Podcasts about Metadata

Liz Chapman was already super familiar with SEO—for podcasts.She's a podcast manager (and a wickedly good launch strategist!) who happened to fall into the trap that SO many of us service providers do.Y'know… prioritizing everyone else's businesses while watching yours slip further & further down the “To Do” list.

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  21 DECEMBER 2025....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

Hosts Snarfdude and Daffodil bring you Cheezy Music, on the road in a van in a 30 min version of the show in series 2.0  The show is still in production as of this writing. Details at www.cheezepleeze.com  PLAYLIST FOR THIS SHOW: Song List Star Wars (Main Title)-Electric Moog Orchestra Cantina Ban....This item has files of the following types: Archive BitTorrent, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

Hosts Snarfdude and Daffodil bring you Cheezy Music, on the road in a van in a 30 min version of the show in series 2.0  The show is still in production as of this writing. Details at www.cheezepleeze.com  PLAYLIST FOR THIS SHOW: Alternating Current-Ferrante and Teicher Liza-Ferrante and Teicher C....This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

First Sunday in Lent; Sermon based on Galatians 6:6-10. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast Ind....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  1 FEB 2026....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  8 FEB 2026....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  15 FEB 2026....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

Get ready to take your Airtable skills to the next level! In this episode, we dive into the world of metadata management with expert Ali. Learn how to create a custom script to track field and table changes, and discover tips for optimizing your base for the upcoming Airtable Hackathon. Whether you're a seasoned pro or just starting out, this episode is packed with valuable insights to help you master Airtable metadata.

2-hours of live improvised experimental radio sound-art broadcast live from the Chakra Chimp Research Kitchens of Northern California-land.  Netcast on DFM Radio TV International (www.dfm.nu)  DFM RTV INT  25 JAN 2026....This item belongs to: audio/ubradio_salon.This item has files of the following types: AIFF, Archive BitTorrent, Columbia Peaks, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

If your book isn't selling, it may not be your writing.It may be your metadata.In this week's episode of the Novel Marketing Podcast, you'll hear from Dave Chesson, creator of Publisher Rocket, and learn about the hidden engine behind book sales on Amazon.Even if your book is well-written and professionally edited, Amazon doesn't read your book. It reads your metadata. And if your metadata is unclear, inconsistent, or confusing, Amazon won't show your book to readers, even if it's amazing.In this episode you'll learn:What your book's metadata isWhere you can manage it (and make it most effective!)How to include the most effective elements and language in your metadataAnd common metadata mistakes to avoidIf you want your book to show up in search results, convert better when readers click, and avoid the dark recesses of the “miscellaneous shelf,” listen in or read the blog version.Support the show

The billable hour has survived a lot of threats, from alternative fee arrangements to client procurement, but this episode makes the case that AI changes the pressure level. We open with a blunt assessment, time compresses, clients push back, and the old strategy of “work more to earn more” stops scaling. Enter Stefan Cisla, co-founder and CEO of Ayora, who frames the moment as less a tech problem and more an operating model problem. Law firms still place P&L accountability on individual partners who carry deep legal specialization, then ask them to moonlight as revenue managers. Stefan argues firms are starting to replace that fragile setup with tools that support decision-making across pricing, budgeting, and matter management.Stefan's origin story is half high finance, half clinical decision science. He came out of investment banking and professional services transactions, his co-founder Dr. Gordon McKenzie came out of surgery and a PhD path tied to decision science and software. Together they pulled lessons from clinical triage and continuous improvement into the law firm context, focusing on how experts make better decisions under constraints. The hosts tease out the cultural weirdness at the center of the partnership model. Partners often take the long view for client relationships, yet short-term firm economics still take damage through write-offs, scope creep, and messy budgeting. Stefan's pitch is reconciliation, align client-first instincts with firmer, data-backed pricing and project discipline.A core anchor for the conversation is the often-quoted $36 billion annual “value gap,” described as preventable revenue leakage tied to write-offs, weak billing practices, bad data, and poor working capital hygiene. Stefan suggests the number matters less than the trend line. AI pushes a new kind of risk, mispricing innovation. If AI reduces billable hours, firms face a squeeze between steep rate increases and client resistance, then end up forced to express value in new ways. The show leans into a spicy idea, the push to change is no longer only client-driven. Stefan sees rising pressure from inside firms, often from the CFO and operations leaders trying to fund AI investment and protect cash flows in a higher-interest-rate environment. Greg sums it up with the line, “the call is coming from inside the house.”Ayora's product angle lands on two hard truths, pricing tools in legal have a rough track record, and law firm data quality has been a “25-year overnight problem.” Stefan explains why earlier tools struggled, low urgency when billable hours printed money, ugly underlying time and matter data, and products that were either too complex for occasional users or too simplistic for real-world exceptions. Ayora's bet is that the data problem is solvable. Stefan describes adoption as a joint change strategy, with peers inside the firm as allies, and lots of direct conversations with lawyers to build trust in the recommendations. On the “generational gap” question, he leans toward curiosity over age. Some of their heaviest users have plenty of gray hair, and they tend to be the lawyers who care about how a practice runs. For his personal AI usage, Stefan gives an honest founder answer, meal planning for a two-year-old, automating company chores, and using AI as a sparring partner, with Notion as his favorite tool. His crystal ball point is one law firm leaders should underline twice, gross margin dynamics get messier as tech and LLM costs become part of the delivery mix, and the distance between inputs and outputs grows, driving both consolidation pressure and a new wave of innovation. [Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.]⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠Ayora website: ayora.aiLinks:Transcript

Transfiguration of the Lord; Sermon based on Mark 9:2-10. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast I....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Nik and Michael discuss query level comments, object level comments, and another way of adding object level metadata. Here are some links to things they mentioned: Object comments https://www.postgresql.org/docs/current/sql-comment.htmlQuery comment syntax (from an old version of the docs) https://www.postgresql.org/docs/7.0/syntax519.htmSQL Comments, Please! (Post by Markus Winand) https://modern-sql.com/caniuse/comments“While C-style block comments are passed to the server for processing and removal, SQL-standard comments are removed by psql.” https://www.postgresql.org/docs/current/app-psql.htmlmarginalia https://github.com/basecamp/marginaliatrack_activity_query_size https://www.postgresql.org/docs/current/runtime-config-statistics.html#GUC-TRACK-ACTIVITY-QUERY-SIZECustom Properties for Database Objects Using SECURITY LABELS (post by Andrei Lepikhov) https://www.pgedge.com/blog/custom-properties-for-postgresql-database-objects-without-core-patches~~~What did you like or not like? What should we discuss next time? Let us know via a YouTube comment, on social media, or by commenting on our Google doc!~~~Postgres FM is produced by:Michael Christofides, founder of pgMustardNikolay Samokhvalov, founder of Postgres.aiWith credit to:Jessie Draws for the elephant artwork

Hosts Snarfdude and Daffodil bring you Cheezy Music, on the road in a van in a 30 min version of the show in series 2.0  The show is still in production as of this writing. Details at www.cheezepleeze.com  PLAYLIST FOR THIS SHOW: UFO Special Blast Off-Jimmie Haskell Music To Watch Space Girls by-L....This item has files of the following types: Archive BitTorrent, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

Hosts Snarfdude and Daffodil bring you Cheezy Music, on the road in a van in a 30 min version of the show in series 2.0  The show is still in production as of this writing. Details at www.cheezepleeze.com  PLAYLIST FOR THIS SHOW: Want To Hold Your Hand-Enoch Light & Orchestra Come Together & Hey J....This item has files of the following types: Archive BitTorrent, Item Tile, JPEG, JPEG Thumb, Metadata, PNG, Spectrogram, VBR MP3

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube.Timestamps00:00 Introduction to Knowledge Graphs and Ontologies01:09 The Importance of Ontologies in AI04:14 Philosophy's Role in Knowledge Management10:20 Debating the Relevance of RDF15:41 The Distinction Between Knowledge Management and Knowledge Engineering21:07 The Human Element in AI and Knowledge Architecture25:07 Startups vs. Enterprises: The Knowledge Gap29:57 Deterministic vs. Probabilistic AI32:18 The Marketing of AI: A Historical Perspective33:57 The Role of Knowledge Architecture in AI39:00 Understanding RDF and Its Importance44:47 The Intersection of AI and Human Intelligence50:50 Future Visions: AI, Ontologies, and Human BehaviorKey Insights1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems.2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information.3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource Description Framework), which emerged from DARPA research and provides the technical foundation for building knowledge graphs and ontologies. The origin story involved solving simple but important problems, like disambiguating whether "Cook" referred to a verb, noun, or a person's name at an academic conference.4. Symbolic AI and Neural Networks Represent Complementary Approaches Like Fast and Slow Thinking. Drawing on Kahneman's "thinking fast and slow" framework, LLMs represent the "fast brain"—learning monsters that can process enormous amounts of information and recognize patterns through natural language interfaces. Symbolic AI and knowledge graphs represent the "slow brain"—capturing actual knowledge and facts that can counter hallucinations and provide deterministic, explainable reasoning. This complementarity is driving the re-emergence of neuro-symbolic AI, which combines both approaches. The fundamental distinction is that symbolic AI systems are deterministic and can be fully explained, while LLMs are probabilistic and stochastic, making them unsuitable for applications requiring absolute reliability, such as industrial robotics or pharmaceutical research.5. Knowledge Architecture Remains Underappreciated Despite Powering Major Enterprises. While machine learning engineers currently receive most of the attention and budget, knowledge graphs actually power systems at Netflix (the economic graph), Amazon (the product graph), LinkedIn, Meta, and most major enterprises. The technology has been described as "the most astoundingly successful failure in the history of technology"—the semantic web vision seemed to fail, yet more than half of web pages now contain RDF-formatted semantic markup through schema.org, and every major enterprise uses knowledge graph technology in the background. Knowledge architects remain underappreciated partly because the work is cognitively difficult, requires talking to people (which engineers often avoid), and most advanced practitioners have PhDs in computer science, logic, or philosophy.6. RDF's Simple Subject-Predicate-Object Structure Enables Meaning and Data Linking. Unlike relational databases that store data in tables with rows and columns, RDF uses the simplest linguistic structure: subject-predicate-object (like "Larry knows Stuart"). Each element has a unique URI identifier, which permits precise meaning and enables linked data across systems. This graph structure makes it much easier to connect data after the fact compared to navigating tabular structures in relational databases. On top of RDF sits an entire stack of technologies including schema languages, query languages, ontological languages, and constraints languages—everything needed to turn data into actionable knowledge. The goal is inferring or articulating knowledge from RDF-structured data.7. The Future Requires Decoupled Modular Architectures Combining Multiple AI Approaches. The vision for the future involves separation of concerns through microservices-like architectures where different systems handle what they do best. LLMs excel at discovering possibilities and generating lists, while knowledge graphs excel at articulating human-vetted, deterministic versions of that information that systems can reliably use. Every one of Swanson's 300 podcast interviews over ten years ultimately concludes that regardless of technology, success comes down to human beings, their behavior, and the cultural changes needed to implement systems. The assumption that we can simply eliminate people from processes misses that huma...

5th Sunday after Epiphany; Sermon based on Mark 5:21–43. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast ....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

4th Sunday after Epiphany; Meditation based on Micah 6:8 and Amos 5:21-24. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, A....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

In the era of agentic AI, attention has largely focused on data itself, while metadata has remained a neglected concern. Junping (JP) Du, founder and CEO of Datastrato, argues that this must change as AI fundamentally alters how data and metadata are consumed, governed, and understood. To address this gap, Datastrato created Apache Gravitino, an open source, high-performance, geo-distributed, federated metadata lake designed to act as a neutral control plane for metadata and governance across multi-modal, multi-engine AI workloads. Gravitino achieved major milestones in 2025, including graduation as an Apache Top Level Project, a stable 1.1.0 release, and membership in the new Agentic AI Foundation. Du describes Gravitino as a “catalog of catalogs” that unifies metadata across engines like Spark, Trino, Ray, and PyTorch, eliminating silos and inconsistencies. Built to support both structured and unstructured data, Gravitino enables secure, consistent, and AI-friendly data access across clouds and regions, helping enterprises manage governance, access control, and scalability in increasingly complex AI environments.Learn more from The New Stack about how the latest data and metadata are consumed, governed, and understood: Is Agentic Metadata the Next Infrastructure Layer?Why AI Loves Object StorageThe Real Bottleneck in Enterprise AI Isn't the Model, It's ContextJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

4th Sunday after Epiphany (Snow Day worship); Sermon based on Matthew 5:1-12. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

פרק מספר 511 של רברס עם פלטפורמה, שהוקלט ב-18 בינואר 2026. אורי ורן מקליטים בכרכור (הגשומה והקרה) ומארחים את נמרוד וקס - CPO ו-Co-Founder של BigID - שחצה את כביש 6 בגשם זלעפות כדי לדבר על אתגרים טכנולוגיים בעולם המופלא של Data Production ו-Security.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop welcomes Roni Burd, a data and AI executive with extensive experience at Amazon and Microsoft, for a deep dive into the evolving landscape of data management and artificial intelligence in enterprise environments. Their conversation explores the longstanding challenges organizations face with knowledge management and data architecture, from the traditional bronze-silver-gold data processing pipeline to how AI agents are revolutionizing how people interact with organizational data without needing SQL or Python expertise. Burd shares insights on the economics of AI implementation at scale, the debate between one-size-fits-all models versus specialized fine-tuned solutions, and the technical constraints that prevent companies like Apple from upgrading services like Siri to modern LLM capabilities, while discussing the future of inference optimization and the hundreds-of-millions-of-dollars cost barrier that makes architectural experimentation in AI uniquely expensive compared to other industries.Timestamps00:00 Introduction to Data and AI Challenges03:08 The Evolution of Data Management05:54 Understanding Data Quality and Metadata08:57 The Role of AI in Data Cleaning11:50 Knowledge Management in Large Organizations14:55 The Future of AI and LLMs17:59 Economics of AI Implementation29:14 The Importance of LLMs for Major Tech Companies32:00 Open Source: Opportunities and Challenges35:19 The Future of AI Inference and Hardware43:24 Optimizing Inference: The Next Frontier49:23 The Commercial Viability of AI ModelsKey Insights1. Data Architecture Evolution: The industry has evolved through bronze-silver-gold data layers, where bronze is raw data, silver is cleaned/processed data, and gold is business-ready datasets. However, this creates bottlenecks as stakeholders lose access to original data during the cleaning process, making metadata and data cataloging increasingly critical for organizations.2. AI Democratizing Data Access: LLMs are breaking down technical barriers by allowing business users to query data in plain English without needing SQL, Python, or dashboarding skills. This represents a fundamental shift from requiring intermediaries to direct stakeholder access, though the full implications remain speculative.3. Economics Drive AI Architecture Decisions: Token costs and latency requirements are major factors determining AI implementation. Companies like Meta likely need their own models because paying per-token for billions of social media interactions would be economically unfeasible, driving the need for self-hosted solutions.4. One Model Won't Rule Them All: Despite initial hopes for universal models, the reality points toward specialized models for different use cases. This is driven by economics (smaller models for simple tasks), performance requirements (millisecond response times), and industry-specific needs (medical, military terminology).5. Inference is the Commercial Battleground: The majority of commercial AI value lies in inference rather than training. Current GPUs, while specialized for graphics and matrix operations, may still be too general for optimal inference performance, creating opportunities for even more specialized hardware.6. Open Source vs Open Weights Distinction: True open source in AI means access to architecture for debugging and modification, while "open weights" enables fine-tuning and customization. This distinction is crucial for enterprise adoption, as open weights provide the flexibility companies need without starting from scratch.7. Architecture Innovation Faces Expensive Testing Loops: Unlike database optimization where query plans can be easily modified, testing new AI architectures requires expensive retraining cycles costing hundreds of millions of dollars. This creates a potential innovation bottleneck, similar to aerospace industries where testing new designs is prohibitively expensive.

Are you ready to take your podcast from a passion project to a monetization-based international business advertising/marketing tool? In this comprehensive episode, host Favour Obasi-ike, MBA, MS delivers an in-depth masterclass on leveraging podcast SEO and monetization strategies for international business growth. This session is the final installment in a series focused on helping podcasters and business owners build sustainable, globally-reaching content strategies.Favour explores the critical intersection of podcasting, search engine optimization, and international business development. The episode covers essential topics including multilingual content localization, performance benchmarks, download metrics, and how to position podcasts for passive monetization through advertising networks.Key highlights include real-world success stories from clients who have transformed their podcasts into powerful SEO assets, including a case study of turning 50 podcast episodes into 50 optimized blog posts that now rank on Google's AI-powered search results. Favour also demonstrates how his own podcast appears in Google's featured snippets and AI mode results, providing concrete proof of the strategies discussed.The episode features interactive discussions with community members Juliana, Celeste, and others who share their own experiences with SEO implementation, AI optimization (AIO), and the tangible business results they've achieved. Juliana shares an exciting success story about landing a major client through Google Gemini recommendations, directly attributable to SEO work completed three years prior with FavourThis episode is essential listening for podcasters, content creators, coaches, consultants, and international business owners who want to understand how to build long-term digital assets, increase discoverability across global markets, and create multiple revenue streams through strategic content optimization.Need to Book An SEO Discovery Call for Advertising or Marketing Services?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats OnlineWhat You'll Learn:International SEO Fundamentals: How to optimize your podcast content for multiple languages, regions, and search engines (Google.com, Google.co.uk, and beyond).Monetization Metrics That Matter: Understanding downloads vs. unique listeners, 7-day and 30-day performance benchmarks, and what advertising networks look for.Multilingual Content Strategy: Leveraging localization and translation features to expand your audience across different cultures and languages.Podcast-to-Blog Conversion: The proven method of turning podcast episodes into SEO-optimized blog posts that rank on Google and drive traffic back to your audio content.AI Optimization (AIO): How to position your content to appear in Google's AI mode, featured snippets, and AI-powered recommendation engines like Google Gemini.Real Results: Case studies including a client whose emotional coaching podcast now ranks on Google, and a CPA who landed a major client through Gemini AI recommendations.Long-Term Asset Building: Why SEO is a marathon, not a sprint, and how work done today pays dividends for years to come.Detailed Episode TimestampsIntroduction & Overview (00:00 - 05:55) 00:00 - 00:13: Episode title: "Podcast SEO Monetization for International Businesses". 00:13 - 00:45: Welcome and call to subscribe to We Don't Play Podcast. 00:45 - 01:27: Overview: International business connections through podcasting. 01:27 - 02:31: Performance benchmarks: Downloads vs. unique listeners, measuring success. 02:31 - 03:33: Building sustainable growth and niche dominance. 03:33 - 04:48: Multilingual content and localization strategies. 04:48 - 05:55: International perspective: Moving beyond regional thinking.International SEO Strategy (05:55 - 10:03) 05:55 - 06:58: Analytics insights: Tracking international audience growth. 06:58 - 08:04: Case study introduction: Client success with emotional coaching podcast. 08:04 - 09:09: Turning 50 podcast episodes into 50 SEO-optimized blogs. 09:09 - 10:03: Podcast-to-blog strategy and long-term asset building.Content Conversion & Client Success Stories (10:03 - 15:00) 10:03 - 11:00: Amazon book-to-podcast conversion strategy. 11:00 - 12:00: Passive vs. active content consumption patterns. 12:00 - 13:00: Multi-platform distribution: Spotify, Apple Podcasts, YouTube. 13:00 - 14:00: Clubhouse as a content creation and community building platform. 14:00 - 15:00: Real-time engagement and relationship building.Technical SEO Implementation (15:00 - 20:00) 15:00 - 16:00: Search engine algorithms and content discoverability. 16:00 - 17:00: Metadata optimization for podcasts. 17:00 - 18:00: Location-specific SEO strategies. 18:00 - 19:00: Building booking systems and conversion pathways. 19:00 - 20:00: Creating "red carpet" experiences for potential clients.Monetization Strategies (20:00 - 25:00) 20:00 - 21:00: Advertising network requirements and download thresholds. 21:00 - 22:00: Passive income through podcast monetization. 22:00 - 23:00: Building credibility through consistent content. 23:00 - 24:00: Long-term revenue stream development. 24:00 - 25:00: International market opportunities.Community Engagement & Live Discussion (25:00 - 30:00) 25:00 - 26:22: Community building on Clubhouse since 2020. 26:22 - 27:40: Prayer and intentionality in content creation. 27:40 - 28:40: Daily room commitment and audience engagement. 28:40 - 29:19: Juliana's Success Story: Landing a major CPA client through Google Gemini. 29:19 - 30:00: AI Optimization (AIO) and its importance.AI-Powered Search Results (30:00 - 35:00) 30:00 - 31:11: SEO as a long-term investment: Results from work done 3 years ago. 31:11 - 32:30: Live Demonstration: Host's podcast appearing in Google AI mode with timestamp references. 32:30 - 33:50: Dual focus: Local search dominance + global revenue streams. 33:50 - 34:30: International markets and currency considerations (Shopify example). 34:30 - 35:00: Technical factors: IP address, API, LLM, search history.Actionable Strategies & Takeaways (35:00 - 39:07) 35:00 - 35:50: Being intentional about topics of interest. 35:50 - 36:20: Importance of independent research and validation. 36:20 - 37:18: Celeste's Reflection: Community value and 2026 goals. 37:18 - 38:00: Top 3 priorities: Booking system, financial management, business structure. 38:00 - 38:46: Encouragement and resources for implementation. 38:46 - 39:07: Closing remarks and invitation to daily rooms.This episode is perfect for:Podcasters looking to monetize their content.International business owners seeking global visibility.Coaches and consultants building authority online.Content creators wanting to maximize their reach.Marketers interested in AI optimization strategies.Episode Tags/KeywordsPodcast SEO, International Business, Podcast Monetization, Multilingual Content, Content Localization, AI Optimization, AIO, Google Gemini, Featured Snippets, Download Metrics, Passive Income, Content Repurposing, Blog Strategy, Digital Marketing, Search Engine Optimization, Global Revenue Streams, Podcast Analytics, Advertising Networks, Authority Building, Long-term Strategy, Clubhouse Marketing, Community Building, Business Growth, Online Visibility, International Markets.Target AudiencePodcasters seeking monetization strategies.International business owners.Digital marketers and SEO professionals.Coaches and consultants.Content creators and influencers.Entrepreneurs building online presence.Small business owners expanding globally.Marketing professionals learning AI optimization.Anyone interested in passive income through content.This episode is part of the We Don't PLAY!™️ Podcast series, hosted by Favour Obasi-Ike, focusing on practical digital marketing strategies for business growth.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

3rd Sunday after Epiphany; Sermon based on Mark 1:21-32. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast In....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Podcast SEO and monetization strategies tailored for local businesses is today's episode discussion. Favour Obasi-ike emphasizes the importance of metadata, noting that elements like podcast titles, descriptions, and author names serve as critical search signals for discovery.By treats these fields as structured data, creators can establish local authority and ensure their content surfaces in specific user queries across platforms like Spotify and Apple Podcasts.The source further highlights the compounding value of backlinking, explaining how consistent episode releases create a vast network of searchable links that drive traffic back to a brand's website. Ultimately, the text argues that a well-optimized podcast acts as a long-term intellectual property asset that builds credibility and solves audience problems through searchable, evergreen audio content.In the 2026 search ecosystem, local visibility is no longer a matter of chance; it is a matter of engineering. This episode serves as a strategic blueprint for local businesses to command "page dominance" by transforming audio content into a high-authority digital asset. By deploying a "spread map" strategy—scaling influence from local roots to international authority—business owners can ensure their brand is the definitive answer to specific consumer queries.The objective is to move beyond the "hobbyist" mindset and treat podcasting as a capital-efficient SEO machine. We explore how to build an "engine" that runs independently via technical metadata and RSS syndication, allowing your brand to reside permanently in the search database.Key Takeaways for Local Business Owners1. Metadata is Your Search ID: Your title, author field, and description must match the exact phrases your customers use. If your "ID" doesn't match the search query, the algorithm cannot process your "legal documents," and your business remains invisible.2. Exploit the 50x50 Rule: Syndication is a volume game. By appearing on 50 platforms, you create thousands of high-authority backlinks. This sheer volume of structured data makes your brand unavoidable in local searches.3. Implementation over Information: ROI is the result of action, not note-taking. Podcasting is a long-term index fund for your brand; the earlier you start the "audio documentation," the more interest your digital legacy accrues. Move from "doer" to "architect" today.Need to Book An Appointment?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats OnlinePodcast Timestamps[00:00:00] – The Spread Map: Establishing the strategic journey from local business to international brand authority.[00:03:00] – Statistical Authority: Reviewing personal benchmarks (600 episodes, 156 countries) as a model for growth.[00:06:00] – The Harry Potter Paradox: Why naming your show for the "benefit" is the only way to be found before you are famous.[00:10:00] – The Psychology of Blue Links: Why "Blue Links" signify trust and confidence in the search results.[00:14:00] – Spotify Signal Case Study: Using the phrase "workout habits for men over 40" to identify exact-match search signals.[00:22:00] – Compounding Link Math: The 50x50 breakdown of how to generate 2,500 links across platforms like SiriusXM and iHeart.[00:31:00] – The Celese Interaction: Overcoming ADHD and task-paralysis by choosing documentation over perfection.[00:45:00] – The Legacy Challenge: Transitioning from a task-based worker to a legacy-based brand architect.The Mathematics of Syndication & The "Compounding Effect"Strategic dominance is a function of Depth and Cadence. While frequency is important, "Depth" is determined by your average episode length. A 60-minute episode provides sixty times more data points for an algorithm to index than a one-minute clip.The true ROI of podcasting is found in the Compounding Link Formula:50 Episodes (One year of weekly audio documentation) x 50 Distribution Platforms (Apple, Spotify, SiriusXM, Podchaser, Castbox, iHeart, etc.) = 2,500 High-Authority BacklinksThis volume creates a "digital balloon that never pops." As you add more helium (content), the structure becomes stiffer and more secure. To maximize this, maintain a Cadence (release cycle) closer to "1" (daily). A faster cadence spins the RSS feed more frequently, signaling to search engines that your brand is an active, relevant authority.The following 15 monetization levers are the tactical parameters required to convert conversational documentation into long-term ROI and a lasting digital legacy.Episode Breakdown on the 15 Monetization StrategiesPART 1: CORE DISCOVERY METADATA (Your Digital ID Card)1. Podcast TitleExecution: Match the show name to the specific topic or core benefit your audience seeks.So What? Listeners search for solutions and interests, not your name. A descriptive title ensures discoverability in search before you have a famous brand.2. Podcast DescriptionExecution: Exploit the full ~4,000-character limit as a "Search Bank." Use refined keywords, clear value propositions, and a strong call-to-action.So What? This is your show's primary Search ID. If it doesn't match user queries, algorithms can't "read" or rank your content effectively.3. Author/Host FieldExecution: Strategically expand your name with professional identifiers (e.g., "Alex Chen | Venture Capital Analyst").So What? This data feeds APIs and LLMs, establishing your niche authority within recommendation systems and digital assistants.4. Genre & Category SelectionExecution: Use platform hierarchies (e.g., ListenNotes, Apple) to select precise Primary, Secondary, and Tertiary categories.So What? Correct categorization moves you from competing with millions of general shows to dominating a specific, interested listener ecosystem.5. Episode TitleExecution: Adopt a clear, "Guest-First" or "Topic-First" naming convention (e.g., "Dr. Sarah Lee: The Neuroscience of Sleep").So What? It maximizes clarity for listeners and SEO. A guest's name at the front captures their audience and amplifies "link juice" to that episode URL.6. Episode DescriptionExecution: Implement web-style formatting: use H2/H3 headers, bullet points, timestamps, and hyperlinks to key resources.So What? Structured data helps both listeners scan and bots "dissect" your content, boosting engagement metrics and canonical linking power.PART 2: VISUAL & TECHNICAL EXECUTION7. Podcast Cover ArtExecution: Command professionalism with compliant, 3000 x 3000 pixels, visually simple art that is legible at thumbnail size.So What? High-quality, optimized art provides an immediate competitive edge against the significant portion of shows using amateur visuals.8. Episode Cover Art (Optional but Powerful)Execution: For key interviews, create guest-centric visuals that differ from your main show art.So What? Visual differentiation in a subscriber's feed signals unique, fresh value, increasing click-through rates for specific high-interest topics.9. Ad Roll PlacementsExecution: Strategically engineer ad breaks: pre-roll (for direct response), mid-roll (for highest attention), post-roll (for brand storytelling).So What? These are primary monetization vehicles. Placement affects listener retention and ad performance by capturing attention at different psychological stages.10. RSS Feed ManagementExecution: Balance your public RSS feed with private, gated feeds (via platforms like Hello Audio or Supercast) for bonus or premium content.So What? Private feeds enable direct community monetization and foster loyalty by delivering exclusive, "trust-based" content to high-value subscribers.PART 3: DISTRIBUTION & AMPLIFICATION11. Email & Affiliate LeverageExecution: Use automated tools to turn podcast transcripts into newsletter content that drives traffic to affiliate offers or key resources.So What? This captures high-intent listeners where they live (their inbox), converting passive listening into measurable action.12. Social Media DistributionExecution: Systematically cross-post short, thematic audio clips (with captions and video) to platforms like LinkedIn and Instagram.So What? It transforms one hour of recording into weeks of "top-of-funnel" awareness, building connection volume and attracting new audiences.13. Backlink GenerationExecution: Understand that every major hosting platform (Spotify, Apple) creates a backlink to your website from your show profile.So What? This generates vital "link juice" from high-authority domains, strengthening your primary website's search engine ranking.14. Website Integration & AnalyticsExecution: Host a dedicated podcast page on your site and connect it to Google Search Console.So What? This allows you to track how people find and interact with your podcast via search, providing data to refine your topic and keyword strategy.15. Sonic Branding (Musical Intelligence)Execution: Deploy a distinct instrumental theme for each season or series.So What? A fresh sonic identity signals a new "era" or focus for your show, boosting production value and maintaining listener retention through auditory novelty.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Today's data landscape spans a vast range of information systems, from the warehouse to the edge, SaaS to on-prem. The average enterprise manages hundreds of applications and scores of databases. Making sense of all that data requires an understanding of what data exists, where it lives, who owns it, how it's actually being used, and increasingly, what it means in different business and analytical contexts. The glue that keeps this all together? Metadata—and the semantics layered on top of it! Register for this episode of DM Radio to learn how the OpenMetadata project has become a trusted foundation for organizations looking to make sense of their data estates, and how it is evolving beyond passive documentation into a living system of meaning and intelligence.  Host Eric Kavanagh will interview Suresh Srinivas, CEO and Co-Founder of Collate, and Sriharsha Chintalapani, CTO and Co-Founder of Collate, who will explain how OpenMetadata facilitates the synthesis of a wide range of information systems, and how Collate is helping organizations operationalize that foundation into governed, AI-ready data and semantic intelligence. Also joining the call will be AI Industry Analyst Mark Madsen of Third Nature, who will explain the wide-ranging value offered by the OpenMetadata platform for data and AI initiatives.  Attendees will learn:  * Why metadata provides the semantic control plane for modern, highly distributed data estates; and how it enables shared meaning across hundreds of applications, databases, and pipelines; * How OpenMetadata creates a unified system of record for data assets, ownership, lineage, quality, and usage across cloud, on-prem, SaaS, and edge environments; * What "active metadata" really means in practice, and how it becomes more powerful when enriched with business semantics and intent to support faster analytics, AI readiness, governance, and operational decision-making; * How organizations are using OpenMetadata to break down silos, improve trust in data, and reduce friction between data engineering, analytics, and business teams; * Why metadata has become foundational for AI, automation, and agentic systems, serving as the context-and-meaning layer that turns raw data into actionable intelligence for both people and AI systems.

Disinformation expert Craig Silverman joins the crew to break down why AI makes scams and fake news easier, faster, and nearly impossible to spot—while Big Tech quietly profits. If you think spotting digital deception is tough now, wait until you hear how deep the rabbit hole goes. Claude Code Indonesia and Malaysia block Grok over non-consensual, sexualized deepfakes Apple taps Google to power a new Siri and future AI tools Introducing Cowork "In China, driverless delivery vans have become a total meme, they plow through crumbling roads, fresh concrete, motorcycles, anything. Nothing stops them." : r/SelfDrivingCars Meta refocuses on AI hardware as metaverse layoffs begin Creepy Link Matthew McConaughey has secured eight trademarks of himself from the USPTO in the past several months to protect his likeness and voice from unauthorized AI use Senate Passes a Bill That Would Let Nonconsensual Deepfake Victims Sue X says Grok will no longer edit images of real people into bikinis Newsom Vows to Stop Proposed Billionaire Tax in California J.R.R. Tolkien, Using a Tape Recorder for the First Time, Reads from The Hobbit for 30 Minutes (1952) | Open Culture Digg launches its new Reddit rival to the public Postal Arbitrage New protein tests The Traitors Season 4 WikiFlix MTV REWIND - 33,000+ Music Videos • Zero Ads • Zero Algorithms 'A bombshell': doubt cast on discovery of microplastics throughout human body Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Craig Silverman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: Melissa.com/twit zscaler.com/security

Discover how to leverage AI recommendations for your Amazon product using GEO-targeted tactics, including PRs, Reddit mentions, website files, and listing/image optimization. Plus, PPC-only launch wins.

Baptism of the Lord; Sermon based on Acts 10:34-43 and Matthew 3:13-17. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audi....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Most organizations are sitting on mountains of documents, PDFs, emails, and images they still cannot fully search, organize, or understand.In this episode of IT Visionaries, host Chris Brandt sits down with Tim McIntire, CTO of Hyland, to unpack why unstructured data is still one of the biggest blockers between AI hype and real results. Tim breaks down why so many companies struggle to access the content they already have and what it really takes to make that information usable, trustworthy, and valuable.From building content that is ready for AI to unlocking new context-aware agents and improving governance and transparency, Tim explains how leading organizations are finally turning everyday content into real business impact and why the future of enterprise AI starts with cleaning up what is already in the basement. Key Moments:02:36 - What Hyland Actually Does04:18 - Why 80% of Enterprise Data Is Unusable06:46 - From 30,000 Manual Indexes to Automation07:47 - Vectorization: Making Documents AI-Ready09:45 - The ROI of Eliminating Mundane Work10:55 - AI vs RPA: Why Intelligence Changes Everything13:23 - Federate Don't Migrate: Meeting Customers Where They Are16:29 - Governance Can't Be an Afterthought18:11 - The Explainability Breakthrough20:10 - Day 1 to Day 90: Faster Time to Value22:56 - Enterprise Agent Mesh Explained24:06 - Context Engineering: The New AI Superpower26:36 - Confidence Scores: When Humans Step In28:12 - Right Model for the Right Job31:00 - The 18-Month Prediction: Agents Everywhere -- This episode of IT Visionaries is brought to you by Meter - the company building better networks. Businesses today are frustrated with outdated providers, rigid pricing, and fragmented tools. Meter changes that with a single integrated solution that covers everything wired, wireless, and even cellular networking. They design the hardware, write the firmware, build the software, and manage it all so your team doesn't have to.That means you get fast, secure, and scalable connectivity without the complexity of juggling multiple providers. Thanks to meter for sponsoring. Go to meter.com/itv to book a demo.---IT Visionaries is made by the team at Mission.org. Learn more about our media studio and network of podcasts at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Second Sunday of Christmas; Sermon based on Isaiah 60:1-6 and Matthew 2:1-12. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

First Sunday Of Christmas; Sermon based on Luke 2:22-40. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast In....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Christmas Eve Worship; Sermon based on Isaiah 9:2,6-7, Luke 1:26-35, Matthew 1:18-21, Matthew 2:1-2,7-10, Luke 2:8-14, and Luke 2:1-7. Delivered at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn)....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Fourth Sunday in Advent; Sermon based on Isaiah 7:10-16 and Matthew 1:18-25. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon,....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

How to Write Catchy Titles, Descriptions, and High-Impact Headlines for your websites, email marketing, social media marketing, Pinterest SEO, and more with Favour Obasi-Ike | Sign up for exclusive SEO insights.Episode Summary:In this comprehensive episode + guide on crafting effective digital headlines, titles, and descriptions to boost online engagement. The speaker emphasizes that metadata acts as the essential context for content, serving as the primary factor that drives click-through rates across platforms like Google, YouTube, and LinkedIn. Strategic advice includes maintaining a title length of approximately 55 to 65 characters to avoid text truncation while maximizing visual impact. I also recommend using odd numbers, brackets, and power words to leverage psychological triggers that improve visibility and user trust. Finally, the discussion frames intentional copywriting as a vital tool for business owners to transform passive web traffic into active conversions and long-term brand authority.In high-level digital strategy, titles, descriptions, and headlines are not merely decorative—they serve as the essential "key frames" of metadata. This content architecture bridges the gap between raw information and audience discovery by providing the necessary context (Author, Host, Duration, and Intent) that search algorithms require to categorize an asset. By transforming raw content into searchable, high-value assets, a strategist ensures that the brand is prioritized within the user's search journey.Favour emphasizes that structured delivery and architectural integrity correlate directly to business results. If a title fails to establish immediate relevance, the conversion path is broken before it begins. Success in the current landscape requires a commitment to iterative improvement—ensuring the "next version" of a title or metadata set is systematically optimized based on data rather than intuition. This log details the tactical framework used by Favour, currently ranked #2 (We Don't PLAY!) on the FeedSpot Top 100 Marketing Podcasts (trailing only Gary Vaynerchuk), to drive visibility across SEO, PPC, and email ecosystems.Deep Dive: The Quantitative Science of Click-Through Rates (CTR)To maximize ROI, content creators must move beyond "gut feeling" and toward research-backed optimization. Using industry benchmarks from Orbit Media and Moz, we can calibrate headlines to meet the psychological triggers that drive user action.-------------------------------------------------------------------------Next Steps for Digital Marketing + SEO Services:>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Visit our Work and PLAY Entertainment website to learn about our digital marketing services.>> Visit our Official website for the best digital marketing, SEO, and AI strategies today!>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need SEO Services? Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-------------------------------------------------------------------------Timestamps[00:00] Catchy Titles vs. Structure; Metadata as the "Context to the Content."[05:00] The 600-Pixel Rule; Pixel Weight (W vs. l); The 55-Character Sweet Spot.[10:00] Moz Study Analysis; Numbers in Headlines; Why Odd Numbers Win; Brackets and Transparency.[15:00] Power Words and Psychological Triggering; Tool Highlight: CapitalizeMyTitle.[20:00] Platform Evolution: Instagram as TV; LinkedIn SEO and the One-Time URL Edit Rule.[25:00] Case Study: Ranking #2 on FeedSpot; The Math of the 12-Hour Masterclass; Call to Action.Effective content strategy requires tracking the flow of information to ensure "next-version" improvements. The following log segments the Masterclass into thematic chapters, providing the "So What?" factor for each strategic shift.Chapters:Chapter 1: The Metadata Framework [00:00 - 10:00] Context vs. Content. This segment establishes that metadata is the "context" (attributes like host and duration) that allows users to value an asset before engaging. Without these key frames, even high-quality content remains invisible to search engines and the "Exact Searcher Intent."Chapter 2: The Utility of Catchy Copy [10:00 - 18:00] Visibility Across the Funnel. Effective copy acts as the primary catalyst for Click-Through Rates (CTR) across SEO, LinkedIn, and Email. The speaker frames catchy titles as functional tools that pre-condition the audience for engagement and conversion.Chapter 3: The Physics of the Pixel [18:00 - 25:00] Typography Weight. Moving beyond character counts, this chapter introduces the 600-pixel display limit. Strategists must account for the "weight" of individual characters (e.g., a capital "W" vs. a lowercase "l") to prevent truncation and maintain a professional aesthetic on the SERP (Search Engine Results Page).Chapter 4: The Psychology of Numbers [25:00 - 35:00] Time-Value Perception. This section evaluates how numbers (specifically odd numbers) impact user psychology. The "So What?" factor is the "minute-per-item" rule: users subconsciously equate the number of items in a title to the minutes they must invest (e.g., 10 ways = 10 minutes), directly influencing the decision to click.Chapter 5: Platform Evolution [35:00 - 45:00] Ecosystem Logic. The speaker analyzes Instagram's transition to "TV-style" content and LinkedIn's rigid SEO URL logic. The key takeaway is the importance of "Exact Title Match" to meet user intent while navigating platform-specific constraints like DM automation and hashtag limits.Chapter 6: The Podcasting Marathon [45:00 - End] The Milestone Logic. Highlighting the "eighth-episode hurdle" where 500,000 creators quit annually, the speaker discusses his 600-episode milestone and the necessity of IAB Tech Lab compliance. Long-term distribution success is a result of persistence and technical "due diligence."High-Value Quotes"Metadata... that's just another way of saying how do we get context out of this content. Those are attributes... that's the context to the content." - Favour Obasi-ike"A capital W has more weight than a small w. A capital L has more weight than a small l... that weight they carry is a pixel size digitally.""If somebody clicks and finds your content valuable, resourceful, accurate, and responsive, then anything that you're going to do from SEO to PPC ads... you're able to use consistently."Resources:Companies Passing Tech Lab Compliance Programs | Podcast Compliance DirectoriesHeadline Analyzer Tool: Write Better Headlines | Write Better Headlines HereSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Third Sunday in Advent - Christmas Pageant, based on Isaiah 35:1-10. Performed at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audibl....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Second Sunday in Advent; Sermon based on Isaiah 11:1-10. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast In....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

Most independent artists have thousands of dollars in unclaimed royalties sitting in four separate collection systems—and a four-year window to recover this money before it's redistributed to major labels.   In this episode, I break down the systematic framework for conducting a personal royalty audit. You'll discover why being registered with ASCAP, BMI, or SESAC isn't enough, and learn about the three additional systems most artists don't know exist: SoundExchange for digital performance royalties, publishing administration services for worldwide mechanical collection, and the Mechanical Licensing Collective for streaming platform royalties.   I'll walk you through the five-step implementation process: auditing your current registrations, gathering documentation, registering with missing systems, claiming historical royalties, and creating an ongoing management system to prevent future losses.   This framework builds on insights from music business educator Amani Roberts in Episode 339, where he reveals how artists consistently leave money on the table through incomplete registrations and missing split sheet documentation.   Topics Covered: The four registration systems required to collect all your royalties How unclaimed royalties are redistributed to major labels after four years How to verify you're registered correctly with your PRO (writer AND publisher sides) SoundExchange registration for Pandora, iHeartRadio, and SiriusXM royalties Mechanical Licensing Collective (MLC) free registration process When publishing administration services are worth the cost Split sheet documentation as the foundation for royalty collection Metadata management across all four systems Common mistakes that cause royalties to go unclaimed Step-by-step audit process with time estimates Creating an ongoing system to prevent future unclaimed royalties   December is the perfect time for this year-end financial cleanup—start recovering money you've already earned. Support the Unstarving Musician The Unstarving Musician exists solely through the generosity of its listeners, readers, and viewers. Learn how you can offer your support at UnstarvingMusician.com/CrowdSponsor This episode was brought to you by Podcast Startup. Ready to launch your podcast or take it to the next level? Podcast Startup gives you the frameworks, systems, and insider knowledge to build a show that actually grows your audience and serves your goals. Whether you're just getting started or looking to improve your existing podcast, you'll get actionable strategies on equipment selection, content planning, audience building, and sustainable production workflows—without the overwhelm. Learn more at UnstarvingMusician.com/PodcastStartup. Join podcasters who are building shows that last. Resources Visit UnstarvingMusician.com to find resources and links to things mentioned in this episode. Stay in touch! @RobonzoDrummer on  Instagram, X/Twitter, and Bluesky @UnstarvingMusician on Facebook  and  YouTube   

First Sunday in Advent; Sermon based on Matthew 24:36-44. Preached at The First Presbyterian Church of Brooklyn (https://linktr.ee/firstchurchbrooklyn). Podcast subscription is available at https://cutt.ly/fpcb-sermons or Apple Podcasts (https://apple.co/4ccZPt6), Spotify, Amazon, Audible, Podcast I....This item belongs to: audio/first-church-brooklyn-sermons.This item has files of the following types: Archive BitTorrent, Columbia Peaks, Item Tile, Metadata, PNG, Spectrogram, VBR MP3

This week on the New Music Business podcast, Ari sits down with acclaimed pianist and composer, Chloe Flower. Born in Pennsylvania, Chloe began playing piano at age two, later studying at the Manhattan School of Music Pre-College and London's Royal Academy of Music. A classically trained pianist turned genre-bender, she calls her unique style “popsical” (a fusion of classical, pop, and hip-hop). She has collaborated with major artists like Céline Dion, Babyface, Nas, and Cardi B (whose 2019 Grammy performance she helped elevate). Beyond music, Chloe is a passionate advocate for music education and anti-human trafficking efforts.In this episode, Ari and Chloe dive into her artistic journey. They discuss everything from rigorous classical training to creating a hybrid genre that seemed nonexistent before her. Chloe explains how she navigates the music business, and the lessons she's learned from bridging two very distinct worlds. Ari and Chloe talk about label strategy, collaboration with big-name artists and producers, and maintaining authenticity while scaling. Chloe shares her approach to building a personal brand (both musically and visually), her perspective on empowering women in the industry, and how she sees the future of genre-fluid music and education. https://www.instagram.com/misschloeflower05:00 – The Holiday Album and Women Composers10:30 – Understanding Public Domain and Classical Music Rights15:45 – YouTube Covers, Metadata, and Going Independent19:00 – Meeting Babyface and Blending Genres25:00 – The Viral Grammy Performance with Cardi B29:30 – Evolving Sound and the Role of Collaboration33:00 – Running an Independent Label and Revenue Streams36:00 – Pros and Cons of Major vs. Indie Labels47:00 – Music Education and Inspiring the Next Generation54:00 – Performing with Orchestras and ConductorsEdited and mixed by Peter SchruppMusic by Brassroots DistrictProduced by the team at Ari's TakeOrder the THIRD EDITION of How to Make It in the New Music Business: https://book.aristake.com Hosted on Acast. See acast.com/privacy for more information.

What if the key to lowering healthcare costs wasn't new treatments, but smarter data? In this podcast hosted by Cognizant Sr Product Director Chenny Solaiyappan, Velox Health Metadata Founder and CEO Michael Klotz will be speaking on transforming clinical data interoperability and reducing healthcare costs. Michael shares insights from his two-decade journey in digital health, revealing how intelligent metadata automation can unlock unprecedented value in healthcare information systems.

In this episode of Crazy Wisdom, host Stewart Alsop talks with Jessica Talisman, founder of Contextually and creator of the Ontology Pipeline, about the deep connections between knowledge management, library science, and the emerging world of AI systems. Together they explore how controlled vocabularies, ontologies, and metadata shape meaning for both humans and machines, why librarianship has lessons for modern tech, and how cultural context influences what we call “knowledge.” Jessica also discusses the rise of AI librarians, the problem of “AI slop,” and the need for collaborative, human-centered knowledge ecosystems. You can learn more about her work at Ontology Pipeline and find her writing and talks on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop welcomes Jessica Talisman to discuss Contextually, ontologies, and how controlled vocabularies ground scalable systems.05:00 They compare philosophy's ontology with information science, linking meaning, categorization, and sense-making for humans and machines.10:00 Jessica explains why SQL and Postgres can't capture knowledge complexity and how neuro-symbolic systems add context and interoperability.15:00 The talk turns to library science's split from big data in the 1990s, metadata schemas, and the FAIR principles of findability and reuse.20:00 They discuss neutrality, bias in corporate vocabularies, and why “touching grass” matters for reconciling internal and external meanings.25:00 Conversation shifts to interpretability, cultural context, and how Western categorical thinking differs from China's contextual knowledge.30:00 Jessica introduces process knowledge, documentation habits, and the danger of outsourcing how-to understanding.35:00 They explore knowledge as habit, the tension between break-things culture and library design thinking, and early AI experiments.40:00 Libraries' strategic use of AI, metadata precision, and the emerging role of AI librarians take focus.45:00 Stewart connects data labeling, Surge AI, and the economics of good data with Jessica's call for better knowledge architectures.50:00 They unpack content lifecycle, provenance, and user context as the backbone of knowledge ecosystems.55:00 The talk closes on automation limits, human-in-the-loop design, and Jessica's vision for collaborative consulting through Contextually.Key InsightsOntology is about meaning, not just data structure. Jessica Talisman reframes ontology from a philosophical abstraction into a practical tool for knowledge management—defining how things relate and what they mean within systems. She explains that without clear categories and shared definitions, organizations can't scale or communicate effectively, either with people or with machines.Controlled vocabularies are the foundation of AI literacy. Jessica emphasizes that building a controlled vocabulary is the simplest and most powerful way to disambiguate meaning for AI. Machines, like people, need context to interpret language, and consistent terminology prevents the “hallucinations” that occur when systems lack semantic grounding.Library science predicted today's knowledge crisis. Stewart and Jessica trace how, in the 1990s, tech went down the path of “big data” while librarians quietly built systems of metadata, ontologies, and standards like schema.org. Today's AI challenges—interoperability, reliability, and information overload—mirror problems library science has been solving for decades.Knowledge is culturally shaped. Drawing from Patrick Lambe's work, Jessica notes that Western knowledge systems are category-driven, while Chinese systems emphasize context. This cultural distinction explains why global AI models often miss nuance or moral voice when trained on limited datasets.Process knowledge is disappearing. The West has outsourced its “how-to” knowledge—what Jessica calls process knowledge—to other countries. Without documentation habits, we risk losing the embodied know-how that underpins manufacturing, engineering, and even creative work.Automation cannot replace critical thinking. Jessica warns against treating AI as “room service.” Automation can support, but not substitute, human judgment. Her own experience with a contract error generated by an AI tool underscores the importance of review, reflection, and accountability in human–machine collaboration.Collaborative consulting builds knowledge resilience. Through her consultancy, Contextually, Jessica advocates for “teaching through doing”—helping teams build their own ontologies and vocabularies rather than outsourcing them. Sustainable knowledge systems, she argues, depend on shared understanding, not just good technology.

Andrew Nesbitt builds tools and open datasets to support, sustain, and secure critical digital infrastructure. He's been exploring the world of open source metadata for over a decade. First with libraries.io and now with ecosyste.ms, which tracks over 12 million packages, 287 million repos, 24.5 billion dependencies, and 1.9 million maintainers. What has Andrew learned from all this, who is using this open dataset, and how does he hope others can build on top of it all? Tune in to find out.

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