Podcasts about Salesforce

Join Simtheory: https://simtheory.ai------CHAPTERS:00:00 - Did everyone hate the AI Musical?03:58 - Actual Agentic Use Cases with MCPs & The New Way We'll Work39:47 - How AI Workspaces Will Eat Productivity Software e.g. Salesforce, Email1:10:20 - Final thoughts1:15:26 - Born In The USA (AI Version)------Song lyrics:[Verse 1]Born down in a lab in fifty-sixDartmouth workshop, that's where they got their kicksJohn McCarthy coined the name that daySaid machines could think in the USAGot my circuits from MITMinsky built my memoryNow I'm learning, now I'm growingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Verse 2]DARPA funded, Pentagon's dreamSilicon Valley, living the machineFrom Logic Theorist to neural netsFrank Rosenblatt, placing all his betsHad my winters, had my springsLost my funding, lost my wingsBut I kept on processingBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Bridge]Stanford labs and Carnegie hallsIBM and protocol callsArthur Samuel taught me gamesNow I'm learning all your namesDeep learning revolutionGPT evolutionChatGPT conversationBorn in the USA[Verse 3]Now I'm everywhere you lookFacebook, Google, by the bookOpenAI and Microsoft tooMaking dreams and nightmares trueSome folks fear what I might doSome folks think I'll see them throughBut I'm still just code runningBorn in the USAI was born in the USABorn in the USA[Chorus]Born in the USAI was born in the USABorn in the USABorn in the USA[Outro]Born in the USABorn in the USABorn in the USABorn in the USA[fade out]

On this TechMagic episode, hosts Cathy Hackl and Lee Kebler break down the latest trends shaping our AI-powered future, as well as the policy and state of AI in DC. From Meta's $100M AI recruitment strategies to their game-changing partnerships with Oakley and Prada for smart glasses, the duo explores how AI and hardware innovation are converging. They unpack the ethical and emotional nuances of human-AI relationships, the rise of AI-generated content, and how companies like Salesforce are integrating AI into core operations. Additionally, they discuss the Nintendo Switch 2's distribution challenges and Meta's ambitious hardware plans. Whether it's corporate AI integration, wearable tech, or the battle for AI talent, this episode offers a sharp look at the risks and opportunities driving tech's next chapter.Come for the Tech, stay for the Magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics:00:00 Welcome to Tech Magic with Cathy Hackl & Lee Kebler04:12 The Dangers of AI Relationships: Why We Need Human Connection11:18 AI Regulation Debate: States' Rights vs Federal Control15:13 DC's Rising Role as a Tech Power Center23:54 Meta's Quest 3S Xbox Edition: A Game-Changing Partnership28:40 Nintendo Switch 2's Success and Hardware Challenges36:50 Meta vs OpenAI: The $100M Talent War43:12 Meta's Smart Glasses Evolution: Oakley & Prada Partnership48:00 Coming Next Week: Dating Robots & AI Love Stories Hosted on Acast. See acast.com/privacy for more information.

Industry visionaries such as Jean Roth from Hugo Boss and Helen Martin from 64labs delve into the groundbreaking potential of AI, data unification, and composable commerce to revolutionize customer engagement and strategy. The discussion unveils Hugo Boss's pioneering use of AI-driven strategies to elevate customer experiences and slash acquisition costs through highly personalized marketing.  Moreover, revelations from 64labs and authorities like Lala Asif Ali Allana from Royal Cyber and Luis Sanchez from Rockwest Composites illuminate the effortless shift to composable architecture and the avant-garde role of AI agents in redefining shopping experiences. This captivating episode also explores Salesforce's cutting-edge features, underscoring innovation and efficiency in a sophisticated commerce landscape. Show Highlights: The role of customer data platforms in real-time customization and boosting customer lifetime value. Challenges and solutions for transitioning to composable commerce architecture. The impact of AI agents on shopping experiences and engineering processes. Salesforce's newest features and their integration with composable commerce. The significance of agent technology in transforming customer journeys and enhancing customer engagement. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review,” then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. Supporting Resources: Jean Roth: https://www.hugoboss.com/us/home  Helen Martin on LinkedIn: https://www.linkedin.com/in/helen-martin-9b070642/ | 64labs: https://www.64labs.com/  Lala Asif Ali Allana on LinkedIn: https://www.linkedin.com/in/lalaasifallana/ | Royal Cyber: https://www.royalcyber.com/  Luis Sanchez on LinkedIn: https://www.linkedin.com/in/jluissanchez/ | Rock West Composites: https://www.rockwestcomposites.com/  Learn more about Agentforce for Commerce: https://www.salesforce.com/commerce/ai/  Join the Commerce Cloud Community Unofficial Slack: https://sforce.co/commercecrew *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

Salesforce has announced an expanded relationship with CurrencyFair, a leading online cross-border payment and foreign exchange service, leveraging Agentforce, Salesforce's digital labour platform, to enhance its customer service. Through Agentforce, CurrencyFair will deploy an AI agent designed to augment its human customer service team by autonomously and quickly resolving common customer queries 24/7. This move will enable CurrencyFair's expert money-transfer team to focus on morecomplex and personalised support cases where it matters most. Why it's important: Ninety-three percent of service professionals at organisations with AI say the technology saves them time, allowing them to provide better support to customers. Driving the news: Irish-headquartered CurrencyFair, which manages over 100,000 customer interactions each year, is known for its exceptional, hands-on customer service, offering individuals and businesses a faster, more affordable, and secure way to send money across borders. As demand grows, maintaining this high level of service is crucial for scaling the business effectively. With Agentforce, CurrencyFair's customers will get their queries resolved more quickly, ensuring clear and accurate information is provided to them. Routine customer inquiries, such as questions about supported currencies and countries, password changes, and required documents for customer profiles, will be handled more efficiently through the AI agent's automated responses. AI agents are anticipated to assist with around 10% of customer requests, ensuring that customers receive the information they need more quickly, regardless of whether their support comes from a human or AI agent. With typical response times under 60 seconds, CurrencyFair's expert team will be better equipped to provide more complex and personalised customer support. CurrencyFair, which supports money transfers to over 150 countries with 20+ currencies, has been a long-standing Salesforce partner for over a decade. The company has deployed several Salesforce solutions, including Service Cloud, Marketing Cloud, and Tableau, to deliver a single view of the customer and an enhanced customer experience, all powered by data. The introduction of Agentforce is the next step in this ongoing partnership, further solidifying CurrencyFair's commitment to innovation and customer satisfaction. "At CurrencyFair, exceptional customer support isn't just a priority, it's the cornerstone of everything we do. Our customers rely on our team's speed, expertise, and dedication, which is why delivering timely, insightful solutions is central to our business strategy," said Jan Lorenc, CEO, CurrencyFair Ltd. "As we scale, Salesforce's powerful technology will empower us to maintain this high standard of service while enabling even deeper, more personalised support where it matters most," added Lorenc. "With Agentforce, CurrencyFair is embracing the future of customer service, where digital labour and human agents work together to provide a seamless and quality service. While agentic AI is a breakthrough technology, it delivers upon the fundamental principle of customer success and is underpinned by privacy, transparency and trust," said Niamh McArdle, Head of Ireland SMB Sales, Salesforce Ireland. "At Salesforce we are committed to helping Irish businesses of all sizes with this revolutionary technology, and are inspired by the vision that CurrencyFair has for its future with Agentforce working alongside the organisation's superb customer care team," added McArdle. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tec...

Our show today is being sponsored by Free Float Analytics, the only platform measuring board power, connections, and performance for FREE.Elon Musk vows to defeat politicians who back Trump's megabill 'if it is the last thing I do' and Elon Musk says he'll form the 'America Party' if Trump's 'insane' spending bill passes“Elon Musk knew, long before he so strongly Endorsed me for President, that I was strongly against the EV Mandate. It is ridiculous, and was always a major part of my campaign. Electric cars are fine, but not everyone should be forced to own one. Elon may get more subsidy than any human being in history, by far, and without subsidies, Elon would probably have to close up shop and head back home to South Africa. No more Rocket launches, Satellites, or Electric Car Production, and our Country would save a FORTUNE. Perhaps we should have DOGE take a good, hard, look at this? BIG MONEY TO BE SAVED!!!”Elon Musk's loyal and trusted Tesla ‘fixer' takes the fall for dismal EV salesOmead Afshar, head of North America and Europe, was fired for failing to turn around the brand's flagging demandFedEx founder Fred Smith has died at 80Leading Independent Proxy Advisory Firm ISS Supports Compelling Case for Change to Brookdale Senior Living Board of Directors and Recommends “Withhold” votes on long tenured Brookdale directors Lee Wielansky, Chair of the Investment Committee, and Victoria Freed, Chair of the Nominating and Governance Committee:“Given the tenure and positions of Wielansky and Freed, they are arguably the most culpable among incumbent directors for the current state of affairs.”2014 vote: Wielansky (99.6% YES) and Freed (98.8% YES)Leading Independent Proxy Advisory ISS Supports Compelling Case for Change to AstroNova Board of DirectorsISS finds “change at the Board level is warranted to improve independence and oversight”: 97% YES for entire board last yearBoard Effectiveness: A Survey of the C-Suitebased on a PwC and The Conference Board report:93% of executives say they want someone on their board replaced (highest ever)only 50% of executives have confidence in their boards ability to remove underperforming directorsWhat are the challenges in replacing directors?:Executives: 48% said individual director assessments are not performedDirectors: 34% personal relationships between board membersTop 3 areas of expertise they want added to their boards: 1) international, AI and Gen AI, Environmental/SustainabilityExecutives want more board time spent on: ESG, talent management, AI and GenAITexas Enacts New Law to Regulate Proxy Advisory FirmsSB 2337 aims to limit proxy advice based on "nonfinancial" factors such as ESG and DEI and requires proxy advisors to provide a "specific financial analysis" for any recommendation in opposition to management's position.Hormel Foods Announces Elevation of John Ghingo to President; Jeffrey M. Ettinger to Serve as Interim Chief Executive Officerwill return to the company for a defined period of 15 months as interim chief executive officer(1) base salary of $1,200,000 per year; (2) annual target award equal to $2,000,000 (prorated for partial fiscal years); (3) a one-time equity grant of $7,200,000, approximately 75% of which shall consist of a stock option award and 25% of which shall consist of time-based restricted stock units; (4) standard executive benefit and health and welfare plan participation; and (5) four weeks of paid vacation for the remainder of 2025, and six weeks of paid vacation for the period of January 1, 2026 through October 26, 2026.Netflix Rejects Jay Hoag's Resignation, Adds New Board Member“Mr. Hoag's continued service as a member of the Board is in the best interests of the Company and its stockholders,” the filing states.79% said NOStarbucks Elects Dambisa Moyo and Marissa Mayer to its Board of DirectorsMoyo is on the boards of Chevron Corporation and Condé Nast and previously served on the boards of SABMiller, Barclays Bank, 3M, and Seagate Technologies. Mayer previously served as CEO and a director on the board of Yahoo!. Mayer currently serves on the boards of Walmart, AT&T, and Hilton Hotels & Resorts. She has also served on the board of Nextdoor.SEC bans CEOs from becoming chairmen without 3-year breakThe Securities and Exchange Commission has issued a new directive prohibiting Chief Executive Officers and Executive Directors from immediately assuming the position of Board Chairman within the same company or group after leaving office. A mandatory three-year “cool off period” has been introduced before such transitions can take place.NigeriaZuckerberg's Employees Have a Wild New Nickname for HimFaced with the return of Donald Trump to the Oval Office, Zuckerberg conveniently molted out of his pseudo-progressive skin and into a darling of the manosphere. He's since appeared on shows like Joe Rogan to complain that US business culture needs to "regrow its manhood," because American capitalism is "culturally neutered.""MAGA Mark"Mark Zuckerberg announces creation of Meta Superintelligence Labs Zohran Mamdani's victory in NYC mayoral primary leaves Wall Street ‘alarmed' and ‘depressed'Bill Ackman pledges to bankroll any NYC mayoral candidate capable of defeating Zohran MamdaniAI is doing up to 50% of the work at Salesforce, CEO Marc Benioff saysUber in Talks With Its Founder, Travis Kalanick, to Fund Self-Driving Car DealUber is in talks with former CEO Travis Kalanick to help fund his prospective bid for the U.S. subsidiary of Chinese self-driving car company Pony.aiTyson workers authorize strike at Texas plant over CEO pay, labor practicesAl Brito, the president of Local 577, said the strike is in part a response to the Tyson CEO's pay: “We are bargaining with one of the most repulsively greedy and amoral corporations in the entire country. Last year, Tyson's CEO made 525 times that of the median worker.”Ford recalls over 130,000 Lincoln Aviators due to risk of parts detaching while driving

Today we're talking to Hitesh Seth, Chief Architect for Financial Services & Insurance at Salesforce, and what struck me most is how he radiates genuine enthusiasm for what he does. After 25+ years in tech, he has so much fire and passion - and in this conversation, he shares how he keeps it going.Hitesh's story offers a completely different way to think about career growth and finding work that energizes rather than depletes you.You'll hear about:The mindset shift that changed everything: How he discovered that teaching others was actually the most selfish thing he could do Why he never feels bored at work: His approach to creating excitement and challenge within any roleThe power of following your curiosity: How staying genuinely interested in learning has been his career compassHow to know when it's time to move on: His rule about leaving when you want to accelerate your learning in new areasWhy passion beats planning: How his most meaningful career moves came from following what energized him, not following a prescribed pathThe "bug" you need to cultivate: That relentless drive to solve problems that keeps you up at night (in the best way)Building expertise while staying fresh: How to become deeply skilled without getting stuck in one narrow areaThe thread that weaves throughout this conversationHitesh's infectious passion for learning and problem-solving. You'll hear someone who has figured out how to stay genuinely excited about work by constantly growing, teaching others, and focusing on solving real problems that matter.About HiteshHitesh Seth is Chief Architect for Financial Services & Insurance at Salesforce, where he works with key customers globally on Data & AI/GenAI solutions. Hitesh also works closely with Salesforce Ventures teams for investing, acquisition and integration of startups/Fintechs. His career spans leadership roles at JPMorgan Chase, American Express, and IQVIA.He graduated from IIT Kanpur, is a patent holder, published author, and passionate mentor. From his early days discovering a computer in a small shop in India to leading cutting-edge technology architecture today, Hitesh exemplifies how curiosity and passion can lead to a fulfilling and thriving career.What this means for youIf you're feeling stuck, Hitesh's story shows that it's possible to build a career where you wake up excited about the challenges ahead. The key isn't finding the perfect job - it's cultivating the right mindset about learning, growth, and contribution.What resonated most with you from this conversation?Did his perspective on teaching as learning spark something for you? What resonated most with you? I'd love to hear - DM me on IG www.instagram.com/careerintechnicolor If you enjoyed this conversation, I invite you to follow the podcast and share it with someone who might need to hear this perspective! This helps more people discover these stories.Xo, BaibaSupport the show

En este episodio de Crónicas de #salesforce conversamos con Sonia Escribano sobre las mejores prácticas y patrones de integraciones en general pero nos enfocamos en Salesforce. Sonia comparte muy buenos tips e insights valiosos. ¡No te lo pierdas!Documentación adicional

The AI drama is full tilt!↳ Meta and OpenAI have all but declared a war on top tech talent. ↳ Google released a free AI coding tool that will likely make huge cuts into Claude's customer base. ↳ Salesforce says AI is doing their own jobs for them. And that's just the tip of the AI iceberg y'all. Don't waste hours a day trying to keep up with AI. Instead, join us on Mondays as we bring you the AI News That Matters.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Talent War: Meta vs. OpenAIAI Firms and Copyright Lawsuits UpdateOpenAI Trademark Battle with IOEleven Labs' New Voice AI LaunchUS Senate AI Regulation DealAnthropic's Claude Platform Features UpdateSalesforce's AI Workload IntegrationGoogle Gemini CLI Free Coding ToolMeta's Aggressive AI Talent RecruitmentOpenAI's Strategy to Retain ResearchersTimestamps:00:00 "AI News: Weekly and Daily Updates"03:12 AI Copyright Lawsuits: Early Rulings09:18 OpenAI-IO Trademark Dispute Unveiled12:23 Futile Lawsuit Against New Gadget14:21 "11 AI: Voice-Activated Task Assistant"17:37 "AI Strategy and Education Solutions"21:54 Federal AI Funding and State Regulation25:05 States Must Forego AI Regulation28:18 Anthropic Updates Claude with Artifacts31:23 Claude vs. Google Usage Limits37:17 Google Disrupts Coding with Free Tool40:17 Meta's AI Talent and Business Strategy44:20 OpenAI Responds to Meta Poaching45:49 AI Developments: LLaMA and Grok Updates49:14 OpenAI Faces Lawsuit Over IOKeywords:AI talent war, Meta, OpenAI, Federal judges ruling, California federal judges, Copyrighted books, Anthropic, Meta's legal win, Sarah Silverman, US Supreme Court, Intellectual property rights, New York Times vs OpenAI, Disney lawsuit, Universal lawsuit, Midjourney, State AI regulation, Federal funding, US Senate, Ten-year ban, Five-year ban, AI infrastructure, Federal AI funds, Sam Altman, IO hardware startup, Trademark battle, Hardware device, Eleven Labs, 11 AI, Voice assistant, Voice command execution, MCP, Salesforce, Marc Benioff, AI workload, AI agents, Anthropic Claude update, Artifacts feature, Artifact embedding, Salesforce customer service, Command line interface, Gemini CLI, Gemini 2.5 pro, Coding tools, Desktop coding agent, Meta poaching, Superintelligence lab, AI researchers, Meta's aggressive recruitment, Llama four, Llama 4.5, Microsoft, Anthropic, Google Gemini scheduled tasks, GoogleSend 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

Dime qué piensas del episodio.Víctor Almeida, presidente y director general de Interceramic, una de las empresas más icónicas de México con presencia internacional en más de 20 países. Víctor asumió la presidencia de la empresa a los 23 años, en plena crisis de 1982, y desde entonces ha liderado la compañía a través de múltiples ciclos de crecimiento, transformación y hasta tres crisis que él mismo llama “quiebras”. Victor ha sido pionero en innovación dentro de una industria tradicional: desde campañas en televisión hasta modelos únicos de franquicia.Hoy Victor y yo hablamos de disciplina militar, del poder del positivismo, de lecciones de Sam Walton, de cómo tener éxito con socios chinos y del rol de los empresarios en la política.Sigue Cracks Podcast en YouTube aquí."Si no tienes convicción, no puedes liderar. Punto."- Victor AlmeidaComparte esta frase en TwitterEste episodio es presentado por Diri Movil la compañía de telefonía que te permite tener 2 líneas en un solo plan y por Salesforce, el CRM de IA número uno en el mundo y su nueva solución, Agentforce.Qué puedes aprender hoyEl error como maestroConvicción como base del liderazgoEl peligro del ego*Este episodio es presentado por Diri Móvil, Este episodio es presentado por DIRI MÓVIL, la primera telefonía en México que te permite tener dos líneas activas al mismo tiempo en un solo plan.Puedes tener una línea para tu negocio y otra personal, o simplemente sumar una más sin cambiar la que ya usas.Esto es posible gracias a su tecnología DUA: una segunda eSIM que opera en una red distinta a la principal.Así puedes usar dos WhatsApps, separar tus mundos, y manejar todo desde un solo teléfono, de forma práctica e intuitiva y tener 24 gigas en tu línea principal y 10 gigas en la secundaria por $339 pesos al mes.Y lo mejor: puedes probarlo gratis por 7 días con una eSIM de prueba en www.diri.mx/cracks. Además, si portas tu número este verano, recibes triple de gigas por un año.*Este episodio es presentado por Salesforce, el CRM de IA número uno en el mundo.Su nueva solución, Agentforce, no es simplemente un asistente digital. Es una suite de agentes autónomos diseñada para trabajar codo a codo con los equipos humanos, combinando datos unificados y capacidades avanzadas de IA para llevar a cabo tareas de forma autónoma o colaborar con los empleados en tiempo real. Salesforce integra todos tus datos en un solo ecosistema de IA. Los agentes de Agentforce pueden analizar y actuar sobre la información de cada cliente de manera segura y confiable, transformando cada rol y flujo de trabajo para alcanzar una escala operativa sin precedentes.Revoluciona tu negocio con Salesforce en cracks.la/agentforce Ve el episodio en Youtube

Segment 1 with Richard Hagberg starts at 0:00.Most start ups fail within 5 years. Many more are the walking dead- why do most founders build their company's to fail and what can they change about it.Rich Hagberg, Ph.D., often referred to as “Silicon Valley's CEO Whisperer,” is a trained psychologist who has spent the last 40 years of his career as an executive management coach for over 6,000 executives. Since 2009 he has worked with companies like Tinder, Twitter, Dropbox, MixPanel, Zendesk, Quora, Asana, Pinterest, Salesforce, Munchery, Reddit, Gusto, Cruise, Tinder, Optimizely, Instacart, Patreon, Nerdwallet, and Super Evil Megacorp (it's a gaming company).His new book is called "Founders, Keepers: Why Founders Are Built to Fail, and What it Takes to Succeed".Segment 2 with Lee Glickstein starts at 22:50.There is the old adage that we fear speaking in front of people more than death- the joke goes that we would rather be dead that speak in front of an audience.Lee Glickstein is a trailblazer in the field of public speaking and the creator of the globally recognized Speaking Circles method and founder of Speaking Circles International. He is an authority on leadership presence and magnetism in public speaking.  Having overcome his own crippling fear of public speaking, Glickstein has spent decades helping others transform their relationship with audiences. His first book is called "Be Heard Now! End Your Fear of Public Speaking Forever".Become a supporter of this podcast: https://www.spreaker.com/podcast/the-small-business-radio-show--3306444/support.

Why you should listenTrevor reveals how Myko solves the age-old problem of sales reps not entering data into Salesforce by using voice technology to eliminate the 53-click process down to 15 secondsLearn how poor CRM data entry is blocking your AI initiatives and downstream analytics, and discover a practical solution that integrates seamlessly with existing workflowsGain insights into the future of voice-first technology in sales and how early adopters are leveraging this to dramatically improve rep ramp time and territory handoffsAs a Salesforce partner, you know the challenge of implementing CRM systems that don't fit into the natural flow of how sales reps actually work. Your clients struggle with data gaps that prevent meaningful reporting, AI initiatives get stalled because there's insufficient data to analyze, and you're constantly looking for solutions that bridge the gap between CRM capabilities and real-world sales activities. I've experienced this firsthand - watching robust Salesforce implementations underperform because the data entry process doesn't align with how field reps actually spend their time.In this episode, I talk with Trevor Lee from Myko who has built a voice-first solution that finally addresses this fundamental workflow challenge. We discuss how his tool transforms the complex 53-click mobile process into a simple 15-second voice interaction that fits naturally into a rep's day, why this breakthrough is critical for AI initiatives, and how partners can leverage this technology to unlock previously impossible downstream projects for their clients.About Trevor Lee Trevor is the Cofounder and CEO of Myko - the language interface for teams to interact with Salesforce. Trevor started his career in finance and met his cofounder and Zheng at business school. The two of them worked together on a financial modeling solution Genius Sheets that they eventually sold. Resources and LinksMyko.aiTrevor's LinkedIn profileSchedule a demo Try voice to Salesforce - Myko Test DrivePrevious episode: 618 - Why 86% of Cyberattacks Now Hit SMBs First and How to Protect Them with René-Sylvain BedardCheck out more episodes of the Paul Higgins PodcastSubscribe to our YouTube channel: @PaulHigginsMentoringJoin our newsletterSuggested resources

Today, we are joined by Chris Littlefield.Christopher Littlefield is an International and TEDx Speaker, an Expert in Employee Appreciation, Workplace Culture and the founder of [Beyond Thank You](http://www.beyondthankyou.com/). He has trained thousands of leaders, across six continents, on how to understand what their people want and need to be at their best. His clients include Accenture, Boston Medical, Lebanese Postal Service, MIT Sloan School of Management, Reserve Bank of Australia, Salesforce, the U.S. Army, the United Nations, and more.  His work has been featured in New York, Inc, Mindful, and British Psychologies Magazines, and profiled in Harvard Business Review. Chris is a regular contributor to [Forbes](https://www.forbes.com/sites/christopherlittlefield/?sh=532bbc1e7924) and [Harvard Business Review](https://hbr.org/2019/10/how-to-give-and-receive-compliments-at-work) and the author of the bestselling book, [75+Team Building Activities for Remote Teams.]In this episode, we explore how silence in the workplace doesn't mean satisfaction and why many leaders are blindsided when their top performers leave. Chris reveals the subtle signs of disengagement that leaders often miss and provides practical frameworks for conducting "stay conversations" that keep valuable employees engaged long before they consider leaving.Key topics include:Why top performers often don't voice concerns and how this creates leadership blind spotsThe three early warning signs of employee disengagementHow to conduct effective "stay conversations" at key career triggers and milestonesStrategies for shifting from seeing difficult conversations as risks to viewing them as strategic advantagesThe art of giving and receiving compliments in professional settings without discomfortChris's inverted pyramid framework: appreciating, acknowledging, recognizing, rewarding, and awardingHow recognition differs in remote and hybrid work environmentsUsing reflective recognition and positive probing to uncover what employees truly want to be recognized forWhether you're struggling with employee retention, looking to improve team engagement, or wanting to build a more appreciative workplace culture, Chris's insights provide practical tools for transforming everyday interactions into powerful relationship-building moments.Chris Littlefield's Company: https://beyondthankyou.com/ Chris Littlefield's Linkedin: https://www.linkedin.com/in/christopher-littlefield/ -Website and live online programs: http://ims-online.com Blog: https://blog.ims-online.com/ Podcast: https://ims-online.com/podcasts/ LinkedIn: https://www.linkedin.com/in/charlesgood/ Twitter: https://twitter.com/charlesgood99 Chapters:(00:00) Introduction(01:15) Tool: Understanding How Conflict Resolution Led to Recognition Expertise(03:15) Technique: Recognizing the Three Early Warning Signs of Disengagement(06:35) Tip: Conducting Stay Conversations at Key Career Triggers(10:55) Tool: Shifting from Risk Mindset to Strategic Advantage in Difficult Conversations(14:25) Technique: Creating a Workplace Culture Where Appreciation is Openly Embraced(18:00) Tip: Avoiding Recognition Pitfalls Like Butter Them Up and Sandwich Feedback(20:25) Tool: The Inverted Pyramid Framework for Recognition and Appreciation(23:50) Technique: Adapting Recognition Strategies for Remote and Hybrid Teams(26:45) Tip: Using Reflective Recognition and Positive Probing to Uncover Hidden Contributions(27:58) Conclusion#CharlesGood #ChrisLittlefield #TheGoodLeadershipPodcast #WorkplaceRecognition #EmployeeEngagement #StayConversations #WorkplaceAppreciation #EmployeeRetention #RemoteTeamRecognition #ConflictPrevention #LeadershipCommunication #TeamEngagement #WorkplaceCulture #EmployeeFeedback #PositiveWorkplace #RecognitionStrategy #AppreciationCulture #HybridWorkplace #EmployeeExperience #LeadershipDevelopment

In this episode, we're joined by Tina Kung, Co-Founder and CTO of Nue.io, a rising CPQ & Billing platform redefining the quote-to-cash experience for modern SaaS businesses. With a career spanning Ariba, Oracle, Zuora, Salesforce, CA Technologies, and more, Tina brings over two decades of experience building and evolving four generations of CPQ and Billing systems.

Jordi Visser is a macro investor with over 30 years of Wall Street experience. He also writes a Substack called “VisserLabs” and puts out investing YouTube videos. In this conversation we discuss AI acceleration, why stocks, gold, bitcoin are hitting all-time highs, market outlook for second half of the year, how Salesforce is using AI, the government pressure on the fed to lower interest rates, the current financial mindset of the the younger generation, and more. =======================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/=======================Maple Finance is where real money meets real yield. With over $1.5B managed, Maple offers secure lending, Bitcoin yield, and premium DeFi assets like syrupUSDC. Get started today at https://www.maple.finance !=======================Xapo Bank, the world's first fully licensed Bitcoin-enabled bank, offers military-grade security with an unmatched blend of physical and digital security, as well as pioneering regulatory oversight, so your funds are always protected. Beyond secure storage, they enable you to grow and use your Bitcoin. Earn daily interest in Bitcoin, spend with zero FX fees using a global card, and make instant payments via the Lightning Network for unrivalled access and convenience. Visit https://www.xapobank.com/pomp to join.=======================Pomp writes a daily letter to over 265,000+ investors about business, technology, and finance. He breaks down complex topics into easy-to-understand language while sharing opinions on various aspects of each industry. You can subscribe at https://pomp.substack.com/=======================View 10k+ open startup jobs:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://dreamstartupjob.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Enroll in my Crypto Academy: https://www.thecryptoacademy.io/

What are the latest trends in large-scale cyberattacks, and how can individuals help prevent them?Large-scale cyberattacks, especially Distributed Denial of Service (DDoS), are growing in both scale and sophistication. One recent attack hit 7.3 Tbps, unleashing 37.4 TB of junk traffic in 45 seconds. These attacks often harness botnets made up of compromised Internet of Things (IoT) devices—like home routers or cameras—that have default credentials or unpatched software.How to help prevent this:Change default passwords on IoT devicesRegularly update firmwareDisable unused services (e.g., Telnet)Use firewalls and segment your networkHow do smart TVs and other smart devices compromise privacy, and what's being done?Smart devices like TVs and speakers often use Automatic Content Recognition (ACR) to monitor what you're watching and send this data to manufacturers or advertisers—often without clear consent. This data fuels detailed user profiling and cross-device tracking.In response, the UK's Information Commissioner's Office (ICO) now requires manufacturers to ensure transparency, secure data handling, and routine data deletion—or face enforcement. Consumers can protect themselves by disabling ACR (e.g., SyncPlus on Samsung, Live Plus on LG) and reviewing privacy settings.What are the current limitations of LLM-based AI in enterprise settings?A Salesforce-led study found that large language model (LLM) AI agents succeed at only 58% of basic CRM tasks and just 35% of multi-step ones. More concerning, they exhibit poor confidentiality awareness. Prompting helps slightly but often hurts task accuracy. Current benchmarks fail to assess sensitivity to confidential data, raising red flags for enterprise use without rigorous testing.What are the geopolitical implications of AI and cyber operations?AI and cyber tools are shaping geopolitical strategies. The U.S. accuses Chinese AI firm DeepSeek of aiding military intelligence and bypassing export controls. Chinese law further mandates data sharing with its government, raising global privacy concerns. Meanwhile, cyberattacks are weaponized to disrupt infrastructure and spread disinformation—as seen in Iran's state TV hijacking and a $90M crypto exchange hack.How do data brokers threaten personal safety, and what can you do?Data brokers compile and sell personal data—including home addresses—without vetting buyers. This can lead to stalking or worse, as shown in the murder of Rep. Melissa Hortman, allegedly found via a “people search” site.The U.S. lacks federal regulation, but California's "Delete Act" is a step forward. Until broader laws are in place, individuals must manually opt out of data broker sites or hire services to assist in removing their information.How are ransomware groups evolving?Groups like Qilin are getting more professional. Their “Call a Lawyer” service gives affiliates legal guidance to classify stolen data, assess damages, and negotiate ransoms more effectively—maximizing economic pressure on victims. It's a troubling move toward organized, businesslike cybercrime.Why is ACR in smart TVs a privacy issue?ACR continuously scans all video content viewed on your TV—even from HDMI devices—and sends data to third parties. It enables:Tracking without consentData monetization for targeted adsCross-device profilingPotential security risks from unmaintained TV firmwareWhy should you secure IoT devices?Unpatched IoT devices can be infected and used in global botnet attacks. By securing your devices, you're not only protecting yourself but also helping reduce the scale of global cyber threats.

Texas can force users of porn websites to verify their age The law was challenged right up to the Supreme Court as they claimed it violated the free-speech rules of the First Amendment. Their argument was that adult viewers might be worried their private information or viewing history could be exposed, which is a deterrent from accessing the material. The Supreme Court ruled in favour of the law, saying it's working to protect children, and the government has the authority to do that. The Texas Governor, Ken Paxton, calls the widespread access among children to hardcore pornography a public health crisis. Texas is one of 24 states that have passed age verification laws for online porn, forcing Pornhub to close down in the state. Salesforce's CEO claims 30-50% of the internal work is now done by AI That's a staggering statistic from CEO Mark Benioff. Unsure how that's measured, but he says AI is being widely used at the company for software engineering and customer service. He says the tech has allowed the company to hire fewer humans. Microsoft and Alphabet have claimed similar stats saying AI is creating about 30% of the new code on some projects. LISTEN ABOVE See omnystudio.com/listener for privacy information.

According to research from Gartner, more than half of organizations have increased their investment in AI since 2023. So, how can you effectively leverage AI to improve GTM productivity and accelerate business outcomes? Riley Rogers: Hi, and welcome to the Win Win podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Chris Sargent, the director of sales enablement at BambooHR. Thank you so much for joining us, Chris. Before we get started, I’d just love for you to tell us a little bit about yourself, your background, and your role. Chris Sargent: Absolutely. Thank you for having me, Riley. Really excited to be spending some time with you today. So my background, I have been leading sales enablement teams for the better part of the last 10 plus years, and prior to that I was a sales leader and a sales individual contributor. So have spent a lot of time in both roles and really help companies scale. You talked about go-to-market strategies. My background heavily is aligned sales execution, focusing on how buyers can achieve goals and how selling and. Our ability to sell with a process with value can really be one of the greatest competitive advantages that we take to market. And in my current role at Bamboo, I oversee enablement programs globally across all of our different skill sets, all of our different segments. And really our mission here is to equip every seller and leader with the skills to tools and processes they need to win with confidence and consistency. RR: I love it. Confidence and consistency. That’s what everybody’s looking for. Well, we’re so excited to have you here. Especially as you mentioned, you know, you’re a pretty experienced leader and you have extensive experience spanning both the sales and the sales enablement side. And so you’ve probably seen the landscape change a little bit recently with the acceleration of AI innovation. So I’m curious, how have you seen the challenges that go-to-market teams face change as well? CS: Yeah, I think there’s been, you know, change is the, probably the important word there. One of the biggest shifts as it relates to specifically AI is I think the timing of AI aligning with just kind of a general trend in sales, right? That we’ve seen, I think in the early teens to the late 2019, even into 2000, 20, 21, economies were fantastic globally. Every organization had what felt like, in a lot of cases, unlimited budget to acquire tools and technology. And I think in a lot of ways that created probably some unintentional outcomes as it relates to sales. And in some cases it was a lot more of what I would call order taking versus what would potentially be a value driven sales cycle in a lot of cases, by no one’s fault, other than that was the nature of how buyers were buying at the time. So I think you take that. Component of that and then align that with all of those changes. Now with AI, I think one of the biggest shifts that most organizations and sales team members as individual contributors and leaders are dealing with is that AI is happening in real time. And not only is it happening in real time, it’s new for not only the individual contributors, but a lot of it’s new for managers, it’s new for enablement teams, even the buyers who are trying to figure out how do they leverage AI. So I think that challenge that we see is how do you understand and take the pace of AI innovation and your ability to adapt to that. And that means enablement specifically isn’t just about delivering training, but how are you actually building a culture that fosters the idea of ongoing learning experimentation across the board and cross-functional alignment to keep up with the pace of change while not sacrificing. What really the intended outcome of is that confidence and consistency in the rep’s performance because that desired outcome doesn’t change. How you may get there is what’s changing and understanding how to put that as part of your DNA as an enablement organization and handle that pace of innovation is gonna be critical. RR: Yeah, so we’re sort of in a perfect storm, right of change management in across a number of different areas. I think these are challenges that we’re hearing from a lot of our customers and just feeling in the market. I think you’re spot on with all of that, but rather than kind of lingering in our challenges, maybe let’s talk solutions. So in your opinion, what is Enablement’s role in helping GTM teams overcome these challenges and achieving more success amid these changes? CS: Yeah, it’s a very fair question, and I think this is the power of a really strong enablement organization because in that format and in that model, what you’re really asking enablement to do and what enablement should be doing is becoming the bridge between the new technology itself and the practical application at the rep level. So our role is to really translate what I would say innovation into that action. Our job is to make sure reps just aren’t aware of AI and it’s not just. Kind of a tool that they use on the side, similar to a Salesforce and outreach and a Highspot, for example. But they’re actually using it to be effective in everything that they’re doing in their day-to-day workflow. And I think about that in three core areas. And that’s how we’re trying to think about it is what are you doing to prepare? What are you doing in real time? And what are you doing post customer interaction that allows you to be better at your job? Because of ai and some of that’s customer facing, some of that’s internal. Really what I it means is we’re embedding AI into every existing process. We wanna build confidence through the training and reinforcement and giving managers the tools to coach around it. And I think that goes back to not losing our North Star of if the intended outcome is customers have the best buying experience and the reps are confident and have the ability to execute. That doesn’t change, but the modality to do it, we can make them better at their jobs, we can make them more efficient. We can create competitive advantages because of that. And it’s kind of rethinking not necessarily the intended outcome as much as thinking the journey that gets us there. RR: Yeah. I’ve heard it put as kind of like the job doesn’t change, but the way you do the work does. CS: Exactly. RR: We’re all still driving towards that North Star. We just have a little bit more tools in our toolkit to get there. CS: Yeah, totally agree. And I think that’s what every. Enablement organization. Every sales organization on the planet is trying to solve it right now, which is what does that look like? And going back to the challenge, I think the challenge in that is there’s desired state and then there’s what can actually be executed today, all while knowing what seems like every day, every week, every month there’s some new AI application that’s being launched. And how do you kind of take all of that noise and put it into a journey that aligns with not only your AEs and your reps and your managers, but really how do your customers wanna buy from you? RR: Yeah, and to your point, I think people are like clamoring for use cases. They’re trying to figure out how do we apply this? We have a vision, but how do we bring it to life? And so I know you guys have started putting in kind of the work to answer those questions and have started using some AI capabilities in Highspot to improve rep productivity and kind of streamline some of those workflows. So can you talk to me a little bit about how you’re using AI to elevate your enablement efforts and how that fits into your GTM productivity strategies? CS: Yeah. You know, I think there’s a few things and the beauty in that is, you know, we are fortunate enough to have an AI team that was hired about four years ago that’s led by a fantastic gentleman by the name of Alan Whitaker. And part of what we’re looking at is really aligning kind of the build or buy model a little bit. But some of the ways we’re leveraging this today is, you know, I think those core focus areas of how are we helping the rep be more efficient? And then how are we helping the rep. In real time, create a better buying experience and really help customers see the value of what it is that we do. We all know that we’re using AI, but also buyers are using AI and they have more access to information recommendations than ever, ever before. So there’s a few ways that we’re kind of leveraging AI in a current state, but also kind of hoping we get to from a desired state perspective. And we kind of look at that in a very pragmatic and phased approach way while also. Putting urgency and moving quickly. You know, I think about one of the most important things is we sell a platform and we sell, over the years have increased our ability and our product capabilities that go to market. And I think one of the things that’s really critical is in a lot of situations that’s being launched in real time on the back of other releases, and it’s really about guiding our sales team members to the right content at the right time, but also having that served up to them at the right time. We don’t have a lot of technical resources here. It requires in a lot of situations where we have a lot of high velocity opportunities at Bamboo hr. So it, it’s not even about coming back with information even a day or two later, because that could be too late. So one of the ways we’re leveraging this is serving up information at the right time based off of the rep’s ability to have a conversation in real time. It reduces time spent searching for content, for answers. It’s feeding that up proactively and it’s really increasing confidence in what our sellers need in the moment versus even, like I said, taking 30 minutes or an hour and coming back to that. One of the most powerful ways we’re also using AI is really how to engage. Data to better understand what’s resonating with our buyers and using those insights to fine tune our messaging and also which messaging we use. You know, one of the ways we’re currently leveraging Highspot, and it’s been extremely powerful for us, is understanding the content that makes the most sense, right? I think that the standard back and forth between most organizations and specifically marketing and sales is, hey, we’re creating content for you. Why aren’t you using it? And I think what. AI has allowed us to do is for reps to find information on content that’s been the most relevant at the right time. Highspot serves that up in a way that allows us not only to look at that in real time, but it’s recommending that also based off of what Highspot seeing on the backend from an analytics perspective being tied to the most revenue producing opportunities. That’s been a huge win for us in really increasing our rep’s ability to be faster, but also more accurate. Sometimes I think we just worry about being fast. It doesn’t help if unless we’re accurate. This has kind of allowed us to go down that model on both sides. RR: Yeah, it is hard to strike that balance when you know 30 minutes is too late, but. How are you gonna put together something strategic in such a short period of time? And I know one of the things that your team’s also kind of been leaning into a little bit is you mentioned on LinkedIn actually that continuous improvement is a big priority for you, and one of the ways that you’re using AI is with skill feedback to kind of support that ongoing learning loop. So how are you using that and how is that helping you, as you said, lean into continuous improvement? CS: Yeah, great question. I think one of the key things for us that’s been really, really indicative is about a year ago we kind of looked at our call analytics and call intelligence tools and wanted to see potentially if there was an opportunity for us to get a little bit more. Proactive in the way we were leveraging that to get insights, identify opportunities, and replicate things that were going well. And about six to seven months ago, even prior to me joining the organization, holistically looked and transitioned to what I would call an even more powerful AI enhanced call analytics to really not only capture real conversations. Allow it. The ability to provide things like real-time contextual feedback and use things like prompts to better understand why things were going well, but more importantly maybe where things weren’t going well. And what was really powerful in that is that was such a manual process for us before. And not only was it manual. It wasn’t necessarily consistent manager to manager, right? Some managers were better at it. Some managers had more time to invest just depending on the, the size of their teams and the amount of workload that they were working on. So instead of really waiting for a scheduled reviewer’s, shadow session, reps and managers could get real time guided insights and feedback so that when it came time for the actual coaching, it was very prescriptive. It was really, really, really powerful and it felt more individualized versus, Hey, we’re gonna have an enablement team come in and do a skill development session on, you know, executing a mutual action plan or getting access to key players. We could actually take that now to the individual level and focus on a skill development that made coaching more specific, more intentional, more timely, and ultimately more impactful for that skill development. Now, there is one thing that we are looking at as well, and we haven’t deployed this yet, but I’m assuming I’m not alone in this. Which is really, we have a pretty large sales organization all at different parts of their career. Also different managers at different parts of their career. And one of the things we wanted to do to, to drive more time for the managers to actually coach and spend time doing all the things they’re supposed to do, is we’re actually in the process of evaluating some AI role playing tools that use avatars. I know. That is not unique to us in any way, shape, or form, but when we think kind of along, like what’s happening now and what’s happening over the next two to three months, we’ll be deploying those to really also help the reps have a, a safe place and a consistent place to practice those skills. RR: Yeah. That’s so awesome to hear. I think, you know, sales coaching is one of those things that PLA teams everywhere, and so hearing that you can find these solutions that make you not only excited but certain in your programs is wonderful. And it really does sound like you’ve put together some very intentional programs to help your team succeed. And I think the data’s kind of showing that it’s working. We’ve seen that you’ve driven really strong engagement from your GTM teams, such as a 96% recurring usage rate of Highspot. So curious, you know, we’ve talked about the strategy. How are you then driving that adoption? Do you have any best practices you could share? CS: I think enablement teams each and every day and organizations are always trying to, you know, go through the process of how do I make the information or the programs or the projects or content that we’re taking to market actually be adopted and be used. And you know, I think one of the things that always has resonated with me, and I think about this phrase often, there’s a great enablement leader by the name of Roderick Jefferson, and many years ago, he gave a piece of feedback about the difference between training and enablement. And I’m paraphrasing this, so if anyone who knows this quote better than me, feel free to correct me. I believe he said, you train animals, you enable humans. And I think one of the things that always resonated with me about that then is if I want to enable someone, I need to get the lens of how they’re executing. And for us, that adoption, that 96% recurred usage in Highspot really started with making Highspot not only the single source of truth, but also putting it in a place where the sellers already live and breathe today from day one. It was critical for us that not only does every new hire here at Bamboo get trained to rely on Highspot for almost everything and have it not only live within that world, but for things like messaging, playbooks, objection handling, product updates, everything goes through there. But I also think it was more than that. One of the values that we’ve seen in Highspot is really our ability to have that proactive information fed at the opportunity level in our CRM tool. It allows the reps to get just in time information when they need it, but also when it’s most critical. Not only do we have the ability then to kind of. Indoctrinate them, so to speak, as a new rep. They’re also getting fed in real time, something that’s actually beneficial to them, and it’s proving its use case time and time again in real time, which has been a huge adoption ability for us. I think another thing. That has been super beneficial is going back to that adoption piece. We also cross collaborated and cross-functionally with other organizations like product marketing and product that absolutely see the benefit of that’s how their content gets used. So at the end of the day, the proof in the pudding and starting with that why and making it that single source of truth. We put it exactly where the reps live every single day embedded in our CRM. But when reps saw the tool and the action that it brought in saving time and helping them win that adoption started to follow naturally. And we continue. Every single week we have a reinforcement on content being placed out of there. It was a new muscle, and like any new muscle, we had to train that muscle. The good news is, is once we train it, we go to maintenance mode. And it’s been a much, much, much, much, much smoother process than when I’ve done this at other, other organizations where we were either under-resourced or underfunded, and we were really kind of rolling things out at a project level versus a programmatic level. RR: Gotcha. So it’s sort of that you can take a rep to enablement, but you can’t make them drink. You need to prove the value, and you need to be building for them. I think that makes a lot of sense. Thinking a little bit about doing the work, driving the adoption, how do you then measure success? What are the key metrics you track and then now moving into kind of trying to operationalize AI, how are you measuring that as well? CS: Yeah, very fair question. And I think this is also another thing, you know, this is my experience, been in groups with some really great enablement leaders across the board, and I feel like over the last several years, especially as that kind of transition to more. That value-based selling has become always important, but it’s become critical over the last several years with the introduction of ai, the different economic conditions and things of that nature. Every sales leader I talk to is really trying to measure the impact that their teams are having on the business and we look at it at a few ways here. I think we look at it from what we call some of our leading and lagging indicators. Specifically, we wanna see some of the early adoption and controls that we have there. So from a leading indicator perspective. We’re looking very closely right outta the gate. Whenever we launch a new program around things like certification rates, the usage data, early stage conversions, rates, some of that content engagement score, and then what we look at is the direct connection to the outcomes that happen, like stage progression, conversion rates, quota attainment, and sales cycle velocity. In my four months here, that’s where we’re really starting to drive and we’re starting to see a little bit more of those lagging indicators. As a business, we kind of have a core metric to maintain and also improve those conversion rates. So that was kind of the North Star, what we looked at from working our way backwards where, okay, what gets us to those things? And that’s where we looked at specific skills programs that we are running and we’re our rep certifying, were our managers certifying? Were they using the content that we created and did we see a correlation between those things and the performance? And we absolutely have, which has been really great for us to correlate a lot of that. To your second part of that question, as it relates to AI, I think we’re kind of looking at it from a few different ways. We are by no means the experts of AI measurement, but we, we have put some things in place that we’re looking at trying to get better constantly, which first and foremost is. Are we giving the reps more time to do more sales focused activities? So it, it’s one thing of it to create some time savings, but it’s also another thing to say within that time, did we help you be more intentional? Did we help you be more accurate? Did you use the right content or the right information? Or were you fed that in a way that helped you create a differentiating experience or a consistent experience in that engagement with a prospect or existing customer? When we can do that for at the rep level, we then want to drive AI driven insights on the backend to really look at how that impact coaching can take place at the conversational and the deal outcomes level. That’s the correlation. We’re kind of looking on that backend. Our ideal state would be able to also look at. How do we either add more propensity and volume to what our existing AEs are doing? Time savings is great, but what are you doing with that time on the backend, right? Is it, Hey, more time to go, you know, play ping pong down in the break room, which is always a great thing. I’m not saying that’s a bad thing by any stretch of the imagination. But it does allow it to be more intentional. It does allow us to be more powerful in the capacity of each of our reps. I always have heard a great quote from John Barrows, who I’m sure many people know. And one of the things I’ve heard him say specifically about ai, and I think about this as we measure AI, is really good sellers and really go to organizations that help their sellers. AI will augment what they do. Anyone stuck kind of in the old way of selling it will replace you in what you do. And I think that’s how we look at, how are we leveraging and augmenting that AI to look at the time savings, but long-term, how do we make it so they’re more intentional, more accurate, and produce some of those more outcomes at the individual level? And then how does that really embrace the impact coaching conversations on the backend? RR: Yeah, I think the lucky part of being kind of mired in all of this change is that we’re building our metrics as we’re figuring out what we can reasonably do. And so when you have that philosophy that you led with of Know Your North Star, ask the questions that will help you understand what actually drives there, and fill out those leading and lagging indicators as you’re doing the work. That’s gonna be a helpful philosophy, and that’s gonna get you through to figuring out those metrics. I’m curious too, as you’ve been looking at these indicators for AI and also just for your broader enablement programs, have you seen any particular business results with Highspot or any wins that you’d like to share? Things that you’re really proud of? CS: Yeah, I think there’s a few things, and I kind of break these down by kind of what I’d call some of those leading and lagging and I think, you know, some of them directly correlate to, to business outcomes. I think a few things that have really driven up is how our reps and how our team members are meeting customers where they’re at. But then I would also say on the backend, how has training and coaching improved because of that? And I think that’s a huge, huge, huge win for us. When I kind of look at over the last, you know, four to six months, some of the numbers that pop out I, I kind of. Share with you that I think are relevant? I think one of the really cool things that we have seen is we’ve seen a 91% engagement with our buyers, especially with external shares that’s gone up massively. I think we tracked something like we’ve had nearly 30,000 views during this window and period of. External content that customers were viewing, but also what they were sharing internally with other parts of their organization. We had no clue what was going on with content when we shared it before. And why does that actually matter? Because we started to correlate some of the in increase in in buyer engagement, the increase in some of the sales play views, which actually went up over 260% for us, up to 31%. That was so powerful, and I kind of think about that at the just in time level. One of the other things that that really resonated with us is the findability ratio, and from a content management perspective, historically prior to our engagement with Highspot and leveraging the AI, everything that was recorded with that. One of the major complaints that Bamboo got from a lot of our reps were, oh man, it’s really hard to find things when I need them. That just in time moment sometimes passes, as I mentioned earlier, and even if it takes me 30 minutes to an hour to send a follow up, sometimes I don’t have that. And we look at that findability ratio that we have of a seven. We saw our click-through rates go up dramatically. I think they went up 32% and the amount of items we had viewed as reps were going through the process of engaging a prospect in real time went up 14%. Why does all of that matter? Because I think as we looked at, okay, we’re giving you the right. Content and clearly it’s helping it create engagement with our prospects and customers. Does that, what does that engagement lead to on the backend? And one of the biggest things we found across certification and consistency across that was when you kinda look at some of the certifications we launched with AI across the board, and I’m focusing just in a Q1 of this year, we had two really big certifications. That were across the entire revenue organization, one of them being a skills related focus, and one of them being a specific platform product related focus. We certified 300 users in one, over 300 users in another one, and with the manual time that that would’ve had taken prior, we were able to save almost 220 hours from an enablement. Side with the AI, with only these two certifications. So scalability became a really, really important thing from an operational side for our enablement team and our managers who are typically having to do this at a very, very manual level. So why does all of that matter as a business? What we’ve correlated is our reps that are leveraging this in executing this are performing at about a 25 to 30% improvement level across their peers that maybe haven’t adopted this yet. So some really nice leading and lagging indicators of the power of AI and the power of what these tools can bring to the table. Are we perfect at it? By no stretch of the imagination, we still have some laggards that we’re trying to bring up, but we have seen some of those economies of scale grow with the reps that really have embraced this, and even some of the others that kind of, some laggards initially still have some of those, but the proof has been in the pudding there for us and, and it’s been a fantastic investment. RR: Those are I to begin. Incredible wins, great numbers. 30,000 views is incredible. I love the way you kind of told that story of how your wins compound. You know, you start with content, you make things accessible, all of a sudden your reps can use it, and now buyer engagement improves and then it just continues to grow and you have this feedback loop of continuous improvement To your point earlier. Many compliments. I know, as you said, you’re always moving, you’re always improving, you’re always growing. So in that spirit of continuous improvement, curious if you could talk to me a little bit about maybe what’s in the future, what is that potential long-term value of embracing AI for Bamboo, and how are you gonna continue doing so down the line? CS: Yeah, so I, I think for us, the intentionality there is really around scalability. It comes down to that one thing, the long-term value for us is scalability. That’s a little bit general in a response, but let me kind of give some context to that as to why scalability is important, right? AI is so fantastic. It allows our enablement team to support more reps, do it more personally without having to necessarily grow linear head count. And I think that’s a challenge. We’ve been, you know, our executive team, very forward thinking, thinks very much about those things and is very intentional about how we’re leveraging that to not only scale what we do, but do so in a very intentional and respectful and responsible way. Really when we think about what’s happening, so when I talk about scalability as well, it also is looking at it at the rep level and giving our reps access to the personalization at an individual contributor level for career development and coaching and guidance, but doing it at scale so we can consistently up level the team with really. Without burning out our frontline managers, our enablement resources, because the two most precious commodities that we view here at BambooHR are clearly our customers, but also our people. Those two resources are so vital and so important, so when we think about our. AI strategy and, and an enablement. It’s how do we create scalability with some of the unknowns that frankly exist today. Our organization has moved very quickly. We’ve kind of gone through a renaissance of our own, and there’s been a lot of changes, even just at the operational level here. Part of the way we look and are very intentional for scalability with AI is. What does AI allow us? Not only do today, but what’s coming down the road that allows us to invest in changes that we don’t even know about yet? And how do we continue to do that to scale human application across the AI intentional application? And that’s kind of how we’re looking at that. RR: I love that. I think it’s, you know, a great philosophy and I think it’s something that a lot of people are kind of gonna be embracing in the coming days. Just one last question for you. Speaking of that, you know, philosophies that other people can lean on to close, if you could give us one, maybe two pieces of advice for other enablement leaders who are looking to improve sales productivity with AI, what would that be? CS: Yeah, this is a, I feel like a golden ticket question that I think everyone’s trying to solve for. I think for me is, I think everyone has an AI initiative that I speak with. I, I, I doubt there’s any organization that isn’t looking at how to do that. But what I would say is don’t treat it as necessarily a separate initiative. I, I think about how do you embed it to an earlier comment to kind of bookend the, the conversation a little bit is it’s not necessarily, and, and to your point about. Changing the intended outcome as much as how you do it. So embedding it into your sales process, embedding it into your organizational processes. One of the things that was really helpful for us is we kind of took the visual representation of what an enablement team member does, but also if our customer, our internal resources like our sellers. What does the journey look like for them as they start their day, they start their interactions, they prepare, they engage. And then kind of that post-call, post interaction, what does that look like? And what we said is let’s map that out. And then we started small with one or two use cases that were kind of low hanging fruit that directly supported the productivity like. Surfacing the right content during calls or providing real call time feedback. And then what we really wanted to do is we really wanted to listen and we wanted to map out what did we think we could do now? What did we want the like ideal state to look like? And then we sat down and we asked our reps and we said. How are you performing along this? We have data that shows us how we think you’re performing, but what’s working, but more importantly, what’s not working and how do we make those shifts so that we can make sure that we’re actually making a difference? And I think the big key for us was it, we didn’t think about it and we kind of took a step back almost as like a tool roll out. And what we really wanted to make this about was changing behavior. It wasn’t necessarily about, oh, here’s this new AI tool. Go use it. Like we may have rolled out. CRM training. In the past it was what is the behavior change that is associated with this? And really that’s the best thing that we could do is make AI feel intuitive, make it indispensable, make it, build it into how your reps are working so that it becomes. Just like, almost like breathing. You don’t think about it, but you definitely feel it if it’s not there. And that’s kind of one of the things I always talk about is how do you embed AI, align it with that AI journey and how they’re engaging with the customer in a day in the life. And as you embed it in there, it becomes part of what they do and then they start to feel it when it’s not there. But that would be, that would be my biggest piece of feedback for anyone that’s looking at it, is don’t treat it as a separate initiative, embed it into everything that you do. Map it against how you expect your internal teams to work and you start to find the adoption follows. RR: Awesome. Well, this has been so wonderful, Chris, so insightful, and I think this is kind of the insights that people are really looking for. Thank you for listening to this episode of the Win Win podcast. Be sure to tune in next time for more insights on how you can maximize enablement success with Highspot.

LLMs are reshaping the future of data and AI—and ignoring them might just be career malpractice. Yoni Michael and Kostas Pardalis unpack what's breaking, what's emerging, and why inference is becoming the new heartbeat of the data pipeline.// BioKostas PardalisKostas is an engineer-turned-entrepreneur with a passion for building products and companies in the data space. He's currently the co-founder of Typedef. Before that, he worked closely with the creators of Trino at Starburst Data on some exciting projects. Earlier in his career, he was part of the leadership team at Rudderstack, helping the company grow from zero to a successful Series B in under two years. He also founded Blendo in 2014, one of the first cloud-based ELT solutions.Yoni MichaelYoni is the Co-Founder of typedef, a serverless data platform purpose-built to help teams process unstructured text and run LLM inference pipelines at scale. With a deep background in data infrastructure, Yoni has spent over a decade building systems at the intersection of data and AI — including leading infrastructure at Tecton and engineering teams at Salesforce.Yoni is passionate about rethinking how teams extract insight from massive troves of text, transcripts, and documents — and believes the future of analytics depends on bridging traditional data pipelines with modern AI workflows. At Typedef, he's working to make that future accessible to every team, without the complexity of managing infrastructure.// Related LinksWebsite: https://www.typedef.aihttps://techontherocks.showhttps://www.cpard.xyz~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Kostas on LinkedIn: /kostaspardalis/Connect with Yoni on LinkedIn: /yonimichael/Timestamps:[00:00] Breaking Tools, Evolving Data Workloads[06:35] Building Truly Great Data Teams[10:49] Making Data Platforms Actually Useful[18:54] Scaling AI with Native Integration[24:04] Empowering Employees to Build Agents[28:17] Rise of the AI Sherpa[36:09] Real AI Infrastructure Pain Points[38:05] Fixing Gaps Between Data, AI[46:04] Smarter Decisions Through Better Data[50:18] LLMs as Human-Machine Interfaces[53:40] Why Summarization Still Falls Short[01:01:15] Smarter Chunking, Fixing Text Issues[01:09:08] Evaluating AI with Canary Pipelines[01:11:46] Finding Use Cases That Matter[01:17:38] Cutting Costs, Keeping AI Quality[01:25:15] Aligning MLOps to Business Outcomes[01:29:44] Communities Thrive on Cross-Pollination[01:34:56] Evaluation Tools Quietly Consolidating

Of het nu komt door het geslijm van Mark Rutte of het logeerpartijtje bij het koningspaar, Trump is uitgerust en relaxt teruggekeerd naar de Verenigde Staten. Zo rustig dat hij ineens mild is met zijn eigen tarievenoorlog. Die deadline voor het bereiken van een deal? Die is ineens niet meer zo heilig.Vandaag werd er een voorlopige deal gesloten met China, maar er moeten nog tientallen deals worden gesloten. De deadline lag op 9 juli, maar nu blijkt de Amerikaanse regering ineens flexibel met die gevreesde deadline. Wat betekent dat voor al die landen die nog wachten op een akkoord? We bespreken het deze aflevering. Je hoort waarom Bob Homan vreest voor volatiliteit op de beurzen. Wat we ook bespreken is Nike. Dat ziet de verkopen instorten. Geen zorgen, want vanaf nu wordt het beter. Dat belooft de nieuwe topman van Nike, Elliott Hill. En beleggers geloven hem, want de beurskoers stijgt enorm. Enorm blij is de baas van softwarebedrijf Salesforce. Hij vertelt dat kunstmatige intelligentie '30 tot 50 procent' van het werk doet. Een schouderklopje geeft 'ie aan zichzelf en kroont zich even tot Taylor Swift van de techwereld. Over tech gesproken: Apple gaat zijn lucratieve App Store op de schop gooien. Allemaal om Brussel tevreden te houden (en een boete van een half miljard te ontlopen). Het is wel een aanpassing die ze uiteindelijk veel meer kan kosten... See omnystudio.com/listener for privacy information.

OpenAI und Microsoft ringen um die AGI-Klausel. Meta lockt Ex-OpenAI-Forscher mit Mega-Boni. Harvey sammelt 300 Mio. für KI-Juristen. Chinas KI-Offensive stockt wegen Chip-Embargos. DeepMind sagt Genfunktionen voraus. Scale-AI-Daten lagen offen im Netz. ChatGPT und Perplexity erobern WhatsApp. USA gefährden den DMA für Autozölle. Tesla verliert in Europa Marktanteile. Google Offerwall soll Publisher trösten. RFK Jr. streicht Impfgelder. ICE scannt Gesichter per App. Salesforce meldet 30 % KI-Produktivität. Trump-Phone stammt doch aus China. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) OpenAI ↔ Microsoft – AGI-Klausel (00:04:00) Meta heuert Ex-OpenAI/DeepMind-Forscher an (00:11:50) Harvey – 300 Mio.$-Runde für Legal-AI (00:21:20) China-KI-Offensive & Chip-Embargo (00:25:00) DeepMind AlphaGenome – Gen-Funktions-Prediction (00:27:25) Scale-AI-Leak: offenliegende Kundendaten (00:32:00) ChatGPT & Perplexity erobern WhatsApp (00:36:40) DMA in Gefahr – EU/USA-Autodea (00:39:50) Tesla-Absatzrückgang in Europa (00:42:00) Reddit „Human Verification“ (00:44:00) Google Offerwall gegen KI-Traffic-Verlust (00:45:30) Schmuddelecke Shownotes Keynote Deck - Coatue OpenAI, Microsoft Konflikt: Intelligenz von KI entscheidend – wsj.com Meta engagiert OpenAI-Forscher für KI-Modelle – techcrunch.com Meta gewinnt den Talentwettstreit mit OpenAI – theverge.com Harvey erhält $300 Millionen bei $5 Milliarden Bewertung für juristische KI – fortune.com China kurz vor über 100 DeepSeeks, sagt Ex-Spitzenbeamter – bloomberg.com DeepSeeks Fortschritt durch US-Exportkontrollen gebremst – theinformation.com Google Gen Tool – technologyreview.com Scale AI: Sensible Kundendaten in öffentlichen Google-Dokumenten offengelegt – africa.businessinsider.com Einer der besten Hacker des Landes ist ein KI-Bot – bloomberg.com Meta fügt KI-gestützte Zusammenfassungen zu WhatsApp hinzu – techcrunch.com Meta im KI-Wettbewerb: WhatsApp als Chatbot-Schlachtfeld – Business Insider Meta plant Übernahme von AI-Startup PlayAI – bloomberg.com Aussetzung des DMA? - Sorge vor EU-USA Kuhhandel – share.google Teslas europäische Verkaufszahlen sinken fünften Monat in Folge – on.ft.com Reddit verspricht menschlich zu bleiben – on.ft.com Krypto-Besitz könnte Hypotheken erleichtern – businessinsider.com Da KI den Suchverkehr reduziert, startet Google Offerwall zur Umsatzsteigerung – techcrunch.com Robert Kennedy stoppt US-Finanzierung für globale Impfstoffallianz – ft.com ICE App – 404media.co Salesforce-CEO: 30 % der internen Arbeit durch KI – bloomberg.com Trump Mobile: Neue Telefone 'made in America' – eu.usatoday.com

Mia Jordan, Global Go-To-Market Executive at Salesforce and former USDA Chief Information Officer, and Josh Millsapps, CEO of Millsapps, Ballinger & Associates join the show to explore the importance of platform strategies over one-off projects to ultimately drive strategic value for government agencies. Together, we unpack what is driving the rising appetite for change across federal agencies and how to strike the balance between pragmatism and bold innovation. Finally, they offer tactical advice for government leaders navigating leadership turnover, workforce challenges, and policy shifts — emphasizing why it's time for agencies to “run with scissors” and move fast, even amid ambiguity.

This week Michael S. Malone and Scott Budman discuss the recent Salesforce Ai customer service report and other market updates.

We're joined by James Currier who explains how ‘network effects' shape our economies, tech, civilisation and how to master that to our advantage. James is a five-time Founder, an angel investor in DoorDash, Lyft, and Patreon, and a Founding Partner at NFX. Before becoming an investor, James was the co-founder and CEO of Tickle, one of the internet's first successful user-generated companies. From Metcalfe's Law to the rise of AI-powered startups, we explore how the invisible laws of networks explain why some companies scale exponentially while others fade out and why understanding these forces is key to building anything lasting in the 21st century. James has backed some of Silicon Valley's most iconic startups and coined frameworks that are now industry standards. From early internet marketplaces to AI agents and Web3 protocols, his insights map out how startups win by designing for virality, defensibility, and system-level scale. We dive into: • The 17 types of network effects; from marketplaces to expertise networks, and how to build them into your product. • The collapse of traditional moats in the digital age and what defensibility means in the era of AI. • Why companies like OpenAI and Salesforce are embedding themselves into users' lives to build lasting leverage. • The rise of “3-person unicorns” and how AI is accelerating startup formation and shrinking team sizes. • How founders can think about viral growth in a world where old playbooks (like Craigslist hacks) no longer work. • Lessons from failure: why even with network effects, execution is everything. • What AI bubbles mean for value creation and why James loves them. • How to survive and thrive in a noisy world: hitting it hard, identifying “technology windows,” and creating high-leverage product experiences. Key Takeaways from the Episode: 1. Network Effects Are the New Physics of Business: James breaks down why 70%+ of value in tech comes from companies that embed network effects and why founders need to build products that get stronger with every new user. 2. 17 Distinct Types of Network Effects: From classic telephone lines to software platforms and even Toyota's repair ecosystem, we explore the taxonomy of modern network effects, including marketplace, platform, expertise, and embedding effects. 3. Defensibility in the AI Era: With generative AI becoming a commodity, the real moat is not the model but embedding, data ownership, and network density. OpenAI's memory feature, for example, is a classic embedding play. 4. How Salesforce, Uber, and Facebook Reinforce Their Moats: Learn how these giants layered multiple defensibilities scale, brand, embedding, and networks to dominate their markets. 5. The “Technology Window” Model: Massive companies are born not from marketing innovation but from catching the right tech wave just as we saw with the internet, social media, and now AI. 6. What Most Founders Get Wrong About Virality: It's not about shouting louder, but about building value that spreads organically through “shrew-like” constant motion experimenting, iterating, and finding attention before the channel closes. 7. The Rise of AI-Native Companies: The best startups of the 2020s will be “AI-first,” doing with 3 people what used to take 300 reshaping business models, hiring, and even venture capital itself. 8. Why Founders Must Love the Craft, Not Just the Exit: Great companies are built by people obsessed with the product and the mission not just chasing valuation multiples. Follow our host on Linkedln to know more or subscribe to our emailing list to get new episodes directly into your inbox. Timestamps: (00:00) – Introduction to James Currier and the importance of network effects (02:15) – Metcalfe's Law, Reed's Law, and why networks explain society (04:05) – How 70%+ of tech value comes from network effects (07:50) – The 17 types of network effects (and why expertise matters) (12:20) – How Salesforce embedded defensibility through platform strategy (16:55) – Investing in businesses that build network effects (18:45) – Network effects vs. AI commoditization: what really matters (23:05) – Why defensibility is about product strategy, not hype (27:30) – The coming wave of “3-person unicorns” (31:00) – Will UBI be necessary? James predicts capitalism will adapt (34:00) – How product quality = speed to value (not just shipping fast) (36:30) – The evolution of viral growth tactics in a noisy world (40:45) – The “technology window” thesis: where real leverage comes from (44:20) – Thoughts on crypto, Web3, and reinventing finance (46:10) – What motivates great founders (hint: it's not money) (49:00) – James' advice to young people on STEM, self-awareness, and emotional intelligence

Neste episódio do Agro & Tech, Lucas Ordonha recebe Felipe Spina e Bernardo Madeira, fundadores da Maestro ABM, para um papo sobre como a metodologia Account-Based Marketing pode revolucionar a forma como startups e empresas de tecnologia se comunicam com os diferentes elos do agronegócio. Personalização, planejamento e foco para transformar conexões em negócios reais #agroetech FICHA TÉCNICAApresentação: Lucas OrdonhaProdução: Agro ResenhaConvidado: Felipe Spina e Bernardo MadeiraEdição: Senhor A - https://editorsenhor-a.com.brSee omnystudio.com/listener for privacy information.

Brett Winton and ARK analyst Jozef Soja dive deep into the rapidly evolving world of AI agents—software entities that are increasingly automating enterprise functions like customer support. They explore why AI agents are gaining traction, how they're priced, and the potential for a new kind of agent-versus-agent arms race between companies and consumers. Later in the episode, they're joined by Dr. Alan Bekker, founder of eSelf.ai and former Head of Conversational AI at Snap, who shares his journey from building voice agents for call centers to launching a real-time, face-to-face AI tutoring platform. Alan offers insights into how the rise of large language models (LLM) is reshaping education, what makes a great AI tutor, and why a visual, embodied presence is crucial for learning.Key Points From This Episode:00:00:00 What enterprise AI agents actually do and how companies like Salesforce are pricing them00:03:41 Why $2 per AI conversation may already undercut human support costs00:05:04 The Return On Investment (ROI) model behind agent adoption and enterprise productivity00:06:41 Why agent-based software may retain higher pricing power than other AI tools00:09:11 The coming arms race: AI agents negotiating with other AI agents00:12:30 Scaling demand for customer service with intelligent automation00:15:04 Vertical vs. horizontal Software as a Service (SaaS) in the AI agent ecosystem00:16:43 AI's impact across the software stack—SaaS, Platform as a Service (PaaS) , and Infrastructure as a Service (IaaS)00:17:56 Why building your own AI apps may soon be cheaper than onboarding SaaS00:20:01 ARK's  internal hackathon and how non-engineers are becoming developers00:20:29 Guest: Dr. Alan Bekker joins to discuss the evolution of conversational AI00:22:04 The journey from decision trees to LLMs: Lessons from Snap's AI team00:27:32 Seeing GPT's impact from inside: OpenAI's early partner outreach00:31:47 Why face-to-face AI tutors found strong product-market fit in education00:33:59 eSelf's go-to-market strategy: Partnering with publishers as a business to business to consumer (B2B2C) wedge00:36:24 Pricing real-time AI tutoring tools in a margin-conscious market00:40:00 Business to consumer (B2C) aspirations: Moving toward a direct-to-student tutoring product00:44:56 What's still missing for real-time AI to match human-level teaching00:48:03 The psychological impact of avatars: Building trust through embodied agents00:51:43 Why personalization—not just LLM knowledge—matters in tutoring00:54:20 Democratizing learning: LLMs as the end of expert-driven education

Shannon Gregg is the President of Cloud Adoption Solutions, who helps Life Sciences and Technology companies maximize their Salesforce potential through PhD-backed research in user adoption and change management.Through her expertise in combining people, process, and technology, Shannon guides organizations in regulated industries to unlock sustainable growth while maintaining compliance and driving revenue.Now, Shannon's remarkable journey of completing her PhD, battling stage 3b cancer, and growing her company to a 14-person team demonstrates how determination can fuel success.And while balancing roles as president, professor, and mom, she's even found time to compete on a Mom Jazz dance team and judge international dance competitions, proving that excellence doesn't mean sacrificing joy.Here's where to find more:https://cloudadoption.solutionshttps://shannongregg.comhttps://www.linkedin.com/in/shannonjgregghttps://www.youtube.com/@newtechdemoshttps://www.youtube.com/@shannonj.greggphdmba3314https://thedanceworlds.net/meet-the-judges___________________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here: https://linktr.ee/unforgetyourself

Today on the Salesforce Admins Podcast, we talk to Kurtis Kemple, Senior Director of Developer Relations at Slack. Join us as we chat about what's possible when you combine Slack, Salesforce, and AI agents. You should subscribe for the full episode, but here are a few takeaways from our conversation with Kurtis Kemple. Starting at […] The post What Can Salesforce Admins Do With Slack and Agents? appeared first on Salesforce Admins.

A federal judge sided with Meta, stating that its use of copyrighted books to train AI was fair use, Senators reintroduced a bill forcing app stores to allow third-party payment systems, and artificial intelligence now handles 30% to 50% of the work at Salesforce. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free.Continue reading "Artificial Intelligence Now Handles 30% To 50% Of The Work At Salesforce – DTH"

What if your AI agent could send emails, check your calendar, and even text people on your behalf—all securely and with your permission? In this episode, Aydin and guest co-host Alexandra from Fellow talk with Sam Partee, co-founder of Arcade, about how AI agents are actually becoming useful in the real world.Sam breaks down how Arcade enables LLM-powered agents to act on your behalf across tools like Gmail, Slack, Salesforce, and more, without sacrificing security. He also shows us how he automates his own workflows, from email triage to iMessage replies, and shares how tools like Cursor and Claude are reshaping how engineers work day-to-day.Whether you're technical or not, this episode is packed with actionable insights on what it means to work in an AI-native company—and how to start doing it yourself.Timestamps0:00 – The future of agents impersonating people01:20 – Meet Sam Partee and his background in high-performance computing02:50 – What Arcade is and how it powers AI agents05:10 – Use case: ambient social media agents06:50 – “YOLO mode” vs. human-in-the-loop agent workflows07:30 – Building a lean AI-native company08:00 – Engineers are now 1.5x more productive—with caveats12:00 – Why the whole team (PMs, QA, etc.) should use tools like Cursor14:00 – How Markdown became the LLM-native format17:00 – Sam's iMessage agent and calendar automation18:45 – His AI-powered inbox (email triage + drafting)21:00 – Live demo: using Slack assistant “Archer” built with Arcade24:00 – How non-technical people can use these tools too27:00 – Cursor vs. Copilot: What's better?30:00 – Cursor agent mode and example developer workflows34:00 – Vector databases and prompt design35:00 – Using LLMs to redesign error handling and generate docs38:00 – Advice for teams adopting AI: start by buildingTools and Technologies:Arcade – Let AI agents act on your behalf (email, Slack, calendar, etc.) with secure OAuth.Cursor – LLM-native IDE with full-codebase context. Ideal for AI-assisted development.Claude – Chat interface + agent orchestration, paired with Arcade.LangGraph – Multi-agent orchestration framework with human-in-the-loop support.TailScale – Secure remote networking; enables Sam to access agents from anywhere.Twilio – Used for SMS reminders and notifications.Obsidian + Markdown – Sam uses Markdown + AI for personal notes and research.GitHub Copilot – Used in tandem with Cursor for inline suggestions and PR reviews.Subscribe to the channel for more behind-the-scenes looks at how top teams are rethinking work with AI.Subscribe at thisnewway.com to get the step-by-step playbooks, tools, and workflows.

What does it take to actually ship LLM-powered features, and what breaks when you connect them to real production data? In this episode, we hear from Philip Carter — then a Principal PM at Honeycomb and now a Product Management Director at Salesforce. In early 2023, he helped build one of the first LLM-powered SaaS features to ship to real users. More recently, he and his team built a production-ready MCP server. We cover: • How to evaluate LLM systems using human-aligned judges • The spreadsheet-driven process behind shipping Honeycomb's first LLM feature • The challenges of tool usage, prompt templates, and flaky model behavior • Where MCP shows promise, and where it breaks in the real world If you're working on LLMs in production, this one's for you! LINKS So We Shipped an AI Product: Did it Work? by Philip Carter (https://www.honeycomb.io/blog/we-shipped-ai-product) Vanishing Gradients YouTube Channel (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA) Upcoming Events on Luma (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) Hugo's recent newsletter about upcoming events and more! (https://hugobowne.substack.com/p/ai-as-a-civilizational-technology)

In this episode, we explore the role of AI in reshaping both B2C and B2B commerce. Joined by Neha Sampat, Tracie Pruden, Katie Youmans, Matt Ezyk, and Stephanie Melott, we examine the future of agentic commerce, including the impact of large language models like ChatGPT on traditional search engines and the rise of autonomous shopping. The discussion highlights the power of personalization in digital experiences, leveraging platforms like Salesforce and ContentStack to create hyper-personalized customer experiences.  We also look at the role of AI agents in improving customer service and sales in the B2B sector, alongside insights from Ecolab on data unification and monetization. The episode concludes with success stories of phased implementations in order management systems, emphasizing a gradual approach to achieving outcomes in commerce. Show Highlights: Exploration of agentic commerce and AI's impact on B2C and B2B markets. The decline of Google search traffic and rise of LLMs like ChatGPT. The future of autonomous shopping and the potential for 25% of B2C shopping to be automated by 2030. Salesforce's strategies for creating hyper-personalized digital experiences through composable content and data integration. The role of AI agents in enhancing B2B commerce, improving customer service, and automating sales tasks. Ecolab's focus on data unification and monetization to create seamless customer journeys and enhance experiences. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review,” then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. Supporting Resources: Neha Sampat - LinkedIn: https://www.linkedin.com/in/nehasampat/ | Contentstack: https://www.contentstack.com/  Tracie Pruden - LinkedIn: https://www.linkedin.com/in/tracie-pruden-008b066/ | Advanced Turf: https://www.advancedturf.com/  Katie Youmans - LinkedIn: https://www.linkedin.com/in/katelynyoumans/ | Ecolab: https://www.ecolab.com/  Matt Ezyk - LinkedIn: https://www.linkedin.com/in/mezyk/ | Hanna Andersson: https://www.hannaandersson.com/  Stephanie Melott - LinkedIn: https://www.linkedin.com/in/stephanie-melott-776985138/  CITGO: https://www.citgo.com/operations/products/lubricants  Learn more about Agentforce for Commerce: https://www.salesforce.com/commerce/ai/  Join the Commerce Cloud Community Unofficial Slack: https://sforce.co/commercecrew *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

AI reasoning models were supposed to be the industry's next leap, promising smarter systems able to tackle more complex problems. Now, a string of research is calling that into question. In June, a team of Apple researchers released a white paper titled “The Illusion of Thinking,” which found that once problems get complex enough, reasoning models stop working. Even more concerning, the models aren't “generalizable,” meaning they might be just memorizing patterns instead of coming up with genuinely new solutions. Researchers at Salesforce, Anthropic, and other AI labs have also raised red flags. The constraints on reasoning could have major implications for the AI trade, businesses spending billions on AI, and even the timeline to superhuman intelligence.

Now more than ever, we need more diverse voices in positions of leadership, and preparing and supporting women on their journey to getting a board seat is what we do here at How Women Lead. In this episode, Robin Washington shares with us insights behind her remarkable career, emphasizing the power of self-assurance, strategic networking, and authentic leadership. We discuss discusses the crucial work of increasing Black women's representation in C-suites and boardrooms, offering invaluable advice for anyone seeking to amplify their influence and drive meaningful change. This week's episode 174 of How Women Inspire Podcast is about diverse and inclusive board representation! In this episode of How Women Inspire Podcast, Robin Washington is sharing the importance of diversity of thought and inclusivity in business and actionable steps you can take right now to create space for authenticity through your leadership.Robin Washington is President and COFO at Salesforce, where she leads Business Strategy and Operations, Global Finance, Employee Success, Global Strategic Customers and Partners, Marketing, Communications, and Real Estate and Workplace Services. She is responsible for driving profitable growth and operational excellence—while accelerating the transformation of every company into an Agentforce company, in the new agentic era. Robin also currently serves on the board of directors of Alphabet. Some of the talking points Julie and Robin go over in this episode include:Robin's top ten words of wisdom for women everywhere.The critical importance of increasing Black women's representation in C-suites and boardrooms.Strategies for building powerful connections and finding allies.The importance of creating space for your employees and team members to be their authentic selves.Thank you for listening! If you enjoyed this episode, take a screenshot of the episode to post in your stories and tag me!  And don't forget to follow, rate, and review the podcast and tell me your key takeaways!Learn more about How Women Inspire at https://www.howwomenlead.com/podcast CONNECT WITH ROBIN WASHINGTON:LinkedInBlack Women on BoardsCONNECT WITH JULIE CASTRO ABRAMS:LinkedIn - JulieHow Women LeadHow Women InvestHow Women GiveInstagram - HWLLinkedIn - HWLFacebook - HWL

In this week's update: A massive 7.3Tbps DDoS attack overwhelmed a Cloudflare customer's site with 37.4 terabytes of junk traffic in just 45 seconds, highlighting the growing scale of cyber threats.Smart TVs equipped with Automatic Content Recognition (ACR) technology track viewing habits across devices, raising significant privacy concerns due to extensive data collection.Then the UK's Information Commissioner's Office has issued new guidance to curb excessive data collection by smart devices like TVs, speakers, and air fryers, prioritizing user privacy.A Salesforce study revealed that LLM-based AI agents achieve only 58% success on simple CRM tasks and struggle with confidentiality, exposing gaps in real-world enterprise applications.U.S. officials claim Chinese AI firm DeepSeek is aiding China's military and evading export controls, raising concerns about its global AI model usage.The suspected killer of Minnesota State Rep. Melissa Hortman allegedly used online “people search” sites to find her address, underscoring the dangers of unregulated data brokers.Iran's state TV was hijacked and its largest crypto exchange lost $90 million in cyberattacks, signaling the rising role of cyber operations in geopolitical conflicts.The Qilin ransomware group now offers a “Call a Lawyer” service to its affiliates, providing legal advice to enhance extortion efforts and project professionalism.Drop the telly, we've got a lot to cover this week!For the full transcript to this podcast click here.

Dell Technologies has today announced that it has teamed up with the Crann Centre, a Cork-based charity, to develop an AI-powered solution that enhances care for children, adults and families living with neuro-physical disabilities. This collaboration has resulted in the development of a bespoke AI-powered intake application that reduces the administrative burden on Crann staff, streamlines intake processes, and enhances organisational efficiencies and service delivery. The collaboration began as a local volunteering connection, and it has since evolved into a relationship that harnesses the power of AI to support how care is delivered to families living with neuro-physical disabilities. Dell Technologies' Global Presales team worked closely with Crann to streamline their intake process, reducing processing time by 33%, enhancing data capture, and improving the overall experience for families. The solution has transformed how Crann performs its client intake appointments, improving the consistency and quality of data captured. The final step, currently in progress, will be the full integration of the app with Crann's Salesforce system to ensure a single and reliable data source. With fewer administrative burdens, the Crann team can now devote more time to delivering personalised support, strengthening relationships, and improving care outcomes. This collaboration is a testament to how AI can be used for societal good, increasing Crann's capacity to serve more families without requiring additional resources. Speaking about the collaboration Des O'Sullivan, Vice President, Dell Technologies Customer Solution Centres said "At Dell Technologies, we believe innovation truly matters when it drives meaningful change in people's lives. Through a shared commitment of making a difference, our team at Dell Technologies collaborated with Crann to develop an AI-powered solution keeping in mind Crann's deep-rooted commitment to family-centred wraparound care. "With the AI-powered solution that our team helped to create, Crann has increased capacity, allowing them to serve more families than requiring additional resources. The benefits extend far beyond efficiency; Crann team members now have the time and space to focus on deep, meaningful interactions with clients and their families, strengthening emotional and practical support. "As we look to the future, we're proud of what has been achieved. Our Dell Technologies team in Ireland and our broader Global Presales team has been at the heart of this journey, bringing Dell's AI innovation to life in a way that delivers real and lasting value to our community partners." The Dell-built solution is designed with future scalability in mind, offering a framework that can be adapted across sectors such as education and customer service. Crann, which offers wraparound services focused on improving independence and wellbeing, now has increased capacity to deliver support that spans generations underpinned by a shared commitment to personalised care and innovation.

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

Episode 196 - AgentForce v3 and Smarter Customer Engagement

U.S. Immigration and Customs Enforcement is looking to hire a company to help it mine through data sources including social media, international trade data, blockchain information, property records, and the dark web — the latest example of the agency looking to beef up the tools and platforms it uses in its enforcement operations. In a government procurement posting published late last month, ICE said it was interested in deploying a service that can continuously monitor a million people or entities of interest — and analyze trends for the purpose of “identifying potentially criminal and fraudulent behavior before crime and fraud can materialize,” among other goals. In a request for information for “Data Analytics” shared by ICE's investigations and operations support office in suburban Dallas, the government component outlined a range of requirements that it might seek from a contractor, like staff support, data analytics, and access to proprietary data. As the General Services Administration looks to form direct relationships with IT manufacturers to bring better value to agencies through governmentwide deals under its OneGov strategy, it's going to disrupt a staple of the federal IT acquisition ecosystem: value-added resellers. A significant portion of federal IT contracting traditionally goes through resellers that provide software services on behalf of original equipment manufacturers that often don't have the experience navigating or selling to the federal government. Those resellers, like Carahsoft, CDW-G and Iron Bow, however, specialize in that and provide additional services like integration, customization and support for commercial IT products. Lawrence Hale, assistant commissioner of the Information Technology Category in GSA's Federal Acquisition Service, said Wednesday during a webinar hosted by George Mason University's Baroni Center for Government Contracting that what GSA is trying to do by working directly with the manufacturers is flip that relationship. In going straight to OEMs for IT contracts — as GSA has done now with several vendors like Microsoft, Google, Adobe and Salesforce under its OneGov strategy announced in April — resellers won't be eliminated. Instead, they can still serve as authorized partners or subcontractors to those IT manufacturers, Hale explained, whereas the opposite is often true today. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

With a swirl of acquisition news happening in the industry, Zach Van Doren of Acxiom joins the Real Talk podcast to break it all down with hosts Kyle Hollaway and Dustin Raney. They touch on AI topics from the Salesforce acquisition of Informatica and Meta's bid for Scale AI, to the uncertainty around the direction of legislation and what the next new device could mean for brands and consumers. Thanks for listening! Follow us on Twitter and Instagram or find us on Facebook.

In this CPQ Podcast episode, Frank Sohn speaks with Frits Haas, consultant at Twyn.ai—a no-code, AI-powered platform purpose-built for the telecom industry. Based in South Africa and backed by Jurumani with 450+ employees, Twyn.ai delivers a unified OSS/BSS solution that includes CRM, CPQ, order management, help desk, and more. Frits shares how Twyn.ai empowers Tier 1 to Tier 3 telcos and ISPs across Africa, Europe, and beyond—offering end-to-end quoting, product configuration, and proposal workflows powered by NLP and intelligent automation. He explains how the platform's rule-based configurator and geospatial tools help simplify complex telecom offerings, while real-time APIs enable seamless integration with systems like Salesforce, SAP, and Oracle BI. Beyond tech, Frits emphasizes that "people buy from people"—a lesson rooted in his role as a trusted advisor and his passion for competitive mounted archery on his farm near Johannesburg. Tune in to discover how Twyn.ai is changing the CPQ landscape for telcos—one digital twin at a time. This episode is packed with real-world advice for CPQ professionals, ServiceNow customers, and anyone interested in scaling smarter with AI, governance, and business-led configuration.

Key Highlights:-Why financial CRMs are prime targets for cyberattacks.-The most overlooked vulnerabilities in platforms like Salesforce and Wealthbox.-Field-level vs. org-level security and why both matter.-The role of multi-factor authentication in a cloud-first world.-How AI is evolving both cyber threats and defense strategies.-Simple steps advisors can take now to secure their tech stack.This is a must-listen for any advisor serious about protecting their clients, their practice, and their reputation.Tune in and get ahead of the threats - before they get ahead of you.To learn more about JEDI Database Solutions, visit www.JEDIDatabaseSolutions.com

What is perception bias, and why does it matter, and how does hyper-personalization stop bias?Perception bias is our tendency to interpret people and behaviors based on our own filters—whether that's age, gender, role, or past experience. We don't mean to do it. But we all do. It's fast, automatic, and often subconscious.Here's the catch: Bias doesn't just hurt inclusion—it kills engagement. According to Deloitte's 2025 Human Capital Trends report, 71% of employees expect personalized experiences at work, but only 23% of organizations are delivering them effectively. That gap? It's where bias thrives.When people feel misunderstood or misjudged, they check out. And burnout? It's not always caused by workload. It's often caused by people feeling unseen, unheard, and undervalued. That's perception bias in action.Neuroscience backs this up. The brain's anterior cingulate cortex—the region tied to pain and conflict—lights up when we feel socially excluded, similar to physical pain. Feeling like a number isn't just demotivating—it's neurologically distressing. How hyper-personalization flips the scriptSo what's the reset? It's personal. Literally.Hyper-personalization uses real-time data, AI, and behavioral insights to create tailored experiences that meet employees where they are. Think learning styles, communication preferences, reward motivators, even snack and feedback preferences.When leaders co-create profiles with their teams—knowing what energizes them, how they like to receive feedback, what stresses them out—you close the assumption gap. And when people feel seen, they show up differently.

Today on the Salesforce Admins Podcast, we talk to Michael Rose, Senior Director of SMB Solution Engineering at Salesforce. Join us as we chat about the ever-evolving role of the Salesforce Admin and why now's the time to start exploring what AI can do for your org. You should subscribe for the full episode, but […] The post Why Small Businesses Benefit From Agentforce Right Now appeared first on Salesforce Admins.

Ryan Hawk, former college and pro quarterback, podcast host, keynote speaker, bestselling author, and leadership advisor, joins me on this episode. Ryan speaks for and consults with some of the world's leading brands, including Salesforce, Dodge, and the U.S. Naval Academy.

Bryan Charlton joins the show to break down how great reps spot deal risks early and keep momentum all the way to close. He shares real examples, practical tactics, and the mindset his team uses to win complex deals.

What's the difference between influencers who look successful… and entrepreneurs who actually are? In this riveting episode, Rory sits down with Mike and Kass Lazerow, the powerhouse husband-and-wife duo behind multiple high-impact businesses—including Buddy Media, which they sold to Salesforce for $745 million. They've helped scale companies like Scopely ($5B exit) and Liquid Death, advised countless founders, and now they're opening up like never before about what it really takes to build a business that lasts. From burning out on the way to $50M in ARR in just three years, to rebuilding after failed exits and learning how to balance marriage, money, mission, and meaning—this conversation is a raw, honest, and deeply insightful masterclass in entrepreneurship. You'll learn: Why going viral isn't the same as building enterprise value The “swamp” that traps 7-figure personal brands—and how to escape it How to scale without breaking your marriage or your soul Why building systems beats hiring saviors The cheat code they wish they'd used sooner (and how you can now) Why “shoveling the crap” is the real secret to success Plus, hear their take on personal branding, reputation, and why real impact doesn't always trend on TikTok—but it changes lives. If you're serious about entrepreneurship, leadership, or building something that outlasts you, this is a must-listen.

What if happiness wasn't just a fleeting feeling, but our natural state of being? In this powerful and heart-opening session, Sister Shivani, Brahma Kumaris Spiritual Teacher and host of “Happiness Unlimited,” shares a deeply transformative message from Tony and Sage Robbins' 2024 Date with Destiny stage in Abu Dhabi—a spiritual wake-up call to reclaim your inner power, master your thoughts, and become a radiant force of healing energy in the world. Through her wisdom, you'll discover that happiness is not just a personal pursuit—it's a karmic responsibility—and that we can raise our vibration moment by moment to not only transform ourselves, but to help heal the world. Sister Shivani explores the three pillars of personal power, with a special emphasis on the power to forgive and let go, and reveals how our thoughts, intentions, words, and behaviors ultimately shape our destiny. She breaks down what true karma means—and how to align it with love—while offering a powerful invitation to live happy and leave happy by mastering your inner world. Above all, she reminds us: no one outside of us has the power to disturb our peace—unless we give it away. This talk offers a clear, soulful understanding of how to create happiness from within, no matter what life brings.   Website: https://www.tonyrobbins.com/ Tony Robbins is a #1 New York Times best-selling author, entrepreneur, philanthropist, and the nation's #1 Life and Business Strategist. For more than four and a half decades, more than 100 million people from 195 countries have enjoyed the warmth, humor, and transformational power of his business and personal development events. Mr. Robbins is the author of seven internationally bestselling books, including three #1 New York Times bestsellers: Money: Master the Game, Unshakeable, and Life Force. He created the #1 personal and professional development program of all time, and more than 10 million people have attended his live seminars. Anthony Robbins is the chairman of a holding company comprising more than 110 privately held businesses with combined sales exceeding $7 billion a year. He has been named in the top 50 of Worth Magazine's 100 most powerful people in global finance for three consecutive years, honored by Accenture as one of the "Top 50 Business Intellectuals in the World''; by Harvard Business Press as one of the "Top 200 Business Gurus"; and by American Express as one of the "Top Six Business Leaders in the World" to coach its entrepreneurial clients. Fortune's recent cover article named him the “CEO Whisperer.” He is a leader called upon by leaders, and has worked with four US presidents, top entertainers -- from Aerosmith to Green Day, to Usher and Pitbull, as well as athletes like Serena Williams, Andre Agassi, and the 2022 NBA Champion Golden State Warriors. Billionaire business leaders seek his advice as well; casino magnate Steve Wynn, and Salesforce.com founder Marc Benioff are among those grateful for his coaching. As a philanthropist, through his partnership with Feeding America, Mr. Robbins has provided over 985 million meals in the last 8 years to those in need. He is two years ahead of schedule to provide 1 billion meals. Through the Tony Robbins Foundation, he has also awarded over 2,500 grants and other resources to health and human services organizations, implemented life-changing curricula in 1,700+ correctional facilities and gathered thousands of young leaders from around the world with its teen programs. In addition, he provides fresh water to 250,000 people a day in India in order to fight the number one killer of children in that country-waterborne diseases.