Podcasts about ai integration

In this episode, get introduced to ServiceNow's latest offering, Horizon, the source of truth for experience design at ServiceNow, empowering creators to design better enterprise experiences. Joining the conversation are Brian Zaik and AJ Siegel from ServiceNow, who share their insights and experiences with this innovative design system. They discuss Horizon's role as a central resource for designing experiences on the ServiceNow AI platform, making it easier for both seasoned designers and those new to the field. Brian elaborates on the significance of Horizon as a single destination for all things related to UX design within the ServiceNow ecosystem. He explains how Horizon simplifies the process of creating workflows and applications by offering detailed documentation and interactive examples. AJ adds to the discussion by emphasizing the platform's capacity to enhance user experience and productivity, reflecting on his decade-long journey at ServiceNow and the evolution in UX priorities. The episode also covers how Horizon integrates AI capabilities into design strategies, providing a resource that remains updated with the latest trends and best practices. Brian and AJ discuss the expected future developments and additional resources that will be added to Horizon, ensuring it stays at the cutting edge of design and technology. Whether you're a developer, designer, or ServiceNow partner, this episode offers valuable insights into leveraging Horizon to create impactful and user-friendly solutions. Find out more about Horizon - https://horizon.servicenow.com/Watch on YouTube Guests:Brian Zaik - Principal Inbound Product Manager, Design SystemAJ Siegel - Director, Design Enablement StrategyHost: Bobby Brill 00:00 Introduction and Guest Introductions01:37 What is Horizon?04:07 The Importance of UX in ServiceNow06:02 Design Systems and Their Impact12:37 AI Integration in Horizon22:29 Future Developments and Roadmap26:58 Wrap up See omnystudio.com/listener for privacy information.

In this episode, get introduced to ServiceNow's latest offering, Horizon, the source of truth for experience design at ServiceNow, empowering creators to design better enterprise experiences. Joining the conversation are Brian Zaik and AJ Siegel from ServiceNow, who share their insights and experiences with this innovative design system. They discuss Horizon's role as a central resource for designing experiences on the ServiceNow AI platform, making it easier for both seasoned designers and those new to the field. Brian elaborates on the significance of Horizon as a single destination for all things related to UX design within the ServiceNow ecosystem. He explains how Horizon simplifies the process of creating workflows and applications by offering detailed documentation and interactive examples. AJ adds to the discussion by emphasizing the platform's capacity to enhance user experience and productivity, reflecting on his decade-long journey at ServiceNow and the evolution in UX priorities. The episode also covers how Horizon integrates AI capabilities into design strategies, providing a resource that remains updated with the latest trends and best practices. Brian and AJ discuss the expected future developments and additional resources that will be added to Horizon, ensuring it stays at the cutting edge of design and technology. Whether you're a developer, designer, or ServiceNow partner, this episode offers valuable insights into leveraging Horizon to create impactful and user-friendly solutions. Find out more about Horizon - https://horizon.servicenow.com/Watch on YouTube Guests:Brian Zaik - Principal Inbound Product Manager, Design SystemAJ Siegel - Director, Design Enablement StrategyHost: Bobby Brill 00:00 Introduction and Guest Introductions01:37 What is Horizon?04:07 The Importance of UX in ServiceNow06:02 Design Systems and Their Impact12:37 AI Integration in Horizon22:29 Future Developments and Roadmap26:58 Wrap up See omnystudio.com/listener for privacy information.

In this conversation, Billy Morse shares his journey into real estate, discussing the mindset shifts he had to make, the growth of his business, and the integration of technology and AI in the industry. He emphasizes the importance of understanding one's 'why' in business and how leveraging AI can enhance efficiency and focus on core competencies. The discussion also touches on the opportunities in North Carolina and the evolving landscape of real estate investment. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

This episode features Mark Lenzner, Executive Director, ICT / Digital Sourcing, Digital.NSW, NSW Department of Customer Service, who explores how the Test and Buy Innovation model is transforming public sector procurement. Learn how agencies can adopt more agile, outcome-focused approaches to tackle community challenges—by prioritising the problem rather than prescribing the solution. From fostering procurement flexibility to unlocking access to a wider pool of tailored, innovative offerings, the discussion dives into strategies that drive better results in public service delivery. A must-listen for public sector leaders and innovators rethinking how government buys and builds. Mark Lenzner, Executive Director, ICT / Digital Sourcing, Digital.NSW, NSW Department of Customer Service.   For more great insights head to www.PublicSectorNetwork.co  

AI makes us all more productive.... so why isn't revenue soaring? That's the AI Productivity Paradox.  ↳ Does that mean GenAI doesn't work?  ↳ Or do we all collectively stink at measuring GenAI ROI?  ↳ Or are employees just pocketing that time savings? Faisal Masud is a tech veteran with answers. He's the President of HP Digital Services, and he's going to help us solve the AI Productivity Paradox. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.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:AI Productivity Paradox ExplainedHybrid Work's AI Integration ChallengesGenerative AI Impact on Large EnterprisesRaising Productivity Expectations in AI EraAI Tools vs. Traditional Employment RolesEffective AI Policy Implementation in EnterprisesBuilding Internal AI Capabilities StrategyInsights from AI-Based Easy Button HistoryTimestamps:00:00 "Your Daily AI Insight Hub"03:43 Workforce Experience Platform Overview07:46 High Hiring Bar Enhances Productivity10:31 Enterprise Productivity Lag with GenAI15:53 AI Integration in Workflows19:01 Raising Expectations in Tech Management21:57 Hiring for Future-Ready Roles25:23 Staples' Innovative "Easy Button" Strategy27:22 Less is More for SuccessKeywords:AI productivity paradox, generative AI, productivity improvements, employee experience, HP Digital Services, hybrid work, employee productivity, generative AI wave, AI tools, workforce experience platform, AI PCs, employee sentiment data, hybrid work challenges, generative AI boom, overemployment, AI policy, large enterprises, business leaders, remote work, Microsoft Copilot, improved productivity, customer experience, agentic workflows, AI-enabled tasks, augmented roles, future of work, AI solutions, digital transformation, management challenges, augmented society, productivity metrics, less is more approach, efficient work processes.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

This edWeb podcast is sponsored by Robo Wunderkind.The edLeader Panel recording can be accessed here.Artificial intelligence is already shaping how children learn, play, and interact. To ensure students can engage with technology safely and responsibly, AI literacy must become a foundational part of K-5 education. Listen to this edWeb podcast to learn why AI literacy is critical for K-5 students and get practical steps to bring it into your classrooms.Listeners learn:How AI tools like chatbots and recommendation engines are already influencing studentsThe risks of uncritical AI use and how AI literacy builds digital responsibility and critical thinkingAge-appropriate, cross-curricular strategies to teach AI in K-5 through unplugged and hands-on activitiesWhat district leaders can do to scale AI integration effectivelyThe session includes real-life classroom examples, implementation frameworks, and free resources to get started right away. Bonus: Learn how to join Robo Wunderkind's fall 2025 pilot program for early access to the world's first K-5 AI literacy curriculum. This edWeb podcast is of interest to K-5 teachers, school leaders, and district leaders.Robo WunderkindHelp your students achieve their potential by introducing them to STEAM early on!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Learn more about viewing live edWeb presentations and on-demand recordings, earning CE certificates, and using accessibility features.

```html welcome to wall-e's tech briefing for friday, august 1st! explore today's impactful tech stories: apple's milestone: surpassing 3 billion iphone sales, driven by iphone's contribution of nearly half of apple's $94 billion quarterly revenue. despite this achievement, apple trails nvidia and microsoft in market valuation. apple's ai focus: company plans to bolster ai investments, aiming for integration across all platforms, while maintaining a cautious development strategy. reddit revenue rise: impressive revenue growth to $465 million mainly from advertising, backed by ai-powered tools, and a 24% increase in data licensing to $35 million. amazon's alexa+ monetization: exploring ad integration in alexa+ interactions, expanding ai investments to foster advertising and shopping enhancements, with capital expenditures doubling to $31.4 billion. google's legal challenge: 9th u.s. circuit court of appeals upholds a ruling requiring the company to modify its app store due to an antitrust lawsuit, potentially altering android app distribution dynamics. we'll see you back here tomorrow for more tech updates! ```

Unlock the true power of AI in real estate. Learn how to automate your CRM, craft ultra-personalized outreach, and dominate local lead generation using the latest tools — all tailored for real estate pros. If you're a Realtor ready to elevate your marketing with smart automation, this episode is your blueprint.

Send us a textThis week on The Hot Slice Podcast with Pizza Today we have George Gilliam, owner of Uncle G's Pizza in Birmingham, Alabama. George reached out to us to do a story on how he has doubled and tripled slow days at the restaurant. The conversion was so captivating that we wanted to share it on the podcast. Gilliam set a strategy into motion to turn his slowest days into high-volume sales days. He focused on increasing sales with daily specials one slow day at a time until he covered the entire week. “This kind of aggressive weekday programming has brought in the traffic and revenue we needed on nights that used to be dead,” he says. “I've built out a weekly schedule that gives people a clear reason to visit every single day.”He approached each day with a new special and/or event and shares which days he started with. Uncle G's promotes the days through its social accounts, e-mail and in store. It's designed as weekly programming that Gilliam says people can build into their routines.The conversation on social media led into a genuine talk on AI and advanced technology and their role in small independent pizzerias.Read our article with George “Doubling to Tripling a Restaurant's Slow Day Sales” at https://pizzatoday.com/topics/brand-marketing/doubling-to-tripling-a-restaurants-slow-day-sales/Learn more about Uncle G's Pizza at https://unclegspizza.com/ and on Instagram at https://www.instagram.com/unclegspizza/  Show Notes:Find out who is this year's Pizzeria of the Year at https://PizzaToday.com.Be on the lookout in your inbox for our annual Pizzeria Operator Trends & Outlook Survey!

In this episode Jaeden dives into Tesla's groundbreaking $16.5 billion deal with Samsung to produce next-gen AI chips. Explore the strategic implications for the tech industry, the benefits of supplier competition, and how Tesla's manufacturing expertise could redefine chip production. Plus, discover how these advancements might impact Tesla's AI and robotics ambitions.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/2vaOgzEc8RAChapters00:00 Tesla's Deal With Samsung07:31 The Evolution of Tesla's Custom Chips & AI Integration

Kent C. Dodds is back with bold ideas and a game-changing vision for the future of AI and web development. In this episode, we dive into the Model Context Protocol (MCP), the power behind Epic AI Pro, and how developers can start building Jarvis-like assistants today. From replacing websites with MCP servers to reimagining voice interfaces and AI security, Kent lays out the roadmap for what's next, and why it matters right now. Don't miss this fast-paced conversation about the tools and tech reshaping everything. Links Website: https://kentcdodds.com X: https://x.com/kentcdodds Github: https://github.com/kentcdodds YouTube: https://www.youtube.com/c/kentcdodds-vids Twitch: https://www.twitch.tv/kentcdodds LinkedIn: https://www.linkedin.com/in/kentcdodds Resources Please make Jarvis (so I don't have to): https://www.epicai.pro/please-make-jarvis AI Engineering Posts by Kent C. Dodds: https://www.epicai.pro/posts We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Let us know by sending an email to our producer, Em, at emily.kochanek@logrocket.com (mailto:emily.kochanek@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Special Guest: Kent C. Dodds.

The future of payments won't be card-swiped or cash-counted — it'll be fast, digital, and deeply integrated.In this episode of Couchonomics with Arjun, Floris de Kort, CEO of Thunes, joins to unpack what it really takes to build a global payments network across 130+ markets, from wallets to banks to mobile rails.What's inside:- Why real-time payments still face real-world friction- How Thunes is turning compliance into a competitive edge- The rise of B2B payouts — and why corporates are driving the volume- Why MENA is now a proving ground for wallet innovation- The growing role of stablecoins in global financeIf you're building in fintech, infrastructure, or cross-border payments, this one's essential listening.

In this episode, we're revealing the long-term layers of ai integration behind The Hidden Cost of AI Acquisitions. We uncover how these hidden dynamics are altering innovation paths quietly beneath the surface. This discussion peels back the curtain on what AI takeovers mean beyond the headlines.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.   Grammarly is no longer just a writing assistant. It's building an AI productivity platform that could rival Microsoft Copilot. In this episode, Luke Behnke, VP of Enterprise Product at Grammarly, shares how the company is moving beyond grammar correction into intelligent agents, enterprise workflows, and real-time AI tools.   We dive into Grammarly's new Authorship feature, why AI fluency is becoming essential at work, how Grammarly is integrating tools like Coda and Superhuman, and what the future of multi-agent systems looks like.   If you're curious about where AI at work is really heading, this conversation will give you a clear and powerful glimpse. (00:00) Preview and Intro (03:37) Meet Luke Behnke(05:00) Grammarly's Origin Story and Early Vision(09:11) Grammarly's UX Advantage(13:30) Competing With Microsoft Copilot and Built-In Assistants(17:48) What Is “Authorship” and Why It Matters(20:31) AI Detection vs Authorship Tracking(25:05) The Future of AI Transparency(27:43) Why AI Fluency Will Be a Job Requirement(32:04) Grammarly's Agentic Vision(34:11) The Rise of Context-Aware Enterprise Agents(38:24) Use Cases: Automating Tasks Across Tools with AI(40:21) The Coda Acquisition & Building the Agent Platform(44:48) The Future of Interoperable AI Agents(47:43) Why Agent Oversight Is Crucial in Enterprise AI(55:57) Measuring Grammarly's ROI in the Enterprise

Rachel Stockman, President of Law & Crime , the top trial channel on YouTube, joins today's pod! She shares insights from their extensive coverage of the Diddy trial, highlighting their innovative use of AI to recreate courtroom scenes from real transcripts due to cameras being disallowed. She also explains their "YouTube-first" strategy, especially how focusing on in-depth, long-form content for their engaged audience differentiates them from other media outlets. Finally, she touches on the upcoming Tupac trial coverage and how they decide which cases to follow based on audience interest and their commitment to victims' families, citing the unexpected virality of the Gwyneth Paltrow civil case.But first: YouTube's impressive Q1 ad revenue, nearing $10 billion, and the strategic move to exclusively stream an NFL game in Brazil, aiming for record viewership. Also: the significant sales decline of Prime, the beverage brand by Logan Paul and KSI, and the related case study on the challenges of building sustainable creator brands beyond initial virality.00:00 Welcome to Creator Upload 00:24 AI's Impact on Future Parenting 01:19 The Hunt for Undiscovered Music & Content 02:48 The Double-Edged Sword of Content Access 03:14 AI Integration in Platforms (Roblox & YouTube Shorts) 05:13 YouTube's Q1 Ad Revenue Soars 07:12 The Decline of Prime & Sustainable Creator Brands 11:01 Marketing Beyond Virality 13:41 "Nothing Kills Bad Brands Faster Than Great Marketing" 14:50 Creator Passion and Brand Building 15:39 Law& Crime Diddy Trial Coverage & AI 19:06 The "YouTube-First" Strategy 20:59 Law & Crime In-Depth Content Approach 22:24 Upcoming Trials and Content Strategy 24:14 The Gwyneth Paltrow Case: Unexpected Virality 25:58 Wrap Up & FarewellCreator Upload is your creator economy podcast, hosted by Lauren Schnipper and Joshua Cohen.Follow Lauren: https://www.linkedin.com/in/schnipper/Follow Josh: https://www.linkedin.com/in/joshuajcohen/Original music by London Bridge: https://www.instagram.com/londonbridgemusic/Edited and produced by Adam Conner: https://www.linkedin.com/in/adamonbrand

Can Microsoft Edge really change your mind about web browsing? After years of skepticism and critique, I've taken a fresh look at Edge, and you might be as surprised as I was to discover the improvements it has undergone. Join Paul, on an unexpected journey as we explore how Edge's new WebUI 2.0 interface and performance enhancements are transforming it into a speedier, more user-friendly option. Microsoft has been working behind the scenes to trim the unnecessary and boost the essential, making Edge not just another browser, but a viable, competitive choice for everyday use. Host: Paul Thurrott Download or subscribe to Hands-On Windows at https://twit.tv/shows/hands-on-windows Want access to the ad-free video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Today on LaunchPod AI, we're talking with Sierra Hahn-Ventrell, Director of Product Management at Apartment List. In this episode, we discuss how they: Analyze customer interviews with ChatGPT, even uncovering a missed insight that led to a full product strategy reset Built an AI Slack bot to flag issues in a new customer-facing tool before they become big problems And transformed sales enablement and automated documentation using NotebookLM and Claude Links LinkedIn: https://www.linkedin.com/in/shahnventrell/ Apartment List: https://www.apartmentlist.com/ Tools ChatGPT: https://chatgpt.com/ Gemini: https://gemini.google.com/ Claude: https://claude.ai/ NotebookLM: https://notebooklm.google.com/ Storylane: https://www.storylane.io/ Chapters 00:00 Introduction 02:47 AI Slack Bot for Property Management 03:59 Hackathon Project and Implementation 07:20 Challenges and Solutions in AI Integration 10:19 NotebookLM for Sales Enablement 13:10 AI in Product Strategy and Market Fit 16:52 Pushing AI to Its Limits 17:44 Using ChatGPT for Product Strategy 18:36 Guiding AI for Accurate Market Analysis 20:53 Leveraging Gong and AI for Sales Insights 24:40 Automating Documentation with AI 26:41 Balancing Innovation and Control in AI Adoption 31:36 Outro Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Sierra Hahn-Ventrell.

In this episode, Jaeden takes a closer look at Gupshup's remarkable business evolution and its recent funding milestones. He covers how Gupshup has transformed from a messaging platform into a leading conversational engagement company, driving innovation in customer communication. Jaeden also explores the strategic decisions and funding rounds that have fueled its growth, positioning Gupshup as a key player in the tech industry.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/RyWD5nfnK4UChapters00:00 Introduction to Gupshup's Journey02:45 AI Integration in Messaging05:54 Challenges & Opportunities in Valuation08:55 Future Prospects & Conclusion

Ever wondered why Smart Utilities Let Their Assets Break? Then listen to this: It will show you how Physics beats AI in Asset Management! More #water insights? Subscribe to my newsletter, for free! https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=6884833968848474112

Lt. Gen. (ret) Jack Shanahan joins Kevin Frazier to explore the nuanced landscape of AI in national security. Challenging the prevalent "AI arms race" narrative. The discussion delves into the complexities of AI integration in defense, the cultural shifts required within the Department of Defense, and the critical role of public trust and shared national vision. Tune in to understand how AI is reshaping military strategies and the broader implications for society. Hosted on Acast. See acast.com/privacy for more information.

Is AI the Fourth Pillar of Infrastructure?Infrastructure doesn't go away — it layers. And today, AI is emerging as a new foundational layer alongside compute, storage, and networking.Erik Torenberg interviews a16z's Martin Casado, Jennifer Li, and Matt Bornstein breaking down how infrastructure is evolving in the age of AI — from models and agents to developer tools and shifting user behavior.We dive into what infra actually means today, how it differs from enterprise, and why software itself is being disrupted. Plus, we explore the rise of technical users as buyers, what makes infra companies defensible, and how past waves — from the cloud to COVID to AI — are reshaping how we build and invest. Timestamps: (00:00) Introduction (01:49) Defining Infrastructure in the AI Era(03:15) The Fourth Pillar: AI's Role in Infrastructure(06:01) Historical Context and Evolution of Infrastructure(08:20) The Impact of AI on Software Development(10:18) Investment Strategies and Market Dynamics(17:02) Developer Tools and AI Integration(20:57) Defensibility in the AI Landscape(22:16) Founders' Intuition and Industry Progress(22:26) Defensibility in AI Infrastructure(24:00) Expansion and Contraction Phases in the Industry(24:35) The Role of Layers in Market Consolidation(27:43) The Future of AI Models and Specialization(29:27) The Decade of AI Agents(29:54) Context Engineering and New Infrastructure(34:23) The Evolution of Software Development(42:13) Horizontal vs. Vertical Integration in AI(43:54) Conclusion and Final Thoughts Resources: Find Martin on X: https://x.com/martin_casadoFind Jennifer on X: https://x.com/JenniferHliFind Matt on X: https://x.com/BornsteinMatt Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Tech Talk with Steve Thomson and Doug Swinhart returns after a weeks long Twins induced hiatus! Topics include: Forced AI integration in your email inbox Listener calls on Autocad and recovering a lost WiFi password Proton password manager Where to go to get a laptop/desktop worked on What Doug recommends for antivirus software

Exploring Wayne Crowe's AI integration claims including machine learning, predictive analytics, blockchain, VR, and quantum computing. Separating genuine innovation from tech hype for digital natives and early adopters. True Affiliate Marketing Reviews City: Roberts Creek Address: Park Ave Website: https://www.trueaffiliatemarketingreviews.com

Welcome to Digital Learning Today. In this episode, Jeff Bradbury explores the strategic systems that shape the future of education, focusing on Instructional Coaching, Artificial Intelligence, Professional Learning, and the latest Educational Technology Trends. In this episode, Jeffrey Bradbury interviews Andrew Caffrey, CEO of Canopy Education, discussing the latest developments in Google education tools, the integration of AI in classrooms, and the launch of Education Magazine. They explore the role of Canopy Education in professional development, the importance of structured training for teachers, and the potential of Google Vids as an educational tool. The conversation emphasizes the need for educators to adapt to new technologies while maintaining a focus on effective teaching and learning practices. Become a High-Impact Leader: This episode is just the beginning. To get the complete blueprint for designing and implementing high-impact systems in your district, get your copy of my book, "Impact Standards." Strategic Vision for Digital Learning: Learn how to create a district-wide vision that aligns digital learning with your educational goals, transforming how standards-based instruction is designed and supported. Curriculum Design and Implementation: Discover practical strategies for integrating digital learning into existing curricula, creating vertical alignment of skills, and mapping digital learning across grade levels. Effective Instructional Coaching: Master the art of coaching people rather than technology, building relationships that drive success, and measuring impact through student engagement rather than just technology usage. Purchase your copy of “Impact Standards” on Amazon today! Key Takeaways: Canopy Education focuses on training teachers to use technology effectively in classrooms. AI integration in education is evolving, with tools like Gemini being introduced. Professional development should be structured and focused on specific tools or areas. Google Classroom offers various tools to assist teachers in content creation. Education Magazine aims to provide resources specifically for teachers using Google and Canva. Google Vids is now available to all editions of Google, enhancing video use in classrooms. Teachers should not rush to adopt new tools without proper training and understanding. The importance of teaching and learning should guide the use of technology in education. Canopy Education is a community interest company focused on making a difference in education. Feedback from educators is crucial for improving educational tools and resources. Chapters: 00:00 Introduction to Canopy Education and ISTE Experience 02:42 Understanding Canopy Education's Role in Professional Development 05:56 Exploring Google Classroom and AI Integration 08:51 The Evolution of AI in Education 11:49 Navigating Google Classroom Features 14:33 Launching Canopy Education Magazine 17:48 Determining Content for Canopy Education Magazine 19:15 Teaching and Learning as a Core Focus 20:32 Selective Adoption of Educational Tools 21:38 Exploring Google Vids for Classroom Use 23:30 Video Evidence in Education 24:53 Integration of Google Tools in Classrooms 25:49 Classroom Management with Google Tools 28:37 Strategizing Instructional Coaching for New Tools 30:06 Professional Development Resources for Educators...

Amar Ghose has been growing Zenmaid from idea to market leader as a non-technical founder. Zenmaid is a SaaS platform that's been helping maid service owners grow their businesses since 2013. Amar is one of those amazing founders who truly embodies the bootstrapping spirit—when his co-founder left early on at just $15k in monthly revenue, he could have easily given up. Instead, he stuck with it, and through relentless customer focus and persistence, he's built ZenMaid into a $150k per month business over the past 12 years.What makes Amar's story particularly inspiring is that he's a non-technical founder who used a customer development approach from day one, really listening to his market and building exactly what maid service owners needed. He's also created an incredible content marketing ecosystem around ZenMaid—from YouTube channels to the Maid Summit conference to podcasts—always focused on helping maid service owners succeed rather than just selling software.We're talking about the power of persistence in bootstrapping, how to build as a non-technical founder, the importance of customer development, and how to create content that truly serves your community. We'll also dive into building a remote-first, location-independent company and staying focused on your customers' success over quick growth.The blog post: https://thebootstrappedfounder.com/amar-ghose-from-non-technical-founder-to-saas-innovator/The podcast episode: https://tbf.fm/episodes/403-amar-ghose-from-non-technical-founder-to-saas-innovatorCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Ep.329 Building with Purpose with Eduaide In this episode, I welcome back two familiar voices: Thomas Thompson and Thomas Hummel, the powerhouse team behind Eduaide.AI. This isn't just another conversation about AI. It's a grounded, honest discussion on what it means to build tech for teachers, by teachers.We talk growth, grit, and grounded design. From their classroom beginnings to becoming one of the most trusted teacher-first platforms, we unpack how they're putting pedagogy over hype, and purpose over buzzwords.

Send us a textYou think going digital in pathology just means buying a scanner? Think again. In this episode sponsored by Epredia, I sat down with Ryan Davis, Director of Global Business Strategy at Epredia, to talk about what it really takes to implement digital pathology—and why modularity, cytology support, and AI integration are changing the game. Whether you're starting your digital journey or scaling up with advanced tech, there's something in this conversation for you.

Send us a textIf you're scaling your agency but still stuck in the center of everything — decisions, operations, delivery — it's costing you more than time. It's capping your growth, draining your team, and blocking your ability to build something truly sellable.In this episode, I'm joined by Jordan Calderon, two-time exit founder and President of StratDev, a top 100 U.S. digital marketing firm that's generated over $150 million in tracked client revenue. He's also the founder of My Virtual Desk and someone who's turned down 11 acquisition offers because he knew he could scale further.We talk about how to build systems that scale without you, create operational clarity, avoid burnout, and make your business not just profitable, but sellable. You'll hear how Jordan thinks about AI, team retention, hiring and firing, and what it really takes to create sellable agency systems that unlock optionality and freedom at scale.If you've ever asked, “How do I get out of the day-to-day?”  this is the episode for you.⏱ Chapter Breakdown00:03 — Meet Jordan Calderon: Founder, Strategist, 2X Exit Leader 01:22 — From Econ Class Dropout to Serial Entrepreneur 05:44 — Building and Selling His First E-Com Business 07:56 — What Buyers Actually Want in a Sellable Agency 11:07 — Learning Marketing by Doing (and YouTube) 13:20 — Turning Down 11 Acquisition Offers (and Why) 16:10 — Hard Lessons: Hiring Slow, Firing Fast 18:05 — Building a Team That Performs (and Stays) 21:58 — Who StratDev Serves and Why 23:53 — The Daily Practice That Keeps Him Leveling Up 28:30 — AI Integration and What Agencies Must Prepare For 31:15 — The Future Agency Model: Execution vs. Operator

In this video, I discuss the transformative potential of AI and automation tools in the workplace. I share my experiences with multi-tabling agents, illustrating how these tools can significantly enhance productivity and efficiency. I emphasize the importance of orchestrating multiple AI agents to achieve complex tasks and highlight the future of work, where human roles will increasingly be complemented by AI capabilities.---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/g2H5--Chapters00:00 Introduction to Multi-Agent Orchestration02:52 The Concept of Multi-Tabling in AI Workflows04:16 Real-World Applications and Success Stories04:19 Harnessing AI Agents for Productivity07:05 The Future of Work: Multi-Tabling with AI10:22 Transformational Insights from AI Integration

SaaStr 810: AI and the Bottom Line, How Canva Turns Freemium into Conversions with Canva's CCO Rob Giglio Join John Gleason, founder and managing partner at Success Venture Partners, as he interviews Rob Giglio, Chief Customer Officer at Canva. Rob shares his extensive experience leading customer success, sales, and go-to-market functions at top companies like HubSpot, DocuSign, and Adobe. In this episode, Rob delves into his strategic approach to scaling Canva's enterprise business while maintaining the company's unique customer-centric culture. He also discusses the integration of AI to enhance customer experiences and how value-driven customer journeys underpin Canva's growth. Perfect for aspiring CCOs and anyone interested in the intersection of customer success and sales.   00:00 Introduction and Guest Welcome 00:29 Rob's Role and Responsibilities at Canva 03:11 Career Journey and Mentorship 07:17 Building Enterprise at Canva 14:20 Customer-Centric Approach 21:42 AI Integration at Canva 24:36 Conclusion and Final Thoughts     ---- This episode of the SaaStr podcast is sponsored by: get.tech The best .coms are taken or overpriced. So you settle on a workaround domain for your website. Don't compromise. Get a clean, sharp .tech domain that instantly says: this is a tech startup. Grab yours at get.tech/saastr or via domain registrars like GoDaddy. ---- Hey everybody, SaaStr AI's next stop takes us to London on December 2nd and 3rd! It's Christmas with SaaStr and 2,000 of the best SaaS and AI leaders.    The biggest names will be there. The best networking.    Early adopter tickets are selling faster than we expected. So don't wait. With only 5 months until the event, we expect this year's SaaStr London event to sell out to capacity.    Use my code jason20pod for exclusive savings. Get your tickets now at podcast.saastrlondon.com or use code jason20pod at checkout.   SaaStr AI London – where SaaS Meets AI in London. See you there.

Dr. Paul Hanona and Dr. Arturo Loaiza-Bonilla discuss how to safely and smartly integrate AI into the clinical workflow and tap its potential to improve patient-centered care, drug development, and access to clinical trials. TRANSCRIPT Dr. Paul Hanona: Hello, I'm Dr. Paul Hanona, your guest host of the ASCO Daily News Podcast today. I am a medical oncologist as well as a content creator @DoctorDiscover, and I'm delighted to be joined today by Dr. Arturo Loaiza-Bonilla, the chief of hematology and oncology at St. Luke's University Health Network. Dr. Bonilla is also the co-founder and chief medical officer at Massive Bio, an AI-driven platform that matches patients with clinical trials and novel therapies. Dr. Loaiza-Bonilla will share his unique perspective on the potential of artificial intelligence to advance precision oncology, especially through clinical trials and research, and other key advancements in AI that are transforming the oncology field. Our full disclosures are available in the transcript of the episode. Dr. Bonilla, it's great to be speaking with you today. Thanks for being here. Dr. Arturo Loaiza-Bonilla: Oh, thank you so much, Dr. Hanona. Paul, it's always great to have a conversation. Looking forward to a great one today. Dr. Paul Hanona: Absolutely. Let's just jump right into it. Let's talk about the way that we see AI being embedded in our clinical workflow as oncologists. What are some practical ways to use AI? Dr. Arturo Loaiza-Bonilla: To me, responsible AI integration in oncology is one of those that's focused on one principle to me, which is clinical purpose is first, instead of the algorithm or whatever technology we're going to be using. If we look at the best models in the world, they're really irrelevant unless we really solve a real day-to-day challenge, either when we're talking to patients in the clinic or in the infusion chair or making decision support. Currently, what I'm doing the most is focusing on solutions that are saving us time to be more productive and spend more time with our patients. So, for example, we're using ambient AI for appropriate documentation in real time with our patients. We're leveraging certain tools to assess for potential admission or readmission of patients who have certain conditions as well. And it's all about combining the listening of physicians like ourselves who are end users, those who create those algorithms, data scientists, and patient advocates, and even regulators, before they even write any single line of code. I felt that on my own, you know, entrepreneurial aspects, but I think it's an ethos that we should all follow. And I think that AI shouldn't be just bolted on later. We always have to look at workflows and try to look, for example, at clinical trial matching, which is something I'm very passionate about. We need to make sure that first, it's easier to access for patients, that oncologists like myself can go into the interface and be able to pull the data in real time when you really need it, and you don't get all this fatigue alerts. To me, that's the responsible way of doing so. Those are like the opportunities, right? So, the challenge is how we can make this happen in a meaningful way – we're just not reacting to like a black box suggestion or something that we have no idea why it came up to be. So, in terms of success – and I can tell you probably two stories of things that we know we're seeing successful – we all work closely with radiation oncologists, right? So, there are now these tools, for example, of automated contouring in radiation oncology, and some of these solutions were brought up in different meetings, including the last ASCO meeting. But overall, we know that transformer-based segmentation tools; transformer is just the specific architecture of the machine learning algorithm that has been able to dramatically reduce the time for colleagues to spend allotting targets for radiation oncology. So, comparing the target versus the normal tissue, which sometimes it takes many hours, now we can optimize things over 60%, sometimes even in minutes. So, this is not just responsible, but it's also an efficiency win, it's a precision win, and we're using it to adapt even mid-course in response to tumor shrinkage. Another success that I think is relevant is, for example, on the clinical trial matching side. We've been working on that and, you know, I don't want to preach to the choir here, but having the ability for us to structure data in real time using these tools, being able to extract information on biomarkers, and then show that multi-agentic AI is superior to what we call zero-shot or just throwing it into ChatGPT or any other algorithm, but using the same tools but just fine-tuned to the point that we can be very efficient and actually reliable to the level of almost like a research coordinator, is not just theory. Now, it can change lives because we can get patients enrolled in clinical trials and be activated in different places wherever the patient may be. I know it's like a long answer on that, but, you know, as we talk about responsible AI, that's important. And in terms of what keeps me up at night on this: data drift and biases, right? So, imaging protocols, all these things change, the lab switch between different vendors, or a patient has issues with new emerging data points. And health systems serve vastly different populations. So, if our models are trained in one context and deployed in another, then the output can be really inaccurate. So, the idea is to become a collaborative approach where we can use federated learning and patient-centricity so we can be much more efficient in developing those models that account for all the populations, and any retraining that is used based on data can be diverse enough that it represents all of us and we can be treated in a very good, appropriate way. So, if a clinician doesn't understand why a recommendation is made, as you probably know, you probably don't trust it, and we shouldn't expect them to. So, I think this is the next wave of the future. We need to make sure that we account for all those things. Dr. Paul Hanona: Absolutely. And even the part about the clinical trials, I want to dive a little bit more into in a few questions. I just kind of wanted to make a quick comment. Like you said, some of the prevalent things that I see are the ambient scribes. It seems like that's really taken off in the last year, and it seems like it's improving at a pretty dramatic speed as well. I wonder how quickly that'll get adopted by the majority of physicians or practitioners in general throughout the country. And you also mentioned things with AI tools regarding helping regulators move things quicker, even the radiation oncologist, helping them in their workflow with contouring and what else they might have to do. And again, the clinical trials thing will be quite interesting to get into. The first question I had subsequent to that is just more so when you have large datasets. And this pertains to two things: the paper that you published recently regarding different ways to use AI in the space of oncology referred to drug development, the way that we look at how we design drugs, specifically anticancer drugs, is pretty cumbersome. The steps that you have to take to design something, to make sure that one chemical will fit into the right chemical or the structure of the molecule, that takes a lot of time to tinker with. What are your thoughts on AI tools to help accelerate drug development? Dr. Arturo Loaiza-Bonilla: Yes, that's the Holy Grail and something that I feel we should dedicate as much time and effort as possible because it relies on multimodality. It cannot be solved by just looking at patient histories. It cannot be solved by just looking at the tissue alone. It's combining all these different datasets and being able to understand the microenvironment, the patient condition and prior treatments, and how dynamic changes that we do through interventions and also exposome – the things that happen outside of the patient's own control – can be leveraged to determine like what's the best next step in terms of drugs. So, the ones that we heard the news the most is, for example, the Nobel Prize-winning [for Chemistry awarded to Demis Hassabis and John Jumper for] AlphaFold, an AI system that predicts protein structures right? So, we solved this very interesting concept of protein folding where, in the past, it would take the history of the known universe, basically – what's called the Levinthal's paradox – to be able to just predict on amino acid structure alone or the sequence alone, the way that three-dimensionally the proteins will fold. So, with that problem being solved and the Nobel Prize being won, the next step is, “Okay, now we know how this protein is there and just by sequence, how can we really understand any new drug that can be used as a candidate and leverage all the data that has been done for many years of testing against a specific protein or a specific gene or knockouts and what not?” So, this is the future of oncology and where we're probably seeing a lot of investments on that. The key challenge here is mostly working on the side of not just looking at pathology, but leveraging this digital pathology with whole slide imaging and identifying the microenvironment of that specific tissue. There's a number of efforts currently being done. One isn't just H&E, like hematoxylin and eosin, slides alone, but with whole imaging, now we can use expression profiles, spatial transcriptomics, and gene whole exome sequencing in the same space and use this transformer technology in a multimodality approach that we know already the slide or the pathology, but can we use that to understand, like, if I knock out this gene, how is the microenvironment going to change to see if an immunotherapy may work better, right? If we can make a microenvironment more reactive towards a cytotoxic T cell profile, for example. So, that is the way where we're really seeing the field moving forward, using multimodality for drug discovery. So, the FDA now seems to be very eager to support those initiatives, so that's of course welcome. And now the key thing is the investment to do this in a meaningful way so we can see those candidates that we're seeing from different companies now being leveraged for rare disease, for things that are going to be almost impossible to collect enough data, and make it efficient by using these algorithms that sometimes, just with multiple masking – basically, what they do is they mask all the features and force the algorithm to find solutions based on the specific inputs or prompts we're doing. So, I'm very excited about that, and I think we're going to be seeing that in the future. Dr. Paul Hanona: So, essentially, in a nutshell, we're saying we have the cancer, which is maybe a dandelion in a field of grass, and we want to see the grass that's surrounding the dandelion, which is the pathology slides. The problem is, to the human eye, it's almost impossible to look at every single piece of grass that's surrounding the dandelion. And so, with tools like AI, we can greatly accelerate our study of the microenvironment or the grass that's surrounding the dandelion and better tailor therapy, come up with therapy. Otherwise, like you said, to truly generate a drug, this would take years and years. We just don't have the throughput to get to answers like that unless we have something like AI to help us. Dr. Arturo Loaiza-Bonilla: Correct. Dr. Paul Hanona: And then, clinical trials. Now, this is an interesting conversation because if you ever look up our national guidelines as oncologists, there's always a mention of, if treatment fails, consider clinical trials. Or in the really aggressive cancers, sometimes you might just start out with clinical trials. You don't even give the standard first-line therapy because of how ineffective it is. There are a few issues with clinical trials that people might not be aware of, but the fact that the majority of patients who should be on clinical trials are never given the chance to be on clinical trials, whether that's because of proximity, right, they might live somewhere that's far from the institution, or for whatever reason, they don't qualify for the clinical trial, they don't meet the strict inclusion criteria.  But a reason you mentioned early on is that it's simply impossible for someone to be aware of every single clinical trial that's out there. And then even if you are aware of those clinical trials, to actually find the sites and put in the time could take hours. And so, how is AI going to revolutionize that? Because in my mind, it's not that we're inventing a new tool. Clinical trials have always been available. We just can't access them. So, if we have a tool that helps with access, wouldn't that be huge? Dr. Arturo Loaiza-Bonilla: Correct. And that has been one of my passions. And for those who know me and follow me and we've spoke about it in different settings, that's something that I think we can solve. This other paradox, which is the clinical trial enrollment paradox, right? We have tens of thousands of clinical trials available with millions of patients eager to learn about trials, but we don't enroll enough and many trials close to accrual because of lack of enrollment. It is completely paradoxical and it's because of that misalignment because patients don't know where to go for trials and sites don't know what patients they can help because they haven't reached their doors yet. So, the solution has to be patient-centric, right? We have to put the patient at the center of the equation. And that was precisely what we had been discussing during the ASCO meeting. There was an ASCO Education Session where we talked about digital prescreening hubs, where we, in a patient-centric manner, the same way we look for Uber, Instacart, any solution that you may think of that you want something that can be leveraged in real time, we can use these real-world data streams from the patient directly, from hospitals, from pathology labs, from genomics companies, to continuously screen patients who can match to the inclusion/exclusion criteria of unique trials. So, when the patient walks into the clinic, the system already knows if there's a trial and alerts the site proactively. The patient can actually also do decentralization. So, there's a number of decentralized clinical trial solutions that are using what I call the “click and mortar” approach, which is basically the patient is checking digitally and then goes to the site to activate. We can also have the click and mortar in the bidirectional way where the patient is engaged in person and then you give the solution like the ones that are being offered on things that we're doing at Massive Bio and beyond, which is having the patient to access all that information and then they make decisions and enroll when the time is right.  As I mentioned earlier, there is this concept drift where clinical trials open and close, the patient line of therapy changes, new approvals come in and out, and sites may not be available at a given time but may be later. So, having that real-time alerts using tools that are able already to extract data from summarization that we already have in different settings and doing this natural language ingestion, we can not only solve this issue with manual chart review, which is extremely cumbersome and takes forever and takes to a lot of one-time assessments with very high screen failures, to a real-time dynamic approach where the patient, as they get closer to that eligibility criteria, they get engaged. And those tools can be built to activate trials, audit trials, and make them better and accessible to patients. And something that we know is, for example, 91%-plus of Americans live close to either a pharmacy or an imaging center. So, imagine that we can potentially activate certain of those trials in those locations. So, there's a number of pharmacies, special pharmacies, Walgreens, and sometimes CVS trying to do some of those efforts. So, I think the sky's the limit in terms of us working together. And we've been talking with corporate groups, they're all interested in those efforts as well, to getting patients digitally enabled and then activate the same way we activate the NCTN network of the corporate groups, that are almost just-in-time. You can activate a trial the patient is eligible for and we get all these breakthroughs from the NIH and NCI, just activate it in my site within a week or so, as long as we have the understanding of the protocol. So, using clinical trial matching in a digitally enabled way and then activate in that same fashion, but not only for NCTN studies, but all the studies that we have available will be the key of the future through those prescreening hubs. So, I think now we're at this very important time where collaboration is the important part and having this silo-breaking approach with interoperability where we can leverage data from any data source and from any electronic medical records and whatnot is going to be essential for us to move forward because now we have the tools to do so with our phones, with our interests, and with the multiple clinical trials that are coming into the pipelines. Dr. Paul Hanona: I just want to point out that the way you described the process involves several variables that practitioners often don't think about. We don't realize the 15 steps that are happening in the background. But just as a clarifier, how much time is it taking now to get one patient enrolled on a clinical trial? Is it on the order of maybe 5 to 10 hours for one patient by the time the manual chart review happens, by the time the matching happens, the calls go out, the sign-up, all this? And how much time do you think a tool that could match those trials quicker and get you enrolled quicker could save? Would it be maybe an hour instead of 15 hours? What's your thought process on that? Dr. Arturo Loaiza-Bonilla: Yeah, exactly. So one is the matching, the other one is the enrollment, which, as you mentioned, is very important. So, it can take, from, as you said, probably between 4 days to sometimes 30 days. Sometimes that's how long it takes for all the things to be parsed out in terms of logistics and things that could be done now agentically. So, we can use agents to solve those different steps that may take multiple individuals. We can just do it as a supply chain approach where all those different steps can be done by a single agent in a simultaneous fashion and then we can get things much faster. With an AI-based solution using these frontier models and multi-agentic AI – and we presented some of this data in ASCO as well – you can do 5,000 patients in an hour, right? So, just enrolling is going to be between an hour and maximum enrollment, it could be 7 days for those 5,000 patients if it was done at scale in a multi-level approach where we have all the trials available. Dr. Paul Hanona: No, definitely a very exciting aspect of our future as oncologists. It's one thing to have really neat, novel mechanisms of treatment, but what good is it if we can't actually get it to people who need it? I'm very much looking for the future of that.  One of the last questions I want to ask you is another prevalent way that people use AI is just simply looking up questions, right? So, traditionally, the workflow for oncologists is maybe going on national guidelines and looking up the stage of the cancer and seeing what treatments are available and then referencing the papers and looking at who was included, who wasn't included, the side effects to be aware of, and sort of coming up with a decision as to how to treat a cancer patient. But now, just in the last few years, we've had several tools become available that make getting questions easier, make getting answers easier, whether that's something like OpenAI's tools or Perplexity or Doximity or OpenEvidence or even ASCO has a Guidelines Assistant as well that is drawing from their own guidelines as to how to treat different cancers. Do you see these replacing traditional sources? Do you see them saving us a lot more time so that we can be more productive in clinic? What do you think is the role that they're going to play with patient care? Dr. Arturo Loaiza-Bonilla: Such a relevant question, particularly at this time, because these AI-enabled query tools, they're coming left and right and becoming increasingly common in our daily workflows and things that we're doing. So, traditionally, when we go and we look for national guidelines, we try to understand the context ourselves and then we make treatment decisions accordingly. But that is a lot of a process that now AI is helping us to solve. So, at face value, it seems like an efficiency win, but in many cases, I personally evaluate platforms as the chief of hem/onc at St. Luke's and also having led the digital engagement things through Massive Bio and trying to put things together, I can tell you this: not all tools are created equal. In cancer care, each data point can mean the difference between cure and progression, so we cannot really take a lot of shortcuts in this case or have unverified output. So, the tools are helpful, but it has to be grounded in truth, in trusted data sources, and they need to be continuously updated with, like, ASCO and NCCN and others. So, the reason why the ASCO Guidelines Assistant, for instance, works is because it builds on all these recommendations, is assessed by end users like ourselves. So, that kind of verification is critical, right? We're entering a phase where even the source material may be AI-generated. So, the role of human expert validation is really actually more important, not less important. You know, generalist LLMs, even when fine-tuned, they may not be enough. You can pull a few API calls from PubMed, etc., but what we need now is specialized, context-aware, agentic tools that can interpret multimodal and real-time clinical inputs. So, something that we are continuing to check on and very relevant to have entities and bodies like ASCO looking into this so they can help us to be really efficient and really help our patients. Dr. Paul Hanona: Dr. Bonilla, what do you want to leave the listener with in terms of the future direction of AI, things that we should be cautious about, and things that we should be optimistic about? Dr. Arturo Loaiza-Bonilla: Looking 5 years ahead, I think there's enormous promise. As you know, I'm an AI enthusiast, but always, there's a few priorities that I think – 3 of them, I think – we need to tackle head-on. First is algorithmic equity. So, most AI tools today are trained on data from academic medical centers but not necessarily from community practices or underrepresented populations, particularly when you're looking at radiology, pathology, and what not. So, those blind spots, they need to be filled, and we can eliminate a lot of disparities in cancer care. So, those frameworks to incentivize while keeping the data sharing using federated models and things that we can optimize is key. The second one is the governance on the lifecycle. So, you know, AI is not really static. So, unlike a drug that is approved and it just, you know, works always, AI changes. So, we need to make sure that we have tools that are able to retrain and recall when things degrade or models drift. So, we need to use up-to-date AI for clinical practice, so we are going to be in constant revalidation and make it really easy to do. And lastly, the human-AI interface. You know, clinicians don't need more noise or we don't need more black boxes. We need decision support that is clear, that we can interpret, and that is actionable. “Why are you using this? Why did we choose this drug? Why this dose? Why now?” So, all these things are going to help us and that allows us to trace evidence with a single click. So, I always call it back to the Moravec's paradox where we say, you know, evolution gave us so much energy to discern in the sensory-neural and dexterity. That's what we're going to be taking care of patients. We can use AI to really be a force to help us to be better clinicians and not to really replace us. So, if we get this right and we decide for transparency with trust, inclusion, etc., it will never replace any of our work, which is so important, as much as we want, we can actually take care of patients and be personalized, timely, and equitable. So, all those things are what get me excited every single day about these conversations on AI. Dr. Paul Hanona: All great thoughts, Dr. Bonilla. I'm very excited to see how this field evolves. I'm excited to see how oncologists really come to this field. I think with technology, there's always a bit of a lag in adopting it, but I think if we jump on board and grow with it, we can do amazing things for the field of oncology in general. Thank you for the advancements that you've made in your own career in the field of AI and oncology and just ultimately with the hopeful outcomes of improving patient care, especially cancer patients. Dr. Arturo Loaiza-Bonilla: Thank you so much, Dr. Hanona. Dr. Paul Hanona: Thanks to our listeners for your time today. If you value the insights that you hear on ASCO Daily News Podcast, please take a moment to rate, review, and subscribe wherever you get your podcasts. Disclaimer: The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement. More on today's speakers:    Dr. Arturo Loaiza-Bonilla @DrBonillaOnc Dr. Paul Hanona @DoctorDiscover on YouTube Follow ASCO on social media:      @ASCO on Twitter      ASCO on Facebook      ASCO on LinkedIn    ASCO on BlueSky Disclosures: Paul Hanona: No relationships to disclose. Dr. Arturo-Loaiza-Bonilla: Leadership: Massive Bio Stock & Other Ownership Interests: Massive Bio Consulting or Advisory Role: Massive Bio, Bayer, PSI, BrightInsight, CardinalHealth, Pfizer, AstraZeneca, Medscape Speakers' Bureau: Guardant Health, Ipsen, AstraZeneca/Daiichi Sankyo, Natera

This episode, Nicholas Davis, Co-Director, UTS Human Technology Institute takes listeners on a deep dive into the transformative world of Artificial Intelligence and the essential guardrails needed to ensure its safe, ethical, and effective application. Drawing on global best practices, emerging domestic trends, and state-level strategies, the conversation explores how NSW and the broader Australian public sector can harness AI's potential while maintaining public trust and navigating complex regulatory landscapes. From understanding the technology and building a clear strategy, to implementing governance frameworks and operationalising AI at scale, this episode unpacks every layer of the journey. Whether you're exploring use cases or managing risk, it offers a roadmap for safely accelerating AI adoption across government. Nicholas Davis, Co-Director, UTS Human Technology Institute   For more great insights head to www.PublicSectorNetwork.co    

Harmony Anderson didn't wait 90 days to make an impact at Superhuman — she launched a major campaign in her first five weeks. Harmony Anderson, Head of Marketing and Growth Product at Superhuman, breaks down why moving fast (and strategically) matters more than playing it safe, especially in high-growth startups. We dig into what it really takes to scale from $20M to $200M ARR, how to enter the enterprise market without abandoning your early adopters, and why traditional attribution models are falling behind in the age of AI and influencers. If you're navigating go-to-market pivots, building modern marketing infrastructure, or just trying to avoid another forgettable brand campaign — this episode is packed with insights. And congratulations to the Superhuman team for being acquired by Grammarly! Key Moments: 00:00 Harmony Anderson on Moving Upmarket and Scaling 01:35 Welcome to Marketing Trends 02:05 Harmony Anderson's Career Journey 08:33 Fast-Paced Marketing Strategies 13:20 Navigating the Dark Funnel 15:59 Balancing Brand and Attribution 16:47 The Role of Influencers in Modern Marketing 19:27 Positioning in the AI Market 24:41 Moving Up Market: Challenges and Strategies 35:06 Vision Setting and Company Evolution 36:11 Superhuman's Ambitious Roadmap 37:02 Unified Productivity and AI Integration 44:18 Scaling Operations for Rapid Growth 48:09 Innovative Tools and Harmony's Tech Stack 51:13 AI in Content Creation and Marketing 56:02 The Resurgence of Webinars 01:02:14 Superhuman for Startups Program Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org.

  In this episode of 'Cybersecurity Today,' host Jim Love discusses the recent deep fake attack on high-ranking US government officials using AI voice cloning technology. The conversation highlights the growing ease and risks of AI-generated impersonations. The episode also covers the advancements in AI systems connecting with enterprise data and the security implications, alongside recent updates on events like Ingram Micro's ransomware attack and Google's confusing Gemini AI rollout for Android. Additionally, the show explores a new method called Info Flood that can trick chatbots into providing dangerous information by using academic-sounding language. 00:00 Deep Fakes Hit US Government 02:40 AI Integration in Enterprise Systems 05:49 Ingram Micro Ransomware Attack Update 07:22 Google's Confusing Gemini Release 10:33 Exploiting AI with Academic Jargon 12:34 Conclusion and Contact Information

Vova Feldman is the founder of Freemius, a Merchant of Record payment provider. He's been at it for a while, and it wasn't always easy. Vova shares his approach to weathering the highs and lows of entrepreneurship, how to build a team (and mis-hires), and what operating in the payment industry means for a crafty founder.The blog post: https://thebootstrappedfounder.com/vova-feldman-mastering-entrepreneurship-in-the-payments-sector/ The podcast episode: https://tbf.fm/episodes/401-vova-feldman-mastering-entrepreneurship-in-the-payments-sectorCheck out Podscan, the Podcast database that transcribes every podcast episode out there minutes after it gets released: https://podscan.fmSend me a voicemail on Podline: https://podline.fm/arvidYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw

Podcast: PrOTect It All (LS 26 · TOP 10% what is this?)Episode: How AI Became the Ultimate Cybersecurity Blind Spot: Understanding the Microsoft 365 Copilot VulnerabilityPub date: 2025-07-07Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode, host Aaron Crow dives deep into the fast-evolving world of AI automation and its impact on cybersecurity. Aaron breaks down practical, real-world ways security professionals can leverage AI to streamline their workflows without breaking data loss prevention policies or putting proprietary information at risk.  From drafting reports and playbooks to automating repetitive tasks and managing vulnerability data, Aaron offers actionable advice for using both public AI tools like ChatGPT and more advanced private AI models. He also addresses common fears CISOs and business leaders have about unsanctioned AI use in the workplace and shares tips for staying safe and compliant while taking advantage of AI's efficiencies.  Whether you're in a large enterprise or a lean team with limited resources, you'll come away with a fresh perspective on how to use AI responsibly to work smarter and protect your organization. Plus, Aaron invites listeners to share their own creative AI use cases and lessons learned. Let's jump in and explore how to protect it all as AI advances. Key Moments :  01:20 AI's Rising Role in Media 03:22 Guidelines for Using AI Safely 07:06 "AI Integration and Automation Strategies" 10:03 Automating Windows Management Tasks 14:29 Exploring AI for Personal Tasks Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow   Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast    To be a guest or suggest a guest/episode, please email us at info@protectitall.co   Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Co-hosts Mark Thompson and Steve Little discuss recent updates from Google Gemini and Anthropic Claude that are reshaping AI capabilities for genealogists. Google's Gemini 2.5 Pro with its massive context window and Claude 4's hybrid reasoning models that excels at both writing and document analysis.They share insights from the RootsTech panel on responsible AI use in genealogy, and introduce the Coalition's five core principles for the response use of AI. The episode features an interview with Jessica Taylor, president of Legacy Tree Genealogists, who discusses how her company is thoughtfully experimenting with AI tools.In RapidFire, they preview ChatGPT 5's anticipated summer release, Meta's $14 billion acquisition to stay competitive, and Adobe Acrobat AI's new multi-document capabilities.Timestamps:In the News:03:45 Google Gemini 2.5 Pro: Massive Context Windows Transform Document Analysis15:09 Claude 4 Opus and Sonnet: Hybrid Reasoning Models for Writing and Research26:30 RootsTech Panel: Coalition for Responsible AI in GenealogyInterview:31:28 Jessica Taylor, CEO of Legacy Tree Genealogists, on her cautious approach to AI AdoptionRapidFire:45:07 ChatGPT 5 Coming Soon: One Model to Rule Them All51:08 Meta's $14.8 Billion Scale AI Acquisition56:42 Adobe Acrobat AI Assistant Adds Multi-Document AnalysisResource LinksGoogle I/O Conference Highlightshttps://blog.google/technology/ai/google-io-2025-all-our-announcements/Anthropic Announces Claude 4https://www.anthropic.com/news/claude-4Anthropic's new Claude 4 AI models can reason over many stepshttps://techcrunch.com/2025/05/22/anthropics-new-claude-4-ai-models-can-reason-over-many-steps/Coalition for Responsible AI in Genealogyhttps://craigen.org/Jessica M. Taylorhttps://www.apgen.org/users/jessica-m-taylorLegacy Tree Genealogistshttps://www.legacytree.com/Rootstechhttps://www.familysearch.org/en/rootstech/ChatGPT 5 is Coming Soonhttps://www.tomsguide.com/ai/chatgpt/chatgpt-5-is-coming-soon-heres-what-we-knowMeta's $14.8 billion Scale AI deal latest test of AI partnershipshttps://www.reuters.com/sustainability/boards-policy-regulation/metas-148-billion-scale-ai-deal-latest-test-ai-partnerships-2025-06-13/A frustrated Zuckerberg makes his biggest AI bethttps://www.cnbc.com/2025/06/10/zuckerberg-makes-metas-biggest-bet-on-ai-14-billion-scale-ai-deal.htmlAdobe upgrades Acrobat AI chatbot to add multi-document analysishttps://www.androidauthority.com/adobe-ai-assistant-acrobat-3451988/TagsArtificial Intelligence, Genealogy, Family History, AI Tools, Google Gemini, Claude AI, OpenAI, ChatGPT, Meta AI, Adobe Acrobat, Responsible AI, Coalition for Responsible AI in Genealogy, RootsTech, AI Ethics, Document Analysis, AI Writing Tools, Hybrid Reasoning Models, Context Windows, Professional Genealogy, Legacy Tree Genealogists, Jessica Taylor, AI Integration, Multi-Document Analysis, AI Acquisitions

Can businesses truly stand out in the sea of AI-generated content flooding the digital world? With a promise to unveil innovative strategies, we engage with Jon Logan, the visionary founder of Greenlit Growth Strategies, to dissect the transformative power of online communities. By sharing unique tactics like reimagining traditional marketing methods with a modern flair such as using road signs for workshops we explore how companies can forge stronger connections with their audience amidst the overwhelming influx of digital noise. This episode offers a compelling examination of how industries can cross-pollinate ideas within these communities, helping businesses not just survive but thrive in a crowded marketplace. Shifting gears, we delve into the practical applications of AI in content creation and the indispensable value of professional communities. What does it take to truly stand out in a world where Canva templates are ubiquitous? We break down the importance of moving beyond generic solutions by integrating AI into daily workflows, from idea generation to personal communication. Jon  and I unpack the concept of maker time versus manager time, advocating for structured schedules that amplify creative productivity. We also shine a light on the often-overlooked benefits of professional communities networking, shared learning, and camaraderie that become catalysts for personal growth and business success in this fast-paced digital era.   Timestamps 00:00:00 - Introduction and Welcome to the Business Legacy Podcast   00:01:15 - Introducing Jon Logan, Founder of Greenlit Growth Strategies   00:02:30 - The Future of Online Communities Amid AI Content Surge   00:04:45 - Using Traditional Marketing Tactics with a Modern Twist   00:06:10 - Challenges Faced by Business Owners in the Digital Era   00:09:00 - Evolution of Content Creation Tools and AI Integration   00:10:30 - The Role of AI in Idea Generation and Content Creation   00:11:45 - Exploring Maker Time vs. Manager Time for Productivity   00:13:15 - Networking and Support in Professional Communities   00:14:45 - The Unconventional Marketing Success Stories   00:17:00 - Leveraging Podcasting as a Strategic Business Tool   00:18:30 - Building a Marketing Machine for Business Growth   00:20:00 - Jon Logan's Personal Success Stories in Marketing   00:21:45 - Overcoming Marketing Challenges with Unique Approaches   00:23:15 - Personal Satisfaction from Community Engagement   00:24:45 - Final Thoughts on the Power of AI and Communities   00:26:00 - Where to Find More About Jon Logan and Greenlit Growth Strategies   00:27:00 - Closing Remarks and Invitation to Leave a Review   Episode Resources: Find out more about Jon at: https://greenlitgrowth.com/about-jon-logan And  https://greenlitgrowth.com/ Legacy Podcast: For more information about the Legacy Podcast and its co-hosts, visit businesslegacypodcast.com. Leave a Review: If you enjoyed the episode, leave a review and rating on your preferred podcast platform. For more information: Visit businesslegacypodcast.com to access the shownotes and additional resources on the episode.

What happens when AI agents promise to transform accounting but create more cognitive burden than productivity gains? Blake and David explore the reality behind the AI agent hype as QuickBooks, Digits, and Big Four firms launch their "digital teammates." They also dig into Xero's massive $2.5 billion acquisition of Melio and what it means for the payments landscape. You'll learn why managing AI agents might be like managing offshore contractors—you wake up to work that's 80% done but everyone has questions. Plus, they discuss how external investors are reshaping the profession, why traditional CPA protections might go the way of car dealership laws, and the ongoing problems with audit quality enforcement despite millions in PCAOB fines.Sponsors Cloud Accountant Staffing - http://accountingpodcast.promo/cas Human at Scale - http://accountingpodcast.promo/humanChapters(00:00) - Introduction and Welcome (00:42) - David's Return and Big News (01:01) - The Acquisition of Emilio by Xero (01:33) - Implications of the Acquisition (04:52) - David's Journey with Bill Pay Solutions (06:42) - Emilio's Unique Features and Market Impact (10:47) - Xero's New Features and Updates (20:56) - QuickBooks AI Agents: A Game Changer? (31:21) - Digits AI Agents and Their Potential (36:59) - Big Firms Investing in AI (39:48) - Managing AI Agents: The New Workforce (41:09) - Cognitive Load and Productivity Limits (42:45) - Infinite Workdays and AI's Role (44:48) - AI in Accounting: Potential and Pitfalls (46:30) - AI Spending Trends and Future Outlook (47:18) - Building AI Workflows and Multi-Agent Systems (50:40) - Big Four and AI Integration (52:11) - AI-Powered Pricing and Payment Solutions (58:06) - VC-Backed AI Rollups in Accounting (01:01:47) - Regulatory Challenges and Industry Changes (01:09:10) - Audit Quality and PCAOB Fines (01:18:51) - Conclusion and CPE Information  Show NotesXero to acquire Melio, a leading US SMB bill pay solution, to accelerate global growth https://www.prnewswire.com/news-releases/xero-to-acquire-melio-a-leading-us-smb-bill-pay-solution-to-accelerate-global-growth-302490268.htmlNew Zealand's Xero to buy US fintech Melio for up to $3 billion | Reutershttps://www.reuters.com/legal/transactional/australia-listed-xero-acquire-fintech-melio-over-25-billion-deal-2025-06-24/Intuit Introduces Ground-Breaking Virtual Team of AI Agents to Fuel Growth for Businesses https://investors.intuit.com/news-events/press-releases/detail/1258/intuit-introduces-ground-breaking-virtual-team-of-ai-agents-to-fuel-growth-for-businessesIntuit debuts AI agents for QuickBooks | Accounting Today https://www.accountingtoday.com/news/intuit-debuts-ai-agents-for-quickbooksHow AI is improving accounting efficiency – without replacing jobs | Stanford Report https://news.stanford.edu/stories/2025/06/ai-accounting-bookkeeping-benefits-jobsAI Is Reshaping Accounting Jobs by Doing the "Boring" Stuff | Stanford Graduate School of Business https://www.gsb.stanford.edu/insights/ai-reshaping-accounting-jobs-doing-boring-stuffPCAOB fines Deloitte, PwC, EY Netherlands member firms for exam misconduct | Accounting Todayhttps://www.accountingtoday.com/news/pcaob-fines-deloitte-pwc-ey-netherlands-member-firms-for-exam-misconductPCAOB Imposes Fines Totaling $8.5 Million on Netherlands Member Firms of Deloitte, PwC, and EY After Widespread Exam Misconduct https://pcaobus.org/news-events/news-releases/news-release-detail/pcaob-imposes-fines-totaling--8.5-million-on-netherlands-member-firms-of-deloitte--pwc--and-ey-after-widespread-exam-misconductHow an Accounting Change Hit Store Prices - UCLA Anderson Review https://anderson-review.ucla.edu/how-an-accounting-change-hit-store-pricesNeed CPE?Get CPE for listening to podcasts with Earmark: https://earmarkcpe.comSubscribe to the Earmark Podcast: https://podcast.earmarkcpe.comGet in TouchThanks for listening and the great reviews! We appreciate you! Follow and tweet @BlakeTOliver and @DavidLeary. Find us on Facebook and Instagram. If you like what you hear, please do us a favor and write a review on Apple Podcasts or Podchaser. Call us and leave a voicemail; maybe we'll play it on the show. DIAL (202) 695-1040.SponsorshipsAre you interested in sponsoring The Accounting Podcast? For details, read the prospectus.Need Accounting Conference Info? Check out our new website - accountingconferences.comLimited edition shirts, stickers, and other necessitiesTeePublic Store: http://cloudacctpod.link/merchSubscribeApple Podcasts: http://cloudacctpod.link/ApplePodcastsYouTube: https://www.youtube.com/@TheAccountingPodcastSpotify: http://cloudacctpod.link/SpotifyPodchaser: http://cloudacctpod.link/podchaserStitcher: http://cloudacctpod.link/StitcherOvercast: http://cloudacctpod.link/OvercastClassifiedsREFRAME 2025 -

Jaeden discusses the recent $10 billion funding raised by XAI, its implications for the AI market, and the competitive landscape involving major players like Microsoft, Google, and Meta. He highlights XAI's strategic moves, including the development of community notes as a new fact-checking approach, and the hiring of notable talent like Nikita Bjer. The episode concludes with insights into the future prospects of XAI and its position in the rapidly evolving AI ecosystem.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutChapters00:00 XAI's Massive Funding and Market Position03:07 Strategic Developments and Community Notes05:58 AI Integration and Future Prospects08:55 Leadership Changes and Product Innovations11:47 Conclusion and Call to Action

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, Bonnie shares insights from a recent Salesforce event, exploring how AI agents, data clouds, and robotics are reshaping customer experience, software implementation, and enterprise transformation.Episode 52 | AI Agents in ActionThe Big Themes:Campaigns Are Out, Conversations Are In: Marketing is undergoing a radical transformation. Gone are the days of mass email blasts and no-reply addresses. Instead, AI is ushering in a new era of real-time, personalized engagement. Salesforce is leaning into this shift with tools that replace one-way campaigns with dynamic conversations. AI agents now tailor interactions based on behavior, preferences, and real-time context, fostering true customer intimacy at scale.Unified Data Is the Bedrock of Smart AI: No AI strategy can succeed without clean, connected data. Salesforce's Data Cloud addresses what SAP calls the “swivel chair problem” — when teams toggle between disconnected systems to piece together a customer story. AI agents can't operate effectively if data is fragmented or siloed. That's why Salesforce is investing in tools that unify sales, marketing, support, and financial data, giving AI a full-picture view of the customer journey.AI Agents Are Already Delivering Real Results: AI isn't theoretical anymore — it's working in the wild. Bonnie pointed out two standout cases: University of Chicago Medicine and Ford Pro. In healthcare, Agentforce transformed an outdated, frustrating appointment system into a streamlined digital process, improving both efficiency and patient experience. At Ford, AI agents guide customers to ideal vehicle matches with minimal input, keeping users on-site and increasing conversion.The Big Quote: “I think that buyers are looking more at the execution and fit of software, as opposed to the software brand itself. And I would say that that is a shift in the last year or so, especially now with the advent of AI and just the rapid pace that everything is moving so, less on brand, more about how are you going to offer me the complete solution and break down silos of data?” More from Bonnie Tinder:Connect with Bonnie on LinkedIn or send a message via her Acceleration Economy Analyst page. Visit Cloud Wars for more.

Highlights from this week's conversation include:Technical Freelancer Academy & Consulting Community (1:21)Evolution of Data Teams and Technology (2:52)Data Team Growth and Output vs. Outcome (4:47)Internal Optimization vs. Client-Facing Data Work (7:23)Audience, Delivery Mechanisms, and Actionability (12:40)Proving ROI and Prioritizing Work (15:27)Practical Tips for Data Team-Business Alignment (18:31)Dealing with Vanity and Security Blanket Metrics (23:39)AI's Impact on Data Workflows (27:07)BI Tools, AI Integration, and Dashboards (32:25)Top Skills for Data Professionals (37:27)Career Growth: Technical, Communication, and Business Skills (42:02)Show, Don't Tell: Prototyping and Feedback (44:37)Taking Initiative and Risk in Data Roles (50:21)Parting Advice and Closing Thoughts (51:16)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.

If you're a medical writer today, you're no stranger to tight deadlines, dense source material, and the pressure to deliver educational content that is both engaging and evidence-based. These demands are particularly acute in the world of continuing medical education (CME), where accuracy, clarity, and relevance matter more than ever. As the medical writing landscape evolves, so do the tools that support us. Among the most promising of these is MACg, a generative AI-powered assistant that helps medical writers streamline document analysis, content creation, and research. For writers working in CME or adjacent fields, MACg offers more than convenience—it offers a meaningful shift in how we work. Tune in to learn how I'm using MACg as a collaborative partner in my workflow rather than a replacement for my creative process.  Resources Grab your fee trial of MACg Summer Script Camp

What You'll Learn:In this episode, host Catherine McDonald, Shane Daughenbaugh, and guest Randy Kesterson discuss the integration of AI with Lean thinking on the Lean Solutions Podcast. They emphasize the importance of maintaining human judgment and involvement in the process. They also discuss the need for accurate data collection and the potential for AI to transform workplaces, urging leaders to embrace AI to stay relevant.About the Guest:Today's guest is Randy Kesterson, a seasoned operations executive, consultant, and thought leader with over three decades of experience in manufacturing, supply chain, and Lean transformation. Randy's career includes executive roles at companies like Eastman Chemical and J.M. Huber Corporation, where he led significant enterprise-wide process improvement initiatives.As a certified Lean Six Sigma Black Belt and a skilled coach, Randy helps organizations achieve operational excellence through practical strategies grounded in real-world experience. He currently serves as a trusted advisor and consultant, guiding leaders across industries in strategy deployment, leadership development, and continuous improvement.Links:Click Here For Randy Kesterson's LinkedInClick Here For Kesterson Group Website 

In this episode of the Fundraising Everywhere Podcast, Nikki Bell, Zoe Amar, Phoebe Sabin, and Cam St-Omer Donaldson dive into the digital fundraising landscape, highlighting the importance of continual learning and innovation. They share valuable insights on the digital learning journey, the significance of AI in fundraising, and the transformative impact of the Digital Learning Grant. Click here to subscribe to our email list for exclusive fundraising resources, early access to training, special discounts and more If you enjoyed this episode, don't forget to hit follow and enable notifications so you'll get notified to be first to hear of future podcast episodes. We'd love to see you back again! And thank you to our friends at JustGiving who make the Fundraising Everywhere Podcast possible.

Brian Robbins is the CFO of GitLab, a DevSecOps platform that supports software innovation. He joins Motley Fool CEO, Tom Gardner, plus Chief Investment Officer Andy Cross and AI Engineer Karl Juhl for a conversation about: - How GitLab scaled for remote culture - How technology and AI have shifted over the years - GitLab's plan to handle the evolving cloud and DevOps landscape. Companies mentioned: GTLB Hosts: Tom Gardner, Andy Cross, Karl Juhl Guest: Brian Robbins Engineer: Bart Shannon Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, "TMF") do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. Learn more about your ad choices. Visit megaphone.fm/adchoices

Chapters 00:00 Introduction and Guest Introduction02:15 Domain Investment Strategies04:58 The Value of AI Domains07:51 Long-term Domain Strategies10:22 Cultural Trends and Domain Names13:08 Acquisition of Agentic AI15:44 Conversations with AI Tools18:31 Market Trends and Comparables21:00 Web3 Domains and Future Trends23:28 Product Updates and Features26:29 Closing Thoughts and Advice37:26 Embracing Positivity and Growth in Domain Investing38:16 Insights on Domain Investing and Market Trends39:46 The Evolution of Domain Extensions and Their Value41:05 The Impact of AI on Domain Valuation and Investment42:47 Understanding Market Dynamics in Domain Sales44:46 The Risks and Rewards of High-Stakes Domain Investments46:29 The Role of AI in Domain Research and Appraisal50:36 Innovations in Domain Acquisition and Management54:27 The Future of Domain Investing in a Competitive Landscape01:03:00 Exploring Cryptology and AI01:04:30 Evaluating Domain Names: BTC and MealRequest01:05:49 The Importance of Descriptive Domain Names01:07:55 Analyzing 10X Conversion and Its Market Potential01:09:10 The Challenge of Naming: Tiny Houses and Lucid Agentic01:12:14 Understanding Agentic AI and Its Market Value01:15:56 Self-Roasting: Domain Name Regrets and Lessons Learned01:21:42 Speculation in Domain Names and Future Trends  Check out $5 .com Fridays and $5.52 .com transfers for up to $2000 in discounts. Only at https://unstoppabledomains.com

Neura Robotics officially launched shed 4NE-1 this week. It's the leading European humanoid robot and it's the most powerful humanoid robot in existence right, as far as I'm aware, able to life 100kg or 220 pounds.Neura also released a plan to build 5 million robots by 2030, a new home service robot named MiPA, a new 'Omnisensor' technology platform for integrating input from multiple types of sensors, and an app store for robot skills that anyone can contribute to ... and profit from.In this TechFirst, we chat with David Reger, CEO of Neura Robotics, the leading European humanoid robotics company.We touch on advanced sensors, AI integration, and Neura Robotics' platform that enables extensive customization and scalability. We also chat about significant partnerships with companies like NVIDIA, SAP, and Deutsche Telekom.00:00 Introduction to Humanoid Robotics00:22 Interview with Neura Robotics CEO00:39 Launch of '4NE-1' Humanoid Robot02:26 Technical Specifications and Capabilities04:39 Advanced Sensor Technology09:24 Artificial Skin and Touch Sensory14:05 AI Integration in Robotics15:53 Challenges in Embodied AI17:11 Robot Gyms and Training19:10 Partnerships and Collaborations20:56 The App Store for Robot Skills22:18 AI-Assisted Development Platform29:15 Introducing Mepa: The Home Robot31:41 Future Prospects and Closing Remarks

What if virality wasn't a tactic — but the entire product?In this episode, a16z General Partners Erik Torenberg and Bryan Kim sit down with Roy Lee, cofounder and CEO of Cluely, one of the most talked-about consumer AI startups of 2025. Cluely didn't raise a mega round or drop a feature suite to get traction - it broke through by turning distribution into design: launching viral short-form videos, pushing polarizing product drops, and building in public with speed and spectacle.We cover:– Why virality is Cluely's moat– Building a brand-native AI interface– The Gen Z founder mindset– What most startups get wrong about attention– Why creators are the new product managers– Cluely's long-term vision for ambient AICluely is a glimpse at the next generation of startups,  where the line between product and performance is disappearing. Timecodes: 00:00 Introduction 01:07 Early Success02:02 Roy's Journey: From College Kid to Tech Universe04:37 The Turning Point: Harvard and Beyond06:57 Building Cluey: The Early Days08:27 The Viral Strategy: Mastering Algorithms13:56 The 50 Interns Experiment15:30 The Investment Journey: Roy and Bryan's Partnership19:20 Momentum as a Moat: The Future of AI Companies20:32 The Evolution of Product Strategy in the AI Era21:19 The Importance of Speed and Adaptability22:48 The Role of Distribution in Modern Startups24:26 Roy's Journey and Product Development25:25 The Power of User Data and Feedback26:58 Innovative Marketing and Distribution Tactics28:25 The Future of AI Integration and Translucent Overlays32:15 Controversial Marketing and Authenticity34:01 The Impact of Radical Transparency36:42 The Changing Landscape of Professionalism38:26 Concluding Thoughts and Future VisionResources: Find Roy on X: https://x.com/im_roy_leeFind Bryan on X: https://x.com/kirbyman01Learn more about Cluely: http://cluely.com/ Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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 and Tom Andrews discuss the capabilities and challenges of Make.com and its new agent features. Tom shares insights on how Make.com integrates various systems for automation, the importance of automation skills over AI agents, and the learning resources available for those interested in mastering the platform. They also explore the limitations of current AI agents and speculate on the future of automation technology.Chapters00:00 Introduction to Make.com and AI Agents02:36 Exploring Make.com Agents and Automations05:15 The Value of Automation vs. Agents08:19 Learning Paths and Resources for Make.com11:12 Challenges and Limitations of Current Agent Technology13:35 Future of Automation and AI Integration