Data Driven

Data Driven
Data Driven

Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand. In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.

  1. István Mészáros on going From CERN to Startup & The Cat That Launched a Thousand Queries

    6 DAYS AGO

    István Mészáros on going From CERN to Startup & The Cat That Launched a Thousand Queries

    Welcome to another insightful episode of Data Driven! Today, we're diving into the world of warehouse-native analytics with our special guest, István Mészáros, cofounder of Mitsu. Join us as we explore how Mitsu empowers startups and enterprises with a new approach to data analytics. From his beginnings as a CERN physicist to becoming an open-source evangelist and finally a startup founder, István shares his unique journey through the data industry. We'll discuss the motivation behind Mitsu's distinct branding, reminiscent of Hello Kitty, and why standing out in today's crowded market is crucial. István also reveals the challenges and strategies of building a data company in Europe, and how Mitsu simplifies analytics by offering a self-service solution without the high costs associated with existing market leaders. Timestamps0:00 Introducing István Mészáros 05:30 Shifting Open Source to SaaS 07:46 Lava-Themed Compliance Solutions Brand 10:27 Tech Branding and Hello Kitty Insights 13:46 Optimizing Conversion in Data-Heavy Travel 16:31 Self-Service Analytics Tool Needed 19:17 Automated Product Analytics Tool 23:20 "Budget Constraints and DIY Solutions" 28:17 Freelancer's Efficient Data Solutions 29:08 Open Source Tool Productization Plan 33:13 Navigating Freelance and Startup Challenges 37:19 Transitioning to Data Engineering 42:25 Instant Feedback in Hobbies 43:46 Embracing Feedback in Business Transformation 49:13 "Hoping AI Takes Over Hiring" 51:58 Visit Site for Info & Contact 55:22 "Parenting Boys with Earbuds" 57:25 "Data Driven: Quantum Podcast Relaunch"

    58 min
  2. Barr Moses on How Data Observability Can Save Your Company Millions

    1 APR

    Barr Moses on How Data Observability Can Save Your Company Millions

    On this episode of Data Driven, we welcome Barr Moses, CEO and co-founder of Monte Carlo, as she delves into the fascinating world of data observability. Join hosts Frank La Vigne and Andy Leonard as they explore how reliable data is crucial for making sound business decisions in today's tech-driven world. Learn why a simple schema change at Unity resulted in a $100 million loss and how Monte Carlo is developing cutting-edge solutions to prevent similar disasters. From discussions on ensuring data integrity to the intriguing potential of AI in anomaly detection, Barr Moses shares insights that might just redefine your understanding of data's role in business. Tune in for a podcast that not only uncovers the nuances of data reliability but also touches on the quirky side of tech, like why, according to Google, you should never use superglue to fix slipping cheese on your pizza. Moments00:00 Monte Carlo: Data Reliability Innovator 05:45 "Data & AI Observability Engineering" 09:42 Data Industry's Growing Importance 12:00 Cereal Supply Chain Data Optimization 16:03 Data Observability and Lineage 19:29 GenAI Uncertainties and Latency Concerns 23:17 "Human Oversight in AI Accuracy" 24:12 Data Observability and Human Role 28:01 Adapting to Customer Language 33:29 Data and Security Management Alignment 35:20 Data Reliability and Observability Challenges 38:17 Automated Code Analysis Tool Launch 42:29 Data-Inspired Childhood 44:12 Passionate About Impactful Work 48:52 LinkedIn Security Concerns Highlighted 53:19 "Data Observability Insights"

    54 min
  3. Sanjay Annadate on Data Driven Digital Transformation

    4 MAR

    Sanjay Annadate on Data Driven Digital Transformation

    In this episode, Sanjay joins Frank for a deep dive into the heart of digital transformation and AI-powered automation. Here are some of the key takeaways: Digital Transformation Evolution: Sanjay reflects on his nearly three-decade journey witnessing the digital shift from infancy to the AI-driven present. He outlines the critical components of digital transformation, including cloud adoption and data prioritization, noting significant changes in business focus over recent years.Microsoft's Role: Sanjay provides insights into Microsoft's strategic investments in digital transformation technologies, emphasizing their pivotal role in influencing market trends and industry-specific capabilities.AI-Powered Enhancements: From the widespread adoption of Copilot to the burgeoning concept of agentic AI, Sanjay discusses how AI tools are not replacing but augmenting the productivity of data engineers, offering a glimpse into the future of business processes.Edge of Innovation: We explore how Microsoft Fabric and other technologies are simplifying complex architectures, allowing businesses to leverage multi-cloud strategies effectively, keeping them at the forefront of innovation.Real-Life Impact: Sanjay shares compelling examples, like reducing sales briefing preparation time from four days to two minutes, showcasing the transformative power of AI in real business scenarios. Whether you're a data engineer, business leader, or just someone fascinated by the data-driven world, this episode is packed with valuable insights. Moments00:00 Three Decades of Digital Transformation 05:27 Microsoft's Digital Transformation Dominance 09:37 Microsoft's Cloud Integration Advantage 13:22 Red Hat AI's Open Source Approach 15:33 Microsoft Fabric's Multi-Cloud Integration Strategy 20:01 "Custom Solutions for Complex Queries" 21:39 Content Creation Efficiency Unlocked 26:38 Sales Role Dependency Reduction Tool 30:06 Agentic AI and Workflow Transformation 33:29 "Beyond Basic Automation" 35:05 AI's Impact on Business Expansion 39:58 Data-Driven Problem Solving Impact 41:58 Reading Trends in Data Innovation

    45 min
  4. Lillian Pierson on Revolutionizing Growth Marketing with AI

    6 FEB

    Lillian Pierson on Revolutionizing Growth Marketing with AI

    Andy Leonard and Frank La Vigne delve into the exciting world of AI and growth marketing with the renowned Lillian Pierson. Lillian, a globally recognized AI growth strategist and author. She shares her unique journey from engineering to data science and her role as a fractional CMO. She provides deep insights into leveraging AI to revolutionize marketing and growth strategies, discusses breaking down the barriers in early data science, and explores the rise of agentic AI. This conversation is filled with valuable knowledge, humor, and a reality check on the evolving tech landscape. Tune in to explore how AI and data-driven approaches are transforming industries and why Data Driven is a top pick for AI enthusiasts. Moments00:00 "Interview with AI Expert Lillian Pearson" 04:18 Earning a Professional Engineering License 09:21 Evolution of Data Science Disciplines 11:08 Career Pivot to Success 14:01 Data Strategy and AI Insights 19:19 Marketing's Role in Product Growth 21:58 Customer Advocacy in Product Development 26:16 Exploring AI for Content Automation 28:28 OpenAI Trained on My Style 30:51 Frank's Podcast Automation Expansion 33:22 "Delegation vs. Self-Management Discussion" 37:45 Decoupled, Resilient System Communication 41:57 Clay-Powered Decision Tech Critique 45:41 AI Is Essential in Business 49:09 Debating with ChatGPT's Perspectives 50:23 Google AI: Generative Podcast Tool 56:11 Big Data Fallacies Explored

    1 hr
  5. Dean Guida on AI Insights, Data Analytics, and Business Growth

    28 JAN

    Dean Guida on AI Insights, Data Analytics, and Business Growth

    Today, we've got an exciting episode lined up for you. Hosts Frank La Vigne and Bailey dive deep into the tech universe with Dean Guida, the CEO and founder of Infragistics. Dean brings his 35-year journey and expansive experience in technology to the table, reminiscing about the early days of software development and his transition into the data-driven world. In this conversation, you'll hear about the evolution of Infragistics from building UI components for Windows to creating sophisticated data analytics and AI tools. Dean also shares insights from his new book, "When Grit is Not Enough," focusing on how entrepreneurs can foster agile, data-driven learning organizations. Whether you're a seasoned developer, a budding entrepreneur, or someone fascinated by the intersection of AI and data, this episode promises a wealth of knowledge and inspiration. Join us as we explore technology old and new, from the bygone era of Windows 3.0 to the cutting-edge capabilities of AI today. Plus, hear Dean's personal journey of navigating through various technological and economic shifts over the decades. Make sure to tune in for a discussion that bridges the past, present, and future of tech innovation! Show Notes00:00 35 Years of UI/UX Innovation 06:35 "Simplicity, Beauty, and Conversational AI" 15:29 Enhancing User Trust Through Transparency 19:52 AI-Driven Learning and OKR Management 26:20 Kids Reflecting Tech Evolution 27:12 "AI in Future Work Environments" 33:14 "Data-Driven Leadership and Team Alignment" 38:44 Entrepreneurship Beyond Grinding 48:19 Contextual Understanding in AI Assistants 51:57 Overprotected Generation's Communication Challenges 54:55 Generational Impact of Pandemics 01:00:47 "Data-Driven Podcast: Ranked 38"

    1h 2m
  6. Arjun Patel on Vector Databases and the Future of Semantic Search

    21 JAN

    Arjun Patel on Vector Databases and the Future of Semantic Search

    Today, we delve into the intriguing world of vector databases, retrieval augmented generation, and a surprising twist—origami. Our special guest, Arjun Patel, a developer advocate at Pinecone, will be walking us through his mission to make vector databases and semantic search more accessible. Alongside his impressive technical expertise, Arjun is also a self-taught origami artist with a background in statistics from the University of Chicago. Together with co-host Frank La Vigne, we explore Arjun’s unique journey from making speech coaching accessible with AI at Speeko to detecting AI-generated content at Appen. In this episode, get ready to unravel the mysteries of natural language processing, understand the impact of the attention mechanism in transformers, and discover how AI can even assist in the art of paper folding. From discussing the nuances of RAG systems to sharing personal insights on learning and technology, we promise a session that’s both enlightening and entertaining. So sit back, relax, and get ready to fold your way into the fascinating layers of AI with Arjun Patel on Data Driven. Show Notes00:00 Arjun Patel: Bridging AI & Education 04:39 Traditional NLP and Geometric Models 08:40 Co-occurrence and Meaning in Text 13:14 Masked Language Modeling Success 16:50 Understanding Tokenization in AI Models 18:12 "Understanding Large Language Models" 22:43 Instruction-Following vs Few-Shot Learning 26:43 "Rel AI: Open Source Data Tool" 31:14 "Retrieval-Augmented Generation Explained" 33:58 "Pinecone: Efficient Vector Database" 37:31 "AI Found Me: Intern to Innovator" 41:10 "Impact of Code Generation Models" 45:25 Personalized Learning Path Technology 46:57 Mathematical Complexity in Origami Design 50:32 "Data, AI, and Origami Insights"

    52 min
  7. Niv Braun on AI Security Measures and Emerging Threats

    14 JAN

    Niv Braun on AI Security Measures and Emerging Threats

    In today's episode, we're thrilled to have Niv Braun, co-founder and CEO of Noma Security, join us as we tackle some pressing issues in AI security. With the rapid adoption of generative AI technologies, the landscape of data security is evolving at breakneck speed. We'll explore the increasing need to secure systems that handle sensitive AI data and pipelines, the rise of AI security careers, and the looming threats of adversarial attacks, model "hallucinations," and more. Niv will share his insights on how companies like Noma Security are working tirelessly to mitigate these risks without hindering innovation. We'll also dive into real-world incidents, such as compromised open-source models and the infamous PyTorch breach, to illustrate the critical need for improved security measures. From the importance of continuous monitoring to the development of safer formats and the adoption of a zero trust approach, this episode is packed with valuable advice for organizations navigating the complex world of AI security. So, whether you're a data scientist, AI engineer, or simply an enthusiast eager to learn more about the intersection of AI and security, this episode promises to offer a wealth of information and practical tips to help you stay ahead in this rapidly changing field. Tune in and join the conversation as we uncover the state of AI security and what it means for the future of technology. Quotable Moments00:00 Security spotlight shifts to data and AI. 03:36 Protect against misconfigurations, adversarial attacks, new risks. 09:17 Compromised model with undetectable data leaks. 12:07 Manual parsing needed for valid, malicious code detection. 15:44 Concerns over Agiface models may affect jobs. 20:00 Combines self-developed and third-party AI models. 20:55 Ensure models don't use sensitive or unauthorized data. 25:55 Zero Trust: mindset, philosophy, implementation, security framework. 30:51 LLM attacks will have significantly higher impact. 34:23 Need better security awareness, exposed secrets risk. 35:50 Be organized with visibility and governance. 39:51 Red teaming for AI security and safety. 44:33 Gen AI primarily used by consumers, not businesses. 47:57 Providing model guardrails and runtime protection services. 50:53 Ensure flexible, configurable architecture for varied needs. 52:35 AI, security, innovation discussed by Niamh Braun.

    53 min

About

Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday. The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand. In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.

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