Data Driven

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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 Innovation06:35 "Simplicity, Beauty, and Conversational AI"15:29 Enhancing User Trust Through Transparency19:52 AI-Driven Learning and OKR Management26:20 Kids Reflecting Tech Evolution27:12 "AI in Future Work Environments"33:14 "Data-Driven Leadership and Team Alignment"38:44 Entrepreneurship Beyond Grinding48:19 Contextual Understanding in AI Assistants51:57 Overprotected Generation's Communication Challenges54:55 Generational Impact of Pandemics01:00:47 "Data-Driven Podcast: Ranked 38"
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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 & Education04:39 Traditional NLP and Geometric Models08:40 Co-occurrence and Meaning in Text13:14 Masked Language Modeling Success16:50 Understanding Tokenization in AI Models18:12 "Understanding Large Language Models"22:43 Instruction-Following vs Few-Shot Learning26:43 "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 Technology46:57 Mathematical Complexity in Origami Design50:32 "Data, AI, and Origami Insights"
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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.
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*Live* Tis the Season for SSIS
In this livestream, Frank and Andy discuss the timeless nature of backend enterprise tech, that, much like a Christmas special from decades ago, is still very much celebrated.Moments00:00 Exploring SSIS future in a festive episode.08:28 Data engineering evolved from business intelligence systems.10:57 Social networks project before Facebook's popularity.19:19 SSIS training informed data engineering concepts teaching.24:56 Bill Gates moved project to immature Microsoft tooling.29:10 Data engineering possible in 2024 using T-SQL.35:23 Huge cloud companies surpass previous brick-and-mortar giants.40:10 Old technologies endure; misconceptions about their age.46:03 Evaluate change benefits: technical ease, business growth.52:30 Cloud departure interests rise, SSIS assistance sought.55:47 Big government agency utilizing diverse cloud platforms.01:00:59 Security is crucial; clients' preferences vary.01:08:56 Certification issues hinder software updates and compliance.01:10:02 People stick with older systems for reasons.01:15:15 Proper GPU driver drastically improved loading time.01:22:16 Repost increased engagement and communication with author.01:25:45 Data scientists should learn SQL for simplicity.01:31:06 Obsolete systems cause issues without quotes.
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Inna Tokarev Sela on Approaching Data Challenges with Generative AI
Welcome to another episode of "Data Driven," where we dive into the ever-evolving world of data science, AI, and data engineering. Today's special guest is Inna Tokarev Sela, CEO and founder of Illumix. Join hosts Frank La Vigne, BAILeY, and Andy Leonard as they unpack Inna's groundbreaking insights into generative AI, the future of data management, and the intricacies of AI cost effectiveness.Inna reveals the origin of her company's name, "Illumix," and discusses the pressing risks of 2025, particularly the total cost of ownership for managing generative AI. She highlights the inefficiencies of data customization and proposes a shift towards moving AI closer to the data to reduce costs. Through the unique lens of Illumix’s approach, Inna explains how they aim to illuminate organizational data by using a virtual semantic knowledge graph based on industry ontologies and business logic.Timestamps00:00 Ina Tokarav Sala: CEO of Illumix, AI readiness pioneer.05:57 ROI and data are crucial for decisions.08:56 Intermediate stage: copilots, insights, static dashboards persist.11:12 Illumax targets structured data market, unlike others.14:29 Bad data skews predictive analytics, causing errors.19:48 Data modeling efficiency increases with virtual assistants.22:33 E-commerce evolution: convenient online shopping preferred.25:27 2025's biggest risk: High generative AI costs.27:07 Focus on domain knowledge and metadata utilization.31:44 Predicting patterns is profound, not crazy.36:09 Industry trends are cyclical, like fashion trends.37:49 Repatriating data due to AI cost efficiency.40:47 Data processing everywhere raises security concerns.45:00 Founder freedom: Experimentation unlike SAP's structure.49:11 I'm considered controversial for being very visionary.52:29 Truth's evolution parallels past technological shifts.54:39 Frank's World: Kids show on recycling, BBC.57:09 Thank you, Ina Tokarev Saleh, for insights.
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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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