how these tools help businesses uncover trends, measure risk, and make informed decisions. From understanding customer behavior to improving manuf...

In Episode 16 of '100 Days of Data,' Jonas and Amy explore the transformative power of data visualization in analytics. From charts and dashboards to storytelling and interactive tools, they examine how visuals turn raw data into actionable insights. The duo discusses visual cognition, design best practices, and common chart types—breaking down when and why to use them. Real-world exampl...

In Episode 15 of '100 Days of Data,' Jonas and Amy dive into the world of Exploratory Data Analysis (EDA), the essential first step in any data project. With a mix of real-world examples and practical tools, they explore how EDA helps uncover hidden patterns, anomalies, and trends in messy datasets. From visualizing engine failure spikes in the automotive industry to identifying unusual...

In Episode 14 of '100 Days of Data,' Jonas and Amy dive into the world of prescriptive analytics—the analytical approach that goes beyond prediction to recommend specific actions. They explore how optimization, simulation, and decision-making frameworks work together to guide complex business decisions across industries like healthcare, retail, automotive, and finance. From designing sma...

In Episode 13 of '100 Days of Data,' Jonas and Amy explore predictive analytics—the art and science of using data to forecast what might happen next. From sales projections to patient readmission risks, they walk through real-world examples of how forecasting, regression, and other prediction models help businesses make smarter decisions. They break down essential concepts, discuss limit...

In Episode 12 of '100 Days of Data,' Jonas and Amy dive into the world of diagnostic analytics — the step beyond simply knowing what happened to understanding why it happened. They explore how businesses use tools like root cause analysis, variance analysis, and data mining to uncover underlying drivers behind data shifts. Through real-world examples in finance, healthcare, manufacturing...

In Episode 11 of '100 Days of Data,' Jonas and Amy explore descriptive analytics — the vital first step in understanding data. They walk through how summarizing past performance via dashboards, KPIs, and descriptive statistics provides clarity that empowers better business decisions. Through real-world stories in retail, healthcare, and finance, they illustrate how good data and well-des...

In Episode 10 of '100 Days of Data,' Jonas and Amy explore how raw data transforms into actionable insights that drive business value. They unpack the concept of the data value chain—from collection and processing to analysis and insight extraction—and discuss the various forms of data monetization, including direct sales, operational optimization, and creating competitive assets. Real-w...

In Episode 9 of '100 Days of Data,' hosts Jonas and Amy explore the transformative power of metadata—data about data—and why it’s essential for making information searchable, trustworthy, and actionable. Using practical analogies and real-world business examples, they explain how metadata provides context, governs access, enhances searchability, and supports collaboration across teams. F...

In Episode 7 of '100 Days of Data,' Jonas and Amy explore the evolution of data storage — from floppy disks to modern data lakes — and how different storage methods shape AI capabilities. They explain foundational concepts like files, relational databases, data warehouses, and data lakes, using real-world examples from industries like healthcare and automotive. The episode also highlight...

In Episode 6 of '100 Days of Data,' Jonas and Amy delve into the essential process of data collection—the starting point of any AI journey. They explore four major methods: surveys for gathering subjective insights; logs that capture automated digital interactions; sensors that provide real-time physical measurements; and web scraping, a technical way to extract online information. Throu...

In Episode 8 of '100 Days of Data,' Jonas and Amy dive into the world of data formats—those essential structures like TXT, CSV, XML, and JSON that shape how information is stored, shared, and understood in AI systems. They break down the strengths and tradeoffs of each format, from the simplicity of plain text to the hierarchical power of XML and the lightweight flexibility of JSON. The...

In Episode 5 of '100 Days of Data,' Jonas and Amy delve into why data quality is essential to any successful AI initiative. They explore the three foundational pillars of data quality — accuracy, completeness, and consistency — through relatable stories ranging from retail and healthcare to manufacturing and finance. The hosts illustrate how flaws in data can lead to costly mistakes, mis...

In Episode 4 of '100 Days of Data,' Jonas and Amy trace the remarkable evolution of data storage—from ancient clay tablets to modern cloud infrastructure. They explore how civilizations captured and shared information, the origins of formal data systems like relational databases, and the rise of big data and cloud computing. Along the way, they connect historical milestones with today’s...

In Episode 3 of '100 Days of Data,' Jonas and Amy dive into the origins of data, exploring how people, machines, and sensors form the core sources fueling modern AI systems. From human-generated clicks and voice commands to machine logs and real-time sensor readings in IoT devices, the hosts explain how each type contributes uniquely to data-driven decision-making across industries. Real...

In Episode 2 of '100 Days of Data,' Jonas and Amy dive into the foundational concept that not all data is created equal. They explore the three primary types of data—structured, unstructured, and semi-structured—offering real-world examples and insights into how each impacts AI workflows. From neatly organized spreadsheets to messy sensor logs and flexible JSON files, understanding these...

In this kickoff episode of '100 Days of Data,' hosts Jonas and Amy lay the groundwork for understanding data in the modern world, especially its role in AI and business decision-making. They explore the essential distinctions between data, information, and knowledge, emphasizing how raw facts become meaningful insights when properly processed. With real-world examples—ranging from automo...