Podcasts about Open data

Conosciamo Vincenzo Patruno, Data Manager presso Istat e membro del direttivo di Ondata. Vincenzo ci racconta il suo side project in ambito open data pubblici ed AI: dal server MCP che porta i dati Istat direttamente in Claude, allo standard SDMX per i dati statistici. Un episodio sull'advocacy verso la Pubblica Amministrazione e su come rendere i dati pubblici davvero accessibili a tutti.https://github.com/ondata/istat_mcp_serverhttps://www.ondata.it/

In der 74. Folge sprachen wir mit Adam Lucke über seine Open Data Seekarte "FreeNauticalChart", die nur noch eingeschränkt verfügbar ist, seit das Bundesamt für Seeschifffahrt und Hydrographie (BSH) Teile der Datengrundlage entfernt hat. Thomas Dehling, Leiter der Abteilung Nautische Hydrographie des BSH, klärt auf: Es war ein Konfigurationsfehler. Daten, die nur für Lizenznehmer vorgesehen waren, standen versehentlich öffentlich zur Verfügung. Adam Lucke hat nichts falsch gemacht – aber das BSH musste die Lücke schließen. Die zentrale Frage: Warum dürfen nicht alle Daten frei sein? Dehling erklärt den Unterschied zwischen Open Data und qualitätsgesicherten Seekartenprodukten, spricht über Sicherheit auf See und wirtschaftliche Verpflichtungen einer Bundesbehörde. Ein Gespräch über Datenzugang, Behördenlogik und die Frage: Wo hört Open Data auf – und warum? Das BSH antwortet – jetzt anhören. Wenn ihr noch nicht genug von Segelthemen habt, dann schaut unbedingt auf [www.yacht.de](https://www.yacht.de/)! Außerdem halten wir euch bei [Instagram](https://www.instagram.com/yacht_magazin?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw%3D%3D), [Facebook](https://www.facebook.com/YACHT.Magazin.Online), [TikTok](https://www.tiktok.com/@yacht_magazin) und [YACHT tv](https://www.youtube.com/user/DKYACHTtv) immer auf dem Laufenden!

Host Fabian Alefeld interviews Dean Bartles, President and CEO of the Manufacturing Technology Deployment Group (behind NCDMM, Advanced Manufacturing International, and America Makes), about manufacturing's evolution, defense industrial base challenges, and additive manufacturing. Bartles recounts his career from shop-floor machining and industrial engineering to international defense manufacturing programs and 31 years through successive owners culminating in General Dynamics, then leading NCDMM and forming a parent organization to expand technology deployment. They discuss consolidation and contracting barriers that pushed small/medium firms out of defense, productivity gains from automation, reshoring momentum driven by tariffs and new investment, and workforce shortages and training pathways via trades, community colleges, and SME/Tooling U. Bartles highlights AI for process monitoring and adaptive control in laser powder bed fusion, the promise of low-cost desktop FFF for drones, the need for shared data and improved repeatability, and sustainability efforts including the Additive Manufacturing Green Trade Association.  00:00 Welcome and Guest Intro  02:54 Dean Manufacturing Origins  04:18 Global Defense Career Path  06:05 Leading NCDMM and America Makes  10:44 Defense Base Decline and Industry 4.0  18:14 Reshoring and Global Models  22:17 AI Capital and Process Control  35:25 Open Data and Repeatability Challenge  38:24 Defense Adoption and Drone Boom  44:08 Workforce Pathways and Community Colleges  50:04 Sustainability and Greener AM  54:27 Closing ABL Always Be Learning 

The following article of the Cybersecurity industry is: 'Mexico's New Open Data Guidelines: Balancing Access and Security' by Israel Quiroz Plata, President and Founder, IQSEC. 

Laura Feetham-Walker of IOP Publishing is our podcast guest

Adam Lucke baute aus öffentlich zugänglichen BSH-Daten eine kostenlose Online-Seekarte. Genau das, wofür Open Data gedacht ist: Bürger nutzen staatliche Daten für die Allgemeinheit. Doch kaum wurde FreeNauticalChart.net bekannt, wurden die Daten vom BSH entfernt. Das BSH warnt: Die Daten seien nicht sicher genug für Navigation. Die zentrale Frage: Warum wurden die Daten entfernt – und was unterscheidet sie von denen, die für kommerzielle digitale Seekarten genutzt werden? Im Gespräch mit Timm Kruse erzählt Adam Lucke die Geschichte von FreeNauticalChart und seine Perspektive auf Open Data. Die Stellungnahme des BSH folgt am 5. Juni. Wenn ihr noch nicht genug von Segelthemen habt, dann schaut unbedingt auf [www.yacht.de](https://www.yacht.de/)! Außerdem halten wir euch bei [Instagram](https://www.instagram.com/yacht_magazin?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw%3D%3D), [Facebook](https://www.facebook.com/YACHT.Magazin.Online), [TikTok](https://www.tiktok.com/@yacht_magazin) und [YACHT tv](https://www.youtube.com/user/DKYACHTtv) immer auf dem Laufenden!

Ondata - come analizzare gli open data di Istat con le AIdati.gov.it Certo. Il portale. Ma con l'aggiunta dei progetti diventa molto interessante.E spicca quello di Ondata, mitici da sempre, ho gia' parlato di loro in passato.Ecco la visione: collegare gli open data Istat alle AI per avere risposte di altissimo livello.Ne dovrebbero parlare tutti, all'italiana, nessuno enfatizza il loro lavoro.https://ondata.substack.com/p/associazione-ondata-dati-che-parlanoBuon ascolto ! (ricordate il gruppone del caffe20 su Telegram, ancora per poco e sostenete il podcast su caffe20.it/membri

The episode explores why modern databases keep reinventing the same distributed-systems machinery and argues that a major part of database cost is the operational tax of running replication-heavy systems. Our guest, Almog Gavra, co-founder of Responsive, explains how his team pivoted from operating Kafka Streams as a service to building SlateDB and the “Open Data” manifesto: an object-storage-native LSM foundation that can power multiple database types (vector, time series, logs, key-value) with shared tuning knobs and failure modes. They discuss why distributed-systems complexity is often harder than query engines, how LSM trees provide a tunable tradeoff between read/write/space amplification, caching layers and cost transparency, separating readers/writers, stateless ingest, single-writer availability and fencing via S3 compare-and-set, offloading compaction, and how the architecture enables near-free snapshots. They also cover when this approach doesn't fit: OLTP that can stay on Postgres and ultra-low-latency workloads where cold object-store misses are unacceptable.Chapters:00:00 Introduction08:36 Open Data Manifesto18:34 Specialized vs General25:10 SlateDB Architecture32:51 LSM Trees as Tuning Dial38:58 Tuning Without Overload39:46 Cost Aware Config Knobs41:51 Latency Cost Durability Tradeoffs46:46 Caching Strategies And Layers50:23 Split Readers And Writers52:43 Single Writer Versus Multi Writer55:16 Scaling And Partitioning Writes58:58 Failure Modes And Fencing01:05:23 Compaction As Separate Worker01:09:28 Snapshots And Garbage Collection01:10:25 When Open Data Is Not FitImportant links and references:OpenData: http://github.com/opendata-oss/opendataOpenData manifesto: https://www.opendata.dev/blog/manifestoReach out to Almog: https://www.linkedin.com/in/agavra/ or https://x.com/almoggavraDostovesky paper on LSM: https://nivdayan.github.io/dostoevsky.pdfLatency/Cost/Durability Triad: https://materializedview.io/p/cloud-storage-triad-latency-cost-durabilitySlateDB: https://github.com/slatedb/slatedb"how SSTs work": https://www.bitsxpages.com/p/sorted-string-tables-sst-from-firstFor memberships: join this channel as a member here:https://www.youtube.com/channel/UC_mGuY4g0mggeUGM6V1osdA/joinDon't forget to like, share, and subscribe for more insights!=============================================================================Like building stuff? Try out CodeCrafters and build amazing real world systems like Redis, Kafka, Sqlite. Use the link below to signup and get 40% off on paid subscription.https://app.codecrafters.io/join?via=geeknarrator=============================================================================Database internals series: https://youtu.be/yV_Zp0Mi3xsPopular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17Distributed systems and databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4sfLDUnjBJXJGFhhz94jDd_dModern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsNStay Curios! Keep Learning!

The Maharashtra government must fund activities that can develop, certify, and rapidly multiply climate-resilient mango cultivars, along with other agricultural products.

En este episodio hablamos de cómo la banca tradicional evoluciona hacia la era del Open Everything.Pagos, datos e inteligencia artificial están redefiniendo la forma en que se crean experiencias más rápidas, inteligentes y conectadas.Y por qué abrir datos de forma segura es hoy una de las mayores oportunidades para innovar y crecer.

Pasquale Viscanti e Giacinto Fiore intervistano Valerio Summo, responsabile della Transizione Digitale, Open Data e Intelligenza Artificiale di ARPA Puglia, per capire come una Pubblica Amministrazione possa evolvere in una vera AI-Driven Company. La conversazione parte da casi concreti legati all'ambiente e al monitoraggio del territorio, mostrando come l'uso dei dati e dell'AI possa migliorare l'efficacia delle decisioni e dei processi.Nel corso della puntata emergono le principali sfide organizzative e culturali che la PA deve affrontare, insieme alle opportunità offerte da un approccio data-driven. Tra Open Data, innovazione e applicazioni reali, viene delineato un percorso chiaro e replicabile per portare l'Intelligenza Artificiale al centro delle strategie pubbliche.Incontra tutti i protagonisti dell'AI alla AI WEEK 2026: Arsenalia, PwC, AltermAInd, NTT Data, Reply e tanti altri. Scoprili tutti su https://www.aiweek.it Pasquale Viscanti e Giacinto Fiore ti guideranno alla scoperta di quello che sta accadendo grazie o a causa dell'Intelligenza Artificiale, spiegandola semplice.Puoi iscriverti anche alla newsletter su: https://www.iaspiegatasemplice.it

Are vendors trying to lock down your data? In this episode, George Fraser breaks down why the "modern data stack" has evolved into "open data infrastructure". We discuss why data gravity is the most overrated concept in data management, how egress charges are often misunderstood due to poorly designed pipelines, and why companies must insist on having a true replica of their own data.George also shares his hands-on experience with AI coding agents, including how he manages his USTA tennis team with bots like OpenClaw and NanoBot.

Auch in diesem Jahr veranstalteten die Landeshauptstadt München und die Bayerische Agentur für Digitales - byte, einen Open Data Day. Wieder im Konferenzformat mit interessanten Vorträgen und Projekten. Ich war, schon traditionell, mit dem Mikrofon dabei und konnte sogar ein Gespräch mit dem Bayerischen Staatsminister für Digitales Dr. Fabian Mehring führen. Kommentare unter: https://egovernment-podcast.com/egov255-oddmuc26/ 

In this episode, I talk with Nick Hart, President and CEO of the Data Foundation, about the rapidly changing landscape of federal data, statistical agencies, and evidence-based policymaking. We explore how the Evidence Act reshaped government data infrastructure, why privacy protections and data governance matter more than ever, and what's been happening behind the scenes over the last year as agencies faced staffing cuts, data removals, and unprecedented political pressure. Nick explains how government data systems actually work, why the U.S. model is both admired and strained, and what a “Data System 2.0” might look like in the future. We also discuss state and local data roles, the risks of politicizing data, and two public-facing initiatives from the Data Foundation: the Evidence Act Hub and the People's Data 100. This is a wide-ranging conversation about trust, transparency, and why government data quietly underpins far more of our lives than most people realize.Subscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out the Data Foundation and their People's Data 100 project! Follow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

這段期間，我們一直從不同角度討論「開放」議題，這一集，我們要再次把眼光拉回政府，看看「開放文化」對台灣這片土地的重要性。 今天邀請到兩位大來賓，他們在「開放文化」和「台灣在地 AI」領域奮鬥多年，不僅長期在第一線跟政府機關進行溝通，也希望能為台灣在 AI 中文語境中「奪得話語權」。 歡迎今天的大來賓：開放文化基金會執行長 李欣穎 Singing、AGIB.tw 台灣通用人工智慧基準 計畫主持人 Teemo - - - - - -- - - - - - 【寶博朋友說千萬粉絲專屬社群頻道 Discord 開張啦

In this episode, I talk with Denice Ross about the fragile state of federal data and her new work at DataIndex. We discuss how the removal, alteration, or disruption of federal data collections and data products affects research, policymaking, businesses, and everyday life. Denice explains the vision behind DataIndex and EssentialData, which monitor data risks, highlight data dependencies, and help users recognize how federal data benefit society. We also explore the roles of private-sector data, civic tech efforts, and public advocacy in building a more resilient national data infrastructure. It's a fascinating look at what's at stake when the country's information backbone is no longer guaranteed.Subscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out America's Essential DataFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Dans un monde saturé de surveillance et d'algorithmes propriétaires, s'affranchir des Big Tech devient un acte d'indépendance. De Brest à Nairobi, en passant par Montpellier, Dakar et Abidjan, un mouvement de renaissance numérique s'organise : des acteurs locaux construisent des alternatives respectueuses de la vie privée, réparables, durables et éthiques. Voici un guide de résistance numérique, pour une vie connectée mais libre.

In questo episodio approfondiamo cosa sono gli Open Data e il modello di Open Government, nati per rendere le istituzioni più trasparenti, collaborative e partecipative. Dal ruolo dei big data nella società digitale alle politiche avviate a livello internazionale e italiano, il podcast spiega perché l'accesso ai dati pubblici è un diritto fondamentale e come il loro riuso possa generare valore sociale, innovazione, nuove economie e una cittadinanza più consapevole. Un'introduzione chiara a un tema chiave per la democrazia digitale contemporanea.

Julia, Mike, Sara und ich harmonisieren uns mit der Katastrophe und schauen mal wieder in die Landtage. Wir sprechen über das Waldgesetz in Thüringen, Katastrophenschutz in BaWü, das Polizeigesetz in Niedersachsen und suchen Open-Data-Fortschritte in Rheinland-Pfalz.

Die EU hat ihr Digital-Omnibus-Paket veröffentlicht. Im Zentrum steht hier der Data Act als zentrales Regelwerk für die europäische Datenwirtschaft über alle Branchen hinweg. Auch sollen Anpassungen an der DSGVO bzw. GDPR die Einhaltung der Vorschriften erleichtern.Ute Kolck (Bank-Verlag) hat im 4. Open-Finance-Stammtisch mit Prof. Dr. Silke Finken (ISM), Joris Hensen (Deutsche Bank), Kai Wirthwein (First Financial) und Nicola Breyer (Roland Berger) folgende Fragen diskutiert: Wie bewertet die Runde diese Initiativen mit Blick auf Open Finance?Inwieweit können Finanzinstitute und auch FISPs profitieren? Welchen Mehrwert bringt das Digital-Omnibus-Paket für Privat- und für Business-Kunden?

L'inaction face au changement climatique coûte déjà plus cher que la transition, selon l'un des rapports de la Cour de Comptes de 2025. Dans cet épisode, nos invités de SNCF Réseau et du CEREMA décryptent comment collectivités et opérateurs d'infrastructures transforment cette urgence en actions concrètes.Au-delà des réponses techniques, l'épisode met aussi en lumière le paradoxe de l'adaptation :  déployée localement pour répondre aux besoins des territoires, elle doit pourtant être pensée de manière systémique, car le changement climatique ignore les frontières. Les interviewés détaillent les outils existants et les perspectives offertes par la technologie pour modéliser les scénarios, coordonner les acteurs et garantir la continuité des services. Un message résolument optimiste : pour chaque défi, des solutions existent, à condition d'agir collectivement.Un échange animé par Valère Corréard avec Benoît Chevalier, Directeur de la stratégie d'adaptation au changement climatique de SNCF Réseau, Pascal Berteaud, Directeur général du CEREMA, et Maëlle Bouvier, Directrice du développement durable pour le secteur public chez Capgemini Invent.

What if law moved at light speed—not to block discovery, but to channel it? We sit down with the big idea that runs through today's most ambitious missions: when ownership is clear and sharing is structured, innovation scales across nations, agencies, and even planets.We start in orbit with the ISS, where inventorship follows astronauts and equipment, and use rights are negotiated before launch, so science never stalls at zero gravity. Then we shift to ITER, the global fusion project that separates background IP from generated IP and grants royalty-free, global, perpetual research licenses to every member. That single design choice turns competition into cooperation without closing the door on commercialization. On the lunar front, the Artemis Accords introduce interoperability and deconfliction zones—protecting operations without territorial claims—and bring private players under shared norms that reward transparency.Back on Earth, Copernicus proves that open satellite data strengthens climate action, agriculture, and emergency response, while the International Charter on Space and Major Disasters operationalizes generosity with rapid, accountable data releases. We dive into NASA's open source ecosystem—thousands of mission-grade tools vetted through NOSA and rigorous approvals—showing code as shared infrastructure that startups, labs, and agencies build on every day. Communication ties it all together: CCSDS standards give spacecraft a common language, royalty-free and openly published, cutting costs and accelerating cross-agency work. The Planetary Data System and the International Planetary Data Alliance extend that spirit to archives, harmonizing formats and metadata so scientists can reuse and cite with confidence. And the Interplanetary Internet—Delay/Disruption Tolerant Networking—demonstrates how open standards thrive when anyone can implement, test, and improve them, from deep space to disaster zones on Earth.Across these stories, a pattern emerges: plan ownership before liftoff, design openness with structure, standardize where it multiplies value, and pair publication with credit. That's how IP becomes the engine of trust, not the price of participation. If this conversation moved your thinking, follow and subscribe, share it with a colleague, and leave a review with your favorite takeaway so more curious minds can find us.Check out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats.Send us a textSupport the show

The UK's 2025 Data Act marks a turning point in how data is shared and governed. Just as common standards in telecoms and banking unlocked innovation, trusted data could be the key to credible climate action. But with carbon reporting fragmented and confidence in the numbers low, can open data really help us reach net zero?In this episode of Tech Tomorrow, David Elliman speaks with Gavin Starks, founder of Icebreaker One, about why net zero is impossible without shared, reliable data. They draw lessons from open banking—how standards, governance, and collaboration turned a technical challenge into a multi-billion-pound ecosystem—and ask what it would take to do the same for climate.They also spotlight Icebreaker One's project Perseus, which is building the data infrastructure to automate SME sustainability reporting and connect emissions data directly with green finance. By cutting friction for small businesses and giving banks numbers they can trust, Perseus shows how shared data can turn compliance into opportunity.Episode Highlights:01:00 – An introduction to Gavin.01:25 – When we talk about open data in the context of climate action, what do we actually mean?04:17 – The parallels between open banking and net zero.06:25 – David's thoughts: Finding clarity in carbon reporting.07:47  – The current crisis in carbon reporting.11:05  – When it comes to getting this right, 90% of the work is governance.13:37  – David's thoughts: The power of narrow use cases.15:02  – Why open banking was a success.16:54  – When it comes to sustainability, compliance should really be the floor and opportunity should be the ceiling.19:04  – David's thoughts: The 2025 UK Data Act.20:43  – Why 2025 is an inflection point for data in the UK.22:57  – What does Gavin think will happen next?25:53 – Is net zero even possible without open data?About Zühlke:Zühlke is a global transformation partner, with engineering and innovation at its core. We help clients envision and build their businesses for the future – running smarter today while adapting for tomorrow's markets, customers, and communities.Our multidisciplinary teams specialise in technology strategy and business innovation, digital solutions and applications, and device and systems engineering. We thrive in complex, regulated sectors such as healthcare and finance, connecting strategy, implementation, and operations to help clients build more effective and resilient businesses.Links:Zühlke WebsiteZühlke on LinkedInDavid Elliman on LinkedInGavin Starks on LinkedInIcebreaker One WebsitePersus Website

Our look back at the Astrochemical Literature for the month of September 2025. Ilsa Cooke co-hosts.Timestamps0:00 - Intro1:19 - Coffee Chat: Brett + Ilsa38:22 - Advert: Fall Flavors at Starducks39:19 - Grab & Go Papers51:31 - Advert: LeafBeGone 300052:28 - Percolator: Publicly Available Datasets58:51 - Chalkboard Grab & Go summaries for you this week are on our website: coffee.astrochem.net.Papers and Links from the Percolator:Orion Survey: Sutton et al. 1985 ApJS 58, 341Sgr B2 Survey: Nummelin et al. 1998 ApJS 117, 427TMC-1 Survey: Kaifu et al. 2004 PASJ 56, 69PRIMOS (Sgr B2): Neill et al. 2012 ApJ 755, 153TMC-1 GOTHAM: Xue et al. 2025 (https://arxiv.org/abs/2509.06256)ASAI: Lefloch et al. 2018 MNRAS 477, 4792 (https://www.iram.fr/ILPA/LP007/)IRC+10216 Survey: Gong et al. 2015 A&A 574, A56Herschel HEXOS: https://www.ipac.caltech.edu/doi/irsa/10.26131/IRSA510ALMA MAPS: https://alma-maps.info/data.htmlCDMS: https://cdms.astro.uni-koeln.de/JPL: https://spec.jpl.nasa.gov/LSD: https://lsd.univ-lille.fr/Splatalogue: splatalogue.onlineKIDA: https://kida.astrochem-tools.org/UMIST: https://umistdatabase.uk/Chalkboard this month has Jobs and save-the-dates for conferences. Hosted on Acast. See acast.com/privacy for more information.

AI is broken. Hang Yin, co-founder of Phala Network, believes the fix starts with privacy and open-source transparency.In the 3rd episode of AI Supercycle, our premiere AI weekly show presented by NEAR, we dive into:• Why current AI models are fundamentally unsustainable• How confidential computing could protect data in the AI era• The missing layer of encryption that no one talks about• Open-source AI vs. corporate black boxes• Why decentralization is the only path to real alignment• The nuclear-fusion analogy for AI controlHang shares how Phala is building the infrastructure for private, verifiable AI, and why the next evolution of intelligence won't come from closed systems, but from open networks.Watch the full episode now.Timestamps:00:00 Intro00:46 Intel TEE Exploits07:20 Hibachi, Recall Ad08:03 Encryption Stack in AI Systems12:29 Secured Encryption Services16:30 Phala's TEE Stack Infrastructure20:05 Default for AI Product Building24:45 Onchain Governance in AI29:27 Talus, Relay, Enso Ad30:11 Future of Private AI34:05 Open Data to AI Supply Chain36:02 Who is Phala Really For?Website: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

We first had Nathan on to give us his RLHF deep dive when he was joining AI2, and now he's back to help us catch up on the evolution to RLVR (Reinforcement Learning with Verifiable Rewards), first proposed in his Tulu 3 paper. While RLHF remains foundational, RLVR has emerged as a powerful approach for training models on tasks with clear success criteria and using verifiable, objective functions as reward signals—particularly useful in domains like math, code correctness, and instruction-following. Instead of relying solely on subjective human feedback, RLVR leverages deterministic signals to guide optimization, making it more scalable and potentially more reliable across many domains. However, he notes that RLVR is still rapidly evolving, especially regarding how it handles tool use and multi-step reasoning.We also discussed the Tulu model series, a family of instruction-tuned open models developed at AI2. Tulu is designed to be a reproducible, state-of-the-art post-training recipe for the open community. Unlike frontier labs like OpenAI or Anthropic, which rely on vast and often proprietary datasets, Tulu aims to distill and democratize best practices for instruction and preference tuning. We are impressed with how small eval suites, careful task selection, and transparent methodology can rival even the best proprietary models on specific benchmarks.One of the most fascinating threads is the challenge of incorporating tool use into RL frameworks. Lambert highlights that while you can prompt a model to use tools like search or code execution, getting the model to reliably learn when and how to use them through RL is much harder. This is compounded by the difficulty of designing reward functions that avoid overoptimization—where models learn to “game” the reward signal rather than solve the underlying task. This is particularly problematic in code generation, where models might reward hack unit tests by inserting pass statements instead of correct logic. As models become more agentic and are expected to plan, retrieve, and act across multiple tools, reward design becomes a critical bottleneck.Other topics covered:- The evolution from RLHF (Reinforcement Learning from Human Feedback) to RLVR (Reinforcement Learning from Verifiable Rewards)- The goals and technical architecture of the Tulu models, including the motivation to open-source post-training recipes- Challenges of tool use in RL: verifiability, reward design, and scaling across domains- Evaluation frameworks and the role of platforms like Chatbot Arena and emerging “arena”-style benchmarks- The strategic tension between hybrid reasoning models and unified reasoning models at the frontier- Planning, abstraction, and calibration in reasoning agents and why these concepts matter- The future of open-source AI models, including DeepSeek, OLMo, and the potential for an “American DeepSeek”- The importance of model personality, character tuning, and the model spec paradigm- Overoptimization in RL settings and how it manifests in different domains (control tasks, code, math)- Industry trends in inference-time scaling and model parallelismFinally, the episode closes with a vision for the future of open-source AI. Nathan has now written up his ambition to build an “American DeepSeek”—a fully open, end-to-end reasoning-capable model with transparent training data, tools, and infrastructure. He emphasizes that open-source AI is not just about weights; it's about releasing recipes, evaluations, and methods that lower the barrier for everyone to build and understand cutting-edge systems. Full Video EpisodeTimestamps00:00 Welcome and Guest Introduction01:18 Tulu, OVR, and the RLVR Journey03:40 Industry Approaches to Post-Training and Preference Data06:08 Understanding RLVR and Its Impact06:18 Agents, Tool Use, and Training Environments10:34 Open Data, Human Feedback, and Benchmarking12:44 Chatbot Arena, Sycophancy, and Evaluation Platforms15:42 RLHF vs RLVR: Books, Algorithms, and Future Directions17:54 Frontier Models: Reasoning, Hybrid Models, and Data22:11 Search, Retrieval, and Emerging Model Capabilities29:23 Tool Use, Curriculum, and Model Training Challenges38:06 Skills, Planning, and Abstraction in Agent Models46:50 Parallelism, Verifiers, and Scaling Approaches54:33 Overoptimization and Reward Design in RL1:02:27 Open Models, Personalization, and the Model Spec1:06:50 Open Model Ecosystem and Infrastructure1:13:05 Meta, Hardware, and the Future of AI Competition1:15:42 Building an Open DeepSeek and Closing Thoughts Get full access to Latent.Space at www.latent.space/subscribe

Chapters 00:00:00 Welcome and Guest Introduction 00:01:18 Tulu, OVR, and the RLVR Journey 00:03:40 Industry Approaches to Post-Training and Preference Data 00:06:08 Understanding RLVR and Its Impact 00:06:18 Agents, Tool Use, and Training Environments 00:10:34 Open Data, Human Feedback, and Benchmarking 00:12:44 Chatbot Arena, Sycophancy, and Evaluation Platforms 00:15:42 RLHF vs RLVR: Books, Algorithms, and Future Directions 00:17:54 Frontier Models: Reasoning, Hybrid Models, and Data 00:22:11 Search, Retrieval, and Emerging Model Capabilities 00:29:23 Tool Use, Curriculum, and Model Training Challenges 00:38:06 Skills, Planning, and Abstraction in Agent Models 00:46:50 Parallelism, Verifiers, and Scaling Approaches 00:54:33 Overoptimization and Reward Design in RL 01:02:27 Open Models, Personalization, and the Model Spec 01:06:50 Open Model Ecosystem and Infrastructure 01:13:05 Meta, Hardware, and the Future of AI Competition 01:15:42 Building an Open DeepSeek and Closing Thoughts We first had Nathan on to give us his RLHF deep dive when he was joining AI2, and now he's back to help us catch up on the evolution to RLVR (Reinforcement Learning with Verifiable Rewards), first proposed in his Tulu 3 paper. While RLHF remains foundational, RLVR has emerged as a powerful approach for training models on tasks with clear success criteria and using verifiable, objective functions as reward signals—particularly useful in domains like math, code correctness, and instruction-following. Instead of relying solely on subjective human feedback, RLVR leverages deterministic signals to guide optimization, making it more scalable and potentially more reliable across many domains. However, he notes that RLVR is still rapidly evolving, especially regarding how it handles tool use and multi-step reasoning. We also discussed the Tulu model series, a family of instruction-tuned open models developed at AI2. Tulu is designed to be a reproducible, state-of-the-art post-training recipe for the open community. Unlike frontier labs like OpenAI or Anthropic, which rely on vast and often proprietary datasets, Tulu aims to distill and democratize best practices for instruction and preference tuning. We are impressed with how small eval suites, careful task selection, and transparent methodology can rival even the best proprietary models on specific benchmarks. One of the most fascinating threads is the challenge of incorporating tool use into RL frameworks. Lambert highlights that while you can prompt a model to use tools like search or code execution, getting the model to reliably learn when and how to use them through RL is much harder. This is compounded by the difficulty of designing reward functions that avoid overoptimization—where models learn to “game” the reward signal rather than solve the underlying task. This is particularly problematic in code generation, where models might reward hack unit tests by inserting pass statements instead of correct logic. As models become more agentic and are expected to plan, retrieve, and act across multiple tools, reward design becomes a critical bottleneck. Other topics covered: - The evolution from RLHF (Reinforcement Learning from Human Feedback) to RLVR (Reinforcement Learning from Verifiable Rewards) - The goals and technical architecture of the Tulu models, including the motivation to open-source post-training recipes - Challenges of tool use in RL: verifiability, reward design, and scaling across domains - Evaluation frameworks and the role of platforms like Chatbot Arena and emerging “arena”-style benchmarks - The strategic tension between hybrid reasoning models and unified reasoning models at the frontier - Planning, abstraction, and calibration in reasoning agents and why these concepts matter - The future of open-source AI models, including DeepSeek, OLMo, and the potential for an “American DeepSeek” - The importance of model personality, character tuning, and the model spec paradigm - Overoptimization in RL settings and how it manifests in different domains (control tasks, code, math) - Industry trends in inference-time scaling and model parallelism Finally, the episode closes with a vision for the future of open-source AI. Nathan has now written up his ambition to build an “American DeepSeek”—a fully open, end-to-end reasoning-capable model with transparent training data, tools, and infrastructure. He emphasizes that open-source AI is not just about weights; it's about releasing recipes, evaluations, and methods that lower the barrier for everyone to build and understand cutting-edge systems. It would seem the

Machine learning scientist Gracie Ermi joins Charna Parkey to explore how AI and open-source satellite data are changing the way we understand land use, climate impact, and environmental risk. At Impact Observatory, she helps create high-resolution, publicly available maps used by educators, researchers, and global organizations alike. A conversation about the technical challenges behind these tools, what open access really looks like in practice, and the role AI plays in making environmental data faster and more useful.  QuotesCharna Parkey“One of the most exciting things about where AI is headed is that we're finally expanding its use beyond language. Gracie's work is a prime example of how machine learning can interpret physical space, detect environmental change, and deliver insights that matter. It's a reminder that AI isn't just a chatbot—it's a tool to see, sense, and protect the planet.” Gracie  Ermi“The biggest innovation we need right now isn't necessarily a new AI model. It's better, cheaper satellite imagery—especially higher-resolution data that's still open access. Right now, we're working mostly with Sentinel imagery, which has a 10-meter resolution. That's great for a lot of things, but it limits what you can detect. Individual buildings, small changes—they get lost at that scale. If higher-res data became more affordable or openly available, it would change everything.” Timestamps00:00:00 – Introduction to Gracie Ermi and Impact Observatory's mission using AI and open data for environmental monitoring.00:02:00 – Gracie shares how she discovered computer science and open source, and how that shaped her interest in using tech for impact.00:04:00 – Why Gracie chose to work at a mission-driven organization that prioritizes open access and environmental good.00:06:00 – Real-world uses of Impact Observatory's open-source maps00:08:00 – Challenges around tracking open-source usage and the tension between openness and attribution in the ecosystem.00:10:00 –  How AI speeds up the creation of land-use maps00:12:00 – Discussion on classical computer vision versus GenAI in geospatial work00:14:00 – The technical limitations of current satellite imagery, particularly resolution and frequency, and how they affect output.00:16:00 – Ethical considerations of increasing image resolution and what it might mean for privacy and surveillance.00:18:00 – Reflections on unexpected risks and consequences that come with technological advancement in mapping.00:24:00 – Advice for people with nontraditional backgrounds who want to enter AI or conservation tech.00:26:00 – How Gracie uses GenAI tools like ChatGPT to overcome creative friction and emotional resistance to complex tasks.00:28:00 – How large language models might help make geospatial tools more accessible, and what's next for the field. 

Data reuse represents an opportunity to accelerate the pace of science, reduce costs and increase the value of our collective research investments. New tools that make open data easier to use—and new pressures, including funding cuts—may increase uptake.

Explore the critical intersection of Data Center Infrastructure Management (DCIM), Common Data Center Security issues and Zero Trust Architecture (ZTA) with a special focus on how our innovative OpenData solution can help. As data centers face increasing security threats and regulatory pressures, understanding how to effectively integrate DCIM into a Zero Trust framework is essential for safeguarding operations and ensuring compliance.

Die Soziologin Katja Mayer über konkrete Wege, den Humanismus im Zeitalter der Maschinen zu wahren. Ein Podcast vom Pragmaticus. Das Thema:Angesichts der fortschreitenden Fähigkeiten der Technologie und der vollständigen Durchdringung unseres Alltags durch künstliche Intelligenz, lenkt digitaler Humanismus den Blick auf die Problemzonen des digitalen Fortschritts (Machtkonzentration, Monopolbildung, Kontrolle, Sucht und Abhängigkeit), um Lösungen anzubieten: klare Regeln, Transparenz und Mitbestimmung. Die Zeit drängt, meint die Soziologin Katja Mayer, denn: „Wir haben den utopischen Weg längst verlassen“.Wie finden wir zurück? Die Erfahrungen der Renaissance können uns leiten, sagt Mayer: Diese griff auf die Antike zurück, um humanistische Werte und technologischen Fortschritt zu verbinden. Im Podcast zeigt sie konkrete und technologiefreundliche Wege auf, wie das Menschliche wieder zurückerobert werden kann.Unser Gast in dieser Folge: Katja Mayer ist Soziologin und forscht am Zentrum für Soziale Innovation (ZSI) in Wien und an der Universität Wien. Ihre Forschungsschwerpunkte sind unter anderem Open Science und Open Data im Kontext von Künstlicher Intelligenz. Vor ihrer akademischen Laufbahn hat Katja Mayer in der IT-Branche gearbeitet und war Forschungsberaterin des Präsidenten des Europäischen Forschungsrats (European Research Council ERC).Dies ist ein Podcast von Der Pragmaticus. Sie finden uns auch auf Instagram, Facebook, LinkedIn und X (Twitter).

Vinoth Chandar (CEO at Onehouse and creator of Apache Hudi) and I chat about the creation of Apache Hudi, the future of open data lakehouses, and much more.#hudi #data #ai #datalakehouse #dataengineering

On this episode of the Crazy Wisdom Podcast, host Stewart Alsop welcomes Jessica Talisman, a senior information architect deeply immersed in the worlds of taxonomy, ontology, and knowledge management. The conversation spans the evolution of libraries, the shifting nature of public and private access to knowledge, and the role of institutions like the Internet Archive in preserving digital history. They also explore the fragility of information in the digital age, the ongoing battle over access to knowledge, and how AI is shaping—and being shaped by—structured data and knowledge graphs. To connect with Jessica Talisman, you can reach her via LinkedIn.  Check out this GPT we trained on the conversation!Timestamps00:05 – Libraries, Democracy, Public vs. Private Knowledge Jessica explains how libraries have historically shifted between public and private control, shaping access to knowledge and democracy.00:10 – Internet Archive, Cyberattacks, Digital Preservation Stewart describes visiting the Internet Archive post-cyberattack, sparking a discussion on threats to digital preservation and free information.00:15 – AI, Structured Data, Ontologies, NIH, PubMed Jessica breaks down how AI trains on structured data from sources like NIH and PubMed but often lacks alignment with authoritative knowledge.00:20 – Linked Data, Knowledge Graphs, Semantic Web, Tim Berners-Lee They explore how linked data enables machines to understand connections between knowledge, referencing the vision behind the semantic web.00:25 – Entity Management, Cataloging, Provenance, Authority Jessica explains how libraries are transitioning from cataloging books to managing entities, ensuring provenance and verifiable knowledge.00:30 – Digital Dark Ages, Knowledge Loss, Corporate Control Stewart compares today's deletion of digital content to historical knowledge loss, warning about the fragility of digital memory.00:35 – War on Truth, Book Bans, Algorithmic Bias, Censorship They discuss how knowledge suppression—from book bans to algorithmic censorship—threatens free access to information.00:40 – AI, Search Engines, Metadata, Schema.org, RDF Jessica highlights how AI and search engines depend on structured metadata but often fail to prioritize authoritative sources.00:45 – Power Over Knowledge, Open vs. Closed Systems, AI Ethics They debate the battle between corporations, governments, and open-source efforts to control how knowledge is structured and accessed.00:50 – Librarians, AI Misinformation, Knowledge Organization Jessica emphasizes that librarians and structured knowledge systems are essential in combating misinformation in AI.00:55 – Future of Digital Memory, AI, Ethics, Information Access They reflect on whether AI and linked data will expand knowledge access or accelerate digital decay and misinformation.Key InsightsThe Evolution of Libraries Reflects Power Struggles Over Knowledge: Libraries have historically oscillated between being public and private institutions, reflecting broader societal shifts in who controls access to knowledge. Jessica Talisman highlights how figures like Andrew Carnegie helped establish the modern public library system, reinforcing libraries as democratic spaces where information is accessible to all. However, she also notes that as knowledge becomes digitized, new battles emerge over who owns and controls digital information​​.The Internet Archive Faces Systematic Attacks on Knowledge: Stewart Alsop shares his firsthand experience visiting the Internet Archive just after it had suffered a major cyberattack. This incident is part of a larger trend in which libraries and knowledge repositories worldwide, including those in Canada, have been targeted. The conversation raises concerns that these attacks are not random but part of a broader, well-funded effort to undermine access to information​​.AI and Knowledge Graphs Are Deeply Intertwined: AI systems, particularly large language models (LLMs), rely on structured data sources such as knowledge graphs, ontologies, and linked data. Talisman explains how institutions like the NIH and PubMed provide openly available, structured knowledge that AI systems train on. Yet, she points out a critical gap—AI often lacks alignment with real-world, authoritative sources, which leads to inaccuracies in machine-generated knowledge​​.Libraries Are Moving From Cataloging to Entity Management: Traditional library systems were built around cataloging books and documents, but modern libraries are transitioning toward entity management, which organizes knowledge in a way that allows for more dynamic connections. Linked data and knowledge graphs enable this shift, making it easier to navigate vast repositories of information while maintaining provenance and authority​​.The War on Truth and Information Is Accelerating: The episode touches on the increasing threats to truth and reliable information, from book bans to algorithmic suppression of knowledge. Talisman underscores the crucial role librarians play in preserving access to primary sources and maintaining records of historical truth. As AI becomes more prominent in knowledge dissemination, the need for robust, verifiable sources becomes even more urgent​​.Linked Data is the Foundation of Digital Knowledge: The conversation explores how linked data protocols, such as those championed by Tim Berners-Lee, allow machines and AI to interpret and connect information across the web. Talisman explains that institutions like NIH publish their taxonomies in RDF format, making them accessible as structured, authoritative sources. However, many organizations fail to leverage this interconnected data, leading to inefficiencies in knowledge management​​.Preserving Digital Memory is a Civilization-Defining Challenge: In the digital age, the loss of information is more severe than ever. Alsop compares the current state of digital impermanence to the Dark Ages, where crucial knowledge risks disappearing due to corporate decisions, cyberattacks, and lack of preservation infrastructure. Talisman agrees, emphasizing that digital archives like the Internet Archive, WorldCat, and Wikimedia are foundational to maintaining a collective human memory​​.

On this episode of Crazy Wisdom, I, Stewart Alsop, sit down with Gabe Dominocielo, co-founder of Umbra, a space tech company revolutionizing satellite imagery. We discuss the rapid advancements in space-based observation, the economics driving the industry, and how AI intersects with satellite data. Gabe shares insights on government contracting, defense applications, and the shift toward cost-minus procurement models. We also explore the broader implications of satellite technology—from hedge funds analyzing parking lots to wildfire response efforts. Check out more about Gabe and Umbra at umbraspace.com (https://umbraspace.com), and don't miss their open data archive for high-resolution satellite imagery.Check out this GPT we trained on the conversation!Timestamps00:00 Introduction to the Crazy Wisdom Podcast00:05 Gabe's Background and Umbra's Mission00:34 The Story Behind 'Come and Take It'01:32 Space Technology and Cost Plus Contracts03:28 The Impact of Elon Musk and SpaceX05:16 Umbra's Business Model and Profitability07:28 Challenges in the Satellite Business11:45 Investors and Funding Journey19:31 Space Business Landscape and Future Prospects23:09 Defense and Regulatory Challenges in Space31:06 Practical Applications of Satellite Data33:16 Unexpected Wealth and Autistic Curiosity33:49 Beet Farming and Data Insights35:09 Philosophy in Business Strategy38:56 Empathy and Investor Relations43:00 Raising Capital: Strategies and Challenges44:56 The Sovereignty Game vs. Venture Game51:12 Concluding Thoughts and Contact Information52:57 The Treasure Hunt and AI DependenciesKey InsightsThe Shift from Cost-Plus to Cost-Minus in Government Contracting – Historically, aerospace and defense contracts operated under a cost-plus model, where companies were reimbursed for expenses with a guaranteed profit. Gabe explains how the shift toward cost-minus (firm-fixed pricing) is driving efficiency and competition in the industry, much like how SpaceX drastically reduced launch costs by offering services instead of relying on bloated government contracts.Satellite Imagery Has Become a Crucial Tool for Businesses – Beyond traditional defense and intelligence applications, high-resolution satellite imagery is now a critical asset for hedge funds, investors, and commercial enterprises. Gabe describes how firms use satellite data to analyze parking lots, monitor supply chains, and even track cryptocurrency mining activity based on power line sagging and cooling fan usage on data centers.Space Technology is More Business-Driven Than Space-Driven – While many assume space startups are driven by a passion for exploration, Umbra's success is rooted in strong business fundamentals. Gabe emphasizes that their focus is on unit economics, supply-demand balance, and creating a profitable company rather than simply innovating for the sake of technology.China's Growing Presence in Space and Regulatory Challenges – Gabe raises concerns about China's aggressive approach to space, noting that they often ignore international agreements and regulations. Meanwhile, American companies face significant bureaucratic hurdles, sometimes spending millions just to navigate licensing and compliance. He argues that unleashing American innovation by reducing regulatory friction is essential to maintaining leadership in the space industry.Profitability is the Ultimate Measure of Success – Unlike many venture-backed space startups that focus on hype, Umbra has prioritized profitability, making it one of the few successful Earth observation companies. Gabe contrasts this with competitors who raised massive sums, spent excessively, and ultimately failed because they weren't built on sustainable business models.Satellite Technology is Revolutionizing Disaster Response – One of the most impactful uses of Umbra's satellite imagery has been in wildfire response. By capturing images through smoke and clouds, their data was instrumental in mapping wildfires in Los Angeles. They even made this data freely available, helping emergency responders and news organizations better understand the crisis.Philosophy and Business Strategy Go Hand in Hand – Gabe highlights how strategic thinking and philosophical principles guide decision-making in business. Whether it's understanding investor motivations, handling conflicts with empathy, or ensuring a company can sustain itself for decades rather than chasing short-term wins, having a strong philosophical foundation is key to long-term success.

Intuitive Machines' lunar lander Athena is heading to the Moon. Varda's W2 spacecraft lands back in the Australian outback after completing its second mission. Astroscale Japan has been awarded a 7.27 billion yen contract by Japan's Ministry of Defense to develop a responsive space system demonstration satellite prototype, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest Our guest today is Colleen McLeod Garner, Commercial Strategist and Brand Developer. You can connect with Colleen on LinkedIn.  Selected Reading IM-2 | Intuitive Machines Astroscale Japan Secures Contract with Japanese Ministry of Defense to Develop a Responsive Space System Demonstration Satellite Prototype Nikon Selected to Implement the Space Strategy Fund at JAXA "Innovative Technology for Lightweight, High Performance, and Lower Cost Space Transportation Systems"  Lumen Orbit changes name to Starcloud and raises another $10M for space data centers Weather Stream Awarded ONR Contract to Advance SPECTRUM for Environmental Remote Sensing Satellogic EarthView Dataset Now Openly Accessible via Registry of Open Data on AWS Virgin Galactic Announces Fourth Quarter and Full Year 2024 Financial Results and Provides Business Update Etihad-SAT  Blue Origin Announces Crew For New Shepard's 31st Mission T-Minus Crew Survey We want to hear from you! Please complete our 4 question survey. It'll help us get better and deliver you the most mission-critical space intel every day. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the Tyler Tech Podcast, we explore how data is strengthening resilience in government operations, fostering transparency, and driving innovation in the public sector. With Open Data Day approaching, now is the perfect time to discuss how making data more accessible can empower communities, improve decision-making, and enhance public services.Justin Bruce, director of client services for Tyler's Data & Insights Division, shares his expertise on the role of open data in government. Drawing from his experience deploying open data solutions for the City of Jackson, Mississippi, Justin discusses how governments can leverage data to improve resident engagement, increase operational efficiency, and bolster resilience across multiple areas—including cybersecurity, disaster management, and economic development.Throughout the conversation, Justin highlights real-world examples of how public sector organizations are using data to improve transparency, enhance service delivery, and make data-driven decisions that benefit their communities. He also shares insights into the emerging trends shaping the future of government data, including artificial intelligence (AI), predictive analytics, and digital accessibility.Tune in to learn how public sector leaders can harness the power of data to build more resilient, responsive communities while ensuring security, accuracy, and public trust.This episode also highlights Tyler Connect 2025, our annual conference designed to bring public sector professionals together to empower, collaborate, and imagine. Join us in San Antonio, Texas, from May 11–14, 2025, for product training, networking, and inspiration to help drive your organization forward. Early registration is now open — visit tylertech.com/connect to secure your spot!Blog: Let's Empower, Collaborate, and Imagine at Connect 2025!And learn more about the topics discussed in this episode with these resources:Download: Building a Resilient GovernmentDownload: Digital Access and Accessibility in the Resident ExperienceDownload: Revolutionizing the Government Workforce With AIDownload: A Digital Guide to Modernizing the Resident ExperienceDownload: Digital Access and Accessibility in the Resident ExperienceVideo: See How Data is Connecting an Ohio CountyBlog: Excellence 2024: Data & Transparency SolutionsListen to other episodes of the podcast.Let us know what you think about the Tyler Tech Podcast in this survey!

The Caribbean region ranks lowest in statistical performance compared to other regions, and studies have estimated the value of Open Data alone could contribute between 1% and 2% to the national GDP of Caribbean countries. The ‘Data Queen' herself, Raquel Seville, is back to discuss her new start-up, Dataffluent, which is offering financial and investment insights on underserved markets, including those in the Caribbean region. During our conversation, she discusses, among other things,    *  the problem Dataffluent is trying to solve;   *  what it is like to be a woman in tech AND a woman in finance;   *  the challenges of training AI models for us in developing countries; and   *  the advice she would give to other young tech start-ups.   The episode, show notes and links to some of the things mentioned during the episode can be found on the ICT Pulse Podcast Page (www.ict-pulse.com/category/podcast/)       Enjoyed the episode?  Do rate the show and leave us a review!       Also, connect with us on: Facebook – https://www.facebook.com/ICTPulse/   Instagram –  https://www.instagram.com/ictpulse/   Twitter –  https://twitter.com/ICTPulse   LinkedIn –  https://www.linkedin.com/company/3745954/admin/   Join our mailing list: http://eepurl.com/qnUtj    Music credit: The Last Word (Oui Ma Chérie), by Andy Narrell Podcast editing support:  Mayra Bonilla Lopez ----------------

Discover how OpenRank is transforming decentralized social networks with open data and transparent algorithms. In this video, we explore how OpenRank powers reputation systems, leaderboards, and channel tokens on Farcaster, creating sustainable and engaging onchain communities. Learn how OpenRank's verifiable algorithms and Cura's AI moderation tools are setting a new standard for trust and innovation in decentralized social.

Here's a podcast description for our GEOINT 2024 recap episode, highlighting major themes from the conference. This is an AI podcast experiment aggregating our content helping analyze and bring focus on what's important. Tune in and listen in. Join us for a deep dive into the highlights of the GEOINT 2024 Symposium! This year's conference in Orlando, Florida, was packed with exciting developments, and we're here to break down the key themes and trends that emerged. We'll explore how the geospatial intelligence community is evolving, discussing everything from cutting-edge technologies to the expanding role of commercial partnerships. In this episode, we'll cover: * The Proliferation of Satellites and Data: The sheer number of satellites being launched, including small sats with impressive capabilities, is revolutionizing GEOINT. We'll discuss the implications of this increased access to imagery, the variety of sensors, and how it impacts different markets. * The Rise of AI and Machine Learning: Artificial intelligence (AI) and machine learning (ML) are no longer just buzzwords. They're critical for analyzing the vast amounts of data being generated. We'll explore how these technologies are being used in areas such as cloud removal from imagery, object detection, and identifying lithium mines. We'll also examine how the industry is tackling the challenge of labeling data to build reliable AI tools. * The Importance of Open Data and Standards: The need for open data and interoperability was a major topic of conversation. We will discuss the importance of machine-readable data, ethical considerations, and the efforts of organizations like the Open Geospatial Consortium (OGC) in setting standards. * Commercial Partnerships and Innovation: The increasing role of commercial companies and their innovative solutions was clear. We'll touch on how these partnerships are driving progress and what it means for the future of the industry. This includes discussions of commercial providers like Albedo, Astera, Capella Space, Maxar, and Pixxel. * Cybersecurity and Data Protection: With the increase in data and reliance on technology, security is paramount. We'll discuss the need to safeguard data, address potential cyber threats, and explore strategies for managing risk in a complex environment. * Workforce Development and Data Literacy: There's a growing need to train analysts and other professionals to effectively use the available data and tools. We'll touch on initiatives to increase data literacy, as well as the critical role of coaching to optimize personnel. * The Expansion of GEOINT Applications: GEOINT is expanding beyond its traditional defense and intelligence applications into a variety of sectors including agriculture, energy, disaster response, and financial services. We'll look at some of these non-traditional areas where geospatial data is making an impact.

Round 2 of our Money 20/20 highlights includes Glen's interviews with a trio of founders- Andre Vellozo of DrumWave and Brittany Kaiser of the Own Your Data Foundation about a model allowing consumers to control and monetize the data they generate, and Eli Wachs of Footprint about combating fraud by whitelisting the good guys. Also- Bitcoin blows up and Cap One/Discover makes a comeback.    Links related to this episode:   Footprint: https://onefootprint.com/ DrumWave: https://drumwave.com/ Glen's blog on Money 20/20 key takeaways: Part 1 of our Money 20/20 coverage, including interviews with Paze and Eisen: https://www.big-fintech.com/Media?p=onboarding-and-offboarding-at-money-2020 Part 2 of our Money 20/20 coverage,Gen AI, Open Data and a Cloud of Dust: https://www.big-fintech.com/Media?p=money-2020-takeaways-gen-ai-open-data-and-a-cloud-of-dust McKinsey's Digital Payments Survey: https://www.mckinsey.com/industries/financial-services/our-insights/banking-matters/state-of-consumer-digital-payments-in-2024 “The Great Hack” documentary, featuring whistleblower Brittany Kaiser (now of DrumWave): https://www.youtube.com/watch?v=iX8GxLP1FHo The Innovation Club, curated by John Best of BIG: https://www.big-fintech.com/Innovation-Club/Technology   Join us for the next CU Town Hall on Wednesday November 20 at 3pm ET/Noon PT for a live and lively interactive conversation tackling the major issues facing CUs today. It's free to attend (credit union employees might even win a door prize!), but advance registration is required:  https://www.cutownhall.com/  Find us on X at @bigfintech, @jbfintech and @154Advisors You can also follow us on LinkedIn: https://www.linkedin.com/company/best-innovation-group/   https://www.linkedin.com/in/jbfintech/ https://www.linkedin.com/in/glensarvady/

Kate Berry, a reporter for American Banker, and Christopher Williston, the CEO of the Independent Bankers Association of Texas, go in-depth to discuss the CFPB's final Section 1033 rule, which implements open banking. They tackle which institutions are most at risk from the final rule, why trade groups are suing to block it, and how the CFPB is responding to bank fears it will spur more fraud.

HData provides software solutions that streamline regulatory reporting and data management for the energy industry, focusing on utilities and regulatory bodies. They are a Techstars startup with two rounds of VC funding. Before HData, Hudson served as an attorney and advisor at the U.S. Securities and Exchange Commission (SEC), advocating for data transparency in financial and regulatory disclosures. He also founded the Data Coalition, a nonprofit organization focused on advancing data transparency in government. He is widely recognized for promoting open data standards and leveraging technology to improve regulatory compliance and efficiency. In this episode, you'll learn these four important takeaways. How they turn unstructured energy regulatory data into business intelligence The benefits of SAFE vs. convertible notes for founders Why most crises are not existential threats His recovery from alcoholism and what it means for his company culture

Rolf Kleef, former CTO and Senior IATI Consultant with Data4Development, shares his views on Signpost's new AI Lab and on the integration of AI into humanitarian operations with Humanitarian AI Today's podcast producer Brent Phillips. Rolf specializes in helping civil society initiatives with online collaboration, transparency, open data sharing, algorithms, and ethical AI. Brent and Rolf use the interview to discuss the International Aid Transparency Initiative and run through a list of questions for Humanitarian AI Today Live, the podcast's new video channel. Rolf answers questions on the mapping of humanitarian AI initiatives, AI powered chatbots, how Signpost's AI Lab aims to collaborate with humanitarian organizations, AI governance and how the humanitarian community should approach improving transparency and accountability around AI, AI learning goals, open data sharing in the AI age and other subjects of interest to staff from humanitarian organizations interested in humanitarian applications of artificial intelligence.

Chapter 1What is OpenIn his daring memoir "Open," Andre Agassi, former world number one tennis player, offers an unflinching glimpse into his life, revealing the burdens and breakthroughs that characterized his career. From an early age, Agassi was thrust into a world ruled by rigorous training and high expectations, his life dictated by a father obsessed with his success in tennis. The memoir unfolds Agassi's distinct dislike for the sport, a revelation that stuns, given his profound achievements. Through candid narratives, Agassi discusses his rise to fame, his battles with confidence, and his struggle for a sense of purpose. The emotional depth of "Open" explores his transformative journey of self-discovery and the search for fulfillment beyond the tennis court. At its heart, the book teaches profound life lessons on perseverance and the importance of forging one's path, making it a resonant read for anyone feeling trapped in their life's storyline.Chapter 2 Meet the Writer of OpenIn his autobiography "Open," Andre Agassi uses a candid and reflective writing style to convey the emotions and experiences of his life and career. His language is straightforward and unadorned, reflecting his open and honest approach to sharing his personal journey. Agassi effectively uses vivid descriptions and personal anecdotes to engage the reader and provide deep insights into his struggles and triumphs. This direct and personal tone helps readers connect emotionally with his narrative, enhancing their understanding of his complex feelings towards tennis and his own identity. Through this clear and expressive style, Agassi effectively communicates the highs and lows of his life, making "Open" a compelling and emotionally resonant memoir.Chapter 3 Deeper Understanding of OpenTo address your inquiry accurately, it is crucial to define what "Open" refers to in this context. The term can refer to various concepts, including:1. Open Access: Refers to the practice in academia and research of making scholarly works available online free of charge.2. Open Source: Initially a term used in software development to mean that the source code of the software is open for anyone to review, modify, and distribute.3. Open Data: Pertains to the idea that data should be available to everyone to use and republish without restrictions.4. Open Government: A commitment by governments to be more transparent, participatory, and collaborative.5. Open Education: Resources, tools, and practices that employ a framework of open sharing to improve educational access and effectiveness.Assuming the question pertains to these or similar concepts, here's an exploration of the impact of "Open" across different fields: LiteratureIn literature, open access has significant implications. It has allowed a much wider distribution of works, which were previously confined by copyright and publishing barriers. Authors can share their works freely, reaching a wider audience, and readers from around the world can access a broad range of literature without cost. This democratization of content has challenged traditional publishing models and posed questions about copyright importance and revenue models for authors. CultureOpen culture, which includes Open Access and Open Data, has fostered a more inclusive environment where various cultural products are easily accessible to a broad segment of the population. This has undoubtedly led to a more informed and culturally aware society. Furthermore, open cultural resources have empowered underrepresented communities by providing them greater access to cultural production and participation. SocietyThe broader concept of Open has deeply influenced society, particularly through Open Source and Open Data movements:- Open Source Software such as...

The open banking community has long believed the path to open data starts with open banking. The general idea is that the common standards used to share banking data will inevitably expand in scope, leading to open data standards which will eventually cover all sectors of the economy. Australia, unique among open banking regions, has been on that road for several years now, although some now say their ambitious regulatory effort, the Consumer Data Right (CDR), has fallen short of its initial bold vision. In this episode, Eyal sits down with Jamie Leach, a self-proclaimed data champion, who recently joined Raidiam as their Open Data Strategist. She is also the regional director of FDATA Australasia, and the founder of Open Data Australia. Jamie and Eyal discuss the origins of open banking and the CDR in Australia, some of the significant challenges the effort now faces, and predictions for where it is headed in the future.Specifically they discuss: The origins of Australia's foray into open dataWhat made CDR so ambitious and forward-thinkingThe challenges that have caused the CDR to stallHow ConnectID offered a market-driven alternativeWhere Australian open banking is headed from here

Industrial Talk is onsite at OMG, Q1 Meeting and talking to Richard Robinson, Chief Strategist and Author with Bloomberg LP about "Open Data and Standards Development for All". Scott MacKenzie and Richard discuss the importance of standardizing financial data modeling to improve data quality, with Richard highlighting the challenges of keeping track of multiple identifiers for the same company across different countries and exchanges. They also discuss the adoption and governance of financial data standards, with Scott MacKenzie highlighting the high demand for Figgy data and the importance of open source licensing for good governance. Richard Robinson and Scott MacKenzie then engage in a conversation about the significance of standards in the digital age, with Richard emphasizing the need for standards to ensure interoperability and facilitate innovation, while Scott expresses his amazement at the complexity of standards and their impact on everyday life. Action Items [ ] Continue work on further revisions and enhancements to the FIGI standard. [ ] Provide contact details to listeners interested in learning more about FIGI. [ ] Publish Richard's contact information on the Industrial Talk platform for connections. Outline Open data standards for financial instruments, including Figgy and LSI legal entity identifier. Scott MacKenzie welcomes Richard Robinson to the podcast, praising his work with OMG and Bloomberg. Richard Robinson shares his experience with OMG, including his role as Chair of the Financial Services DTF. Richard (Bloomberg) explains how Figgy (open data standard) addresses issue of multiple identifiers for financial instruments, making them more accessible and transparent. Richard discusses how Bloomberg's Figgy identifier is free and open data, unlike other identifiers that require payment, and how it can help commoditize financial data. Standardizing financial data modeling using Figgy 1.0. Richard discusses the evolution of the Financial Industry Business Ontology (FIBO) standard from a proprietary model to an open standard through the Object Management Group. Richard explains how Figgy assigns unique identifiers to financial instruments, such as IBM common stock, to enhance data quality and provide an open way to access the data. Richard worked with financial services companies to address the same problem of maintaining internal databases and systems to keep data quality consistent, and Figgy helps enhance that effort. Adoption and governance of a standard for financial data. The Figgy standard is being widely adopted with 14 billion API requests per month globally. Keiko, a firm in France, became a certified provider for cryptocurrencies after accreditation. Speaker discusses importance of proper identification and transparency in financial industry. Standards and regulations in various industries. Richard discusses importance of standards in various industries, including construction and technology. Richard Robinson discusses the importance of standards in data wrangling at OMG Q1 meeting. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the

The National Institute of Standards and Technology (NIST) has taken steps to accelerate the processing of software and hardware vulnerabilities in the National Vulnerability Database by awarding a new contract to an outside vendor. This move aims to clear the backlog of unanalyzed vulnerabilities by the end of the fiscal year, demonstrating a commitment to cybersecurity.However, amidst this positive development, the closure of the Affordable Connectivity Program (ACP) poses a threat to internet access for nearly 60 million low-income Americans. The lack of funding has led to the discontinuation of the program, leaving many households in financial distress. Efforts to extend the program through bipartisan legislation have stalled, highlighting the importance of government support in ensuring equitable access to essential services.On the cybersecurity front, the dismantling of the 911 S5 proxy botnet, the world's largest, and the arrest of its administrator in Singapore, Yun-Hee Wang, showcases international efforts to combat cybercrime. The botnet, which conducted various illicit activities, underscores the ongoing challenges in cybersecurity and the need for robust measures to protect against such threats.Furthermore, the episode delves into the gender disparity in the cybersecurity workforce, with only 20-25% being female. Factors contributing to this gap include unconscious bias and a lack of female role models. The discussion emphasizes the importance of addressing these issues through strategies such as unconscious bias training, diversifying recruitment efforts, and providing support for women in cybersecurity roles to foster a more inclusive and diverse industry. Four things to know today00:00 NIST Accelerates Vulnerability Processing as ACP Closure Threatens Internet Access for Millions02:28 Live Nation Breach Highlights Growing Cybersecurity Concerns as 83% of Firms Plan Budget Increases04:11 Open Formats Transform Data Industry: Snowflake, Databricks, and the Future of Cloud Services05:26 CompTIA Data Highlights Cybersecurity Gender Disparity: Strategies for Recruitment and Retention Supported by:  https://coreview.com/msp/ All our Sponsors:   https://businessof.tech/sponsors/  Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/ Support the show on Patreon: https://patreon.com/mspradio/ Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social

--- GovEx Executive Director Amy Holmes introduces highlights from the organization's recent event marking the DATA Act's 10th anniversary--- In the latest episode of GovEx Data Points from the Bloomberg Center for Government Excellence, GovEx Executive Director Amy Holmes, a key figure in the passage and implementation of the 2014 DATA Act, reflects on the organization's recent event marking the law's 10th anniversary at the new Hopkins Bloomberg Center in Washington, DC. The DATA Act, the nation's first open data law, standardized data for more than $6 trillion in annual spending and enabled taxpayers to monitor how federal funds are allocated and trace those funds to direct investments in their community. It became a model for open data laws around the country and around the world.--- Learn more about us at govex.jhu.edu--- Fill out our listener survey!