Podcasts about Apis

This week on the Omni Talk Retail Fast Five podcast, sponsored by the A&M Consumer and Retail Group, Simbe, Mirakl, and Ocampo Capital, we examine Shopify's proactive stance on AI agent regulation. Shopify is drawing boundaries around agentic AI with new language in merchant websites' robots.txt files, stating "scraping, buy from me agents, or any end-to-end flow that completes payment without a final review step is not permitted." The move shows Shopify thinking ahead to protect its ecosystem while directing legitimate integrators to use official APIs.

Send us a textSecurity vulnerabilities lurk in the most unexpected places – even in your home internet modem. Today we kick off with breaking news about a security flaw discovered in Cox modems that could potentially allow unauthorized access to run malicious commands on connected devices. While Cox reports fixing the issue within 24 hours, this real-world example perfectly illustrates a critical concept we explore further: how exposed APIs often become significant data exfiltration points because organizations fail to track and manage their connections properly.Diving into our CISSP Question Thursday, we tackle fifteen practice questions specifically targeting Domain 3.1.2 and 3.1.3 concepts. These questions explore fundamental security principles including encryption standards (why AES-256 trumps proprietary algorithms), access controls (how custom APIs demonstrate both abstraction and access restriction), and defense in depth strategies (protecting data across multiple states). Each question builds practical understanding of how these principles apply in real-world scenarios – from secure boot configurations that hide complexity from users to the dangers of storing all encryption keys on a single, inadequately protected server.The beauty of these practice questions lies in their practical applications. We examine how stenography conceals data within other files, how security defaults strengthen systems through pre-configuration, and how patching vulnerabilities relates to maintaining secure environments (while acknowledging that patches themselves can sometimes introduce new issues). Whether you're actively preparing for the CISSP exam or simply looking to strengthen your cybersecurity knowledge, these practice scenarios provide valuable training in identifying and addressing common security challenges. Visit cisspcybertraining.com to access this episode's questions and many more resources to support your cybersecurity journey.Gain exclusive access to 360 FREE CISSP Practice Questions delivered directly to your inbox! Sign up at FreeCISSPQuestions.com and receive 30 expertly crafted practice questions every 15 days for the next 6 months—completely free! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

Recebemos o Daniel Romeiro — mais conhecido como Infoslack — para mergulhar de cabeça no universo em ebulição de Inteligência Artificial, DevOps e Machine Learning. Neste episódio, exploramos como filtrar o ruído do hype com uma abordagem de filtro reverso e discutimos os bastidores do deploy de modelos de Machine Learning em produção.Trocamos experiências sobre observabilidade avançada em pipelines de IA e compartilhamos insights sobre como acumular habilidades DevOps ao longo da carreira, sem jamais perder o pé no chão. Entre uma piada e outra, analisamos também o impacto dos testes A/B em tempo real e a complexidade de gerenciar artefatos de IA em escala.Por fim, refletimos sobre as perspectivas futuras: qual será o próximo grande passo para SREs que querem continuar relevantes em um cenário dominado por IA generativa? Nós conversamos sobre como arquiteturas mal planejadas podem se tornar gargalos de latência e apresentamos estratégias para garantir alta disponibilidade mesmo quando as APIs externas decidem ficar fora do ar.Links Importantes:- Daniel Romeiro - https://www.linkedin.com/in/infoslack/- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes!https://getup.io/zerocveO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

In this episode, Kwindla Kramer, co-founder and CEO of Daily and creator of the open source Pipecat framework, joins us to discuss the architecture and challenges of building real-time, production-ready conversational voice AI. Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages the complexities of multi-turn conversations. We explore why many production systems favor a modular, multi-model approach over the end-to-end models demonstrated by large AI labs, and how this impacts everything from latency and cost to observability and evaluation. Kwin also digs into the core challenges of interruption handling, turn-taking, and creating truly natural conversational dynamics, and how to overcome them. We discuss use cases, thoughts on where the technology is headed, the move toward hybrid edge-cloud pipelines, and the exciting future of real-time video avatars, and much more. The complete show notes for this episode can be found at https://twimlai.com/go/739.

Ep. 172 features Richard Acosta from Vor Interactive, a UK-based sports data provider creating proprietary first-party data and predictive models.    Hear him discuss: How a soccer algorithm built by his co-founder sparked Vor's launch and first predictive model Why their proprietary data now generates 2,000+ prediction points per soccer match across 50+ global leagues How they've expanded from soccer into NFL, college sports, cricket, and tennis while focusing on first-party data Why they chose a B2B model delivering data products to affiliates and operators instead of professional betting How their predictive data powers both marketing widgets and pricing models for iGaming companies How Vor designed a simple integration process that lets partners go live in under 48 hours The early traction they've seen with Odds Shark in the US and Hub Affiliations in Italy, including strong early conversion rates Why Richard believes staying lean and agile is key as they scale globally and expand their APIs and productized solutions His long-term vision to grow Vor Interactive into a major global sports data supplier over the next five years   Applications now open for SBC Summit First Pitch competition returning to Lisbon this September 16-18. Eligible startups can submit their applications until July 25 for a shot at over $100,000 worth of prizes.    Catch the video version of this episode here.   Learn more

Listen now: Spotify, Apple and YouTubeWhat if you had a personalized AI toolkit—not just a chatbot—that actually remembered your projects, your workflows, and even your family's preferences?In this episode, Marc and Ben sit down with Mike Bal, a product leader experimenting at the frontier of AI tooling. Mike shares how he built a local memory system for Claude using Model Context Protocols (MCPs), enabling persistent knowledge graphs that connect everything from his product designs to his family's vacation plans. They walk through how it works—step-by-step—including a live demo of Fleur (essentially a mini app marketplace to make it easy for non technical people to add MCPs to Claude), how Mike structures entities and relationships, and why this setup beats traditional RAG approaches for real-world usage.If you've ever wanted your AI to truly understand you and the work you do—or you're curious how a product leader uses AI to streamline everything from design reviews to family logistics—this episode is packed with real-world inspiration and actionable examples.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

Send us a textThe medieval castle with its moat, high walls, and sentries provides the perfect metaphor for modern cybersecurity. Just as each defensive element served a specific purpose in protecting the castle, today's information security requires multiple layers working in concert to safeguard digital assets.Shon Gerber opens this episode with a timely discussion of the UnitedHealthcare ransomware attack, which reportedly cost $22 million and sparked controversy around the CISO's qualifications. This real-world example perfectly frames the importance of defense in depth strategies that could have prevented such a catastrophic breach.The core of defense in depth involves implementing multiple security controls that protect various aspects of information systems. Shon walks through each layer, starting with perimeter security (firewalls, IDS/IPS systems), moving to access controls and data security (encryption, DLP), and continuing through system hardening and detection mechanisms. Each layer serves two crucial purposes: stopping attackers altogether or, at minimum, slowing them down enough that they move on to easier targets.Particularly enlightening is Shon's breakdown of abstraction in security - how operating systems, networking protocols, databases, and APIs hide complexity from users while maintaining protection. This concept extends to data hiding techniques like steganography, tokenization, and encryption that conceal sensitive information from prying eyes.The episode concludes with an examination of secure defaults - the principle that systems should ship with security enabled rather than requiring manual configuration. Shon provides practical guidance on implementing secure defaults and overcoming common challenges like vendor limitations and legacy systems.Whether you're studying for the CISSP exam or looking to strengthen your organization's security posture, this episode delivers actionable insights on building robust, multi-layered defense strategies that balance protection with usability. Visit CISSP Cyber Training for additional resources, including practice questions and comprehensive study materials.Gain exclusive access to 360 FREE CISSP Practice Questions delivered directly to your inbox! Sign up at FreeCISSPQuestions.com and receive 30 expertly crafted practice questions every 15 days for the next 6 months—completely free! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

We discuss findings from GitBook's "State of the Docs" report (2025), for example that 90% view documentation as crucial for purchases, yet 40% of those interviewed don't track its performance. We talk of speeding up API integration, and GitBook's focus on refining adaptive and personalized documentation features, then address avoiding tunnel vision and keeping discoverability for users, underscoring the ongoing innovation in the field. Bio: Addison Schultz is a web developer & designer working and living in Tokyo, Japan. He leads the developer relations team at GitBook, a tool for technical teams to document their products and APIs. He's been working the last 7 years on collaborative tooling, worked with some of the world's leading design and development companies, providing product teams with advice and industry advice on how teams can build better products, faster.References: https://www.stateofdocs.com/2025/https://gitbook.com/docs/https://apithedocs.org/ai-docs-online-2025

Speak (https://speak.com) may not be very well known to native English speakers, but they have come from a slow start in 2016 to emerge as one of the favorite partners of OpenAI, with their Startup Fund leading and joining their Series B and C as one of the new AI-native unicorns, noting that “Speak has the potential to revolutionize not just language learning, but education broadly”. Today we speak with Speak's CTO, Andrew Hsu, on the journey of building the “3rd generation” of language learning software (with Rosetta Stone being Gen 1, and Duolingo being Gen 2). Speak's premise is that speech and language models can now do what was previously only possible with human tutors—provide fluent, responsive, and adaptive instruction—and this belief has shaped its product and company strategy since its early days. https://www.linkedin.com/in/adhsu/ https://speak.com One of the most interesting strategic decisions discussed in the episode is Speak's early focus on South Korea. While counterintuitive for a San Francisco-based startup, the decision was influenced by a combination of market opportunity and founder proximity via a Korean first employee. South Korea's intense demand for English fluency and a highly competitive education market made it a proving ground for a deeply AI-native product. By succeeding in a market saturated with human-based education solutions, Speak validated its model and built strong product-market fit before expanding to other Asian markets and eventually, globally. The arrival of Whisper and GPT-based LLMs in 2022 marked a turning point for Speak. Suddenly, capabilities that were once theoretical—real-time feedback, semantic understanding, conversational memory—became technically feasible. Speak didn't pivot, but rather evolved into its second phase: from a supplemental practice tool to a full-featured language tutor. This transition required significant engineering work, including building custom ASR models, managing latency, and integrating real-time APIs for interactive lessons. It also unlocked the possibility of developing voice-first, immersive roleplay experiences and a roadmap to real-time conversational fluency. To scale globally and support many languages, Speak is investing heavily in AI-generated curriculum and content. Instead of manually scripting all lessons, they are building agents and pipelines that can scaffold curriculum, generate lesson content, and adapt pedagogically to the learner. This ties into one of Speak's most ambitious goals: creating a knowledge graph that captures what a learner knows and can do in a target language, and then adapting the course path accordingly. This level-adjusting tutor model aims to personalize learning at scale and could eventually be applied beyond language learning to any educational domain. Finally, the conversation touches on the broader implications of AI-powered education and the slow real-world adoption of transformative AI technologies. Despite the capabilities of GPT-4 and others, most people's daily lives haven't changed dramatically. Speak sees itself as part of the generation of startups that will translate AI's raw power into tangible consumer value. The company is also a testament to long-term conviction—founded in 2016, it weathered years of slow growth before AI caught up to its vision. Now, with over $50M ARR, a growing B2B arm, and plans to expand across languages and learning domains, Speak represents what AI-native education could look like in the next decade. Chapters 00:00:00 Introductions & Thiel Fellowship Origins 00:02:13 Genesis of Speak: Early Vision & Market Focus 00:03:44 Building the Product: Iterations and Lessons Learned 00:10:59 AI's Role in Language Learning 00:13:49 Scaling Globally & B2B Expansion 00:16:30 Why Korea? Localizing for Success 00:19:08 Content Creation, The Speak Method, and Engineering Culture 00:23:31 The Impact of Whisper and LLM Advances 00:29:08 AI-Generated Content & Measuring Fluency 00:35:30 Personalization, Dialects, and Pronunciation 00:39:38 Immersive Learning, Multimodality, and Real-Time Voice 00:50:02 Engineering Challenges & Company Culture 00:53:20 Beyond Languages: B2B, Knowledge Graphs, and Broader Learning 00:57:32 Fun Stories, Lessons, and Reflections 01:02:03 Final Thoughts: The Future of AI Learning & Slow Takeoff

On this episode of Metrology Today, we go global with Sandeep Nair, founder and CEO of Metquay, whose software is helping commercial calibration labs around the world break out of the Excel rut. Sandeep's story is unlike any other: He started as a computer scientist in India, found his way into calibration by chance, and wound up building a platform that empowers labs to create their own uncertainty calculations, templates, and workflows—no “black box” required. Sandeep shares: His journey from services in India to running a tech company for metrology labs across Asia, Australia, the Middle East, and the U.S. Why most labs are still stuck in spreadsheets—and what it takes to break free How true software customization is changing the calibration business model The importance of data sharing, open APIs, and industry collaboration (and why holding your data too tightly might actually be a red flag!) How AI and modern software can help labs with quality, documentation, and even workforce training in a rapidly changing industry His vision for Metquay's unified measurement platform and what's coming next If you care about the intersection of technology, quality, and business—or just want a fresh perspective on the calibration world—this conversation will get you thinking. Listen now and connect with Sandeep on LinkedIn or at metquay.com.

In this special bonus episode brought to you in partnership with Mastercard, Suneera Madhani explores one of the biggest opportunities in fintech today: open banking. If you're a fintech founder building tools for small businesses, this episode is packed with insights to help you create more impactful, data-driven solutions. With over 33 million SMBs in the U.S. powering nearly half the workforce, the demand for modern financial tools is only growing. Inside the episode: The real reason small businesses struggle with cash flow—and how fintech can help A breakdown of what open banking is and why it matters right now Five powerful ways to leverage open banking APIs—from payments and lending to fraud prevention and financial visibility How to get started: choosing the right partners, using AI for better insights, and staying up-to-date on compliance needs This conversation is especially for founders building the next generation of fintech products that support small business success. This episode is sponsored by Mastercard. #MastercardAmbassador Learn more about your ad choices. Visit podcastchoices.com/adchoices

Episode Title: Market Resilience, Counterfeit Realities, and the Future of Authentication with Perry Nguyen of Check Check Show Notes: In this episode, I'm joined by Perry Nguyen with Check Check, a cutting-edge digital authentication platform reshaping the luxury resale landscape. Our conversation explores the parallels between nature's most resilient species and the dynamic, ever-evolving global marketplace, particularly the explosive growth of luxury resale and the counterfeit economy. Perry shares how Check Check leverages a global team of expert authenticators to verify high-value goods, including sneakers, designer items, and collectibles. With the rise of “super fakes” and consumer trust hanging in the balance, Perry explains why real-time, mobile-first authentication is no longer a luxury—it's a necessity. We dig into Perry's fascinating career journey—from scaling a cannabis startup from zero to $11M in sales, to lobbying Congress (cowboy hat and all) in support of a groundbreaking antifungal vaccine for animals. His background in the music industry also adds a creative twist to his leadership style, which I found incredibly relatable. Perry also opens up about joining Check Check just 12 months ago and partnering with co-founders Arnold Luck and Eddie Abramov to scale their sneaker authentication platform into a robust enterprise solution. With over 3.3 million app downloads and 2.2 million items authenticated, they're redefining trust in the secondary market. We wrap the conversation with a look at global expansion—including a powerful new partnership with India's Culture Kicks—and discuss how APIs and mobile tech are driving the next phase of authentication for streetwear and luxury resale. I even encouraged my brother to download the app—because if you're going to invest in high-value items, you need to make sure they're the real deal. And yes, I even share a story about tracking down an elusive 90s rock vocalist named Kurt, plus what my cousin's DIY guitar pedal business taught me about creative frustration, innovation, and self-determination in leadership.

#306: In this episode of DevOps Paradox, we delve into the role of GraphQL in modern APIs with guest Sophia Willows from Rye. They discuss the pros and cons of using GraphQL versus REST and gRPC, highlighting the efficiencies and complexities each brings to API development, especially in developer tools. They tackle common misconceptions and usage pitfalls of GraphQL, offering valuable insights into its optimal application. Sophia explains the rationale behind Rye's choice of GraphQL for public-facing APIs while opting for REST and gRPC for internal microservices, reflecting on the trade-offs between performance and flexibility. The episode also touches on the evolution of API standards and speculations on potential future innovations.   Sophia's contact information: LinkedIn: https://www.linkedin.com/in/sophia-willows/   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

How does a PowerApp become a fully-fledged software application? Richard chats with Luise Freese about her experience of taking a PowerApp built by an individual through the "onboarding process" of becoming a complete software application, including requirements, tests, deployment pipeline, security, user training, and more. It's easy to create a prototype of an application with PowerApps, but once you move beyond the basics, there's a significant amount of work that's essential to the long-term health of the app. Luise discusses how often PowerApps utilizes "free" data sources, such as SharePoint lists, rather than the underlying datasets that require a license. This hinders performance and reliability; it's better to work with the right APIs and data sources. It's also an accomplishment, as what started as an individual's automation is now a part of the suite of applications that a company depends on!LinksPower Apps and Power AutomateLuise's Blog PostMicrosoft Power Platform Center of Excellence Starter KitEntra ID for Power AppsRecorded June 27, 2025

APIs are products but they don't always get the same focus they deserve to be successful.In this episode of the Product for Product Podcast, we sit down with Deepa Goyal, Product Strategy Leader at Postman and author of API Analytics for Product Managers: Understand key API metrics that can help you grow your business, to explore what it takes to manage APIs as products.Deepa shares her journey from PayPal and Twilio to her current role at Postman, and discusses the rise of the API Product Manager and how APIs are shaping modern organizations.We explore why Deepa wrote her book, who it's for, and what product managers—whether or not they work directly with APIs—can learn from it. Deepa explains how analytics are critical for measuring API success, the unique challenges of building API products, and why developers are often the primary customers. In addition, she shares insights from her research for the book and the writing process, including how she validated her ideas and what she learned about the API lifecycle, onboarding, and product-market fit. Join Matt and Moshe as they explore with Deepa:The rise of the API Product Manager and how APIs are transforming businessesDifferent types of APIs—internal, external, and partner—and their strategic impactWhy analytics are essential for measuring API product successUnique challenges of building API products Insights from writing and validating her book, API Analytics for PMsThe impact of AI on product management and the future of APIsStrategies for API pricing and revenue modelsKey metrics and leading indicators for API adoption and activationAdvice for product managers looking to build technical skills and drive impactAnd much moreYou can connect with Deepa at:LinkedIn: https://www.linkedin.com/in/deepag/ X: @1sprintatatimeAPI Analytics for Product Managers book: https://www.amazon.com/API-Analytics-Product-Managers-Understand/dp/1803247657 You can find the podcast's page, and connect with Matt and Moshe on Linkedin:     -  Product for Product Podcast - linkedin.com/company/product-for-product-podcast    Matt Green - linkedin.com/in/mattgreenproduct/Moshe Mikanovsky - linkedin.com/in/mikanovsky/Note: any views mentioned in the podcast are the sole views of our hosts and guests,  and do not represent the products mentioned in any way.Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️

- Führungswechsel: Apple bekommt einen neuen Chief Operating Officer - Mehr Milchglas: iOS 26 Beta 3 verändert Liquid-Glass-Look - Genug ist genug: Apple geht gegen EU-Strafe vor - Himmlisch: Wie Apple mit dem Gedanken einer AWS-Alternative liebäugelte - Unsagbar schnell: Apples Transkription legt deutlich zu - Umfrage der Woche - Zuschriften unserer Hörer === Anzeige / Sponsorenhinweis === Sichere dir 4 EXTRA-Monate auf einen 2-Jahresplan über https://nordvpn.com/apfelfunk Teste NordVPN jetzt risikofrei mit der 30 Tage Geld-Zurück-Garantie. === Anzeige / Sponsorenhinweis Ende === Links zur Sendung: - Apple Newsroom: Apple bekommt neuen COO - https://www.apple.com/newsroom/2025/07/apple-announces-chief-operating-officer-transition/ - 9to5Mac: Liquid Glass in iOS 26 beta 3 deutlich lesbarer - https://9to5mac.com/2025/07/07/liquid-glass-in-ios-26-beta-3-is-much-less-dramatic-as-apple-optimizes-redesign-for-usability/ - Mac & i: Apple wehrt sich gegen DMA-Strafe - https://www.heise.de/news/500-Millionen-Euro-Strafe-Apple-legt-Berufung-gegen-DMA-Gebuehr-ein-10476924.html - Mac & i: Apple wollte angeblich ins Cloud-Geschäft einsteigen - https://www.heise.de/news/Bericht-Apple-wollte-ins-Cloud-Geschaeft-einsteigen-10474273.html - Mac & i: Apples Speech-APIs lassen Whisper in puncto Geschwindigkeit alt aussehen - https://www.heise.de/news/Speech-to-Text-Apples-neue-APIs-uebertreffen-Whisper-bei-der-Geschwindigkeit-10475198.html Wir danken unseren Unterstützern! Du möchtest den Podcast auch supporten? Hier gibt es mehr Infos: https://steadyhq.com/de/apfelfunk/about Kapitelmarken: (00:00:00) Begrüßung (00:12:25) Werbung (00:15:45) Apple TV für JC (00:21:23) Themen (00:22:24) Führungswechsel: Apple bekommt einen neuen Chief Operating Officer (00:41:04) Mehr Milchglas: iOS 26 Beta 3 verändert Liquid-Glass-Look (01:02:21) Genug ist genug: Apple geht gegen EU-Strafe vor (01:08:32) Himmlisch: Wie Apple mit dem Gedanken einer AWS-Alternative liebäugelte (01:17:59) Unsagbar schnell: Apples Transkription legt deutlich zu (01:22:18) Umfrage der Woche (01:30:48) Zuschriften unserer Hörer

In episode 79 of Venture Everywhere, Jenny Fielding talks with Jason Saltzman, founder and CEO of Relief — a mission-driven fintech company transforming how Americans navigate consumer debt. Jason shares Relief's origin story, sparked by a deep frustration with predatory industry practices and a desire to build accessible, tech-driven alternatives. Jason also discusses how Relief automates debt settlement through a mobile-first platform, making it faster, cheaper, and less intimidating for users to resolve what they owe.In this episode, you will hear:The pitfalls of traditional debt relief and how Relief provides a smarter, fairer solutionAutomating debt settlements via the app, helping users save around 50% on delinquent accountsHow AI and APIs are tailoring solutions to individual financial needsOffering in-app tools for student loan refinancing and debt consolidationChallenging stigmas around debt by normalizing financial struggles and promoting transparencyLearn more about Jason Saltzman | ReliefLinkedIn: https://www.linkedin.com/in/jasonsaltzman Website: https://www.relief.app Learn more about Jenny Fielding | Everywhere VCLinkedin: https://www.linkedin.com/in/jennyfielding Website: https://everywhere.vc/

In dieser Revision sprechen Vanessa und Schepp mit Jannik Lehmann (LinkedIn), Senior Frontend Developer bei GitLab, darüber, wie man Chat-Applikationen mit gängigen LLM-APIs erstellt. Dabei geht er au…

Two-time Emmy and three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Suli Salaam. The founder of Paint Your Heaven, on Money Making Conversations Masterclass. Here’s a breakdown of the key topics, highlights, and an about section: Key Themes & Highlights Origins of Paint Your Heaven Salaam explains the inspiration behind the company name, emphasizing the power of vision and positive thinking. He shares how the phrase Paint Your Heaven motivated him at 22 years old to pursue entrepreneurship. Full-Stack Development Expertise Salaam discusses his skills as a full-stack developer, differentiating his work from basic web design. He explains the importance of front-end and back-end development, particularly in creating complex applications like Uber. Challenges & Representation in Tech He highlights the lack of Black full-stack developers and attributes it to self-belief and limited exposure. He shares his personal journey growing up in a challenging neighborhood and how his mother and a supportive teacher encouraged him. AI & Software Innovation Salaam discusses his company’s use of AI and APIs to enhance software development. He reveals a project aimed at simplifying audio production, allowing users to clean up sound with one-click technology. Entrepreneurial Advice & Community Impact He encourages young people to embrace change and pursue careers in programming and AI. His company aims to serve businesses worldwide while also promoting positive thinking in inner-city communities. About Suli Salaam & Paint Your Heaven Suli Salaam is a full-stack developer and entrepreneur based in Kansas City. His company, Paint Your Heaven, specializes in web, app, and software design and development. The company combines technical expertise with creative design, making it a valuable resource for businesses looking to scale. Beyond business, Salaam is passionate about mentoring young people, promoting positive thinking, and helping communities embrace technology. #BEST #STRAW #SHMS Steve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Check out my newsletter at TKOPOD.com and join my new community at TKOwners.comI sat down with Michael Shimeles to talk about the most approachable path into building with AI. We got into why you don't need to be technical to start building powerful AI automations, how to sharpen your edge as a non-developer, and why “just building stuff” is the most important thing you can do right now. We covered tools like Claude, ChatGPT, Gemini, Make, n8n, and Gumloop, and even talked about wrapping these workflows in simple web apps. We also explored AI-first product ideas, smart ways to escape the “tech bubble,” and how beautiful design can become your moat.You can find Michael on X at x.com/rasmickyy and check out what he's working on at rasmic.xyzHere are direct links to all the tools, platforms, and APIs mentioned in the episode:

In this episode of the KuppingerCole Analyst Chat, Matthias Reinwarth sits down with cybersecurity CTO & analyst Alexei Balaganski to explore the dramatic evolution of API management and security. They unpack: Why APIs are now the backbone of AI agents and how MCP (Model Context Protocol) is driving a new decentralized ecosystem. The explosion of shadow APIs & hidden interfaces from your printer to your coffee machine and why they pose serious risks. How edge computing & WebAssembly are decentralizing everything, making old API gateway models obsolete. The critical need for API posture management, identity & access controls for non-human identities, and full lifecycle security even before you write a line of code. Learn why API security isn’t just a tech problem, it’s the next big business risk, how the market is consolidating, and what’s coming in the new Leadership Compass on API Management & Security.

In this episode, the gang kicks off with Canada Day banter, praising poutine and noting its July 1 celebration. The trio plans to rock RecFest UK in Knebworth, with J.T. plotting to heckle the boys. The core discussion dives into Indeed's aggressive moves to dominate hiring, forcing agencies to adopt APIs and share disposition data, reminiscent of old newspaper models, per Jim Durbin's insights. Chad critiques Recruit Holdings' push for a unified “HR matching market,” warning it's a dated cost-per-hire approach doomed to fail, like Monster's struggles. The rise of AI agents, like Jobright's ($3.2M funding) and Wisq's ($15M), sparks debate—Joel sees them revolutionizing job searches, while Chad fears “AI catfishing” inflating candidate profiles. Tech layoffs hit hard, with 22,000 cuts in 2025 (e.g., Bumble, Intel), impacting HR's talent strategies and exacerbating infinite workday risks. J.T. highlights job seekers' demand for reverse recruiting. And Ford's CEO raising wages to retain workers underscores HR's need for competitive pay to curb gig work reliance. Chapters 00:00 Introduction 05:11 AI Innovations and App Development 08:02 Upcoming 09:02 Indeed's New Strategies and Market Positioning 15:53 The Future of Job Applications and AI Agents 24:35 Layoffs and Workforce Dynamics 30:29 Reflections on Pay and Employment Trends

Ever wondered why data integration is still such a nightmare in 2025? Marty Pitt has built something that might finally solve it.TaxiQL isn't just another query language - it's a semantic layer that lets you query across any system without caring about field names, API differences, or where the data actually lives. Instead of writing endless mapping code between your microservices, databases, and APIs, you describe what your data *means* and let TaxiQL figure out how to get it.In this conversation, Marty walks through the “All Powerful Spreadsheet” moment that sparked TaxiQL, how semantic types work in practice, and why this approach might finally decouple producers from consumers in large organizations. We dive deep into query execution, data lineage, streaming integration, and the technical challenges of building a system that can connect anything to anything.If you've ever spent months mapping fields between systems or maintaining brittle integration code, this one's for you.–Support Developer Voices on Patreon: https://patreon.com/DeveloperVoicesSupport Developer Voices on YouTube: https://www.youtube.com/@developervoices/join–TaxiLang Homepage: https://taxilang.org/TaxiLang Playground: https://playground.taxilang.org/examples/message-queue-and-databaseTaxi Lang GitHub repository: https://github.com/taxilang/taxilangOpenAPI Specification (formerly Swagger): https://swagger.io/specification/YOW! Conference - Australian software conference series: https://yowconference.com/Spring Framework Kotlin support: https://spring.io/guides/tutorials/spring-boot-kotlin/Ubiquitous Language (DDD Concept): https://martinfowler.com/bliki/UbiquitousLanguage.htmlKris on Bluesky: https://bsky.app/profile/krisajenkins.bsky.socialKris on Mastodon: http://mastodon.social/@krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/–0:00 Intro

All posts and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and Geoff Belknap. Joining us is Steve Knight, former CISO, Hyundai Capital America. In this episode: Streamlining vendor evaluations  Moving beyond compliance theater The scorecard skeptics Finding the right balance Thanks to our sponsor, Formal Formal secures humans, AI agent's access to MCP servers, infrastructure, and data stores by monitoring and controlling data flows in real time. Using a protocol-aware reverse proxy, Formal enforces least-privilege access to sensitive data and APIs, ensuring AI behavior stays predictable and secure. Visit joinformal.com to learn more or schedule a demo.

Episode Topic: Graham Krizek, Founder of Voltage, joins PayPod to discuss how the Lightning Network is transforming Bitcoin from a slow and expensive currency into a scalable, real-time payment solution. He explains how Voltage helps businesses adopt Lightning infrastructure easily, and how trends like AI and stablecoins are pushing Bitcoin into mainstream use. Graham also explores the regulatory shifts and real-world applications that are unlocking Bitcoin's potential beyond just a store of value. Lessons You'll Learn: Why Bitcoin alone isn't practical for everyday transactions   How the Lightning Network enables instant, low-fee global payments   What role stablecoins and AI agents will play in the future of Bitcoin   How Voltage removes the complexity of Lightning adoption for companies   Why regulation and narrative shifts are accelerating mainstream crypto use About Our Guest: Graham Krizek is the Founder of Voltage, a company building infrastructure to make Bitcoin and the Lightning Network accessible for businesses and developers. With over a decade in the crypto space, Graham's mission is to simplify Bitcoin payments and unlock real-world use cases. Voltage provides plug-and-play APIs that allow companies to integrate Bitcoin payments in days—not months—without hiring crypto engineers. Topics Covered: The pain points of traditional Bitcoin transactions   Lightning Network: speed, cost savings, and scalability   Stablecoins on Bitcoin using Taproot Assets   AI agents and microtransactions as Lightning's killer use cases   Regulatory trends impacting Lightning adoption

Indy Sen, ecosystem marketing lead at Canva, shares his journey through tech giants like Salesforce, Box, MuleSoft, Google, and now Canva, where he's applying his unique "messaging as an API" philosophy to build an ecosystem that serves as a powerful multiplier for the entire company.• Canva's mission of empowering the world to design has evolved from consumer beginnings to enterprise solutions• The ecosystem functions as a multiplier, helping source innovations from third-party developers and technology partners• Growth from zero to approximately 700 apps in just two years demonstrates the platform's appeal as a distribution mechanism• Design principles encourage developers to create experiences that can be completed in no more than five steps• The human connection will remain the ultimate competitive advantage even as AI transforms technology• Technical enablement must be paired with commercial enablement for ecosystem success• Creating psychological safety enables teams to work at their highest point of contribution• Zen leadership balances strategic thinking with empowering teams to navigate ambiguity• Building trust requires making decisions rather than prolonging indecision• Small acts of kindness cost nothing but are remembered far longer than professional achievementsWhat makes a technology ecosystem thrive in today's rapidly evolving landscape? For Indy Sen, the answer lies at the intersection of technical excellence and human connection.At the heart of his philosophy is what he calls "messaging as an API"—treating company messaging like clean, well-structured code that can be consistently deployed across an organization. This approach has proven incredibly effective in creating clarity around ecosystem value, both internally and externally. As Indy explains, "Ecosystem is a multiplier. It helps engender brand new innovations, source them from third-party innovators like developers and technology partners, and it's also a multiplier for the business."The conversation goes through practical go-to-market strategies, from Canva's developer experience principles to Indy's legendary "Cha-Ching" program at Salesforce that transformed how sales teams engaged with partners. We explore how modern platforms balance technical enablement (making APIs accessible) with commercial enablement (helping partners achieve business success), all while nurturing genuine human connections.Perhaps most compelling is Indy's perspective on leadership in the age of AI. His "Zen leadership" approach emphasizes psychological safety, decision-making amid ambiguity, and helping team members work at their "highest point of contribution." As he puts it, "Ambiguity is okay, indecision is not."Whether you're building a platform, leading a team, or simply interested in how technology ecosystems evolve, this conversation offers valuable insights into creating lasting value through human-centered innovation. Plus, don't miss Indy's surprisingly impressive performance in our Batman trivia challenge!Indy Sen: https://www.linkedin.com/in/indysen/Indy's Sen started on the ground floor of the Salesforce AppExchange.  From there, he helped Box take on SharePoint, led developer relations at MuleSoft, did a tour of duty at Google Workspace, and even helped WeWork completely overhaul their product marketing before helping Matterport go public.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: spark@postion2.com

In this episode Karl and Taylor sit down with Mohammad Hashemi to discuss the evolution of software development with a focus on AI and its impact on backend solutions. The conversation explores the concept of 'Citizen Developers' and how non-traditional developers are leveraging AI tools to create custom software. They share insights on the use of Gadget for building applications quickly and efficiently, while also addressing the common pitfalls developers face.Episode Highlights- AI is transforming software development, especially in frontend code.- Gadget focuses on backend solutions for enterprise-level applications.- The term 'Citizen Developers' describes non-traditional developers using AI tools.- Custom software demand is often underestimated in the market.- AI can help bridge the gap for non-developers to create apps.- The future of SaaS may be challenged by the rise of custom software solutions.- Developers often underestimate the time required for software development tasks.- AI tools can assist but are not a complete solution for development challenges.- The market for development tools is expanding, not contracting.- Front-end development is becoming increasingly competitive with new tools.Find Mohammad Online- Twitter(X): https://x.com/hashemito- LinkedIn: https://www.linkedin.com/in/mohashemi/Timestamps:02:52 Exploring AI and Its Applications05:52 The Evolution of Gadget and AI Integration11:52 Backend Challenges and Opportunities in AI Development17:46 The Future of AI in Software Development19:06 The Evolution of Gadget: From Low Code to Full Control20:18 Target Audience: Who Can Benefit from Gadget?23:19 Unlocking Custom Software: The Hidden Demand25:28 Infrastructure and Scalability: The VibeInfra Advantage28:21 The Future of SaaS vs. Custom Software31:04 The Omakase Approach: Simplifying Development35:45 Practical Applications: How Gadget Empowers Developers42:27 Overcoming Developer Hesitation: Building with Confidence49:37 Navigating Developer Challenges52:42 The Evolving Landscape of Development55:45 AI's Role in Development59:38 Change Log Insights01:05:49 Picks of the WeekDev Changelog* [action required] Deprecation of legacy return APIs and improvements to return management - https://shopify.dev/changelog/deprecation-of-legacy-return-apis-and-improvements-to-return-management* Theme files are now installable at the preset level on the Shopify Theme Store - https://shopify.dev/changelog/theme-files-are-now-installable-at-the-preset-level-on-the-shopify-theme-store'* Contextual pricing and publishing APIs use backup region fallback - https://shopify.dev/changelog/contextual-pricing-and-publishing-apis-use-backup-region-fallback* Generally available: Standard product review syndication program - https://shopify.dev/changelog/generally-available-standard-product-review-syndication-program* Shop metafield definitions are now available in the Shopify Admin and Admin API - https://shopify.dev/changelog/shop-metafield-now-in-admin* Cart metafields are accessible in Shopify Functions and Checkout UI extensions - https://shopify.dev/changelog/cart-metafields-are-accessible-in-shopify-functions-and-checkout-ui-extensionsNew pagination limits for Liquid & Storefront GraphQL API - https://shopify.dev/changelog/new-pagination-limits-for-liquid-storefront-graphql-apiNew Liquid filter for displaying unit prices - https://shopify.dev/changelog/new-liquid-filter-for-displaying-unit-pricesPicks of the Week:*Taylor: Shokz open run pro - https://shokz.com/products/openrunpro2*Mohammad: Omachi noodles - https://www.hmart.com/omachi*Karl: Fernco Couplings - https://www.homedepot.com/p/Fernco-3-in-x-3-in-PVC-DWV-Mechanical-Flexible-Coupling-P1056-33/100372296Subscibe to Liquid Weekly The Newsletter!Don't miss out on expert insights and tips—subscribe to Liquid Weekly for more content like this: https://liquidweekly.com/

Wanna hear a lil secret?You (likely) have no clue what custom GPTs are capable of inside of ChatGPT. OpenAI just updated their capabilities, yet no one's talking about it. Why? The original hype and hoopla from their late 2023 launched fizzled and faded away, and now many AI users have written GPTs off. Big mistake. You won't believe what the newly upgraded GPTs are capable of.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Custom GPTs Launch & Initial ReceptionUpdated OpenAI Custom GPT CapabilitiesExpanded Model Support for Custom GPTsBusiness Applications of Custom GPT UpdatesLive Demo of New Custom GPT FeaturesInsight Synthesizer GPT's Unique AbilitiesMeeting Actionizer GPT for Business EfficiencyPersonalizing with the Updated GPT ModelsTimestamps:00:00 "Upgraded Custom GPTs Revolution"04:52 GPT Building: Web Access Only06:46 "Podcast Rambling Concerns"09:56 Benefits of Using Custom GPTs13:18 Using Custom GPTs and GPT Store17:16 Simple AI Tool Usage Guide21:32 Custom ChatGPT Limitations Explained25:17 Exploring AI's Efficiency in Tasks27:06 "AI Impact Dashboard for 2025"32:03 GPT-4 vs. GPT-3: Agentic Abilities35:33 Reasoning Models Enhance Meeting Analysis36:53 AI Meeting Summary Features40:40 Personalized NVIDIA Stock Insights42:38 GPT Custom Models: New DevelopmentsKeywords:Custom GPTs, OpenAI updates, Expanded model support, No code creation, Custom actions, GPT store, Enterprise rollout, Recommended model, O3 model, O3 Pro model, GPT-4.5, Data storytelling, AI humanizer, Multimodal capabilities, Sentiment analysis, Thematic clustering, Research analyst, Meeting actionizer, Personalized learning architect, Financial snapshot, Web search, Canvas mode, Python coding, Boolean search, AGSentic reasoning, Chain of thought, Knowledge files, Fine-tuning, Domain expertise, Automated workflows, Generative AI, Creative marketing, Information synthesis, Meeting analysis, Decision automation, Webhooks, APIs, Knowledge tokenization.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.In today's Cloud Wars Minute, I dive into Slack's bold move to restrict API access to bulk data exports, effectively blocking the use of its platform data for LLM training and signaling a strategic pivot toward proprietary AI control and heightened data security Highlights00:03 — Salesforce has changed the API Terms of Service for Slack, which will stop companies from using LLMs to ingest data from the platform. Ultimately, the new policy prohibits the bulk export of Slack data via the API and confirms that data access through Slack APIs cannot be used for LLM training.00:21 — From now on, companies will have to use Slack's new real-time search API. In a blog post by the Slack developer team, the company states that this new API eliminates the need for large data exports from Slack, keeping customer data secure while maintaining support for key use cases like permission-based search.00:56 — Now, while Salesforce and Slack say the focus is on security, there is another angle being discussed, that this move encourages a shift towards proprietary technologies. It's difficult to pinpoint this trend. On one hand, we see a push for interoperability across the industry, while on the other, Slack's announcement on the real-time research API coincided with support for the Model Context Protocol.01:25 — Data is still the currency that drives AI and sharing it recklessly with any LLM that requires access can be counterproductive from a business standpoint. Companies like Salesforce don't want to be liable for data used by third-party applications, and none of the major tech companies want to stifle innovation with overly restrictive policies. Visit Cloud Wars for more.

What if all your data and systems could work together seamlessly, breaking down silos and unlocking endless possibilities? That's the promise of data interoperability—connecting platforms and datasets to fuel smarter collaboration, sharper insights, and transformative innovation.  In this episode, we welcome Ian Godfrey, Industry Practice Lead at Moody's, who dives into the technologies, standards, and real-world challenges behind making data truly interoperable, and why it's a game-changer for businesses in today's fast-paced, interconnected world.  His conversation with host, Alex Pillow, addresses questions such as: What exactly is data interoperability, and why is it critical for organizations managing diverse systems and formats? How can companies overcome historical challenges, like manual data capture and quality issues, to build more effective interoperable systems? What role does Master Data Management (MDM) play in achieving data interoperability, and is it merely a foundation or the ultimate goal? How are advancements in AI, machine learning, and real-time APIs transforming data interoperability, and what new opportunities or risks do they bring? How can organizations balance the need for seamless data sharing with regulatory compliance and data privacy concerns? For further information, check out the resources below:    Moody's data interoperability landing pageTo learn more about Moody's please visit our website or get in touch we would love to hear from you.   

As AI continues to dominate headlines and crypto continues to evolve behind the scenes, the real story may lie in their convergence. In this episode of Tech Talks Daily, I sat down with Dan Kim from Coinbase to discuss how these two technologies are shaping the future of digital commerce and development. Dan leads the Coinbase Developer Platform, a project focused on simplifying blockchain development for millions of developers worldwide. He shared how the platform abstracts away complexity through familiar SDKs and APIs, removing the need for deep blockchain expertise. This isn't just about making it easier to code on-chain. It's about opening the door for new kinds of applications, many of which are being driven by AI. We dug into the emerging concept of "agentic commerce," where AI agents can autonomously carry out transactions using blockchain infrastructure. These agents are now capable of acting on our behalf, making purchases and managing digital assets within defined parameters. This shift is already changing how developers think about building tools for e-commerce, travel, and digital services. Dan also discussed the evolving role of creators in this new landscape. Blockchain technology combined with AI is creating new ways to monetize content, build applications, and launch experiences without relying on traditional platforms. He even shared a personal example—his own AI-powered music project that turns complex crypto topics into relatable Top 40 tracks. From the reawakening of HTTP's long-forgotten 402 payment code to the real-world implications of AI agents handling financial transactions, this conversation revealed just how quickly things are moving. For developers and business leaders alike, the fusion of AI and crypto is no longer speculative. It's here, and it's changing how we interact, build, and pay.

Stripe has established itself as a leading payment solution for both enterprises as well as startups and individual sellers. By abstracting away all the complexities of traditional payment rails through simple plug-and-play APIs, Stripe created a facile route for cross-border payments, simplifying e-commerce. Similarly, Stripe's recent integration of stablecoins could further bolster the adoption of decentralised payment solutions, be them USD or other currency proxies. This allows businesses to reach more markets, at a lower cost, with near-instantaneous settlement.Topics covered in this episode:John's backgroundStripe's missionHow Stripe solves the complexity of internet paymentsIntegrating crypto for paymentsSupported blockchainsStripe's Web3 servicesUpsides of accepting stablecoin paymentsNon-USD stablecoinsMerchant UXExpanding crypto support outside the U.S.On- and off-rampingAcquiring Bridge and PrivyThe best of both worlds: CeFi & DeFiEpisode links:John Egan on XStripe on XSponsors:Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.ioChorus One: one of the largest node operators worldwide, trusted by 175,000+ accounts across more than 60 networks, Chorus One combines institutional-grade security with the highest yields at - chorus.oneThis episode is hosted by Friederike Ernst.

If you're still building products only for humans, you're already missing out on a massive new customer base: AI agents. Joining Dev Interrupted is Andrew Hamilton, co-founder and CTO of Layer (a first-of-it's kind MCP agency) to unravel this monumental shift in how products will be discovered and consumed. He dives into how AI agents are rapidly evolving from developer tools to direct consumers of APIs and products, with new standards like the MCP spearheading this transformation by effectively creating an "app store for LLMs." This evolution demands a complete rethink of product design, packaging, and user experience for an entirely new kind of user.Andrew educates us about how successfully leveraging MCP isn't about a simple one-to-one API mapping, but about thoughtfully designing an "agent experience" based on key user workflows and providing pre-packaged capabilities. He shares insights on identifying good MCP candidates, the importance of experimentation in this fast-moving space, and how tools like Layer are defining the frontier of agent-accessible tooling.Check out:The DevEx guide to AI-driven software developmentDownload: The 6 trends shaping the future of AI-driven development Follow the hosts:Follow BenFollow AndrewFollow today's guest(s):LinkedIn: Andrew HamiltonLearn more about Layer: buildwithlayer.comReferenced in today's show:Google Cloud donates A2A to Linux FoundationGemini CLI: your open-source AI agent Meta poaches OpenAI researchersAirtable as the AI-native appSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

On this week's episode of the Dream Interpretation Podcast, Michael and Sandy unravel a chilling set of dreams from Tina—a woman with rare spiritual abilities and access to the karmic tapestry.  

In this episode of the Rental Roundtable, we sit down with Garrett Schemmel, known as “the equipment data guy,” to explore how the rental industry's relationship with data has transformed over the past decade. From mailing out quarterly pricing books to integrating real-time APIs and embracing AI, Garrett shares a firsthand look at this massive data evolution.We cover:The rise of equipment data from 2011 to todayWhy standardizing data taxonomies is still a major hurdlePractical ways rental companies can start using AI tools right nowHow AI will reshape pricing, utilization tracking, and even sales prospectingAdvice for challenging “mindset gridlock” in your business

You've probably seen the headlines about AI replacing developers, but is AI really coming for our jobs, or is there more going on?In this episode, we break down what's actually happening in the tech industry and how you can use AI to make sure you don't get left behind. We talk about the role of AI in layoffs, how it's changing software development, and why this shift is more evolution than extinction.We cover real-world examples, practical use cases for AI as a developer, and why companies are now hiring for AI skills. Plus, we explain key AI concepts like LLMs, prompts, agents, and tokenisation in classic Hot Girls Code fashion. We also share some of our hot tips on how to use AI as a tool so it can be your bestie instead of your enemy!Whether you're curious, cautious, or fully on board with AI, this episode will help you understand how to work with it—not against it!Where to Find Us:⁠Instragam⁠⁠Tik Tok⁠⁠The Hot Girls Code Website⁠Links mentioned in the episode:Check out our original AI episodes to hear about the basics and ethics behind AI: Episode 16 and Episode 17Learn more about APIs in Episode 68. What is an API?Learn more about some popular pre-trained models: Open AI's GPT, Google's Gemini, and DALL-E Learn more about popular frameworks and libraries: LangChain, LlamaIndex, and TensorFlowLearn more about AI coding assistants: GitHub Copilot, Windsurf (formerly Codeium), and ClineSponsored By: ⁠Trade Me

Send us your thoughtsIn this month's Finance Transformation Live host Hannah Munro explores how finance leaders can design scalable, resilient systems that adapt to change and support long-term growth.Key topics covered:The four pillars of future-proof finance architecture: data, APIs, expandability, and maintenanceWhy multi-dimensional data structures are essential for reporting, AI, and agilityHow to evaluate API strength, integration flexibility, and vendor transparencyAvoiding common pitfalls like over-customisation, poor data design, and dead-end system configurationsBuilding layered tech stacks to support FP&A, BI, automation, governance, and collaborationPlanning for continuous improvement: training, upgrades, and staying ahead of business needsLinks mentioned: Previous session: Finance Record to Report Maturity ModelConnect with Hannah MunroBuilding Out Your Finance Data Strategy Reporting Tools in Sage IntacctWhich Sage Product is Right For You Quiz!Book a discovery call  Explore other CFO 4.0 Podcast episodes here. Subscribe to our Podcast!

Middle East's Tech Revolution: From Regional Ambitions to Global Leadership In this episode of TechBurst Talks, Charles sits down with Danial Mausoof, Vice President of Mobile Networks for the Middle East & Africa at Nokia, to explore how the region is transforming into a global tech powerhouse. From government-driven infrastructure investments to next-gen telecom innovation, the Middle East is no longer playing catch-up — it's leapfrogging the rest of the world. We dive into: Why the Middle East is attracting global talent and tech capital The rise of private 5G networks in Saudi and the UAE How AI, network APIs, and 6G are redefining telecoms Why telcos must crack the monetisation code — or risk being left behind The role of satellite connectivity in Africa and beyond And how this region is becoming the proving ground for global telecom innovation Danial also breaks down the regional nuances, the critical importance of trust-based business culture, and what telcos must do to turn hype into actual business outcomes.     ⏱️ Show Notes:   00:00 – Welcome and Introduction 00:22 – Danial's Role and Background at Nokia 01:56 – Middle East Innovation and Visionary Leadership 03:21 – Geopolitical Risks and Stability in the Region 06:34 – Talent Influx, Trust-Based Business Culture 22:19 – Private 5G Networks in Action (ADNOC, Aramco) 26:39 – 6G, AI, and the Next Telecom Leap 29:24 – Satellite as a Complement to Traditional Networks 31:57 – Why the Middle East Is a Testbed for Global Innovation 35:37 – Final Thoughts and What's Next    

In this episode of the Automation Hangout, host George Ukkuru interviews Divya Manohar, Co-founder and CEO of  DevAssure. DevAssure is carving out a niche in the test automation landscape with its AI-centric platform designed to streamline and accelerate the testing process. Discover how DevAzure aids teams in releasing high-quality software faster by eliminating common QA challenges. Join the conversation as Divya shares her entrepreneurial journey from a software engineer to a pioneering leader in test automation. She also reveals the unique features of DevAssure, such as converting Figma designs into test cases, addressing speed vs. quality dilemmas, and the platform's robust visual testing capabilities across web, mobile, and APIs. Explore the future of QA and learn about DevAssure's upcoming innovations and partnerships to enhance the autonomous functioning of AI agents for testing, promising drastic improvements in test automation efficiency and reliability. Whether you're a QA enthusiast or an entrepreneur, this episode is packed with insights into the evolving software testing world.  

Episode 179 with Warren Myers, CEO and co-founder of AURA, a life-saving technology platform revolutionising emergency response in Africa and globally. Warren is on a mission to make safety accessible to all by building the world's first global emergency response “clearing house” that instantly connects people in distress to the nearest vetted security or medical responders, anywhere in the world.Founded in South Africa, AURA is now the continent's largest network of private emergency responders and has expanded to the UK, Kenya, and recently, the United States. Backed by a €13.5M Series B round co-led by Cathay AfricInvest Innovation Fund and Partech, AURA is scaling rapidly and embedding its smart response technology into mobile apps, wearables, insurance products, and IoT platforms, reaching over 1.2 million users and securing 200,000+ properties.Warren shares the challenges of building a tech-driven safety net in Africa, why the U.S. market presents both urgency and opportunity, and how AURA is helping under-resourced public systems by filling the gap with faster, smarter, and more affordable private response.What We Discuss With WarrenThe personal and systemic challenges that inspired Warren Myers to launch AURA and reimagine emergency response in South Africa.How AURA's smart auto-dispatch platform is making security and medical assistance instantly accessible via mobile, APIs, and IoT devices. The importance of democratising access to safety in Africa, and how AURA's low-cost subscription model reaches underserved populations.AURA's B2B2C partnerships with companies like Uber, Samsung, and FNB to integrate life-saving services into everyday platforms.The strategy and significance of AURA's $14.6M Series B raise to expand into the U.S. and launch a global emergency “clearing house.”Did you miss my previous episode where I discuss Africa's Untapped Health Data: Inside the Mission to Transform Africa's Health Data Economy? Make sure to check it out!Like this show? Please leave us a review here -- even one sentence helps!Connect with Terser:LinkedIn - Terser AdamuInstagram - unlockingafricaTwitter (X) - @TerserAdamuConnect with Warren:LinkedIn - Warren Myers and AURADo you want to do business in Africa? Explore the vast business opportunities in African markets and increase your success with ETK Group. Connect with us at www.etkgroup.co.uk or reach out via email at info@etkgroup.co.ukSubscribe to our newsletter for exclusive content, behind-the-scenes insights, and bonus material - Unlocking Africa Newsletter

APIs power the modern internet—but they're still a pain to work with. In this episode, I sit down with Simon Yu, Co-founder of Speakeasy, to explore how they're transforming API development. From automated SDKs and Terraform providers to agent-ready MCP servers, Speakeasy is redefining how APIs are built, shared, and consumed. We also delve into how AI fits into the future of developer tooling and agentic workflows.

The field of AI coding agent CLIs is crowded and getting more so by the day, and our co-host Jack has tried them all so you don't have to. The big four are: OpenAI's Codex, Anthropic's Claude Code, Google's Gemini Code, and Amazon Q, along with some lesser known CLIs like AmpCode, OpenCode, and (the already shut down) Anon Kode. After trying everything, Jack says Anthropic's Sonnet models and Claude Code are still the best.Google's quietly been working on new LLM-powered web APIs that rely on Google's Gemini Nano model to power browser features like language detection and translation, and writing and proofreading, and Mozilla is concerned devs will create apps based on Gemini's behavior.Less than two months after Figma's big Config conference, it shared it's acquired OS headless CMS Payload. Continuing the effort to make Figma a central hub for digital product creation, Figma's adding a CMS to the mix so marketers and designers can more easily update website content as needed.Timestamps:1:01 - Jack's AI tool roundup10:34 - Mozilla's concerns about Google building AI into Chrome19:16 - Figma buys Payload24:22 - Firefox gets vertical tabs27:15 - Jack's macOS 26 experiment goes wrong30:36 - Anthropic destroys millions of print books38:06 - What's making us happyLinks:Paige - Figma buys CMS PayloadJack - State of the AI CLIs: Codex, OpenCode, AmpCode, Gemini Code, Claude Code, Amazon QTJ - Mozilla's concerns about Google building AI into ChromeLightning News:Firefox v140Jack's MacOS 26 upgrade gone wrongAnthropic destroyed millions of print books to build its AI modelsWhat Makes Us Happy this Week:Paige - Rock Paper Scissors novelJack - Tamolitch Falls and Final Destination movie seriesTJ - Watkins Glen State ParkThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Get MoreHost Tedd Huff & Robert Musiala, co-leader of Baker Hostetler's Web3 Digital Assets team, break down May 2025's crypto developments.May 2025 just changed a lot for crypto and Web3. Bitcoin hit $111,970, total crypto assets reached $136 billion, & ETF inflows topped $3.3 billion in a 1 month. The SEC clarified that proof-of-stake mining isn't a security, while the DOJ dropped charges against Ethereum hackers, signaling a major shift in regulatory approach.Ethereum's Petra upgrade increased validator staking limits from 32 to 2,048 ETH, opening doors for massive institutional operations. Yield-bearing stablecoins crossed $9 billion, proving they're no longer experimental tokens. Courts in the US, UK, and EU approved using NFTs for legal service of process, creating new accountability in crypto disputes.The dark side persists: $244 million was stolen in hacks, with $157 million recovered. A Solana report found 98.7% of tokens on pump.fun showed pump-and-dump characteristics. Physical security threats against crypto executives are escalating globally.Institutional investors now represent 50% of trading volume. Circle launched real-time payment APIs, Ripple acquired Hidden Road for $1.25 billion. The convergence of regulatory clarity, institutional adoption, and technical improvements is creating perfect conditions for mainstream crypto adoption.Takeaways1️⃣ Track Validator Staking Changes2️⃣ Research Before Token Investments3️⃣ Explore Programmable Wallet Features4️⃣ Consider Legal NFT Applications5️⃣ Prepare for Staking ComplianceLinks:Guest:Robert A. Musiala Jr. LinkedIn: https://www.linkedin.com/in/robert-a-musiala-jr-esq-cfcs-b6534bb/Company:BakerHostetler: https://www.bakerlaw.com/The Blockchain Monitor: https://www.theblockchainmonitor.com/Fintech Confidential:Podcast: https://fintechconfidential.com/listenNotifications: https://fintechconfidential.com/accessLinkedIn: https://www.linkedin.com/company/fintechconfidentialX: https://x.com/FTconfidentialInstagram: https://www.instagram.com/fintechconfidentialFacebook: https://www.facebook.com/fintechconfidentialSupporters:DFNS - Offering Wallets as a Service with military-grade security and enterprise-grade scalability - https://fintechconfidential.com/dfnsSkyflow - Helping FinTechs build secure experiences without managing customer data directly - https://skyflowsecure.comUnder – Streamlines application and underwriting by digitizing PDF processes for fast digital signatures https://under.io/ftcHawk AI - Providing real-time fraud prevention and AML compliance for FinTechs - https://getHawkai.comAbout:Guest: Robert Musiala has been working in the blockchain and digital assets market since 2012 and has led multiple digital asset investigations, including as the court-appointed receiver over cryptocurrency investment funds used in a major fraud. He advises on various regulatory compliance issues involving digital assets and has drafted/negotiated agreements for a wide range of transactions in the fintech, digital assets, Web3, and NFT markets. He is the inventor of two blockchain patents and co-leader of the Web3 and Digital Assets team at BakerHostetler.Host: Tedd Huff is the founder of Voalyre and Diamond D3. He's spent over 24 years helping fintechs grow by improving payments, user experience, and go-to-market strategies. DD3 Media creates and produces content for Fintech Confidential.

“Synthetic voice isn't here to replace humans—it's here to help us talk to each other, in more languages, more clearly, and more naturally.” — Christian Stredicke, Vodia In a forward-looking episode of Technology Reseller News, Publisher Doug Green sits down with Christian Stredicke, founder of Vodia, to discuss one of the most transformational trends in voice technology: synthetic voice and its role in enhancing—not replacing—human communication. Vodia, a provider of secure, cloud and on-premise phone systems, is now embracing AI capabilities to extend its value across global industries. As Stredicke explains, synthetic voice—particularly when combined with real-time translation—can bridge the language gap that has long hindered customer service, especially in call centers. Imagine a caller in the U.S. reaching a support agent who speaks only English. With synthetic voice, that same caller could receive assistance in their native language, such as German, Spanish, or French, via a realistic AI voice—delivering not just words, but tone, accent, and emotion. This model opens the door to broader agent pools and greatly improved customer experiences. Beyond language, the podcast explores the economic and legal implications of synthetic voice, including questions of reliability and responsibility in AI-generated conversations. In high-stakes sectors like banking or healthcare, accuracy and transparency will be essential. But for everyday interactions, the ability to speak to someone in your own language—even if they're a synthetic assistant—can be transformative. Vodia's vision is to integrate synthetic voice through open APIs, enabling businesses to scale multilingual support rapidly and cost-effectively, while preserving privacy and regulatory compliance. “The more we can make communication feel natural—whether human or synthetic—the better the outcome for everyone,” says Stredicke. Learn more: https://web.vodia.com

Today, we're joined by Vijoy Pandey, SVP and general manager at Outshift by Cisco to discuss a foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, probabilistic, and noisy environment, a stark contrast to the deterministic APIs of the past. Vijoy introduces Cisco's vision for an "Internet of Agents," a platform to manage this new reality, and its open-source implementation, AGNTCY. We explore the four phases of agent collaboration—discovery, composition, deployment, and evaluation—and dive deep into the communication stack, from syntactic protocols like A2A, ACP, and MCP to the deeper semantic challenges of creating a shared understanding between agents. Vijoy also unveils SLIM (Secure Low-Latency Interactive Messaging), a novel transport layer designed to make agent-to-agent communication quantum-safe, real-time, and efficient for multi-modal workloads. The complete show notes for this episode can be found at ⁠https://twimlai.com/go/737.

In this episode, we sit down with Mathias Madsen, CEO of HolePunch, and take a wild ride through the cutting edge of peer-to-peer JavaScript development. Mathias shares his journey from accidentally discovering JavaScript in college to becoming a prolific contributor with over 1,500 open source modules. His passion? Building decentralized, peer-to-peer systems where JavaScript isn't just for the browser—it powers the entire stack.We dive deep into how HolePunch is reimagining application distribution with their Pair system—essentially turning peer-to-peer into a first-class citizen for distributing full applications, not just files. No hosting, no servers — just apps shared directly, BitTorrent-style. And because packaging and distributing Node-based apps can be painfully complex, they took things a step further by building a new runtime: Bear.js.Bear is refreshingly "bare": it strips away the heavy, opinionated APIs bundled into Node or Deno, leaving just the JavaScript core and a powerful module system. What's revolutionary here is Bear's ability to run the same codebase across desktop, mobile, and even tiny embedded devices—swapping out engines like V8, JavaScriptCore, or JerryScript depending on the platform's needs. This allows Mathias' team to write backend logic once, share it across all platforms, and iterate at lightning speed.Key takeaways:-Peer-to-peer can go far beyond media sharing — it's being used for full app distribution.-Bear.js decouples JavaScript from specific platforms, creating a universal backend that just works anywhere.-Modular design isn't just a philosophy — it's the secret to HolePunch's rapid development pace.-The combination of React Native for UI and Bear.js for backend creates an insanely productive development pipeline, fully cross-platform.If you're into JavaScript, peer-to-peer tech, or just love hearing about developers breaking the mold, this one's for you.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Insurance is no longer something consumers have to seek out—it's something they're starting to expect, automatically and intuitively. Inspired by The Future of Commerce article on embedded insurance, this episode dives into how embedded insurance is reshaping consumer expectations, bridging protection gaps, and creating entirely new business models.We unpack what embedded insurance actually is, how it differs from traditional models, and why it's poised to become a $722 billion market by 2030. From real-time underwriting to AI-driven personalization, we explore how digital transformation is turning insurance into a value-added service—built into everything from your travel booking to your online cart.What You'll Learn in This Episode:1. What Embedded Insurance Really MeansSeamless integration of insurance into product or service purchasesWhy it's showing up in flights, smartphones, appliances, and even rental platformsHow embedded insurance differs from traditional and aggregate coverage models2. Why Embedded Insurance Is Growing RapidlyForecasted to grow 6x by 2030, especially in North America and AsiaDriven by the demand for convenience, immediacy, and personalizationA customer-centric shift from selling policies to helping people buy protection3. Benefits for Consumers, Businesses, and InsurersFrictionless buying experience and tailored micro-policiesBusinesses boost customer satisfaction, loyalty, and revenueInsurers expand reach and close the global protection gap4. The Technology Powering the TransformationAPIs enabling real-time offers and pricingAI and IoT driving dynamic risk assessments and usage-based coverageBlockchain streamlining claims and increasing transparencyKey Takeaways:Embedded insurance makes protection simpler, more relevant, and part of the purchase journeyIt supports greater access, personalization, and transparency—especially for underserved marketsTechnological advances like AI, IoT, and APIs are powering smarter, more adaptive coverageThis model empowers consumers to get the right protection at the right moment, reducing complexity and improving satisfactionSubscribe to our podcast for expert insights on insurance innovation, digital customer experience, and embedded finance. Visit The Future of Commerce for analysis on how embedded models are reshaping industries. Share this episode with insurance leaders, fintech innovators, and anyone exploring the future of frictionless protection.

Traditional banking services alone aren't enough to serve the diverse needs of small and medium-sized businesses. Banks need to go further and think of their digital footprint as a launching pad for SMB owners by adding value-added services. On the show today, Mark Valentino, President of Business Banking at Citizens, and Taira Hall, EVP and Head of Enterprise Payments at Citizens, join to talk about how the bank is building more comprehensive solutions through value-added services for SMB customers. Valentino and Hall dive into how the bank is moving away from a purely transactional relationship to become more of a command center for SMB owners, highlighting how SMB owners' needs and the broader focus on CX is leading this change. Tune into the show to explore how traditional FIs can evolve to become modern digital hubs for SMB owners through the addition of Value Added Services like spend management, a focus on APIs, and a robust partnership-first strategy. Both Valentino and Hall provide a strategic overview and practical examples – melding the worlds of business banking and payments together to forge a powerful narrative about how Citizens is evolving to meet the changing expectations of small business owners.

Guest: David French, Staff Adoption Engineer, Google Cloud Topic: Detection as code is one of those meme phrases I hear a lot, but I'm not sure everyone means the same thing when they say it. Could you tell us what you mean by it, and what upside it has for organizations in your model of it? What gets better for security teams and security outcomes when you start managing in a DAC world? What is primary, actual code or using SWE-style process for detection work? Not every SIEM has a good set of APIs for this, right? What's a team to do in a world of no or low API support for this model?  If we're talking about as-code models, one of the important parts of regular software development is testing. How should teams think about testing their detection corpus? Where do we even start? Smoke tests? Unit tests?  You talk about a rule schema–you might also think of it in code terms as a standard interface on the detection objects–how should organizations think about standardizing this, and why should they? If we're into a world of detection rules as code and detections as code, can we also think about alert handling via code? This is like SOAR but with more of a software engineering approach, right?  One more thing that stood out to me in your presentation was the call for sharing detection content. Is this between vendors, vendors and end users?  Resources: Can We Have “Detection as Code”? Testing in Detection Engineering (Part 8) “So Good They Can't Ignore You: Why Skills Trump Passion in the Quest for Work You Love” book EP202 Beyond Tiered SOCs: Detection as Code and the Rise of Response Engineering EP181 Detection Engineering Deep Dive: From Career Paths to Scaling SOC Teams EP123 The Good, the Bad, and the Epic of Threat Detection at Scale with Panther Getting Started with Detection-as-Code and Google SecOps Detection Engineering Demystified: Building Custom Detections for GitHub Enterprise From soup to nuts: Building a Detection-as-Code pipeline David French - Medium Blog Detection Engineering Maturity Matrix  

Two-time Emmy and three-time NAACP Image Award-winning television Executive Producer Rushion McDonald interviewed Suli Salaam. The founder of Paint Your Heaven, on Money Making Conversations Masterclass. Here’s a breakdown of the key topics, highlights, and an about section: Key Themes & Highlights Origins of Paint Your Heaven Salaam explains the inspiration behind the company name, emphasizing the power of vision and positive thinking. He shares how the phrase Paint Your Heaven motivated him at 22 years old to pursue entrepreneurship. Full-Stack Development Expertise Salaam discusses his skills as a full-stack developer, differentiating his work from basic web design. He explains the importance of front-end and back-end development, particularly in creating complex applications like Uber. Challenges & Representation in Tech He highlights the lack of Black full-stack developers and attributes it to self-belief and limited exposure. He shares his personal journey growing up in a challenging neighborhood and how his mother and a supportive teacher encouraged him. AI & Software Innovation Salaam discusses his company’s use of AI and APIs to enhance software development. He reveals a project aimed at simplifying audio production, allowing users to clean up sound with one-click technology. Entrepreneurial Advice & Community Impact He encourages young people to embrace change and pursue careers in programming and AI. His company aims to serve businesses worldwide while also promoting positive thinking in inner-city communities. About Suli Salaam & Paint Your Heaven Suli Salaam is a full-stack developer and entrepreneur based in Kansas City. His company, Paint Your Heaven, specializes in web, app, and software design and development. The company combines technical expertise with creative design, making it a valuable resource for businesses looking to scale. Beyond business, Salaam is passionate about mentoring young people, promoting positive thinking, and helping communities embrace technology. #BEST #STRAW #SHMS Support the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.