Podcasts about use cases

In this episode of the Vacation Rental Success Podcast, host Heather Bayer sits down with Fred Bassili from Hostfully to discuss the evolving role of AI in vacation rental businesses and how short-term rental managers can use AI tools and workflows to scale operations, improve guest communication, and boost owner acquisition. Fred Bassili, a seasoned content and marketing strategist at Hostfully, brings a wealth of experience from both sides of the vacation rental industry - as a former host and now a driving force behind tech adoption and education. With a background in content development and a passion for simplifying complex technologies, Fred is on a mission to help property managers use AI in practical, hospitality-centered ways. His insights come not only from his work at Hostfully, but from years of observing the shift in industry sophistication and tech stack growth among property managers worldwide. Revolutionize Your Employee Onboarding with THRIVE Essentials: Faster Training, Stronger Teams, Better Results! Discover how THRIVE Essentials accelerates onboarding for new property management staff, boosting performance and reducing turnover. >> THRIVE Essentials Are you listening to this podcast on the move? Get to the show notes here: https://www.vacationrentalformula.com/VRS619

Show Notes: Brian Stollery talks about AlphaSense, an information provider that independent consultants and boutique firms are using to gain an edge over those who rely on chat GPT or consumer LLM tools. AlphaSense is built for this kind of work, pulling in verified content such as industry reports, broker research filings, earnings calls, expert calls, news, and internal research and internal content. It layers this with market-leading AI functionality that can read and synthesize all of it to deliver consulting-grade insights at scale. AlphaSense Explained Brian clarifies that AlphaSense is not primarily an expert network like AlphaSights, but rather a market company and enterprise intelligence search engine for the AI generation. It offers the depth and breadth of authoritative data that would be obtained from a legacy research platform with the intuitive user experience of modern AI tools. The value of AlphaSense lies in the deep, authoritative content set that is the foundation of AlphaSense, along with the speed and accuracy of the AI that allows users to quickly surface relevant insights. Brian also talks about the major categories of sources of proprietary information that feed into AlphaSense. The AlphaSense Platform The AlphaSense platform features an index where users can go to different things, such as portfolio monitors, research topics, expert insights, news, risk signals on consumer tech growth investment strategy, events, company documents, and talent job executive movements. The dashboard includes eight or nine widgets that provide a list of seven or eight articles on various topics. These articles are sourced from various sources, such as news articles or interviews with experts. The platform also has over 200,000 free recorded, transcribed expert calls, which are added to the library for analysis by the AI. How AlphaSense Gathers Information The interviewers are usually conducted by-side analysts, corporate users, and experts in respective fields. They work with corporate development teams and head of corporate strategy to conduct these interviews. The platform believes that a rising tide lifts all boats, and every expert call that happens throughout the AlphaSense is published back in the platform to further enhance and grow its library of expert calls from subject matter experts who are currently active in their industry.   AlphaSense Use Cases In management consulting, AlphaSense may not be suitable for calls that would be better suited to AlphaSights where the information is sensitive or should have restricted access.  However, the use case for AlphaSense is for commercial due diligence for private equity, where it allows users to get up to speed for engagement and quickly search across benchmark expert perspectives. This allows them to bolster their expertise within the management consulting space. AlphaSense is an institutional grade content engine that consolidates information from various sources, including expert calls, news, research reports, broker research, and more. It offers over 6000 vetted business and market news sources and trade journals, most of which require paywalls. AlphaSense allows users to bypass these paywalls and provides real-time insights from over 700 partners.   The AlphaSense Dashboard The dashboard includes relevant documents related to executive movements, risk signals, growth, and investment strategies. Users can explore the dashboard by searching for trigger words related to their watchlist of consumer tech companies. The AI can then pull relevant documents, such as expert insights, event transcripts, press releases, and news, to provide valuable insights for business development or due diligence. The Executive Search Function The document search module within AlphaSense allows users to get forensic insights from relevant documents, such as executive search, talent, and hiring practices. The AI can also generate summary responses, which are useful for top-tier consulting use cases. However, the AI may sometimes make a guess or hallucination if an answer is not available. This is why the Big Three and Big Four rely on AlphaSense for their consulting use cases. The AlphaSense Research Tool The AlphaSense generative search tool is a research analyst team in a box. The tool is designed to answer macro business questions, such as market size or pricing trends. Brian checks McKinsey, Bain and BCG's performance in 2025, including their revenue, talent, hiring, and growth areas. The AI agent breaks down these questions into subquestions and finds 3000 documents across the content library. It then extracts documents from expert calls, press releases, investor relations presentations, research reports, and sustainability reports. The AI outputs a summary of the documents. The tool is particularly useful for understanding the performance of consulting firms like McKinsey Bain and BCG. Quality Sources and Quantitative Data AlphaSense provides bullet points on McKinsey, revenue, growth, talent, and hiring, with links to expert calls and other sources of data. The AI outputs are deep linked and cited to the source, ensuring accuracy. For instance, McKinsey Sciences for Growth, a 2025 focus, integrates tech-enabled capabilities and AI. BCG reported $13.5 billion in 2024 revenue, achieving 10% global growth and expanding its workforce to 33,000 employees. AlphaSense also has sentence-level citations, ensuring every sentence is deep linked and cited to its source. AlphaSense uses various models from partners like open AI, sonnet four, and Gemini 2.5, all grounded in high-quality, relevant documents. The tool's intelligence selects the best model based on the use case, whether it's reasoning-based or quantitative or qualitative. The AI is a comprehensive market-leading library of authoritative content that consultants care about. Modes of Research and Meeting Prep for Management Consultants Brian shares the typical use cases for management consultants using generative search platforms. He highlights two modes: think longer and deep research. Brian used generative search to prepare for a meeting with a client at a mid-sized consulting firm, focusing on digital strategy. The AI summarized transcripts, expert calls, earnings calls, and press releases from iHeart, highlighting the company's focus on technology, digitization, and AI-enabled automation as the key to cost savings and digital revenue acceleration. The platform also offers an iPhone app for on-the-go access to insights. The AI analyzed bullet points and planned insights on every section, creating a comprehensive competitive intelligence report. The report includes chatter on core service offerings, engagement models, pricing structures, sector specialization, news partnerships, partnerships, and tech bets.    AlphaSense's Generative Grid Brian talks about using AlphaSense's generative grid, which is a generative AI-powered spreadsheet to aggregate documents and interrogate them. This is useful for tracking executive compensation and performance components for target accounts. The grid allows consulting users to analyze past performance and understand the current climate. Another use case is connecting consulting, transformation, and strategic advisory services to key performance indicators, such as free cash flow, human capital, strategic objectives, or EBITDA. By attaching value drivers directly to performance components, consultants can focus on adjusted EBITDA growth, cost optimization, Target, discover integration execution drive, adjusted ROTC, and revenue growth tied to executive compensation. AlphaSense for Understanding Business Development Brian explains that the use cases and projects of consultants using AlphaSense  vary, but one major use case is business development understanding. It helps in identifying companies' propensity for M&A or divestitures, such as changes in management or new strategic initiatives. AlphaSense also offers a deal scanner for M&A consultants looking at acquisitions or private equity deals across a portfolio of companies or industries. It also provides due diligence services, such as meeting prep, company research, trend analysis, market assessment, client benchmarking, and sentiment analysis. Alpha Sense's Access to Information Providers AlphaSense has access to SEC filings, newspapers, trade journals, investment bank coverage, and reports. AlphaSense also has access to other information providers like CrunchBase, capital, IQ, and Pitch Book. The Venn diagram highlights the overlap of information between AlphaSense and other information providers, such as CrunchBase, Morningstar, and CrunchBase. If a company's revenue or employee count is in CrunchBase, it can be accessed via AlphaSense. Alpha Sense vs. Capital IQ The conversation turns to the differences between AlphaSense and Capital IQ, a financial reporting platform. AlphaSense is an end-to-end intelligence engine that provides access to investment banking reports, but it requires downloading them one by one. It is not possible to search across all content sets at once. Capital IQ, on the other hand, offers valuable structured data, is great for downloading Industry Reports, and is a strategic database of financials and filings. It is also useful for importing statistical or financial models into Excel. AlphaSense, on the other hand, is an end-to-end intelligence engine that provides decision-ready insights across billions of data points. Timestamps: 03:23: Overview of AlphaSense's Content and AI Capabilities  07:27: Detailed Walkthrough of AlphaSense Dashboard 12:38: Exploring Different Categories of Information Sources  16:36: Generative Search and Deep Research Capabilities  26:05: Use Cases for Management Consultants  42:50: Comparison with Other Information Providers  49:22: Pricing and Accessibility Links: Website: https://www.alpha-sense.com/ Recently feature on AlphaSense on CNBC with more insight on our Deep Research differentiation: https://www.youtube.com/watch?v=0HJ8Egisg-w If folks want to reach out directly for their own personalized demo: Email: bstollery@alpha-sense.com LinkedIn: https://www.linkedin.com/in/briancity/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com.

Karin Lausch: Vertrauen und Sicherheit ist etwas, dass in unserer heutigen Arbeitsgesellschaft immer wichtiger wird. Studien zufolge sind gerade mal 9 % der Arbeitnehmenden in Deutschland emotional hoch an ihr Unternehmen gebunden – damit ist dieser Wert im letzten Jahr erstmals in den einstelligen Bereich gefallen. Da stellt sich natürlich die Frage, wie schaffen wir es, Mitarbeitende zu binden und in Zeiten von Performance Druck zu motivieren? Meine heutige Gästin ist Karin Lausch, eine der führenden Leadership- und Vertrauensexpertinnen und eine ihrer Antworten ist ganz klar: Wir brauchen mehr psychologische Sicherheit bei der Arbeit. Warum und wie ihr das mit euren Teams erreichen könnt, erfahrt ihr in dieser Folge. ---Werbepartner der Folge: beyobie Datenchaos im HR-Team? beyobie bringt Klarheit.Wenn es einen Frust hinter Datenanalysen im HR gibt, dann ist es dieser: zu viel Aufwand, zu wenig Aussagekraft. Mit beyobie verbindet ihr ganz einfach eure HR-Systeme und verwandelt eure HR-Daten im Handumdrehen in starke Argumente fürs Management – ganz ohne Excel-Marathon. 

Can AI diagnose medical problems? How does AI help doctors? Can AI be used in medical diagnostics? How is AI impacting the practice of medicine? Our guest is Jason Wiesner, MD, chair of the imaging service line at Sutter Health. American Medical Association CXO Todd Unger hosts.

In this episode, Ben sits down with Cooper Turley, Founder of Coop RecordsCooper has invested in and helped build many of the blockchain industry's more culture and creator focused projects. Now he is combining music, his other passion and area of expertise, with blockchain to develop a novel protocol for musical artists to distribute their music while empowering consumers to earn for their curation. Cooper is a rare talent with a deep understanding of the music and crypto industries. If anyone could figure out how crypto can disrupt the rigid, weird world of music, it's Cooper.Let's get into it. Connect with the guestCoop Records https://www.cooprecords.xyz/Follow Coop on Twitter/X ⁠⁠https://x.com/cooprecsmusicFollow Cooper Turley on X https://x.com/cooopahtroopaDisclaimer Ben Jacobs is a partner at Scenius Capital Management. All views expressed by Ben and the guests of this podcast are solely their opinions and do not reflect the opinions of Scenius Capital Management. Guests and the host may maintain positions in the assets or funds discussed in this podcast. You should not treat any opinion expressed by anyone on this podcast as a specific inducement to make a particular investment or follow a particular strategy but only as an expression of their personal opinion. This podcast is for informational purposes only.

The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in.A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate.I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code.Check out the video podcast version here https://youtu.be/l8LBqDUwtV8Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Ivan Burazin - Guest Vedran Jukic - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Intro (06:08) - Daytona's Sandbox Technology (12:57) - Practical Applications and Use Cases (14:29) - Security and Isolation in AI Agents (17:59) - Start Up Times for Sandboxing and Kubernetes (22:51) - Daytona vs Lambda (31:06) - Rogue Models and Isolation (34:54) - Humanless Operations and the Future of DevOps (47:17) - SDK vs MCP (50:15) - Human in the Loop (51:13) - Daytona: Open Source vs Product Offering

Mediamarkt/Saturn - In dieser Folge spreche ich mit Iris Pruefer, CPO, über eine der zentralen Fragen im HR-Bereich: Was macht eine wirklich gute Employee Experience aus? Gemeinsam sprechen wir über gelebte Unternehmenskultur, moderne Führung und konkrete Use Cases aus der Praxis. Wenn du wissen willst, worauf es beim Mitarbeitererlebnis wirklich ankommt, dann ist diese Folge genau das Richtige für dich. Hör rein und lass dich inspirieren!Werbepartner dieser Folge: niloVeränderung, ob intern oder extern, ist Alltag und für Mitarbeitende und besonders für Führungskräfte bedeutet das: hoher Druck und viel Stress. Genau hier setzt nilo an. nilo bietet schnellen, einfachen Zugang zu über 500 qualitfizierten Psycholog*innen – in über 50 Sprachen. Ob Einzelgespräche, Gruppenworkshops oder Live-Übungen – das Angebot ist vielfältig und flexibel nutzbar. Für unsere HR Weekly Community gibt's außerdem ein exklusives Angebot  von nilo Bei Anfrage über nilohealth.com/hr-weekly spart ihr 10 % im ersten Abrechnungsjahr – oder nennt einfach 'HR Weekly' im Erstgespräch.

Ever wish you had an extra set of hands - or better yet, an AI assistant - to take care of all those repetitive tasks in your business? In this episode, I'm taking you behind the scenes to share the exact AI-powered workflows I've built and now rely on every week at Speaking Your Brand. From automating my podcast production (yes, even these show notes!) to cloning my voice for a brand-new companion podcast, you'll get a sense at what's possible - and what's already working. I walk you through real-world examples of how I'm using AI to: Save time with automated content workflows Personalize client communication at scale Build an AI-powered knowledge base Launch a 100% AI-generated podcast using my frameworks and brand voice   I also share how these automations free up my time to do the more human work I love, including coaching, speaking, and creating programs like Automate & Amplify with AI, where I teach you how to build these systems for your own business. Whether you're a solopreneur or have a small team, this episode will get your wheels turning on what's possible when you stop doing the repetitive tasks and start building with AI. Plus, I talk about: The difference between using ChatGPT and building true automation Why I created “AI Carol” to answer podcast listener questions How we're developing a DIY version of our Signature Talk framework with ChatSYB   If you've been curious about using AI in your business, but you're not sure where to start, this is the episode to listen to. Watch the video version with slides and demos at https://www.speakingyourbrand.com/433/ Learn more and apply for the Automate & Amplify with AI program at https://www.speakingyourbrand.com/ai/   Links: Show notes at https://www.speakingyourbrand.com/433/  Check out my new companion podcast “Confident Speaker”: https://confidentspeaker.transistor.fm/  Join our Automate & Amplify with AI program: https://www.speakingyourbrand.com/ai/  Learn how we can work together on your thought leadership and signature talk: https://www.speakingyourbrand.com/work-with-us/coaching/  Connect with me on LinkedIn: https://www.linkedin.com/in/carolcox Related Podcast Episodes: Episode 432: AI Will Impact You: Here are 4 Ways to Think About It Episode 429: What Most Speakers Miss: 3 Secrets to Insightful and Inspirational Presentations  

Samuel Tschepe ist Team Lead für Design Thinking-Programme für Professionals an der HPI d-school des Hasso-Plattner-Instituts und wir besprechen die Rolle von künstlicher Intelligenz im Design Thinking. Vom Analyst, Nutzer, kreativen Partner über Designer bis Coach können unterschiedliche Aufgaben nicht nur verbessert, sondern auf ein neues, anderes Level gehoben werden. Wir schauen dabei anhand dieses Rollenmodells auch auf unterschiedliche Use-Cases und Beispiele. Samuel teilt zudem praktische Tipps, seine bevorzugten Tools und auch seine Meinung, warum wir uns gegenüber KI oft überschätzen. Auch gibt er Einblicke in kostenlose Weiterbildungsangebote der d-school. Wie immer freuen wir uns über Feedback und wenn ihr den Podcast teilt.

Jim and Chris shares listener PSAs on IRMAA and Delayed Retirement Credits, and answer questions on Social Security Spousal Benefits, annuity use cases, and fixed indexed annuity payout concerns. (13:00) A listener shares a PSA about a positive Medicare and IRMAA reduction experience at a Central Florida SSA office. (19:00) Georgette follows up with a […] The post PSAs, Spousal Benefits, Annuity Use Cases, and FIAs: Q&A #2526 appeared first on The Retirement and IRA Show.

In dieser Episode spreche ich mit Roman Dumitrescu, Direktor, Fraunhofer IEM.Wir sprechen über folgende Themen:Wie verändert Künstliche Intelligenz die Produktentwicklung im Engineering?Gibt es Risiken beim Einsatz von KI in der Produktentwicklung?Welche konkreten Use Cases gibt es für KI in der Produktentwicklung?Wie unterstützt KI die Ideenfindung und Konzeptentwicklung neuer Produkte?Erhalte jede Woche aktuelle Strategien in dein E-Mail Postfach: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.stateofprocessautomation.com/Podcast-Moderator: Christoph PacherLinkedInInterviewgast: Roman Dumitrescu, Direktor, Fraunhofer IEM.LinkedIn

On this week's Bytes: Week in Review: Apple irked customers with movie ads, the Mideast conflict reminded us of the lack of security in smart surveillance cameras, and a federal judge handed down a landmark ruling on AI's use of copyrighted works, citing a legal doctrine known as fair use.

On this week's Bytes: Week in Review: Apple irked customers with movie ads, the Mideast conflict reminded us of the lack of security in smart surveillance cameras, and a federal judge handed down a landmark ruling on AI's use of copyrighted works, citing a legal doctrine known as fair use.

Many people, even in the Church, are increasingly acceptant of things like THC or CBD, while at the same time many still demonize marijuana as a dangerous substance that can open spiritual doors.Is there truth to either side? Dr. Todd Miles talks to Ben and Chad about this contentious subject.Listen to the full episode here:SpotifyApple----------------------Do you ever struggle with how to share your faith with those who won't walk into a church?Ben has completely revised and updated his powerful book, Jesus in the Secular World: Reaching a Culture in Crisis—a must-read guide for anyone longing to reach those who may never step foot in a church. Packed with real-world insights and practical strategies, this book could be the breakthrough you've been searching for.Don't wait—get your copy today!Click HERE to check it out on Amazon.For more information go to: jesusinthesecularworld.com------------------------Questions, comments, or feedback? We'd love to hear what you think! Send them to provokeandinspire@steiger.org, or send us a message on Instagram.Click HERE to receive news, thought-provoking articles, and stories directly in your inbox from Ben, David, Luke, and Chad!Click below to follow the regulars on Instagram!Ben PierceDavid PierceChad JohnsonLuke GreenwoodSend us a text

Check out my newsletter at TKOPOD.com and join my new community at TKOwners.comHoldCo Bros are back! In this episode, Nik and I talk about a bunch of AI wrapper ideas you could build today without needing to invent anything new. We talk about using ChatGPT to create personalized trivia games for parents and kids, then turn that into a full-blown business idea, just package it as a niche mobile app. We also brainstorm an AI handyman mentor, where ChatGPT walks you through fixing stuff around the house via voice and video. Later, we go deep on how image generation tools can power things like AI-powered postcards that show homeowners what their house would look like with new paint, windows, or landscaping. All real tools. All working today. You just need to package the use case. Learn more about Nik here: http://linktr.ee/cofoundersnikShare your ideas with us:Nik@cofounders.comChris@cofounders.comTimestamps below. Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkLearn about my company: http://tkopod.co/p-cofFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---00:00 - Highlights01:00 - Trivia Game Idea with ChatGPT05:34 - Build a Family Trivia App07:45 - AI Captures Family Stories12:27 - HandymanMentors.com Idea19:37 - DIY Kits for Learning Home Repairs23:56 - ChatGPT as a Virtual Handyman28:46 - Free Gifts Hack: Mailing Wedding Invites31:07 - Personalized Postcards with AI33:31 - Live Remodel Previews Using AI

How are 500,000 people using neurofeedback to hack their sleep, stress & focus without relying on stimulants or wearables? Ariel Garten, neuroscientist & Muse co-founder, breaks down how EEG & FNIRS technology tracks brainwaves in real time to guide meditation, sharpen focus, & deepen sleep. This episode reveals how brain training stacks up against smart rings, & why heart rate variability, digital sleeping pills, & prefrontal cortex tuning matter more than ever. Meet our guest Ariel Garten is a neuroscientist & former psychotherapist who co-founded Muse, the brain-sensing EEG headband that's helped over 500,000 users reduce stress, sleep better & improve meditation. She's passionate about making brain health accessible through innovative tech that empowers people to take control of their mental well-being. Ariel is also a sought-after speaker, known for bridging science, technology & human potential. Thank you to our partners Outliyr Biohacker's Peak Performance Shop: get exclusive discounts on cutting-edge health, wellness, & performance gear Ultimate Health Optimization Deals: a database of of all the current best biohacking deals on technology, supplements, systems and more Latest Summits, Conferences, Masterclasses, and Health Optimization Events: join me at the top events around the world FREE Outliyr Nootropics Mini-Course: gain mental clarity, energy, motivation, and focus Key takeaways Learn how different brainwave types (delta, theta, alpha, beta, gamma) relate to your state of mind & focus Prioritize quality sleep, sunlight, food & loving connections as non-negotiables for long-term brain health Use clinical-grade EEG for real-time insight into brain activity as it's more accurate than wrist or ring wearables Speed up meditation progress with tech that provides real-time feedback on attention & focus Train sleep quality with biofeedback tools like the digital sleeping pill that guide the brain into deeper sleep & track stages Support relaxation & boost brainwave coherence for calm focus through heart rate variability & controlled breathing Build cognitive flexibility through regular brain training & meditation to improve adaptability & focus recovery Boost brain oxygenation, endurance & prefrontal cortex performance through physical exercise Prioritize recovery especially sleep & relaxation, for brain growth & post-training performance Stay flexible by adapting meditation, exercise & brain training schedules to life's changing demands Episode Highlights 5:30 How Muse Made Clinical-Grade Neurofeedback Accessible at Home 9:25 Use Cases for Neurofeedback & Brain Training 27:07 Connection Between HRV, Vagus Nerve, & Brainwave Activity 37:58 Designing a Minimalist Muse Protocol for Daily Use 1:02:26 Addressing Myths & Misconceptions in Cognitive Training Links Watch it on YouTube: https://youtu.be/Y1OuaYFXXdo  Full episode show notes: outliyr.com/215 Connect with Nick on social media Instagram Twitter (X) YouTube LinkedIn Easy ways to support Subscribe Leave an Apple Podcast review Suggest a guest Do you have questions, thoughts, or feedback for us? Let me know in the show notes above and one of us will get back to you! Be an Outliyr, Nick

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is being applied to one of humanity's greatest challenges: protecting the environment. From conservation and climate modeling to waste management and disaster response, AI is playing a growing role in sustainability efforts worldwide.Tune in to learn how AI is being used to:Monitor wildlife populations, migration patterns, and poaching risks using sensors, drones, and satellite imageryTrack deforestation, land use changes, and illegal activity in remote regionsPredict and manage air and water quality, including pollution hotspots and supply risksSupport climate change modeling and forecasting using historical and real-time dataOptimize renewable energy sources such as solar and wind, and balance energy gridsAssist in disaster response and recovery through damage assessment, route optimization, and coordinationImprove recycling and waste sorting with AI-powered robotics and computer visionReduce environmental risks by monitoring emissions, tailings dams, and compliance with ecological regulationsAI's environmental impact isn't just a challenge—it's also an opportunity. This episode highlights how thoughtful AI applications can help drive a more sustainable and resilient planet.

Episode 64: What if you could hire an AI intern to handle your meetings, emails, CRM, and even negotiate refunds over the phone? Nathan Lands (https://x.com/NathanLands) is joined by Flo Crivello (https://x.com/Altimor), founder of Lindy AI, a leading AI agent platform in Silicon Valley. In this episode, Flo gives a revealing look into how Lindy's AI agents are already replacing entire teams in startups by automating sales outreach, executive assistance, scheduling, meeting notes, CRM, recruiting, and even handling live phone calls and negotiations. Watch live demos, discover the smartest use cases, see how AI agents collaborate, and learn how you can start leveraging these capabilities in your own business. Plus, Flo opens up about where work and productivity are headed as AI interns get smarter and more independent. Check out The Next Wave YouTube Channel if you want to see Matt and Nathan on screen: https://lnk.to/thenextwavepd — Show Notes: (00:00) AI As Versatile Digital Interns (06:04) Calendar Management Preferences (07:34) Automated Meeting Summary Prompt (11:36) AI-Driven Decision Workflow (13:15) AI Filters Sponsorship Emails (18:02) AI Memory and Meeting Transcription (20:43) Use Examples for Better Prompts (25:07) AI Conversations: A Unique Era (26:57) Flight Canceled, Unexpected Refund (30:00) Friday Phone Check-Ins with Elon Lindy (34:15) Deepfakes Overblown, Future of Work (37:51) The Unknowable Future Beyond Singularity (38:29) Post-Work Utopia vs. Tech-Dystopia — Mentions: Want the ultimate guide on AI Agents? Get it here: https://clickhubspot.com/efh Flo Crivello: https://www.linkedin.com/in/florentcrivello/ Lindy: https://www.lindy.ai/ Claude: https://claude.ai/ Greg Isenberg's interview with Flo: https://podcasts.apple.com/mx/podcast/i-built-a-team-of-ai-agents-that-grow-my-business-24-7-full-demo/id1593424985?i=1000703493519 Get the guide to build your own Custom GPT: https://clickhubspot.com/tnw — Check Out Matt's Stuff: • Future Tools - https://futuretools.beehiiv.com/ • Blog - https://www.mattwolfe.com/ • YouTube- https://www.youtube.com/@mreflow — Check Out Nathan's Stuff: Newsletter: https://news.lore.com/ Blog - https://lore.com/ The Next Wave is a HubSpot Original Podcast // Brought to you by Hubspot Media // Production by Darren Clarke // Editing by Ezra Bakker Trupiano

When the COVID-19 pandemic hit in March 2020, Zoom went from steady growth to hyperscale almost overnight, even generating a backlog of a million tickets. Sarah Riley was a finance leader in the company at the time. She joins CJ to talk about what she learned from the experience and how it impacted her in her current role as CFO of dbt Labs. She also explains the influence of Helmer's Seven Powers framework on her strategic decisions. The discussion covers how Sarah's evolved pricing models, and helped bring product-led and sales-led growth together into a single go-to-market strategy at dbt Labs. She breaks down how she uses big systems thinking to build out a finance org, how to create healthy off-ramps for pilots, and what's actually okay to break when “moving fast and breaking stuff”. She also touches on the current use cases for AI in finance and for turning your team from “doers to reviewers”.—LINKS:Sarah Riley on LinkedIn: https://www.linkedin.com/in/sarahjriley/dbt Labs: https://www.getdbt.com7 Powers: The Foundations of Business Strategy: https://7powers.com/CJ on X (@cjgustafson222): https://x.com/cjgustafson222Mostly metrics: http://mostlymetrics.comRELATED EPISODES:Wasted Capital and Where to Find It: The CFO's Guide to Spoilage Levers Leakages: —TIMESTAMPS:(00:00) Preview and Intro(02:18) Sponsor – Pulley | Navan | NetSuite(05:53) Being at Zoom at the Start of the Pandemic(10:14) Challenges Caused by the Influx of Customers(14:06) Takeaways From Sarah's Time at Zoom: M&A and Build Versus Buy(15:49) Sponsor – Planful | Tabs | Rippling Spend(19:38) Taking Advantage of Your High Share Price for M&A(20:56) What dbt Labs Does(24:27) Pricing Evolutions at dbt Labs: Freemium and Open-Source(27:51) Seat-Based, Usage-Based, Hybrid, or Outcome-Based Pricing(30:27) Pros and Cons of a Free Component(32:17) Finance and Sales in dbt's Evolving Go-to-Market Strategy(34:09) The Evolution of dbt Labs' ICP(35:09) The Helmer 7 Powers Framework(40:39) Being a Big Systems Thinker While Building a Finance Org(44:16) Moving and Iterating Quickly: Creating Healthy Off-Ramps for Pilots(46:19) What You Can and Can't Break When “Moving Fast and Breaking Stuff”(47:32) The Current State of AI and Use Cases in Finance(51:20) Long-Ass Lightning Round: Boundary Definition(52:08) Advice to Younger Self(52:56) Finance Software Stack(55:20) Craziest Expense Story—SPONSORS:Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: pulley.com/mostlymetrics.Navan is the all-in-one travel and expense solution that helps finance teams streamline reconciliation, enforce policies automatically, and gain real-time visibility. It connects to your existing cards and makes closing the books faster and smarter. Visit navan.com/Runthenumbers for your demo.NetSuite is an AI-powered business management suite, encompassing ERP/Financials, CRM, and ecommerce for more than 41,000 customers. If you're looking for an ERP, head to https://netsuite.com/metrics and get the CFO's Guide to AI and Machine Learning.Planful's financial planning software can transform your FP&A function. Built for speed, accuracy, and confidence, you'll be planning your way to success and have time left over to actually put it to work. Find out more at www.planful.com/metrics.Tabs is a platform that brings all of your revenue-facing data and workflows - billing, AR, payments, rev rec, and reporting - onto a single system so you can automate and be more flexible. Find out more at: tabs.inc/metrics.Rippling Spend is a spend management software that gives you complete visibility and automated policy controls across every type of spend, saving you time and money. Get a demo to see how much time your org would save at rippling.com/metrics.#hypergrowth #7Powers #FinanceStrategy #bigsystemsthinking #GoToMarketStrategy Get full access to Mostly metrics at www.mostlymetrics.com/subscribe

Send us a textTodays episode vocers a comprehensive overview of Network Detection and Response (NDR) technology, explaining its core function in detecting abnormal and malicious system behaviors by analyzing network traffic data. It outlines key features such as data ingestion, detection, and response, and discusses common use cases including lateral movement and insider threat detection, even extending to Operational Technology (OT) environments. The text also reviews the current market vendors based on a Gartner Magic Quadrant analysis, differentiates NDR from other security technologies like EDR, SIM, and XDR, and explores the integration of AI in enhancing NDR capabilities.Support the showGoogle Drive link for Podcast content:https://drive.google.com/drive/folders/10vmcQ-oqqFDPojywrfYousPcqhvisnkoMy Profile on LinkedIn: https://www.linkedin.com/in/prashantmishra11/Youtube Channnel : https://www.youtube.com/@TheCybermanShow Twitter handle https://twitter.com/prashant_cyber PS: The views are my own and dont reflect any views from my employer.

In this short segment of the Revenue Builders Podcast, we revisit the discussion with Matt Maloney, SVP of Global Sales at Fireblocks, to dissect a critical lesson in sales leadership: the unwavering focus on hitting the number. Maloney recounts a pivotal mentoring moment at CloudLock that reshaped his approach to sales strategy, team structure, and market calibration. The episode also explores common missteps in early-stage startups—like trying to pursue too many use cases or building teams misaligned with the product's true market fit. It's a candid and practical masterclass for CROs, sales leaders, and founders navigating go-to-market chaos.KEY TAKEAWAYS[00:01:52] The #1 job of a sales leader isn't building teams—it's figuring out how to hit the number.[00:02:41] Calibration of resources is critical: Balance dominance in core markets with smart expansion into emerging ones.[00:03:41] A hard lesson: Building the wrong sales team for the product's actual market fit can derail everything.[00:04:24] Why focusing on 3-4 key use cases is more effective than spreading thin across many[00:05:50] Avoid copying old playbooks—be objective about your current product and ICP[00:06:35] Collaborate with technical founders: Align sales goals, use data, and define outlier strategies together.[00:07:24] Operating without a clear ICP is dangerous—know how to scale, train, and forecast from it.QUOTES[00:02:15] "Your job is not to build an enterprise sales team or an SMB team—it's to build the right team to hit the number.[00:03:41] "I was convinced our guiding light was to build an enterprise team. What I didn't realize was that our product was really suited for mid-market."[00:05:08] "You can't build world-class products, marketing, or sales training for 13 use cases. Focus is everything.[00:07:00] "Outliers are okay, but you need a plan for them. Don't pretend they're your core ICP."[00:07:47] "If you can't identify your ICP and scale from it, you're operating in dangerous water."Listen to the full conversation through the link below.https://revenue-builders.simplecast.com/episodes/blockchain-the-future-of-finance-with-matt-maloney-loysynttEnjoying the podcast? Sign up to receive new episodes straight to your inbox:https://hubs.li/Q02R10xN0Check out John McMahon's book here:Amazon Link: https://a.co/d/1K7DDC4Check out Force Management's Ascender platform here: https://my.ascender.co/Ascender/

226 | Thuy-Ngan Trinh ist Managing Director von Project A und hat viele spätere Unicorns mit aufgebaut. In dieser Crossover-Folge reden wir darüber wie der Mittelstand von AI profitieren kann - und woran er bislang scheitert.Hol dir dein Ticket für den 1. KI Gipfel in Stuttgart am 7.7. Ich bin auch auf der Bühne! Code: ALEXMROZEK99Mehr Geschäftsideen findest du auf digitaleoptimisten.de/datenbank.Kapitel:(00:00) Intro & Crossover-Setup(03:56) AGI, ASI – und warum simple Agenten reichen(07:48) Use-Cases, Daten & die Tanzflächen-Metapher(16:00) AI-Demokratisierung vs. Blockaden – China schlägt Deutschland(28:29) Scarcity is the Mother of Invention(33:25) 10×-Ziele & KPI-Ambition im Mittelstand(40:47) Thuy-Ngans beste GeschäftsideeMehr Kontext:In dieser Crossover-Folge diskutieren Alex Mrozek und Thuy Ngan die aktuellen Entwicklungen und Herausforderungen im Bereich der Künstlichen Intelligenz (KI). Sie beleuchten die Unterschiede zwischen AGI und ASI, die Bedeutung von Datenprojekten und die Adoption von KI in Unternehmen. Zudem wird die Rolle von Bildung und die Verantwortung von Führungskräften in der KI-Transformation thematisiert. Abschließend wird die emotionale Dimension der Veränderung durch KI hervorgehoben und die Notwendigkeit, KPIs für die AI-Adoption zu überdenken.Keywords:Künstliche Intelligenz, AGI, ASI, Datenprojekte, KI-Adoption, Bildung, KPI, Transformation, Führungskräfte, Emotionen

In times of crisis, markets may react but technology adapts. In this episode of Byte-Sized Insight, we examine how crypto behaves under pressure. First, Cointelegraph head of markets Ray Salmond and market analyst Marcel Pechman break down how digital assets react in times of war, political instability and macroeconomic uncertainty. Then, we shift focus from speculation to real-world utility. Featuring Megan Klimen of the Filecoin Foundation and Vivek Raman, CEO of Etherealize, to explore how decentralized technologies are being used to preserve truth, protect local journalism, and provide access to stable value in times of crisis.(02:26) How crypto markets respond to global instability(05:14) Bitcoin's evolving role as a financial safe haven(07:37) What to watch for in crypto markets in the days ahead(10:27) Real-world use cases for crypto in times of crisis(12:03) Preserving journalism in conflict zones with blockchain: Fasila's mission(13:16) Decentralized vs. centralized tech in unstable environments(15:13) Why decentralized infrastructure matters, especially in crisisThis episode was hosted and produced by Savannah Fortis, @savannah_fortis.Follow Cointelegraph on X @Cointelegraph.Check out Cointelegraph at cointelegraph.com.If you like what you heard, rate us and leave a review!The views, thoughts and opinions expressed in this podcast are its participants' alone and do not necessarily reflect or represent the views and opinions of Cointelegraph. This podcast (and any related content) is for entertainment purposes only and does not constitute financial advice, nor should it be taken as such. Everyone must do their own research and make their own decisions. The podcast's participants may or may not own any of the assets mentioned.

Are we finally saying goodbye to foam earplugs? In this episode of the Conscious Design Podcast, Lauryn Menard, Co-founder and CEO of GOB, joins host Ian Peterman to reveal how her team created the world's first home-compostable, biology-engineered earplug—made from mycelium, the root structure of mushrooms.

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer dig into the transformative role of artificial intelligence in the mining industry. From underground safety to surface-level sustainability, AI is helping modernize one of the world's oldest and most essential sectors.Learn how AI is being used to:Operate autonomous trucks, drills, and loaders in hazardous environmentsMonitor equipment health and perform predictive maintenance to reduce downtimeOptimize resource extraction and mineral processing in real timeImprove mine planning and resource estimation through advanced data analysisEnhance exploration efforts using geological data and machine learningDetect safety hazards such as gas leaks, rockfalls, and structural risksReduce energy usage and environmental impact with AI-driven sustainability toolsMonitor regulatory compliance and manage tailings dams to prevent disastersWhile mining may be out of sight for most of us, AI is bringing new visibility, precision, and responsibility to the way we extract the world's resources.

This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB's role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don't miss it!Highlights from this week's conversation include:Discussion on Duck Lake Announcement (1:41)Compatibility with Apache Iceberg (4:05)Use Cases for DuckDB (6:23)Concerns About Data Management (10:01)Introduction to Data Formats (11:40)Catalog Space Challenges (13:13)Metadata Orchestration (14:54)Simplicity in Data Management (15:25)SQL Demo Discussion (17:26)Wrap-Up and Final Thoughts (18:44)The Data Stack Show is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it's needed to power smarter decisions and better customer experiences. Each week, we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

In Folge 3 der HVH KI Hacks geht es ans Eingemachte: Christian Köhler und André Keeve zeigen, wie Du ganz ohne Programmierkenntnisse eigene GPTs baust – und welche Tools Dir im Vertriebsalltag Zeit, Energie und Nerven sparen. Ob für Besuchsvorbereitung, Reporting oder CRM-Dokumentation – spezialisierte GPTs und smarte Tools sind die neuen Lieblingshelfer für moderne Vertriebsprofis. Wer heute noch E-Mails manuell schreibt oder Gesprächsnotizen mühsam überträgt, verschenkt Potenzial. Diese Folge liefert praktische Anleitungen, echte Use Cases und den Mut, einfach loszulegen.

Today we're sharing an episode of the 10x Recruiting podcast which features guest Samy Aumar, the People Systems Excellence Manager at Qonto, shares his actual AI workflows live with Nolan Church and Siadhal Magos (CEO of Metaview). The goal of this series is to demonstrate practical and attainable AI implementation, especially for those executives at companies with AI mandates (like Shopify and Fiverr). This episode highlights Samy's use of AI agents which can be built without coding skills in just an afternoon, transforming recruiting workflows from 2-3 day processes to same-day execution.Want more AI demos? Subscribe to The 10x Recruiting podcast from Metaview on YouTube, Apple, or Spotify for more interviews like this one.—LINKS:Samy's LinkedIn: https://www.linkedin.com/in/samyaumar/Qonto: https://qonto.com/en—TIMESTAMPS:(00:00) Introduction & Series Launch(00:34) The AI Sophistication Gap(01:34) Key Takeaways Preview(02:03) No Engineers Needed(03:00) B-Minus Outputs Beat Blank Pages(04:19) Episode Introduction(05:17) From Experimentation to Central Workflow(06:00) Use Case 1: AI-Quality Interview Transcripts(07:00) Introduction to Dust AI Agents(07:43) Job Ad Agent Demonstration(09:00) Building Agents Without Coding(11:33) Uploading Intake Notes(13:15) Time Savings: 3 Days to 24 Hours(14:00) Backend Configuration(17:17) Use Case 2: Market Intelligence Agent(19:08) Specialized vs General AI Research(21:22) Research Results & Accuracy(23:42) Managing AI Expectations(26:00) Parallel Processing & Multitasking(28:22) Qonto's AI Mandate(29:27) Champion-Based Implementation(30:33) Hiring for AI Curiosity(31:38) Product Roadmap Inspiration(33:01) Future Vision: Meta Platforms(33:23) Wrap This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hrheretics.substack.com

In this episode, Craig Jeffery talks with Dave Robertson about how AI is being applied in treasury today. They cover key use cases, from forecasting and credit analysis to policy automation, and explore challenges like hallucinations and data privacy. What should treasurers be doing now to prepare for what's coming? Listen in to learn more. CashPath Advisors

Summary   In this episode, Wayne Marcel interviews Hayk, a crypto advocate with a rich history in community building and project management within the Web3 space. They discuss Hayk's journey from parkour and photography to exploring NFTs and building communities in Armenia. Hayk shares insights on the potential of NFTs in marketing and art, the challenges of transitioning to project management in Web3, and his experiences with trading and meme coins. The conversation highlights the evolving landscape of digital assets and the importance of community engagement in the crypto space. In this conversation, Wayne Marcel and Hayk discuss the innovative concept of physical NFT stores, the future of Web3 and NFT education, and the potential use cases for Web3 in the music industry and payments. They explore how physical NFT stores simplify the purchasing process for consumers, the importance of educating new users about the value of Web3, and how NFTs can empower musicians by providing them with fairer compensation and direct connections to their fans.   Follow Hayk: https://linktr.ee/web3hayk  Follow The Introduction Call Podcast: https://x.com/theintrocall    Takeaways   Hayk's journey began with parkour and photography. He built workout parks in Armenia to promote a healthy lifestyle. NFTs are seen as products in the digital world. Art has significant potential in the NFT space. Gamers understand the value of digital ownership. Hayk launched a community to educate people about Web3. He transitioned to project management in the NFT space. The importance of community in the crypto ecosystem is emphasized. Trading experiences can be a roller coaster. Meme coins present both opportunities and risks. Some altcoin positions are going to pay off really well. The initial idea was to make NFTs more simple. We're not selling physical pieces, we're selling an NFT. The NFT awards have been conducted for three times already. We're constantly speaking about onboarding the next billion users. We need to move towards a state of web3 where the user doesn't care about the tech. It all comes down to the use cases. Most musicians today are not earning a fair wage. You can create those experiences with NFTs. The main issue with music NFTs is probably where they're streamed at.   Chapters   00:00 Introduction to Hayk and His Background 11:00 Exploring NFTs and Community Building 18:05 Transitioning to Project Management in Web3 21:04 The Future of NFTs and Trading Experiences 21:58 Exploring Physical NFT Stores 30:08 The Future of Web3 and NFT Education 36:50 Use Cases for Web3 in Music and Payments

Peter Rizun is the chief scientist at Bitcoin Unlimited: a software client that aims to scale Bitcoin with big blocks, while also empowering regular users to run nodes. In this episode, we talk about what went wrong during the block size wars & his research in scaling hardware. Time stamps: 00:01:15 — Introducing Peter Rizun 00:03:32 — Early Block Size Debates and Satoshi's Vision 00:07:45 — Block Size Limit History and Miner Soft Limits 00:10:10 — Dan Kaminsky's 2011 Scaling Predictions 00:12:01 — Scaling Philosophy: Zero, One, Infinity and Earth-Scale 00:15:09 — Block Size Wars, Chain Splits, and Altcoin Proliferation 00:16:43 — Stablecoins, Lightning, and Bitcoin's Use Case 00:19:03 — Zcash, Ethereum, and Bitcoin's Missed Opportunities 00:22:11 — Bitcoin's Script Limitations and Smart Contract Innovation 00:25:10 — Scaling Limits: Hardware, Storage, and Bandwidth 00:35:31 — Node Software, Formal Specs, and Core's Dominance 00:44:00 — Censorship, Reddit, and the Block Size Debate 00:48:04 — SPV Nodes, Custodial Wallets, and Decentralization 00:51:30 — Block Size, Internet Speed, and Global Node Access 00:57:26 — UTXO Model, Dust, and State Management 01:01:37 — Ethereum, Zcash, and Node Benchmarking 01:03:26 — Hardware Acceleration and Specialized Chips 01:07:00 — Sponsorship Break and Bitcoin Adoption via Debit Cards 01:14:59 — History of Block Size Proposals and Client Forks 01:21:07 — Consensus, Forks, and the Role of Exchanges 01:25:40 — SegWit, SegWit2x, and Political Compromises 01:33:04 — Bitcoin Cash, Market Dynamics, and Altcoin Competition 01:39:34 — Stablecoin Fees, Global Demand, and El Salvador 01:46:52 — Decline of Bitcoin Payments and Missed Opportunities 02:10:56 — Lightning Network: Promise vs. Reality 02:22:12 — Shitcoin vs. Bitcoin Maximalism and Open Source Innovation 03:05:52 — Spam, Miner Policy, and Transaction Filtering 03:17:05 — Hardware Scaling: M.2 Accelerator and Node Commoditization 03:29:11 — Nexa: Experimenting with Proof-of-Work and Node Bottlenecks 03:37:44 — Craig Wright, Satoshi Identity, and Big Block Movement Damage 04:02:03 — Fork Proliferation, Community Division, and Stablecoins 04:04:31 — Bitcoin's Future, Experimentation, and Open Research

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is reshaping the world of art and design. From generative art and music to personalized experiences and collaborative creativity, AI is empowering both professional artists and everyday creators alike.Tune in to learn how AI is being used to:Generate original visual art and music compositions using generative AI toolsAccelerate design workflows through automation and intelligent suggestionsEnable style transfer and remixing across artistic genres and mediaEnhance image, audio, and video editing with AI-driven efficiencyCurate exhibitions, identify themes, and organize creative collectionsPersonalize interactive art installations and user-specific experiencesSupport co-creation by acting as an intelligent creative partnerAI is no longer just a tool for technologists—it's become a dynamic collaborator for the creative class, expanding what's possible in visual, auditory, and interactive media.

2 TICKETS LEFT FOR PLAY MAKER SOCIETY LIVE: https://www.michelecaruana.com/playmakerslive2025Is your indoor playground or play café business ready for more freedom, flexibility, and revenue?In this episode, I share how a simple keypad entry system can completely transform your business operations. Whether you're hoping to reduce your reliance on staff, offer after-hours access, or turn your space into a community hub, this upgrade might be the highest ROI decision you make this year.

In this episode, Conor Grennan and Jaeden Schaefer dive into a comparative analysis of leading AI models—Grok, Claude, ChatGPT, and Gemini—examining their strengths and limitations, especially in legal and financial applications. They discuss how tools like AI Box enable side-by-side model comparisons and explore emerging trends in image generation, emphasizing the distinct capabilities of various platforms and their implications for real-world use.Chapters00:00 Exploring AI Models: A Comparative Overview01:24 Diving into Grok: Legal and Financial Insights04:37 Understanding the Strengths of Different Models06:31 Use Cases for AI Models: Writing, Coding, and More10:05 Image Generation: The New Frontier in AI12:18 Final Thoughts: Choosing the Right AI ModelAI Applied YouTube Channel: https://www.youtube.com/@AI-Applied-PodcastTry AI Box: ⁠⁠https://AIBox.ai/⁠⁠Conor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle/about

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is transforming the field of architecture. From design and material selection to project management and sustainability, AI is enhancing how buildings are envisioned, planned, and delivered.Listen in as they discuss how AI is being used to:Support generative design, helping architects explore innovative and efficient building conceptsAutomate drafting and detailed design tasks to increase speed and accuracyOptimize material selection based on cost, durability, aesthetics, and sustainabilityImprove structural analysis and safety by modeling complex environmental variablesAssist in site planning with data-driven insights on zoning, topography, and climateEnhance cost estimation and budget forecasting using real-time and historical dataSupport project management with predictive scheduling, resource allocation, and delay preventionImprove energy efficiency and sustainability through simulation and smart design suggestionsEnhance Building Information Modeling (BIM) with AI-driven clash detection and cost controlWhether you're an architect, planner, project manager, or tech innovator, this episode showcases how AI is revolutionizing the design and execution of modern architecture.

Mike & Tommy break down all the major new updates to Microsoft Fabric Shortcuts from Build and how workflows and process are changing because of it...Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Today we are talking about the Custom Field Module, what it does, and why you might want to use it with guest Andy Marquis. We'll also cover Facet Bot Blocker as our module of the week. For show notes visit: https://www.talkingDrupal.com/505 Topics Meet the Guest: Andy Marquee Module of the Week: Facet Bot Blocker Exploring the Custom Field Module Benefits and Use Cases of Custom Field Module Custom Field Module vs. Other Solutions Advanced Features and Integrations Reflecting on Past Projects and Key Value Use Cases and Flexibility of Custom Fields Advanced Features and Integrations Challenges and Limitations Future Roadmap and Improvements Resources Custom Field Module Guests Andy Marquis - drupal.org/project/custom_field apmsooner Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Norah Medlin - tekNorah MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you been looking for an inexpensive way to mitigate an upsurge of bot traffic on your Drupal site's faceted search pages? There's a module for that Module name/project name: Facet Bot Blocker Brief history How old: created in Mar 2025, so about two months ago, by John Brandenburg (bburg) of Forum One Versions available: 1.0.2 which support Drupal 10 and 11 Maintainership Actively maintained Security coverage Number of open issues: 4 open issues, one of which is a bug, but it did have a fix merged 4 days ago Usage stats: 106 sites Module features and usage A number of sites are seeing a huge upswing in bot traffic, and quite often a big part of that bot traffic is on one or more pages with faceted search Crawlers try to request every permutation of every possible combination of facets. If your page has multiple facets, and in particular facets that accept multiple values, the number of permutations becomes huge Facet Bot Blocker works by allowing you to set a maximum number of facet requests to allow, what error to return, and a custom HTML message to return to blocked user agents If you have Memcache or Redis available, it's recommended to use the appropriate module, and Facet Bot Blocker will automatically store its settings there for reduced database reads The project page is also clear that if you are able to use a true Web Application Firewall (like Cloudflare or Akamai), that would be a better strategy. But if you don't have one available, Facet Bot Blocker can help to mitigate the surges in bot traffic that are causing problems for many Drupal sites, particularly those hosted on platforms that charge based on usage

June 2, 2025: Chris Jenkins, EVP of Digital Strategy and Enterprise Imaging for Healthlink Advisors, joins Bill for the news. As the industry appears to shift focus from cybersecurity to AI adoption, they explore whether this transition is happening too quickly. Then, what does it mean when four major health systems make strategic investments in companies like Rad AI? The conversation also covers Emory Healthcare's decision to deploy the first fully Apple-powered hospital, raising questions about whether this represents a meaningful shift away from traditional Microsoft-dominated environments or simply an expensive experiment. Key Points: 05:00 AI Imaging Expansion 09:05 Google I/O and Use Cases 15:55 Emory Apple Only Hospital X: This Week Health LinkedIn: This Week Health Donate: Alex's Lemonade Stand: Foundation for Childhood Cancer

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In this episode of Unicorn Bakery, Nicolas Benady, co-founder and CEO of Swan, shares the journey of building one of Europe's leading Banking-as-a-Service (BaaS) platforms. Nicolas takes us behind the scenes of how Swan started in 2019, spent two years building its infrastructure, and has now grown to process over €20 billion in payments annually. Nicolas discusses the challenges of creating a BaaS platform from scratch, the importance of conviction and timing, and how Swan is helping companies embed banking services, such as accounts, cards, and payments, into their own products. He also shares insights into fundraising, team building, and expanding into new markets, such as Germany, Spain, and the Netherlands. What you'll learn in this episode: The Journey of Building Swan: How Nicolas leveraged 13 years of fintech experience to identify the need for a better BaaS platform Why conviction and a clear vision were critical during the two years it took to build Swan's infrastructure and obtain its e-money license Fundraising and Growth: How Swan raised over €100 million, including a €42 million Series B extension, to scale its operations Lessons from fundraising, including why the first round was the hardest and how traction and reputation made later rounds easier Product and Market Fit: Why Swan focuses on small and medium businesses (SMBs) and how it partners with accounting and expense management software to deliver seamless banking services The importance of building a product that's easy for developers to integrate, inspired by the simplicity of platforms like Stripe International Expansion: How Swan approached launching in new markets like Germany, Spain, and the Netherlands The challenges of adapting to different regulatory environments and market dynamics while maintaining a centralized team in Paris Leadership and Team Building: How Nicolas built trust with his co-founders and scaled the team to over 300 employees The importance of hiring for both skills and cultural fit, and why Nicolas brought on a deputy CEO to help scale the company ALLES ZU UNICORN BAKERY: https://zez.am/unicornbakery  Mehr zu Nicolas Benady: LinkedIn: https://www.linkedin.com/in/nicolasbenady  Website: https://www.swan.io/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/  Chapters: (00:00:00) What was the first time seeing traction since 2019? (00:04:26) How is Nicolas validating ideas? (00:08:48) Defining the exact problem before SWAN (00:12:16) Finding Co-Founders first vs. validating the idea first (00:18:19) Red flags in hiring interviews (00:30:12) Nicolas' framework for making decisions (00:34:41) Biggest failures in hiring (00:42:59) Numbers you need to know about SWAN (00:47:46) Use-Cases of SWAN (00:51:36) How to pick the first partner (00:58:43) Did Nicolas' self-confidence change through the years? (01:01:26) The right time to bring on a COO (01:05:36) Doubts and clarity about former hired employees (01:16:06) Country-specific functions vs. central functions when expanding

Exploring a Use Case of Artificial Intelligence Assistance with Understanding an Attack Jennifer Wilson took a weird string found in a recent honeypot sample and worked with ChatGPT to figure out what it is all about. https://isc.sans.edu/diary/%5BGuest%20Diary%5D%20Exploring%20a%20Use%20Case%20of%20Artificial%20Intelligence%20Assistance%20with%20Understanding%20an%20Attack/31980 Ransomware Deployed via SimpleHelp Vulnerabilities Ransomware actors are using vulnerabilities in SimpleHelp to gain access to victim s networks via MSPs. The exploited vulnerabilities were patched in January. https://news.sophos.com/en-us/2025/05/27/dragonforce-actors-target-simplehelp-vulnerabilities-to-attack-msp-customers/ OS Command Injection in Everetz Equipment Broadcast equipment manufactured by Everetz is susceptible to an OS command injection vulnerability. Everetz has not responded to researchers reporting the vulnerability so far and there is no patch available. https://www.onekey.com/resource/security-advisory-remote-code-execution-on-evertz-svdn-cve-2025-4009

Florian Heinemann und Thuy Ngan Trinh von Project A tauchen mit Joel Kaczmarek in die Welt der KI im Business ein. Gemeinsam beleuchten sie, wie Unternehmen Künstliche Intelligenz sinnvoll integrieren können. Florian bringt seine Expertise als Investor ein und erklärt, wie KI in Start-ups bereits fest verankert ist. Thuy Ngan, Managing Director bei Project A, ergänzt mit praxisnahen Beispielen und zeigt, wie KI im Marketing und Sales revolutionäre Veränderungen bewirkt. Ein spannender Austausch über Use-Cases, Herausforderungen und die Zukunft der Arbeit in einer digitalisierten Welt. Du erfährst... ...wie Florian Heinemann und Thuy Ngan Trinh KI im Business erfolgreich integrieren ...welche spannenden Use-Cases für KI in Unternehmen existieren und wie sie umgesetzt werden ...wie KI die Marketingwelt revolutioniert und welche Tools dabei unverzichtbar sind ...wie KI den Sales-Prozess effizienter gestaltet und neue Möglichkeiten eröffnet ...warum KI im Customer Service und in der Software-Entwicklung einen echten Boost bringt __________________________ ||||| PERSONEN |||||

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer dive into the many ways artificial intelligence is reshaping the restaurant and food service industry. From back-of-house operations to customer-facing innovations, AI is transforming how food is prepared, delivered, and experienced.Discover how AI is being used to:Automate food preparation with robotics for consistent quality and reduced labor costsOptimize restaurant menus based on sales data, customer feedback, and seasonal trendsEnable predictive maintenance of kitchen equipment to avoid downtime and cut repair costsImprove food safety and quality control through real-time monitoring and alertsForecast demand and manage inventory to reduce waste and prevent stockoutsStreamline ordering and payment via AI-powered kiosks, mobile apps, and chatbotsPersonalize the dining experience through tailored recommendations and dynamic pricingEnhance customer service with conversational AI for reservations, inquiries, and ordersOptimize food delivery routes for speed, efficiency, and lower fuel costsWhether you're a food industry professional or a tech-savvy diner, this episode showcases how AI is improving efficiency, reducing costs, and elevating customer experiences across the food landscape.

Why is the model of a Nobel prize winner not necessarily good science? What is “good” modelling? Is access to information enough to change a system behavior? This episode is the second part of a long interview with Laetitia Bornes, a Doctor in Human-Computer Interaction, Systems Engineering and Systemic Design who is one of the co-authors of a research paper investigating the claims made by the second hand digital platform Vinted about the avoided carbon emissions thanks to its operations. As presented in the first part, their findings were surprising, enlightening for the IT sector and nuanced! In this second part, Gaël Duez and Laetitia Bornes moved away from the Vinted use case and discussed modelling, the scientific method and Systems Thinking in general. You can enjoy this discussion without having listened to the first episode however we would suggest you do so to enjoy all the references, especially to the Vinted study. Among the topics covered in this second part are: - An impressive transparency exercise about the limit of the model used for the Vinted use case, - Why models are “wrong” and how to still use them purposefully, - Why a Nobel prize modeling in his lab without publishing isn't doing science (yet), - Access to information and its connection to the four main categories of leverage points, - The concept of protopia, And much more! ❤️ Subscribe, follow, like, ... stay connected the way you want to never miss an episode, twice a month, on Tuesday! All the references, the link to get free tickets, the wrap-up article and the full transcript is on Green IO website here: https://greenio.tech/blog

Show Notes: Vanessa Liu, co-founder and CEO of Sugarwork, talks about how this tool helps enterprises capture tacit knowledge by acting as a guide. Sugarwork helps companies capture specific information at scale and enables sharing, and guides companies to ask specific questions to elicit the required insights.  How the Sugarwork Platform Works Vanessa explains how the dashboard works and how it helps companies understand, leverage, and easily access their tacit knowledge for better decision-making and growth.  She introduces the scheduling section.   Vanessa shows how the Knowledge Share section acts as a guide that helps advance the discussion and gathering of key insights.  She shares a few query examples that guide questions that gather insights, including: Roles and responsibilities  Problem solving… Core Technical Questions Sharing Resources and Data from Meetings  Vanessa explains how scheduling meetings works and the integrations with several different meeting apps. Vanessa talks about the AI avatar or an employee interview an interviewee, and how the information gathered and stored in the Knowledge Share section. The platform allows companies to schedule video meetings where an AI note taker transcribes the conversation and provides a summary. The raw data from the meeting is also available, allowing participants to share their insights. Shared Resources are uploaded into a repository, allowing the company to access the information on a permissions-based basis. She explains how AI takes notes and issues a summary and overview.  Asking Questions and Accessing Knowledge Share Vanessa explains that the platform is typically used for short, compressed periods, such as a transformation or launch of something new. This allows HR teams to access knowledge shares and ask questions as if they were talking to the interviewees. The platform also allows for queries based on ChatGPT, or other tools to understand why a client or customer works with a particular vendor. The platform is designed to be accessible to the entire company. Interview Use Cases and Documenting Processes  The conversation turns to the use of interviewers in companies, with two common models: one involves a trained interviewer interviewing everyone in the company, and another involves multiple interviewers for onboarding junior employees. Vanessa suggests two use cases for this approach: documenting processes and understanding succession planning work. A project manager can document the process and create a process map to optimize it. Another use case involves understanding people's knowledge shares for succession planning or transformations.   Saving Time and Improving Efficiency Vanessa also mentions the activity value added analysis (AVA) project, where companies can identify activities that are taking up significant time and eliminate them. This tool can be used for cost-cutting projects, such as the AVA project, where companies can identify bottlenecks and improve efficiency. The second use case is business optimization, where companies can map processes to identify areas for optimization and understand where people are spending time. For example, a new product development process can be analyzed to identify pain points and identify solutions for bottlenecks. This can include changing the configuration of people involved or adjusting handoffs. Budget Processes and Interviews Sugarwork is designed to help companies understand their processes and identify key themes in customer segments. The platform is not intended for detailed process mapping, but rather for understanding the different customer segments and their roles in the process. Sugarwork provides a consolidated view of everyone involved in the budgeting process. The platform also helps identify key themes across various customer segments. Its focus on detail, data analysis, and automation makes it an attractive option for companies looking to streamline their processes and improve their efficiency. Insights and Pricing The platform has been used by mid-sized companies going through digital transformation, large companies hiring consulting firms, and small consultancies seeking to understand best practices, talent, and processes.  Vanessa explains that customized templates are created for companies based on desired outputs and participants' roles and functions.   She goes on to talk about the pricing structure of Sugarwork and use cases. These customers are looking for insights into best practices, talent, and automation. Sugarwork has also been used by small consulting firms to run analysis with their clients, as they can scale their work and use the tool faster. Vanessa shares an example of a consulting firm using Sugarwork when working with a government agency.  They had to conduct numerous interviews and needed to scale their team. By using Sugarwork, they were able to easily store, access, and analyze the data and make informed decisions about their strategies and resources.  Timestamps: 01:59: Overview of Sugarwork Dashboard  02:38: Detailed Walkthrough of Sugar Work Features  06:16: Interview Process and AI Integration 10:40: Use Cases and Recommendations  14:27: Data Analysis and Customer Targeting  20:12: Pricing and Availability   Links: Website: https://www.sugarwork.com/ LinkedIn: https://www.linkedin.com/in/vanessawliu/

Dan Nathan and Guy Adami discuss major market trends and delve into rising yields, a significant down day for the S&P 500, and recent retail earnings. The conversation highlights key concerns around the tax bill and its potential impacts. The episode features an interview with Trevor Marshall, CTO and Co-founder of Current, who shares insights on the FinTech sector, M&A prospects, and the increasing application of generative AI in various industries. Key takeaways include discussions on higher yields' impact on the housing market, job cuts at major tech firms, and the retail sector's struggles, particularly with companies like Target and TJ Maxx. The episode wraps up with a look at Google's strategy in advancing generative AI, the geopolitical implications of Nvidia's growth, and the transformative role of AI in both consumer and business landscapes. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

Your competitors are already using AI. Don't get left behind. Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S----In this conversation, Ryan Staley interviews Brandon Taylor, VP of Enterprise and Partnerships at CompanyCam, discussing his extensive experience in scaling SaaS businesses and the transformative role of AI in go-to-market strategies. Brandon shares insights on the common challenges faced in B2B sales, the importance of hiring the right people, and how AI can enhance efficiency and effectiveness in sales processes. He highlights specific use cases of AI in his leadership role and the future potential of AI in shaping go-to-market strategies.Chapters00:00 Introduction to Brandon Taylor and His Background04:01 AI Go-to-Market Strategy and Its Importance07:07 Leveraging AI for Efficiency in Sales10:17 Custom Applications and Use Cases of AI in Sales12:59 Future of Go-to-Market Strategies with AI

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is revolutionizing the Consumer Packaged Goods (CPG) industry. From enhancing product development to optimizing inventory and boosting customer engagement, AI is driving innovation and operational efficiency across the value chain.Learn how AI is used to:Accelerate product innovation through trend and ingredient analysisImprove demand forecasting and inventory management with real-time insightsEnable dynamic pricing strategies responsive to market conditionsOptimize supply chains, reduce waste, and meet sustainability goalsEnhance quality control with computer vision and predictive analyticsDrive hyper-personalized marketing and sentiment analysisPower 24/7 customer service through AI chatbots and virtual assistantsImprove in-store retail strategies using retail analytics and shopper behavior insightsWhether you're in the industry or a consumer of its products, this episode sheds light on the impactful ways AI is shaping the future of CPG. Tune in to discover real-world use cases, emerging trends, and practical lessons that apply well beyond the grocery aisle.

Industrial Talk is onsite at DistribuTech 2025 and talking to Robert Brooks with Neara and Brian Reed with Osmose about "Technology and Pole Inspection". Scott MacKenzie hosts an industrial podcast from Distribute Tech in Dallas, highlighting the importance of data management in the utility sector. Guests Robert Brook and Brian Reed from Neara and Osmose, respectively, discuss their partnership to enhance utility data integration and decision-making. NIRA's platform creates a digital network model using various data sets, including LiDAR and GIS, to simulate asset performance under different conditions. Osmose provides detailed asset records and preservative treatments to ensure data accuracy. The collaboration aims to improve strategic resiliency plans by prioritizing asset upgrades and optimizing investment strategies. Action Items [ ] @Scott MacKenzie - Discuss the process of keeping the digital network model up-to-date as utility assets change over time. [ ] @Scott MacKenzie - Follow up with Brian Reed on LinkedIn to learn more about Osmose's pole inspection and maintenance services. [ ] Explore the Neara platform and its capabilities further. Outline Introduction and Welcome to Industrial Talk Podcast Scott MacKenzie introduces the Industrial Talk Podcast, emphasizing its focus on industry professionals and their innovations. Scott thanks the listeners for joining and highlights the importance of industry professionals in solving global problems. The podcast is sponsored by Siemens Smart Infrastructure and Grid Software, encouraging listeners to visit siemens.com for more information. Scott mentions the current broadcast location at Distribute Tech in Dallas, describing it as a massive event for utilities and other related industries. Introduction of Guests and Event Overview Scott introduces the guests, Robert Brook and Brian Reed, and mentions their roles in the industry. Robert and Brian discuss the importance of data management in the utility sector and the significance of the Distribute Tech event. Scott shares a personal anecdote about using Osmose services during his utility days, highlighting the reliability of their inspections. Robert and Brian provide background information about their companies, Neara and Osmose, and their respective roles within them. Neara and Osmose Partnership and Data Integration Brian explains the partnership between Neara and Osmose, focusing on the challenges utilities face in managing data across different departments. The partnership aims to consolidate data into a single source, enhancing risk-based decision-making for utilities. Robert describes Neara's platform, which builds a digital network model using various data sets, including LiDAR and GIS information. The platform provides a highly accurate and engineering-based relationship between assets, enabling better decision-making for utilities. Use Cases and Practical Applications Brian provides a use case for the partnership, focusing on strategic resiliency plans for Texas utilities. The platform helps utilities prioritize assets for upgrades, considering factors like wind loads and storm conditions. Scott inquires about the practical aspects of using the platform, including how utilities can access and interpret the data. Brian explains the self-service capabilities of the platform, allowing utilities to perform simulations and prioritize circuits and structures. Data Management and Platform Capabilities Robert discusses the scalability