Podcasts about Workday

A.M. Edition for Aug. 28. A federal judge finds the Trump administration violated Anthropic's first amendment rights by deeming it a supply-chain risk. Plus, prosecutors scale up their crackdown on insider trading on prediction markets. And as more young people opt out of even searching for entry-level roles, WSJ reporter Natasha Dangoor details the rising interest in apprenticeships on both sides of the Atlantic. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The Federal Reserve chairman highlights the need to get inflation back down to the central bank's 2% target. Plus: Marvell Technology shares sink more than 10%, underlining the high expectations investors have for companies tied to the AI boom. Pierre Bienaimé hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Live from a Portuguese bar annex, Chad and Joel crack open a cold cider and fire up "HR's Most Dangerous Podcast" to roast the absolute state of modern recruiting. Before tackling the tech industry's worst ideas, the boys review hostage-style movie clips, swap obscure band recommendations, and pitch a Spaceballs 2 sponsorship. The SaaS-pocalypse Comes for Workday: Private equity behemoth Silver Lake is eyeing a $51B buyout of Workday. Google's Resume Garbage Can: Leaked documents show Google DeepMind's AI screening tool is rejecting qualified applicants at random, forcing frustrated hiring managers to set up illegal human-only shortcuts around their own TA department. Gen Z's AI Penalty: Stanford research shows a 19% drop in entry-level hiring for AI-exposed roles. Babysitting the Machine at Walmart: Store associates are now tasked with cleaning up after Walmart's AI. Indeed's Desperate Marketing Pivot: Indeed's CMO claims targeting passive job seekers at soccer matches is a "revolutionary" new strategy. Really? Chapters 00:00 - Intro and Episode Overview 03:45 - Review of the Odyssey and movie expectations 07:43 - Changes in media consumption and radio 09:54 - New music discoveries and bands 11:21 - Music show segment and shout outs 12:26 - TA20 awards and AI professionals recognition 13:25 - Upcoming events and travel plans 20:32 - Private equity buyout talks with Workday 21:50 - Implications of PE acquisition on Workday's culture and support 23:13 - The SAS apocalypse and AI's impact on SaaS companies 24:37 - Market valuation and PE acquisitions of software companies 28:38 - Google resume dumping and AI in HR 29:06 - Challenges of AI in recruitment and hiring processes 31:15 - The puppy analogy and AI's limitations 32:13 - The importance of human skills and adaptability 37:24 - AI's impact on youth employment and highly exposed occupations 40:00 - The need for experienced workers to train AI 41:32 - Future workforce and the importance of human skills 44:34 - Adapting to AI and the importance of continuous learning 46:35 - Walmart's AI implementation and employee trust issues 49:45 - The role of human nuance in AI and workplace tasks 52:57 - The importance of understanding complex tasks in AI deployment 54:29 - Indeed's new marketing strategy and market position 55:33 - Critique of Indeed's marketing and tech evolution 57:29 - Spaceballs 2 and industry humor 58:07 - Google and Indeed traffic decline signals 59:22 - The shift to old school marketing and candidate engagement 01:00:21 - The future of job search and AI-driven applications 01:01:18 - Humor and lighthearted closing remarks

The Shred is a weekly roundup of what's making headlines in the world of employment.

Dan Nathan hosts FirstMark Capital partner David Waltcher at the firm's HQ to discuss Waltcher 's path from an Accel internship to investing in enterprise software, security, and AI. They compare the consumer-to-SaaS shift, the post-2021 “SaaSpocalypse,” and how public markets can overreact to AI narratives, using Salesforce as a system-of-record case study. Waltcher argues many incumbents will prove durable due to switching costs, ecosystems, and trust, while M&A is accelerating amid volatile publics, strong buyers, and fast-growing AI businesses, citing deals like Stripe–OpenRouter and interest in Workday. The conversation turns to Chinese and open models driving token cost deflation and model routing, and to rising security threats, including agent-related incidents, fueling demand. Waltcher highlights FirstMark investments Onyx (agent security), Nebulock (agentic threat hunting), and Tracebit (assume-breach deception), and says innovation risk is highest if recession or a market crash hits, not from AGI timing debates. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media The financial opinions expressed in Risk Reversal content are for information purposes only. The opinions expressed by the hosts and participants are not an attempt to influence specific trading behavior, investments, or strategies. Past performance does not necessarily predict future outcomes. No specific results or profits are assured when relying on Risk Reversal. Before making any investment or trade, evaluate its suitability for your circumstances and consider consulting your own financial or investment advisor. The financial products discussed in Risk Reversal carry a high level of risk and may not be appropriate for many investors. If you have uncertainties, it's advisable to seek professional advice. Remember that trading involves a risk to your capital, so only invest money that you can afford to lose. Derivatives are not suitable for all investors and involve the risk of losing more than the amount originally deposited and any profit you might have made. This communication is not a recommendation or offer to buy, sell or retain any specific investment or service.

On this episode of What Are Your Thoughts, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Downtown Josh Brown⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Michael Batnick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ break down what's driving the global bond selloff, why pressure has shifted from the front end of the yield curve to long-term rates, and what it could mean for investors. Plus: Big Tech's massive off-balance-sheet AI commitments, whether the bottom is finally in for enterprise SaaS after the Workday takeover reports, a market that keeps going all the way up, and a look inside Bill Ackman's evolving Pershing Square empire and his search for permanent capital. This episode is sponsored by Franklin Templeton. Learn more at https://www.franklintempleton.com/advantage Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Compound Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and never miss out! Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://instagram.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/the-compound-media/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@thecompoundnews⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Investing involves the risk of loss. This podcast is for informational purposes only and should not be or regarded as personalized investment advice or relied upon for investment decisions. Michael Batnick and Josh Brown are employees of Ritholtz Wealth Management and may maintain positions in the securities discussed in this video. All opinions expressed by them are solely their own opinion and do not reflect the opinion of Ritholtz Wealth Management. The Compound Media, Incorporated, an affiliate of ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ritholtz Wealth Management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, receives payment from various entities for advertisements in affiliated podcasts, blogs and emails. Inclusion of such advertisements does not constitute or imply endorsement, sponsorship or recommendation thereof, or any affiliation therewith, by the Content Creator or by Ritholtz Wealth Management or any of its employees. For additional advertisement disclaimers see here ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/advertising-disclaimers⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Investments in securities involve the risk of loss. Any mention of a particular security and related performance data is not a recommendation to buy or sell that security. The information provided on this website (including any information that may be accessed through this website) is not directed at any investor or category of investors and is provided solely as general information. Obviously nothing on this channel should be considered as personalized financial advice or a solicitation to buy or sell any securities. See our disclosures here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ritholtzwealth.com/podcast-youtube-disclosures/⁠⁠⁠ Franklin Templeton Disclosure: Before investing, carefully consider a fund's investment objectives, risks, charges and expenses. You can find this and other information in each prospectus, or summary prospectus, if available, at franklintempleton.com. Please read it carefully. All investments involve risk, including possible loss of principal.  © 2026 Franklin Distributors, LLC. Member FINRA/SIPC. Learn more about your ad choices. Visit megaphone.fm/adchoices

In der heutigen Folge sprechen die Finanzjournalisten Nando Sommerfeldt und Holger Zschäpitz über das Aschenbrenner-Paradoxon, die Zeitenwende bei Geely und eine AAA-Idee, die keine Auto-Aktie ist. Außerdem geht es um S&P Global, Sandisk, Micron Technology, Bloom Energy, TSMC, Nebius Group, CoreWeave, STMicroelectronics, Applied Digital, Riot Platforms, SharonAI Holdings, ServiceNow, Autodesk, Adobe, Elastic, Shopify, Workday, Quantum Computing, Ondas Holdings, indie Semiconductor, SoundHound AI, Centrus Energy, SpaceX, Nvidia, OHB, Airbus, Geely Automobile Holdings, Strategy, Tesla, Home Depot, Baidu, Klarna, Xiaomi, Pony AI, Keysight Technologies, SK Hynix, Intel, Redeia, Schroders, Daimler Truck, Mercedes-Benz Group, Porsche AG, Global X Data Center REITs & Digital Infrastructure (WKN: A2QPB0), First Trust Nasdaq Clean Edge Smart Grid Infrastructure (WKN: A3DGK5), Global X European Infrastructure Development (WKN: A40E7B), iShares Global Infrastructure (WKN: A0LEW9), BNP Paribas Easy ECPI Global ESG Infrastructure (WKN: A3EWYS), SPDR Morningstar Multi-Asset Global Infrastructure (WKN: A12EAR). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

UX portfolio websites eat up months, sometimes years, of time that could be spent applying, and Sarah argues you don't need one at all. This is week two of a five part series on UX portfolio myths, and this episode takes on one of the most repeated pieces of advice in the industry, that your portfolio has to be a website.Sarah's counter is a portfolio presentation instead. It's free, doesn't require learning new software, takes weeks instead of months, and can be duplicated and tailored for each specific role in under an hour. She walks through a full comparison of time, cost, customization, and what she calls interview readiness, the idea that a presentation portfolio doubles as the exact thing you'll need to present in interviews anyway, so you're never scrambling to build something new once you land one.She backs this up with two hiring manager perspectives. Patrick Neeman, Director of UX and AI Experiences at Workday, told her he prefers presentations because that's the format his own team works in day to day. Steph McDonald, a lead recruiter at HubSpot focused on hiring UX designers, said presentations are completely fine as long as the craft level is polished. Sarah also shares Marcus's story, who got hired as a Lead Product Designer at NAVA after building his portfolio as a presentation instead of a website.If you've been stuck for months trying to wrangle a website builder instead of actually working on your portfolio content, this episode is a direct permission slip to stop, and a breakdown of exactly what to do instead.Topics Discussed✅ Why a portfolio website can actually hurt your first impression with recruiters and hiring managers instead of helping it✅ The alternative Sarah recommends instead of a website, and why it takes weeks instead of months to finish✅ A full breakdown of time, cost, customization, and interview readiness for a website versus a presentation✅ What Patrick Neeman, Director of UX and AI Experiences at Workday, said he actually prefers to see in a portfolio✅ What Steph McDonald, a lead recruiter at HubSpot, said about presentation portfolios and craft level✅ How Marcus got hired as a Lead Product Designer at NAVA using a portfolio presentation instead of a website✅ Why "link to portfolio" on a job application doesn't actually mean your portfolio has to be a website✅ The exact question to ask anyone who insists you need a portfolio website, and why most people can't answer itLinks & Resources

2,5% Zinsen p.a. auf ein unbegrenztes Guthaben mit bis zu fünfmal der gesetzlichen Einlagensicherung*. Auch für Kinder. Das gibt's bei Scalable Capital. Mehr Infos hier. NVIDIA hat Milliarden in SpaceX und Intel. Berkshire stockt bei Delta auf, kauft Hausbauer und hat SpaceX. Silver Lake verhandelt Workday-Übernahme. Anthropic vervierzehnfacht sich. Nintendo verkauft 5 Mio. Pokémon-Spiele. Jane Street verliert Milliarden. Kesko (WKN: 884884) kontrolliert ein Drittel von Finnlands Lebensmittelmarkt. Sieht man an der Marge. Aber die Genossenschaft S-Gruppe macht Druck. Levi's (WKN: A2PFHR) hat den Umsatz zurück auf über 6 Mrd. $ gebracht. Premium-Jeans aus Japan, Beyond Yoga dreht ins Plus, Frauen-Segment wächst zweistellig. Dazu gratis WM-Werbung für eine Milliarde Impressions. Diesen Podcast vom 17.08.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. *Veränderlicher Zins auf unbegrenztes Guthaben. Konditionen sowie Guthabenverteilung auf scalable.capital/tagesgeld. Learn more about your ad choices. Visit megaphone.fm/adchoices

(0:00) Gavin Baker joins the show! (2:36) Anthropic IPO report: $2T valuation, $100B+ run rate, October listing (27:32) Zuck's AI manifesto: What it means for Meta and frontier AI (56:41) All-In Summit Speaker Announcements! (58:13) Nvidia's $500B financing plan, how the AI market could fall apart (1:14:29) NJ and Mamdani take on Amazon over subcontracted drivers (1:27:32) Grok 4.6 launch: SpaceX's high-ceiling, high-floor AI strategy (1:35:21) Workday in talks to be acquired by Silver Lake for ~$43B Apply for Summit 2026: https://allin.com/events Follow Gavin: https://x.com/gavinsbaker Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.ft.com/content/840ac156-af1c-4a82-b260-ae791072fcfa https://polymarket.com/event/ipos-before-2027 https://polymarket.com/event/which-company-has-best-ai-model-end-of-2026 https://www.bloomberg.com/news/articles/2026-08-13/anthropic-said-in-talks-to-buy-ai-startup-decart-for-6-billion https://x.com/elonmusk/status/2052069691372478511 https://www.meta.com/thefutureisforeveryone https://x.com/Home_of_Fight/status/2086504599444140344 https://x.com/JensenHuang/status/2086934705207959965 https://www.cnbc.com/2026/08/04/nj-amazon-antitrust-lawsuit-delivery-contractors.html https://www.google.com/finance/beta/quote/WDAY:NASDAQ https://www.amazon.com/Vision-Anointed-Self-Congratulation-Social-Policy/dp/046508995X https://www.nytimes.com/2026/08/10/nyregion/mamdani-amazon-delivery-workers-nyc.html

Scott Martin addresses reports that private equity firm Silver Lake seeks to acquire Workday (WDAY), a headline that gave the stock its best day in ten years. He believes the alleged $43 billion deal would be a steal for Silver Lake, as he explains why "the business is not going anywhere." Scott dives further into Workday and the software trade, naming Salesforce (CRM) and Adobe (ADBE) as winners and Fair Issac Corp. (FICO) as a lower in the coming years. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Today I discuss Workday and the potential Silver Lake buyout, Meta's personal AI strategy and it's potential for business, update on Galileo, and our new research on frontline work. Most of today's podcast is “analyst perspectives” but lots of direction is now clear. The GHRE Global HR Excellence masterclass starts in September: if you want a 12 week in-depth “Masters Degree” level dive into HR, talent, leadership, and AI (with hands-on and new tools), as well as business school level case studies, join us! (Sign up here.) Additional Information Mark Zuckerberg blog on personal AI The Business of Frontline: Five Types Of Frontline Work Galileo Suite: HR Intelligence For You, Your Employees, and Your Company       Chapters (00:00:00) - Sliver Lake vs. Workday: Going Private(00:03:10) - Mark Zuckerberg on Facebook's AI(00:09:38) - The Future of HR Data: Galileo and the AI Assistant(00:12:22) - McKinsey & Company: Trusting Our Research(00:14:45) - The Business of Frontline Work

In der heutigen Folge sprechen die Finanzjournalisten Lea Oetjen und Philipp Vetter über Entspannung an der Inflationsfront, Übernahme-Euphorie bei Workday und den Aufstieg von Reddit. Außerdem geht es um Workday, Sandisk, Western Digital, Netflix, Hertz, Cisco, Cerebras, Coherent, TKMS, Thyssenkrupp, Vincorion, RWE, Sixt, Secunet, Hellofresh, Energiekontor, Evotec, Birkenstock, Palantir, Nebius, Reddit, AvalonBay, Volkswagen, Adidas, Deutsche Bank, SAP, Siemens, Bayer, Commerzbank, Deutsche Börse, Deutsche Telekom, Siemens Healthineers, iShares Core FTSE 100 (WKN: 552752), BIT Global Technology Leaders (WKN: A2N812) und ARK Innovation ETF (WKN: A408AW). Am 2. Oktober findet unser „Alles auf Aktien“-Summit in Berlin statt. Mit dem Code „AAAFRIENDS“ sparst du 50 Prozent auf dein Ticket – aber nur unter folgendem Link: https://veranstaltung.businessinsider.de/event/financesummit26/summary?rp=c6dc55d6-6f4f-4fb4-b75f-3f3501d84859 Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Anthropics Investoren erwarten für Oktober einen Börsengang bei zwei Billionen Dollar, was der größte IPO aller Zeiten wäre. Pip erklärt, warum der Termin geschickt gewählt ist. Für OpenAI sieht er die Lage umgekehrt. Dort kommt der zweite Vertriebschef in einem Jahr. Zusammen mit Cerebras hat OpenAI dafür eine Variante gebaut, die vierzehnmal schneller antwortet. Danach vier Modellstarts in einer Woche, bei denen ausgerechnet DeepSeek die Preise um bis zu das Zwölffache erhöht, und Elon Musk sein neues Grok für objektiv das beste Modell hält. Bei den Finanzierungsrunden geht es um Databricks, Lovable, Legora und Cognition, dazu um die Frage, ob man das Geld gerade nehmen und liegen lassen sollte. Silver Lake holt Workday von der Börse. In der Schmuddelecke erlaubt die Trump-Regierung privaten Firmen offensive Cyberangriffe und beruft sich dabei auf Kaperbriefe aus der Verfassung. 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) Aus der Community (00:02:05) OpenAI wechselt den Vertriebschef (00:12:20) Ultrafast mit Cerebras (00:17:16) Anthropic-IPO (00:29:10) Anthropic kauft Decart (00:30:34) Braucht man ein KI-Device? (00:32:36) Gemini 3.7 Flash (00:34:10) DeepSeek V4-Pro (00:34:47) Grok 4.6 (00:37:11) SpaceX (00:38:49) Databricks und Snowflake (00:42:40) Workday geht von der Börse (00:44:11) Lovable (00:49:26) Legora (00:52:28) Cognition (00:55:18) Mistral (00:57:22) Kaperbriefe (01:02:05) Truth API (01:03:28) Chronext (01:06:55) Apple zahlt Verlage Shownotes OpenAI holt den zweiten Vertriebschef in einem Jahr - bloomberg.com GPT-5.6 Sol läuft mit Cerebras bis zu 14-mal schneller - 9to5mac.com Anthropic peilt einen Börsengang bei 2 Billionen Dollar an - ft.com Anthropic verhandelt über Decart für 6 Mrd. - bloomberg.com Google stellt Gemini 3.7 Flash vor - blog.google DeepSeek bringt V4-Pro und erhöht die Preise um bis zu das Zwölffache - theinformation.com Grok 4.6 startet zuerst in Cursor - gizmodo.com SpaceX-Leerverkäufern gehen die Kugeln aus - cnbc.com Databricks sammelt 5 Mrd. bei 190 Mrd. Bewertung ein - cnbc.com Silver Lake verhandelt über eine Übernahme von Workday - reuters.com Lovable verdoppelt die Bewertung auf 13,3 Mrd. - trendingtopics.eu Legora verhandelt bei mindestens 10 Mrd. - ft.com Cognition verhandelt bei 40 Mrd. - bloomberg.com Mistral will bis 2030 ein Gigawatt in Europa bauen - aibusiness.com Trump lässt private Firmen offensive Cyberangriffe fahren - bloomberg.com Kaperbriefe stehen in der Verfassung - xcancel.com KI-Agenten greifen Taiwans Regierungssysteme an - ft.com Presseverbände klagen gegen Trumps Truth API - ft.com Chronext-Kunden warten auf Zahlungen und Lieferungen - wiwo.de Apple verhandelt mit Verlagen über Nachrichten für Siri - techcrunch.com

Wall Street hits another record as inflation cools and oil prices fall - but where are the real opportunities for investors? Michelle Martin breaks down Reddit’s jump on joining the S&P 500, Workday’s takeover-fuelled surge, AMD’s multibillion-dollar debt raise and renewed interest in Chinese healthcare stocks. In Singapore, why is Olam falling despite reporting S$1.9 billion in profit? What does MSCI’s removal of Sembcorp mean for the stock, why is Genting Singapore under pressure, and what’s driving CDL’s earnings surge? Plus, leadership turmoil at India’s Tata Group and the bullish case for the company behind jeans. Hosted by Michelle Martin.See omnystudio.com/listener for privacy information.

Wie fühlt es sich an, den OpenAI-CEO zu fragen, ob er ein Lügner ist? US-Korrespondent Felix Holterman erzählt. Und: 30-jährige US-Staatsanleihen wurden am Donnerstag mit 5,22 Prozent Rendite ausgegeben.

Marley Kayden and Sam Vadas discuss July's flat wholesale inflation report and what it could mean for the Fed's path forward. They also break down major market movers, including Workday's (WDAY) surge on acquisition speculation, Lenovo's strong earnings-driven rally, and JD.com's (JD) decline despite an earnings beat. Investors are now focused on upcoming PCE inflation and retail sales data for the next clues on the economy.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Today, we're joined by Alex Yakubovich, co-founder and CEO of Levelpath, the AI-native procurement platform transforming how global enterprises manage indirect spend. We talk about:If software apps must become autonomous to be successful in the futureUsing AI to help build softwareDoes SaaS have a future, or strictly AI as a service?Why the question, “Is SaaS dead” is mootHow some SaaS pricing models can feel icky

Paul Spain sits down with Rory Birkbeck, co-founder of Safe Surfer, to explore the urgent challenges of keeping young people safe online. Hear about Safe Surfer's journey from startup to scale-up, their pioneering tech for families, and a partnership with Samsung for kid-safe devices. Discover eye-opening statistics on online harm, the complexities of digital safety, and why transparency and innovation are crucial for the next generation's digital wellbeing. This conversation is packed with valuable perspectives on navigating the digital world safely and responsibly.Keeping Safe on the Web with Kyle the Kingfish – Safe SurferParent Resources-thelightprojectA big thank you to our show partners: One NZ, Spark, PwC, Workday, 2degrees, Fortinet, and Gorilla Technology.

“The way the law is working — the Workday case is exhibit A here — is that vendors are going to be on the hook if their systems are producing biased outcomes. Period.”— Marc WeinsteinEpisode OverviewIn this episode I'm joined by Marc Weinstein, an attorney with 27+ years of practice focused on organizations that use tests to make high-stakes decisions about people — licensure, certification, admissions, and employment selection. His work centers on the legal rights of people impacted by AI systems and the organizations that use them.The legal ground under AI hiring is moving fast. In the past few months a state AI law got sued into a rewrite, a court handed down a ruling that shields bias audit data from view, and a new lawsuit opened a line of attack nobody was watching. If you buy, sell, or use AI hiring tools, this episode helps you stay on top of the shifting sands.Topics Discussed & Key Insights1. First, how to roll: governance before headlines.Marc's advice starts above the regulations. Your own governance is the key to successful risk mitigation. Get this part right and the rest gets much easier.* Before you track any law, ask why you want to use AI in the first place. If you have good answers, then ask how* Set principles for your organization — not for the whole world, for your organization. Let them drive your use cases, your vendor selection, and your evaluation criteria* Operate by them for real. A policy that lives on paper is worth nothing* Do this and you're already in compliance with most of the laws that could touch you. Everything below is what's shifting underneath that foundation2. Vendor liability is shifting fast — get ready now.For a long time, vendors selling hiring tools got a pass. How the customer used the tool was the customer's problem. That arrangement is breaking down.* In Mobley v. Workday, the court is letting claims proceed on the theory that the platform acts as an agent of its employer customers — which puts the same federal anti-discrimination laws that apply to employers on the platform* Plaintiffs go where the deep pockets are. Mega vendors like Workday and 8fold are the deep pockets* Employers are still independently on the hook. Vendor liability adds to yours, it doesn't replace it* Newer legislation points the same direction, and California's new regulations make bias testing itself evidence in court — more on that below* Since we recorded: the court refused to dismiss most of the remaining claims against Workday. The case keeps moving, and the core theory keeps surviving3. Bias audit data can be withheld — and that says a lot.A discovery ruling in the Workday case protected the company's bias testing data from the plaintiffs. Worth sitting with what that means.* The court held the data was privileged because lawyers curated it and the testing was done to provide legal advice — not for business use* Publicly advertising that you conduct bias testing did not waive the privilege* So the people alleging harm from the system may never see the data that would show whether the system harmed them* The bigger question: if the most important evidence about how these tools perform can be shielded, what does accountability actually look like? Proof may have to come from other directions4. There are new ways to hold these tools accountable.The Eightfold case shows creative lawyering finding routes into AI hiring that didn't exist a year ago.* The claim is built on the Fair Credit Reporting Act and privacy law — the argument is that AI-generated candidate scores are consumer reports, compiled without the required disclosures and consent* These theories don't require proving discrimination as a legal element, which makes them easier cases to bring* The target hasn't changed. It's still about how these tools treat people. There are just more ways to get there now5. Colorado is the cautionary tale: get aggressive, get crushed.Colorado passed the most rigorous state AI law in the country — mandatory risk management, impact assessments, a real duty of care. Then it got taken apart.* xAI sued to block the law. The DOJ intervened on xAI's side — the first time the federal government moved to invalidate a state AI law* The legislature rewrote the law under pressure. The replacement is a notice-and-transparency framework, delayed to January 2027* The lesson for everyone else: states that regulate AI aggressively are going to get sued by the federal government and the private sector. Plan around that reality6. Meanwhile, California quietly became the strictest.While everyone watched Colorado, California put real requirements on the books — and nobody has sued to stop them.* Under the FEHA regulations, conducting a documented bias test supports an employer's defense in discrimination litigation. Not conducting one supports the plaintiff. Records must be kept four years* The privacy agency's automated decision-making rules take effect January 2027: pre-use notice to applicants and employees, opt-out rights, and the right to demand how a system reached a decision about you* That last one matters. Can anyone actually explain how a frontier AI model reached its decision? For most of these tools, the honest answer is noFinal TakeawayThe laws will keep shifting. Colorado got rewritten, California's deadlines are coming, and the courts are redrawing vendor liability case by case. You can't chase all of it. Build the governance foundation, make vendors show you their evidence — your data, not just their study — and treat every recommendation a machine makes as the decision it really is. Good governance gets you more than 90% of the way there, as long as it's not just lip service. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

Today's guest is Clare Hickie, Chief Technology Officer, EMEA at Workday. Founded in 2005, Workday is a leading enterprise software company that provides cloud-based solutions for human capital management (HCM), finance, planning and AI-powered business operations. Workday serves more than 11,500 organizations worldwide, including over 65% of the Fortune 500. Workday helps businesses streamline operations, improve workforce management and make faster, data-driven decisions through its secure, intelligent cloud platform.In her role with Workday, Clare partners with senior business and technology leaders to help organizations transform how they manage people, finance and AI. With more than 30 years of experience in enterprise technology, Clare began her career on the customer side, spending 15 years at GSK before joining Workday in 2018. She is a recognized leader in responsible AI, cloud transformation and enterprise innovation, with a strong focus on building trusted, human-centered AI solutions that deliver measurable business impact.In the episode, Clare discusses:0:00 How AI conversations evolved from skepticism to agentic productivity5:51 Co-creating with customers to deliver proven AI outcomes7:19 How Workday's AI agents deliver significant productivity gains9:06 Creating consistent AI experiences built on a unified platform12:46 Responsible AI requires governance, transparency and risk management17: 33 How trust and responsible AI drive lasting customer adoptionTo find out more about all the great work happening at Workday, check out the website www.workday.com

Perez Hilton had a public breakdown on TikTok this week, and people are asking what actually happened. Chalene Johnson breaks it down with trigger warnings, including how it connects to his defamation fight with Blake Lively and Ryan Reynolds and his brush with death from sepsis this past March. Chalene also digs into why qualified applicants, including former Elle editor Stacy Deguide, who deleted 15 years off her resume just to get a callback, are vanishing into what recruiters call an AI hiring black hole. A Stanford study found that roughly one in five companies now let algorithms reject candidates before a human ever sees a resume, and Chalene walks through how hiring software like Workday's may be filtering out midlife workers, new grads, and everyone in between. Rounding out the episode is this week's crackdown on the black market peptide trade. An Indiana company called Paradigm Peptides was sentenced after selling to 54,000 customers in 80 countries, a Michigan dealer got 20 years for relabeling semaglutide as Ozempic, Wegovy, and Retatrutide, and a licensed doctor running a Utah clinic called True Health was caught repackaging BPC-157, TB-500, and other peptides under fake labels for more than 200 patients. Topics discussed: Perez Hilton, Blake Lively, Ryan Reynolds, Justin Baldoni, TikTok, Ariana Grande, Stacy Deguide, Elle, Stanford University, Workday, Paradigm Peptides, True Health, Justin Watkins, Ozempic, Wegovy, semaglutide, Retatrutide, BPC-157, TB-500, GLP-1, sepsis, ageism. Go Beyond The Podcast Join Chalene on her private podcast

In this episode, we explore how artificial intelligence is transforming power, accountability, and trust inside organisations. From algorithmic hiring and performance management to the legal risks of "shadow AI" and workplace surveillance, we discuss what businesses need to understand as AI increasingly shapes employment decisions.We discuss:How far AI has already moved into hiring, performance management, and employment decisionsWhether our legal systems and employment frameworks are prepared for accelerating AI capabilityWhat "human in the loop" really means, and the legal risks when it's missingReal-world litigation, including the Workday hiring-discrimination lawsuit and a Delaware Chancery case over an AI-influenced business decisionShadow AI: why employees bring their own AI tools to work, and what that exposes about leadershipWhere to draw the line between legitimate monitoring and excessive surveillanceWho inside an organisation should own AI-related employment risk — the board, HR, Legal, IT, or the CEOPractical steps every business leader should prioritise over the next 12 monthsAbout the guest: Andrew Adams is Practice Leader of the Labor & Employment Practice Group at DarrowEverett LLP, where he also serves on the firm's Business Litigation & Alternative Dispute Resolution and Regulatory & Compliance practice groups. He advises clients ranging from small businesses to multinational corporations on employment litigation, regulatory compliance, workplace investigations, and government enforcement, and regularly provides training on employment law and compliance issues. About the host: Dominic Bowen is Head of Strategic Advisory and Partner at one of Europe's leading risk management consulting firms. He advises CEOs, boards, and senior executives on crisis management, geopolitical risk, operational resilience, and strategy, drawing on decades of experience across government, humanitarian operations, and corporate leadership.Subscribe for new episodes every weekTell us what you thought in the comments belowShare this episode with colleagues working in employment law, HR, risk management, and corporate governanceSee more at www.theinternationalriskpodcast.com#ArtificialIntelligence #EmploymentLaw #WorkplaceAI #HR #RiskManagement #CorporateGovernance #ShadowAI #EmploymentRisk #FutureOfWork #InternationalRiskPodcastTell us what you liked!

Vinay Gidwaney is Chief Product Officer and Mike Sullivan is Co-Founder and CEO of OneDigital, a 6,000-person, PE-backed benefits, HR, and wealth consultancy serving roughly 100,000 employers. Their contrarian bet: AI transformation has almost nothing to do with technology and everything to do with treating AI as talent. Instead of automating tasks, OneDigital built an internal hiring pipeline for AI, complete with job descriptions, an intern-to-apprentice-to-full-time promotion path, and performance improvement plans, and used it to avoid the layoffs most "AI transformation" playbooks assume are inevitable. Liam sits down with both of them to unpack the night Mike built a "disruption calculator" that showed OneDigital was on track to cut 1,800 of its 6,000 jobs, and how that all-nighter became the catalyst for a different strategy. They get into Ben, the AI coworker now handling daily conversations with 1,600 benefit consultants, why Vinay cites a claim from Lemonade's CEO that AI agents scored higher on customer empathy than human call center staff, the risk of companies "renting back" their own intelligence after gutting their workforce, and the thinking behind their upcoming book, Workforce Intelligence, releasing August 25th. Key Topics Covered Why treating AI adoption like rolling out a new CRM guarantees failure The failed early bet on automating RFPs, and why augmenting human thinking won instead The stat that proves AI adoption is personal: a manager's own AI use doubles their team's usage Building an AI "disruption calculator" overnight, and the 1,800-job number it produced OneDigital's three-part AI framework: coworkers, builders, and agents How OneDigital literally hires its AI: job descriptions, interns, apprenticeships, and performance improvement plans Meet Ben, the AI coworker fielding daily conversations with 1,600 benefits consultants Why they stay LLM-agnostic and separate the intelligence layer from the model and the harness The real risk behind AI cost metering: losing access to the intelligence your company now depends on A claim from Lemonade's CEO that AI agents beat humans on customer empathy Irreducible vs. reducible skills: how to decide what AI should do and what humans should keep The case for "faces, not headcount" and OneDigital's internal "humanity test" What's actually inside their upcoming book, Workforce Intelligence Episode Timestamps 00:00 Introduction 00:41 The thesis: AI transformation is about talent and leadership, not technology 02:44 Why treating AI adoption like a CRM rollout fails 04:29 Pitching VCs a "Workday for AI agents," and why it flopped 07:19 Why automating tasks failed, and augmenting human thinking won 11:20 The stat that changed everything: manager AI usage doubles team usage 15:04 Mike's personal epiphany and the "Claude" nickname from his family 18:10 Building an overnight "disruption calculator" with Claude and Replit 19:56 The result: a model showing 1,800 of 6,000 jobs at risk if nothing changes 21:11 Coworkers, builders, and agents: OneDigital's three-part AI framework 24:02 The AI hiring pipeline: job descriptions, interns, and apprenticeships 27:39 Meet Ben: the AI coworker now used by 1,600 benefits consultants daily 31:10 What's actually deployed: an LLM-agnostic stack with a separate intelligence layer 35:38 The metering and access risk: the Fable/White House security scare 39:56 Measuring "workforce intelligence": blending human and AI capability 50:07 Irreducible vs. reducible skills, and the Lemonade insurance AI-empathy example 53:38 The reskilling problem, and why human judgment stays irreplaceable 56:30 "Faces vs. headcount" and the company's internal "humanity test" 1:07:08 The origin of their book, Workforce Intelligence (out August 25th) 1:11:10 The risk of "renting back" your own intelligence after cutting your best people Learn more about OneDigital and the book Workforce Intelligence: https://www.onedigital.com/ Connect with Mike on LinkedIn: https://www.linkedin.com/in/mikesullivanatdigital/ Connect with Vinay on LinkedIn: https://www.linkedin.com/in/gidwaney/ Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

Is Gen Z really this soft? Find out why in today's story roundup.  

What if your 100 people could feel like 300? That's the bet Robin Daniels, Chief Business Officer at Zensai and author of The Human Success Playbook, is making - and it's working. His company doubled revenue over three years and has been named a great place to work three years running. He joins us to break down how to unlock the potential already sitting inside your organization, lead through genuine uncertainty, and build B2B content that people can actually put to work. About our guest, Robin Daniels Robin Daniels is Chief Business Officer at Zensai, a learning and performance platform competing in a market dominated by Oracle, SAP, and Workday. He previously served as CMO at Matterport and WeWork and held senior marketing roles at Salesforce, LinkedIn, and Box. He recently co-authored The Human Success Playbook - a narrative business book that follows a fictional CEO who refuses a board's demand to cut 40% of the company and sets out to prove there's a better way. The book comes with an AI-powered interface where readers can ask the authors questions and apply every framework directly to their own organization. What B2B Marketers Can Learn From The Human Success Playbook The biggest AI opportunity isn't efficiency - it's multiplication. Robin starts every conversation the same way: do you see AI as a way to cut costs and get more efficient, or do you see it as a way to unlock insane potential in the team you already have? He's made his choice - and built a company around it. Ian puts the math plainly: if you have 100 people, the far more exciting challenge is figuring out how to make them feel like 200 or 300 and generate the revenue to prove it. Robin connects it to something every leader already knows but rarely acts on: "I truly believe everyone has something they're really creatively good at. But if you can actually find time to focus on that, it can lead to new ways of growing your business that maybe you hadn't even thought of before." The companies that win the next five years won't be the ones who cut hardest. They'll be the ones who figured out how to multiply. You can't shrink your way to greatness. Robin credits Tom Peters for the line and means it completely. His argument isn't about shaming companies that make cuts - sometimes it's necessary to survive. The argument is about where the real upside lives: investing in people, giving them new tools and skills and goals, and then letting them find growth paths nobody had imagined yet. "I've never seen a company shrink their way to greatness," he says. "You have to grow." Ian adds the frame: the goal isn't to replace anything - it's to generate more revenue. "How are we going to 2X our revenue?" is a fundamentally more energizing question than "how do we get more efficient?" And it tends to produce more interesting answers. Lead with a vision even when you don't have all the answers. Robin is direct about what employees actually hate most: not bad news, not hard feedback, but uncertainty. "If you don't know what you're working towards, it's really hard to do great work." In The Human Success Playbook, the fictional CEO Evan has eight months to show a different path or get fired - and the whole tension of the story is whether he has the courage to set a direction without knowing exactly where it leads. Robin's advice for real leaders in that position: paint the vision, commit to it, and stay flexible enough to adjust as the world changes. And then, with characteristic directness: "Being a leader has always been tough. Suck it up, buttercup." The future of B2B content is a framework people can make their own. Robin didn't just write The Human Success Playbook - he and his co-authors built an AI-powered interface on top of it so readers can chat with the book and apply its frameworks to their specific company. A 500-person manufacturer in Germany gets different advice than a mid-size bank in the Midwest. Ian connects it to a bigger shift in how B2B content works: "You're building to say: here's the framework, your AI already knows where you want to go as a business, layer this on top and execute." The white paper people download and never read is being replaced by something that actually does the work. Robin is explicit about why: competing against Oracle, SAP, and Workday with a smaller budget means doing something genuinely different. The book is that thing. "I truly believe everyone has something they're really creatively good at. But if you can actually find time to focus on that, it can lead to new ways of growing your business that maybe you hadn't even thought of before." - Robin Daniels Time Stamps [4:00] Meet Robin Daniels, CBO at Zensai and Author of The Human Success Playbook [4:39] Why Robin Wrote the Book - and Why Now [6:00] The Multiplier Choice: Unlock Potential vs. Cut Costs [8:00] It's Just a New Technology - Adapt and Grow [10:00] Robin Has Seen This Before: Internet, Cloud, Mobile, AI [11:00] The Book's Setup: CEO Evan, a 40% Cut Demand, and a Better Way [12:00] The Villain Isn't AI - It's Ignorance and Fear [14:00] Internal vs. External Motivation - and Why Inner Fire Wins [15:00] The Mountain Analogy: What Leaders Owe Their Teams in Uncertain Times [17:00] How to Lead When You Don't Have the Answers [19:00] Suck It Up, Buttercup - Leadership Has Always Been Hard [22:00] Your Whole Job Is to Make Stuff and Sell It [25:00] What Taylor Swift and the Vinyl Revival Teach Us About AI and Creators [31:00] What Should the CEO Actually Do? Reorganize Around Projects, Not Hierarchy [33:00] Invest in People's Capabilities - Measure Productivity, Not Efficiency [35:00] The Human Success Score - a Sleep Score for Your Organization [38:00] Replace "Replace" With "Multiply" in Your Vocabulary [40:00] "You Can't Shrink Your Way to Greatness" - Tom Peters [42:00] The Courage to Invest in People When Everyone Else Is Cutting [44:00] The Future of Books: Build a Framework, Let AI Make It Specific [49:00] Demo: Chat With the Book at Zensai.com [51:00] The "Talk to a Human" Button - the Future of B2B Content [52:00] Final Thoughts + Connect with Robin on LinkedIn Links Connect with Robin on LinkedIn: https://www.linkedin.com/in/robindaniels/ Learn more about Zensai: https://www.zensai.com Chat with The Human Success Playbook: https://zensai.com/report/thehumansuccessplaybook The Human Success Playbook on Amazon: https://www.amazon.com About Remarkable! Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Meredith Gooderham, edited by Jon Goldberg, and our theme song is "Solomon" by FALAK. Create something remarkable. Rise above the noise. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Workday is transforming “from Workday.com to Workday.ai,” Gerrit Kazmaier, president of product and technology, tells Bloomberg Intelligence senior technology analyst Anurag Rana in this episode of the Tech Disruptors podcast. They discuss how cognitive computing is reshaping enterprise software, why deterministic systems such as payroll remain essential and how AI agents could transform recruiting, travel, expenses and employee services. Kazmaier explains how Workday is combining trusted HR and finance data, outcome-based pricing and a fleet of specialized models to deliver accurate automation while reducing deployment complexity and expanding further into the midmarket.

Mary sits down with Eric Greenberg, EVP, Chief Legal Officer, and Corporate Secretary at Cox Media Group, for a milestone 100th episode conversation about what it actually takes to lead a legal department through transformation. They dig into why AI governance is really an anthropology problem, why buying software is the beginning not the end, the future of big law and outside counsel relationships, and why the most important leadership skill right now is making it okay to be wrong. This episode is presented by Workday. Join Mary's Substack Community Follow Mary on LinkedIn Rate and review on Apple Podcasts

Hear from Paul Spain and Nyssa Waters, founder and CEO of Possibl.ai and RCRT, as they discuss the opportunities and challenges of AI adoption, touching on privacy, ethics, and data sovereignty. Nyssa Waters shares her own journey of launching Possibl.ai and RCRT, offering insider perspectives on how businesses can harness AI for innovation and growth. Plus, the latest in tech news including: Rocket Lab's major US Space Force contract and expansion in Alaska EFTPOS NZ's biometric payment terminals Robotaxis operating without steering wheels US bans on foreign-manufactured robots EU debate over the cost and risks of replacing Huawei equipment AI-model cybersecurity breaches continue Coldcard Bitcoin wallet software vulnerability and resulting theft Revved: New Zealand Business & Leadership Summit and more Special thanks to our show partners: Fortinet, Workday, Spark New Zealand, One New Zealand, 2degrees, PwC New Zealand and Gorilla Technology.

Welcome to Day 648 of the Apocalypse. The Samurai Professionals are back with their mix of chaos, culture, and conversations you didn't know you needed.Remember y'all asked for this. This week, Frank is off galavanting, so Joe has jumped in the big chair and now they discuss the internet's reaction to the female Usher kicked off stage including her comments following the concert , leaving messages, WNBA exes going at it with DiJonai Carrington accusing NaLyssa Smith of cheating with players, and much more… Let's Chop It Up! Rate, Comment, and Subscribe. It helps the podcast to grow.Please visit us at TheSamuraiPros.comLeave us a voice note. We'll play it on then show. Follow the hosts on social all social platforms:Instagram | @TheSamuraiPros Twitter | @TheSamuraiPros Marvin | @MarvinxAdams Frank | @iCanOnlyBeFrankDon't forget to tag #TheSamuraiPros or @ us to let us know what you think of this week's episode!

#1015 Ever wonder what it takes to run a $2 million+ Etsy and Shopify empire while working just two to three hours a day? In part 1 of this two-part episode, Christina Umerez of CUOnline joins us to break down how she built a location-independent print-on-demand business — and how she's using Claude AI to automate the tedious parts that used to eat up her entire day. Christina walks through her journey from hand-drawn pet portraits on Etsy back in 2020 to scaling two separate seven-figure storefronts, and dives deep into how she's using Claude's MCP (Model Context Protocol) integrations to handle customer service drafts straight from her Gmail and auto-generate SEO — titles, descriptions, tags, and more — for every new product she lists. She shares real numbers on the time she's saved (cutting her VA's customer service hours nearly in half), what it costs to get started, and practical tips for anyone looking to buy back their time with AI! What we discuss with Christina: + Building a $2M+ Etsy store via print-on-demand + Scaling a second Shopify store to $2M+ + How print-on-demand works (Printify, no inventory) + Testing niches with 10 designs each + Working just 2-3 hours a day + Using Claude MCPs for Gmail customer service drafts + Auto-generating SEO for Shopify listings + Claude subscription costs ($20 vs Max plan) + Cutting VA customer service hours in half + Re-prompting Claude to refine its responses over time Thank you, Christina! Check out Part 2 of this episode. Check out CUOnline at CUOnline.ca. Follow Christina on YouTube. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

#1016 What if the secret to spotting the next big Etsy trend — before your competitors even notice it — was sitting inside a chat window the whole time? In part 2 of this two-part episode, Christina Umerez returns to go even deeper into her AI-powered print-on-demand playbook, revealing how she uses Claude to spot rising trends (yes, the "goose" and "raccoon" crazes are real), generate dozens of fresh design prompts from Etsy bestseller research, and turn those into finished designs through Kittl's AI image tools. She also breaks down how she uses Claude as a strategist and coach — auditing her Facebook ad campaigns, building out email marketing calendars in her own brand voice, and even helping her figure out what to delegate to her VA next. Christina gets candid about the reality of copycats in the print-on-demand space, shares how AI has roughly doubled her output while cutting her workday down to just two to three hours, and explains why she's using her newfound time freedom to launch a second Shopify store this year! What we discuss with Christina: + Using Etsy bestseller research to spot trends + Generating AI image prompts with Claude + Turning prompts into designs via Kittl + Trend example: geese and raccoons + Weekly AI-generated trend reports + Applying broad trends to niche products + Dealing with copycats on Etsy/Shopify + Using Claude to write email campaigns + Auditing Facebook ads with Claude + Doubling output, cutting workday to 2-3 hours Thank you, Christina! Check out Part 1 of this episode. Check out CUOnline at ⁠CUOnline.ca⁠. Follow Christina on ⁠YouTube⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

To start the week, SAP announced its financial results for the second quarter and half year 2026. In other news, Workday announced that Workday Adaptive Planning has achieved FedRAMP Authorization at the Moderate Impact Level. Then, Procore announced three new Digital Coworker packages that make it easier for construction organizations to adopt and scale AI. Finally, Unit4 announced Data Hub, a managed, high-volume extraction layer built into Unit4 ERPx.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup

What does it really mean to live an audacious life? In this episode of The Growth Now Movement, I sit down with Erica Rothenberger—a civil engineer, corporate executive, entrepreneur, mom of two, podcast host, and founder of the Audacious Women Summit—to talk about leadership, fulfillment, resilience, and turning unimaginable pain into purposeful action. Erica defines being audacious differently than most people. It's not the highlight reel that everyone sees. It's the hard conversations, the early mornings, the uncomfortable decisions, and the behind-the-scenes work that no one applauds. It's choosing growth when it's difficult and continuing to show up when nobody's watching. After a seventh-grade Take Your Daughter to Work Day introduced her to construction, Erica found herself building a successful career in a male-dominated industry by learning how to stretch beyond her comfort zone and walk confidently into rooms where she didn't always feel like she belonged. But her greatest lesson wouldn't come from the boardroom. In 2022, Erica survived a violent assault and strangulation that forever changed the trajectory of her life. Rather than allowing her story to define her, she chose to use it to serve others. Today, she's become an advocate for survivors, donates proceeds from her book to domestic violence organizations, and is working to bring Erica's Law to Pennsylvania. We also dive into why so many high achievers struggle to feel fulfilled despite accomplishing incredible things, how meaningful relationships can completely change the direction of your life, and why celebrating your wins might be one of the most important habits you're currently neglecting. This conversation is about courage, boundaries, healing, and giving yourself permission to live audaciously. In This Episode, We Discuss: What it truly means to live an audacious life The behind-the-scenes habits that create extraordinary success Building confidence in male-dominated industries Why high achievers often struggle with fulfillment How meaningful connections can change your life's trajectory Erica's journey from corporate leadership to creating the Audacious Women Summit Surviving a violent assault and transforming pain into purpose Why boundaries and saying "no" are essential for growth The power of celebrating your accomplishments through an "Audacious Badass List" Erica's 3:00-3:30 daily practice for creating intentionality and success How resilience is built one decision at a time

After years building software products, Chris Metcalfe crossed into People & Culture and noticed something surprising. Organizations invested enormous effort into understanding customers, testing ideas, and improving products, yet the work people did every day was rarely designed with the same discipline. That realization led him to ask a different question: what if work itself were managed like a product? In this episode, Dart and Chris discuss what happens when organizations move beyond HR as a service function, how product thinking changes the way work is designed, and why better work begins with solving the right problems.Chris Metcalfe is a product leader and organizational strategist helping organizations apply product management to the design of work. After leading product teams at Workday, Docebo, and Primark, he now helps People teams build product capabilities through Red Oak and PX as a Product.In this episode, Dart and Chris discuss:- HR through a product lens- Treating work like a product- The customer inside your company- Solving real work problems- Outcomes over outputs- The power of constraints- Product thinking for HR- Rethinking HR as product- And other topics…Chris Metcalfe is a product leader and organizational strategist who helps organizations apply product management to the design of work. He has held product leadership roles at Workday, Docebo, and Primark, where he led product teams spanning enterprise software and People & Culture. Today, he is the founder of Red Oak and PX as a Product, where he helps organizations build product-led People functions and apply product operating models to the design of work. He also writes The Operating Model, a newsletter on product leadership, organizational design, and the future of work.Resources Mentioned:Inspired, by Marty Cagan: https://www.amazon.com/dp/1119387507 Transformed, by Marty Cagan: https://www.amazon.com/dp/1119697336SapienX: https://sapienx.co.uk/Chris's newsletter, The Operating Model: https://metcalfec.substack.com/ Connect with Chris:Red Oak: https://www.red-oak.agency/PX as a Product: https://pxasaproduct.com/LinkedIn: https://www.linkedin.com/in/chris-metcalfe-red-oak/ Work with Dart:Dart is the CEO and co-founder of the work design firm 11fold. Build work that makes employees feel alive, connected to their work, and focused on what's most important to the business. Book a call at 11fold.com.

Host Paul Spain sits down with Scott McLiver, partner and Chief AI Officer at PwC New Zealand, to explore how artificial intelligence is rapidly transforming business. Scott shares insights from his frontline experience helping organisations adapt to AI, emphasising the importance of leadership, practical adoption strategies, and upskilling teams to unlock real productivity gains. Plus, the latest in tech news and developments including:• Revved: New Zealand Business & Leadership Summit• Spark signals potential business sale as it splits into two• Taumarunui earthquake mobile phone warnings• Hackers hijack hotel Wi-Fi DNS to steal Microsoft 365 accounts• Hugging Face hacked by rogue AI agent• American's push back against Flock Cameras• White House intervention on AI models• A look at Samsung's Galaxy Z Fold 8 and moreThanks to our partners: Fortinet, One NZ, Workday, 2degrees, Spark, PwC New Zealand, and Gorilla Technology.

Post-award bid protests filed at the Government Accountability Office will not hold up the Office of Personnel Management's rollout of a governmentwide HR system. OPM spokeswoman McLaurine Pinover confirmed to FedScoop via email that all companies that were entitled to and requested a debriefing received one, and that all debriefings were completed “well over 10 days ago.” Per rules that govern bid protests before the GAO, that means that the nearly $400 million award the agency made to Oracle in June can no longer be challenged before the watchdog agency's adjudicatory body. The eventual 10-year award to Oracle came after a rocky start for the push to build a governmentwide HR platform. OPM initially awarded a sole-source contract — one without a competitive bidding process — to Workday in May 2025 to facilitate the Trump administration's HR modernization efforts, only to walk the award back shortly thereafter. OPM eventually launched open competition for a contract to establish a governmentwide HR system. That contract faced pre-award protests from IBM and Economic Systems, Inc., which were withdrawn or resolved, freeing up the agency to make its award. And ultimately, Oracle was announced as the winner. Most of the Technology Modernization Fund's projects have yet to achieve expected cost savings, according to the Government Accountability Office, but there's big money to be saved on the horizon. Two dozen projects are expected to reach savings of more than $1 billion, a figure that exceeds total TMF investments across its broader 68-project portfolio. Nearly a dozen of those have realized a combined $13.5 million in savings, while another 13 have not achieved savings at all, according to the GAO audit published Thursday. “While savings thus far have been small, the amount is not unexpected given that 21 projects — with expected savings of about $1.04 billion, or 98.3 percent of the total — anticipate achieving their savings in fiscal year 2027 or later,” the watchdog said in its report. Six TMF-funded projects that expected cost savings have been completed. Two were on track to meet their cost savings target. The watchdog found that the others missed the mark. A General Services Administration project went through “a major change that descoped planned work and reduced expected savings,” per the report. At least one other project met a similar fate, leading to less savings than initially planned. Higher-than-expected migration and transition costs led another project's predicted savings to not materialize. Seven other projects were cancelled. 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.

Need help surviving the workday? We've got ideas to make your shift way more enjoyable, plus creative ways to beat the heat without melting, and we expose the coworkers who somehow make getting anything done completely impossible... but are also the reason work is actually fun.See omnystudio.com/listener for privacy information.

According to Gartner, at least 30% of generative AI projects will be abandoned after proof of concept due to escalating costs, poor data quality, or unclear business value. There are a lot of factors working against them, and too often failure happens when teams are right in the middle of building. They’ve spent significant time, money, IT capacity on something that may very well have been doomed from the start. So how do you know if something is actually worth building with AI or if you should just focus on buying instead? 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 Keith Weaver, Senior Director of Global IT and Enterprise Applications at Highspot. Thanks so much for joining us today, Keith. I’d love if you could just kick us off by telling us a little bit about yourself, your background, and your role. Keith Weaver: I have been leading our global IT team at Highspot. I’ve been in IT for, I think, getting close to 20 years now, just overseeing all kinds of different systems and specialties within those systems. Our IT team at Highspot is IT operations, making sure everyone has devices, equipment, all of that globally. We’re now in seven countries. As well as system engineering, making sure everyone has the right tools, that they’re optimized for the business. And then we have specific teams in IT that specialize in financial systems and HR systems. In the world of AI, it’s a whole new world and it’s a lot of fun. RR: So 20 years in IT, you’ve kind of run the gamut. But it sounds like the last two and a half years have crammed almost 20 years’ worth of change into a very short window. When we were planning for this episode, you mentioned to me that you read four or five newsletters every morning just to keep up with the pace of innovation. Can you walk us through why you’re spending so much time learning and how IT has had to evolve to keep up with this pace of development? KW: What I’ve seen is mostly it’s the same things that we’ve done, except it’s done at a much faster pace. It is kind of an unheard of pace that AI is moving. Every day, the reason I read five different newsletters is because there are so many new things getting released, whether it’s a new model or a new tool, and then there are things within the tools that are getting released. Trying to understand all those things, the new protocols that are getting released, the new ways people are building or executing on AI, or the new things people are learning, is just really critical. And all of that is at a speed that we’re just not accustomed to. So I think that the objective of what an IT team does to continue to keep the business unlocked, able to do their best work with the technology and tools while making it secure and scalable, those things are the same. It’s just the speed now that it’s running, and the speed from the business. The business is moving so fast, and their expectation is that IT continues to deliver at that pace. I’ll give you some examples. I get probably, me personally, not my team, but me personally, I probably get 20 to 50 requests for new connections, new skills, new tools every week. That’s in Slack, in Jira. It’s just nonstop, and that’s just unheard of before AI. It just didn’t happen. It would be like, “Oh, we have this big initiative, and we’re gonna do this thing.” And now it’s just like, “Can I have this? Can I have that?” And all good things, it’s just how do we do that, and how do we keep up? RR: So when you have 20 to 50 requests hitting your desk every week, it can probably start to feel a little overwhelming. And I wonder if the folks who are sending these requests your way maybe don’t know the considerations behind every single one of these ideas. I’d love if you could give us a view of what you’re seeing across the industry as both technical and non-technical teams are all noodling on the idea of how to build with AI, how to buy AI tools, how to bring them all together and create a combination that actually works. What are you seeing? KW: Well, I think if you think back a year to a year and a half ago, mostly people were buying tools. Building was… It’s so funny ’cause we’re talking about a year ago or a year and a half ago, but building was much harder. And really with Claude, the Opus class models that came out, it really started unlocking the ability for everyone to start building. And so since then, the conversation shifted from, “Yeah, we can go buy this tool,” to “We can build this internally.” And there’s a lot of excitement to build because building’s fun. The pendulum just swings often on these things, and so we’re kind of in that wave where everyone’s super excited about building something. And I think we’ll end up in a place that is more normalized, where we’re building some, we’re buying some. We’re doing a hybrid approach. I think that is where we’ll end up. It’s just, it has swung really far to, “Look, we can just go build that thing.” RR: So it sounds like we’re kind of in the early phase of a cycle that you’ve seen time and time again, where surrounded by enthusiasm, but maybe we don’t have much direction. And like you said, building is fun, so I imagine you probably hear a lot of, “Hey, look what I built,” or, “Why can’t we just build this?” So when something like that lands in your inbox, what’s the first thing that goes through your mind? KW: If it’s, “Look what I built,” there’s lots of questions, like how is it being deployed? What’s the next step with this? Who’s gonna own it? How is this actually out in the world, and how are we gonna make sure that it’s as scalable and secure? If it’s a conversation, I would say this is more so where we hear, “We want to build this thing,” or, “We can just go build this thing. Why would we buy this?” I think the thing that I would ask is, what is the long-term path for this? Because deploying is just the first step. It’s the iteration. It’s the test. It’s continuing to deploy it. It’s maintaining it. It’s supporting it. It’s the full life cycle of any software project. What resources are gonna do that? How are we going to maintain this and support this long term? Those are usually the questions that I start asking. RR: And you’re quite equipped to speak to the build side of the equation because you’ve done it. You’ve tackled the planning, the deployment, the maintenance, the ongoing support, the full life cycle, like you said, of a software project. And you’ve done it with AI. I’d love if you could walk us through your first test case. Tell us a little bit about what you were thinking going in, and what you learned along the way about what works, what doesn’t, and what was surprisingly difficult. KW: Yeah. So we built an IT AI agent and an HR agent, and we did that with a cross-collaborative team. I think we started it last fall and then deployed it in February or March this year. And I would say the main objective there was not that these are the tools that are gonna change the way we function. The main objective was a learning. It was an R&D investment. So we knew that we had to, as an IT team, be able to help the business deploy these agents, and we found some use cases that we could. The IT one we can own in-house. The HR one, we already collaborate with them very closely on a number of things. So it felt like a good first step for us to dip our toes, learn a lot about how to build these, what works, what doesn’t. And these agents are more than just chatbots. They really were taking actions in tools like Jira and Workday, Highspot itself. And we built them using the Workato platform, and what we learned through it is it was actually really exciting and really easy to get to a place where this mostly works, and this is pretty, it feels like this could be really powerful. That was, like, the first three weeks. The rest of the time was, “Oh, gosh, how are we going to get this thing so that it doesn’t give somebody some really poor answer from a security standpoint or an HR answer that needs to be rooted in truth?” And then how can we make sure that it repeatedly does these actions no matter what people prompt, that it’s really controlled? I often described it to my team like it was training a four-year-old. I have four kids and they’re all older now, but it was like I was back in those toddler stages. Like, “Why’d you decide to do that? That was a bad decision. Stop.” And trying to train it and get it to that point, it just took a massive amount of time. And since we’ve launched it, it’s a lot of resources to read the conversation, understand what was asked, understand what it did and where it went wrong, then refining it, then retesting it, then redeploying it. It’s a cycle. It’s this continual cycle, and that takes a lot more resources and time than I originally thought it would. RR: Ballpark, what did that investment look like? How long did it take you to build? How many queries did you have to manually validate before you trusted the thing? And how much are you still investing today to keep it alive? KW: In the beginning, you just start giving it manual prompts and testing it to see what it does. Then you produce your test cases, and you manually go through those test cases, and every time you make some major changes, you go through those test cases, make sure that it’s still hitting. Because just changing one little thing, for example, if you take a tool and change the prompt or the description of that tool, you actually have to do regression testing on all the things that someone could prompt, because just changing that one little description, the agentic reasoning could choose to use that tool or not use that tool at the wrong places. So it’s really important to do this regression testing. Then we started going through how do we automate some of this testing, and we were able to do some of that. But I think the biggest takeaway is with software, traditional software, you do regression testing, but if you change this bit of code, really that’s what you have to worry about, anything within that bit of code, not the whole stack, not the whole thing. This was, I think, a really big takeaway. We would make a small change, and something unrelated, completely unrelated, would start acting weird. And then you have model changes. You’re like, “Oh, I want to move to the latest model.” Well, that latest model now, the reasoning’s different, how it picks up tools might be different, and so that also has been a challenge. I think over time, especially as the tools evolve, the automated testing will get easier. We can have Claude, for example, go through and give it a bunch of questions, evaluate the responses. But you’ve got to build that too. That’s all something you’ve got to build in order to maintain this thing. RR: Now, you said this project was conceived last fall, launched, not necessarily finalized, ’cause it’s never really finalized, but launched publicly in the February March timeframe. So now we’re almost a year out from initial conception, couple months out from launch. Given your point about things changing so much in the last year and a half, now knowing what the landscape looks like, would you have built differently or would you have built at all? KW: It’s a great question. I think if I go back to my objective that I needed to learn and I needed my team to learn how to deploy these things and the challenges of it, I wouldn’t change what we’ve done, and they’re still deployed in production right now, although we are not spending a massive amount of time making them better. Would I change what I’ve done? No, but that’s because of where my objective was. My objective wasn’t to massively change the HR process or the IT process. It was to learn. And I think that given the right investment, we could move them further along. However, I do not believe that building something that every business has to do, IT and HR stuff, that… all those questions that we get, both of those teams get, are the same across most organizations. Most of the things employees need to do in these functions are the same across all organizations. So I don’t know that I would double down and want to go build the agentic functionality behind IT and HR. What I would want to do is look at our specific processes, things that are unique about our business, not only where we have the information, but what tools we use, and then maybe specific processes of how we do something, and figure out how do I build that piece and tie it into something that’s delivered. And there are so many, just talking about the IT space, there are so many systems right now that have the agentic functionality and give you the ability to tie in all your different tools. So I would probably try to leverage those rather than just building everything from the ground up. RR: As an aside, I will say I have used both the IT and the HR agents. They’re quite cool. The HR one talked me through my vision insurance at 8:00 PM on a Saturday, so thank you for that. Very helpful. So you mentioned that this was something that you and the team invested in as a learning, so you could understand what the process of building an agentic workflow looked like, an agentic tool looked like. So having now seen what it looks like, what must be invested in order to do this successfully, how do you draw the line between what you can build, what you should build, and what you’re better off just buying? KW: I think you should build the things that are unique to your business. You could think about this as your moat, but I think it goes beyond that. It’s where your processes or the way you handle something is very unique. In those cases, it may make sense to build something from scratch. But if it’s not unique to your business, like go back to the HR and IT, most of it’s just not unique. And so in most cases, when you don’t have something unique, then it likely makes sense to buy it, because you get the power of the organization that has built that tool behind it, pushing that tool forward much faster than you’re ever going to push it forward, ’cause we’re just not gonna hire that many engineers to do it. And so if there’s an IT tool out there that is bringing all that agentic functionality to the forefront, then why would I not leverage that, as long as I believe in the company, they have a track record to deliver, and they have the ability to build on top of it for some unique IT process that I have or some deterministic termination workflow that I want to execute. If I can do that, then I would say let me build what’s unique and tie it into something where the base or the product is being delivered. RR: Outside of that uniqueness component, if you’re a GTM leader trying to make that call, what other questions would you be thinking about and asking yourself? KW: I think I would just go back to that uniqueness test. Is this unique to my business? Is this a unique sales motion, a unique thing that we do here because of what we’re selling or how we’re selling that I can’t expect a vendor to build this or be able to deliver it? Or is it roughly the same thing everyone else is doing, the same problem everyone else is trying to solve? There are unique components, ’cause there are always unique components to this, but those unique components can be built alongside or included within that tool. And here’s the wonderful thing, if you just take AI or Claude, for example, we’re using Claude internally, you have a tool that has all the MCP capabilities like Highspot, like Salesforce, and you have some unique process with some maybe even proprietary tool that you want to do. Well, the great thing is you can bring that all into Claude. You can use Workato or build a skill within Claude and use that, whatever you’re building for that unique process, that unique system, and tie it in with those other tools that already are giving you a lot of functionality, and now you’ve expanded what you already had, and you’re spending your time in that uniqueness layer. What’s unique to us? That, to me, there’s value in that, to build there, because you’re not gonna get another organization to spend the time, money, or energy building on that. RR: So it sounds like it kind of comes down to a basic cost benefit call. Is the upfront investment and ongoing maintenance worth what that unique build will actually deliver? KW: When you’re doing the cost analysis, you can’t look at just what it costs to build. You have to look at the full life cycle. An analogy for you is, if you go back, maybe 20 years when SaaS really became a big thing, you had Salesforce kind of leading the charge. In all of the sales cycles, they would say, “You no longer need servers, and you no longer need admins.” The business manages this themselves, and everyone was super excited. Oh, this is gonna, the ROI’s gonna be so great on this. The business is gonna own this. We can move really quickly because we can change workflows and do this stuff and own it all internally. We don’t need an IT team to manage servers, et cetera. And everyone got really excited about this, and I remember all those years ago being like, “Guys, I don’t know if that’s really gonna be true.” So now you fast-forward, and it hasn’t been 20 years. For the last 15 years, we’ve been actually hiring system admins like crazy. We have Salesforce admins, NetSuite admins, Workday admins, Jira admins, and we are spending millions of dollars on these admins to maintain these systems that were supposed to have a great ROI. And I haven’t seen any studies on it, but I bet if we could compare on-prem with old software that we used to buy and put on-prem to SaaS, we would say that it was a lot cheaper to do it. And we’re not gonna go back. We’re not gonna do that any differently anymore, but I think we have to use that same type of lens. The ROI is not just the build. It is how are we gonna maintain this and keep it long term. RR: Yeah, and that’s the pendulum swing you mentioned earlier. Excitement, then reality hits, then we’re back to the next shiny thing. For those in that stage of enthusiasm that maybe don’t know what they’re getting themselves into, what do you wish they understood before kicking off a build or approaching IT with an idea? KW: I think the full cost. That you can’t do the math by just looking at what it costs to build, or that I can get a couple of my key people to go build this thing in Claude, but it’s how are we going to scale this in the organization? How are we going to deploy this thing? How are we going to maintain it? How are we going to support it? Who’s gonna take the support questions at midnight when they come in? And then how are we gonna iterate to keep ahead and make sure that it can do everything that we need it to do and stays ahead of where the business is going? RR: And when you’re having those conversations, at what point should IT actually be in the room? And what happens when you’re not? KW: I think that IT should be brought in the room as soon as a team is saying, “We can build this instead of buying it.” And really, I think that IT is not there, or hopefully we’re not there to say no. We’re there to help shed a light on what it’s actually going to take long term so that we make the best decisions. Because ultimately, I think we understand the technology and we understand the challenges of deploying stuff like this and then maintaining it long term. That’s what we do. And so if we’re in the room earlier, we can at least shine a light on it and give kind of that picture of reality so that we’re making the best decisions and there’s no surprises. Because the worst thing is that decision to build is made, they start building it, they realize they need IT’s help, and IT has a roadmap. We don’t have the resources or the ability to step in and solve this problem. Now you’ve wasted money. RR: Yeah. I saw a really interesting stat from some original research by Influ2. They surveyed marketing and sales leaders that are in the market for technology, and of those leaders, only 10% of them saw the IT perspective as valuable during the evaluation. 38% of them, however, then came back and said our biggest blocker, the number one blocker, in fact, was IT. So that disconnect is very clear, and it’s causing very clear consequences down the line. KW: I think what I would say is the best IT teams don’t want to be blockers. We don’t get excited blocking what the business is doing. We get excited leveraging the technology and moving it forward as fast as possible and seeing the business successful. So that’s what we want to do. It’s really hard when decisions have been made that back us into a corner and we’re like, “There’s no way to scale this, support this, continue this.” And then we’re seen as a blocker, but if we just had the conversation earlier, we could actually mitigate that much earlier. RR: So it sounds like the theme here is that your IT team wants to be a partner, not a gatekeeper or a blocker. And so knowing that, bring them along for the ride. Give them a seat at the table. Your programs, your investments will be better for it. If you had to boil this all down to one tip for marketing, sales, or enablement leaders on partnering with IT as they bring AI into their tech stack, what would it be? KW: I think if you can bring the IT team in and have a forward-looking view over the next year, over the next two years. It’s really hard to look two years out with AI and how fast it’s moving, but over the next year maybe, this is where we want to get. This is what we want to automate. This is what we need to fix. This is what we need to deliver in order to continue to execute on our objectives. If IT is on the same page there, we can be a proactive resource and help to get them there. We read all these things every day, there might be something that I’m seeing in the market or happening that I can bring to the table. Or at very least, when you come to me in six months and say, “Okay, I pulled the trigger on this thing,” we had that conversation. I knew it was coming. I knew the direction we were going, and directionally I was aligned with you, and so now I’m supporting that initiative rather than it being a surprise with no resources. So let us help with the roadmap. I think if we could do that across the whole business with IT, we would win together. RR: The one pretty clear takeaway, I think, whether you build, whether you buy, or whether you land somewhere in between, bring your IT team into the conversation, and you’re set up either way. Keith, last question for you. Just curious, what would you say to someone who looks at this build, buy, blend conversation and asks, “Why don’t I just build Highspot myself?” KW: When you build something as big and as complex as Highspot, there’s a lot of learnings that happen, a lot of iterations, a lot of changes to get to where you are. And trying to build that from scratch is very difficult. And I think the next thing that you may hear is, “Well, we can cobble this together.” I would just say you’re going to maintain that thing that Highspot has a full engineering team to make that as wonderful and as best as it can be. And how many engineers can you staff to do that and keep the velocity of it so that whatever you’re building is gonna move faster and be better than what Highspot’s building? And then what’s that gonna cost you? Going back to that build versus buy, when you start looking at how many engineers it takes not only to build it, but then to maintain it, support it, deploy it, I think the ROI doesn’t pencil out. RR: The moment you throw out the phrase cobble together, I think you’ve kind of already answered your own question. Keith, thanks for the window into a world most of us in go-to-market rarely see. This was a lot of fun, and I’m really excited to share the news. IT is there to help, and when you give them a seat at the table, your AI investments will be better for it. KW: Yeah. Thank you so much. I appreciate the time. RR: To our audience, thanks for listening to this episode of the Win/Win Podcast. Tune in next time for more insights on how to maximize go-to-market success with Highspot.

In this episode, HR thought leader Tim Sackett joins host David Turetsky to explore the current landscape of artificial intelligence in HR, talent acquisition, and broader workforce management. They discuss the gap between technological potential and real-world application, legal and ethical challenges, and how government regulation could shape the future of AI in HR.  In this episode:  The real vs. perceived capabilities of AI in HR based on recent conferences and practitioner understanding  The legal issues emerging from AI use in recruiting, including Fair Credit Reporting Act concerns and litigation risks  The influence of government and regulatory bodies, with insights into new appointments like Keith Sondralin at the Department of Labor  The analogy of AI's growth and adoption to consumer products, highlighting how HR leaders can start integrating AI effectively  The untapped potential of blockchain for employee data integrity and verification in the future workforce  Practical advice on how HR practitioners can educate themselves quickly on AI basics to avoid vendor confusion  The importance of embedding AI into business and HR strategy to genuinely solve problems rather than just automate tasks  The ethical and security concerns linked to identity fraud, insider threats, and malicious use of AI for employment fraud  Timestamps:   00:00 - Welcome and episode overview on AI's impact in HR 00:48 - Insights into Tim's recent conference experiences and the state of AI learning among HR professionals 02:35 - The hype versus the real application of AI in talent acquisition 02:57 - Fun facts about Tim Sackett: a Belieber and a Swiftie 03:48 - The quality and impact of recent Super Bowl performances and music preferences 05:02 - Discussing the upcoming Rush tour anniversary and nostalgia for classic rock 06:34 - The intersection of AI and HR conference trends, gap analysis between practitioners and tech providers 07:50 - The knowledge gap in HR regarding AI capabilities and the risk of vaporware marketing 09:01 - Foundations of HR's misunderstanding of existing HR tech systems and AI's rapid evolution 11:33 - Legal challenges with AI, including Wells Fargo and Workday litigations, and compliance risks 13:07 - The potential for AI to cause or prevent legal liabilities and litigation 15:00 - New leadership at the Department of Labor and its implications for AI regulation 17:10 - Political influences on regulatory approaches and the need for national AI legislation 19:54 - Blockchain's dormant potential for workforce data sovereignty and validation 22:07 - The future of digital identity verification and the use of blockchain for employee records 24:11 - Risks of identity fraud and the importance of robust verification methods 26:22 - How AI can both combat and exacerbate identity fraud and security vulnerabilities 28:25 - Insider threats, employment fraud, and the importance of vigilance in digital security 31:10 - Strategies for HR leaders to become AI literate with minimal time investment 33:24 - The importance of understanding what "agent" and "automation" truly mean in HR tech markets 35:23 - Aligning AI initiatives with business and HR strategies to solve real problems 37:07 - Cost considerations, the hidden expenses of AI, and the importance of planning for ROI 38:48 - The "free" AI myth and the real costs of tokens, processing, and hardware investments 40:08 - The impact of AI data quality on recommendations and organizational decision-making 41:04 - Closing remarks and appreciation for Tim Sackett's insights    Resources & Links:  Anthropic's Prompt Engineering Video  Keith Sondralin - Department of Labor  Claude AI by Anthropic  ChatGPT by OpenAI  Gemini AI by Google  The Fair Credit Reporting Act  Connect with Tim Sackett:  LinkedIn  Twitter  Note:   For HR leaders, gaining a foundational knowledge of AI is critical. Resources like Anthropic's short videos or AI primer courses can accelerate understanding and help avoid vendor hype and legal pitfalls. 

What would you do if you had lost everything — your home, your freedom, your will to live — and the only thing you had left was a decision? My guest today hit every one of those walls. He was homeless. He sat behind bars. He tried to end his life. And then — somehow — he went on to build an 800% sales turnaround at a dealership most people had written off, become a national speaker spotlighted on ABC, NBC, and CBS, and raise nine kids along the way. Today Glenn Lundy is going to tell us exactly what broke him, what rebuilt him, and the dead-simple morning practice he says anyone can use to stop surviving and start performing. Stay with us — because the moment he tells you what he was doing at 4 am that changed his entire life, you will not want to go back to the way you've been starting your days.   Follow Glen Lundy:  Web / https://www.800percent.life IG / @glenn_lundy Facebook For Morning Rise and Grind / https://www.facebook.com/800percent.life     Follow Dr. JC Doornick and the Makes Sense Academy:► Makes Sense Substack - https://drjcdoornick.substack.com ► Instagram: / drjcdoornick ► Substack: / drjcdoornick ►Facebook:  / makessensepodcast ►YouTube:  / drjcdoornick     MAKES SENSE PODCAST Welcome to the Makes Sense with Dr. JC Doornick Podcast. This podcast explores topics that expand human consciousness and enhance performance. On the Makes Sense Podcast, we acknowledge that it's who you are that determines how well what you do works, and that perception is subjective and an acquired taste. When you change the way you look at things, the things you look at begin to change. Welcome to the uprising of the sleepwalking masses. Welcome to the Makes Sense with Dr. JC Doornick Podcast.   SUBSCRIBE/RATE/REVIEW & SHARE our new podcast. FOLLOW Podcast: You will find a "Follow" button in the top right. This will enable the podcast software to alert you when a new episode launches each week. Apple: https://podcasts.apple.com/ca/podcast/makes-sense-with-dr-jc-doornick/id1730954168 Spotify: https://open.spotify.com/show/1WHfKWDDReMtrGFz4kkZs9?si=003780ca147c4aec   Podcast Affiliates: Kwik Learning: Many people ask me where I get all these topics, which I've been covering for almost 15 years. I have learned to read nearly four times faster and retain information 10 times better with Kwik Learning. Learn how to learn and earn with Jim Kwik. Get his program at a special discount here: https://jimkwik.com/dragon OUR SPONSORS: Operly - Take Back Control of your Work Day and Get Rid of All Your AI Apps - Welcome to the new world of Time Freedom and Unlimited Scaling and Success with Operly -  https://go.getoperly.ai/video?ref=jean-claude-claude-d-2a95 Blue Blinds Bakery - Hand Crafted with all-natural ingredients - www.blueblindsbakery.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailThis week's enterprise software announcements highlight continued investment in AI, workflow automation, customer engagement, and business application expansion. Exclaimer introduced an integration with Workday to streamline employee communications, while HubSpot launched Answer Engine Optimization capabilities to help organizations improve AI-driven content discovery. Respondology unveiled a solution for managing social media engagement, and StackAdapt expanded its advertising platform with live event campaign workflows for sports marketers. Additional developments include Agiloft's Contract AI platform, Certinia's Spring 2026 product release, Nutrient's workflow automation platform, People.ai's rebrand to Backstory, Sage's expansion of Sage Intacct Advisory, and the introduction of a new Human Capital Management solution, reflecting the industry's continued focus on embedding AI and automation across enterprise operations.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=fYz8BhGTCCcQuestions for Panelists?

The TL;DR: What happens when HR tech's most prominent conversational AI platform gets swallowed by an enterprise titan? In this high-octane episode, Chad and Cheese sit down with Adam Godson—the newly crowned GM of Talent Acquisition Products at Workday—to dissect the aftermath of the Paradox acquisition. Forget standard corporate buzzwords; this is a raw look at how AI "agents" are systematically dismantling traditional software, why the SAS pricing model is officially on life support, and what it actually takes to survive the "SAS Apocalypse." The Death of the "Click-and-Scroll" ATS The "SAS Apocalypse" is Real Resumes are "Lousy" 2D Artifacts Recruiting is Splitting in Two "What you get rid of is the people that wish they were talking to candidates, but are clicking buttons in the system. And that's a good thing." — Adam Godson Why it matters: This episode serves as a blueprint for the next five years of recruitment tech. If you are still relying on legacy keywords, manual data entry, and traditional seat licenses, your strategy is already on borrowed time.

Mary sits down with Nick Fleisher, Co-Founder and CEO of Sandstone, to pull back the curtain on legal tech's fastest-rising company. They dig into why great software still matters in the age of AI, how Sandstone is solving the permissions and context problem that's plagued in-house legal for years, why law firms will never out-build tech companies, and how an AI-native team is redefining what it means to build lean. This episode is presented by Workday. Join Mary's Substack Community Follow Mary on LinkedIn Rate and review on Apple Podcasts    

Great Morning, Humans, Great Morning, World. I am Dr. JC Doornick, AKA the Dragon. Welcome to the Makes Sense Podcast, and welcome to the Uprising of the sleepwalking masses. Here's a bold statement: 99% of the emotional pain you feel today isn't happening to you — it's happening to a costume you're wearing. Napoleon Hill called it indifference. I call it the Unshakable Mindset. And today, I'm going to show you the exact four-step system I am using — right now, in real time — to stay architecturally sound while the world tries to shake me. If you've ever wondered how some people seem completely unbothered while everyone else is a puppet on a string... stay with me. This one might change how you respond to everything. Follow Dr. JC Doornick and the Makes Sense Academy:► Makes Sense Substack - https://drjcdoornick.substack.com ► Instagram: / drjcdoornick ► Substack: / drjcdoornick ►Facebook:  / makessensepodcast ►YouTube:  / drjcdoornick     MAKES SENSE PODCAST Welcome to the Makes Sense with Dr. JC Doornick Podcast. This podcast explores topics that expand human consciousness and enhance performance. On the Makes Sense Podcast, we acknowledge that it's who you are that determines how well what you do works, and that perception is subjective and an acquired taste. When you change the way you look at things, the things you look at begin to change. Welcome to the uprising of the sleepwalking masses. Welcome to the Makes Sense with Dr. JC Doornick Podcast.   SUBSCRIBE/RATE/REVIEW & SHARE our new podcast. FOLLOW Podcast: You will find a "Follow" button in the top right. This will enable the podcast software to alert you when a new episode launches each week. Apple: https://podcasts.apple.com/ca/podcast/makes-sense-with-dr-jc-doornick/id1730954168 Spotify: https://open.spotify.com/show/1WHfKWDDReMtrGFz4kkZs9?si=003780ca147c4aec Podcast Affiliates: Kwik Learning: Many people ask me where I get all these topics, which I've been covering for almost 15 years. I have learned to read nearly four times faster and retain information 10 times better with Kwik Learning. Learn how to learn and earn with Jim Kwik. Get his program at a special discount here: https://jimkwik.com/dragon OUR SPONSORS: Operly - Take Back Control of your Work Day and Get Rid of All Your AI Apps - Welcome to the new world of Time Freedom and Unlimited Scaling and Success with Operly -  https://go.getoperly.ai/video?ref=jean-claude-claude-d-2a95 Blue Blinds Bakery - Hand Crafted with all-natural ingredients - www.blueblindsbakery.com   0:00 = Teaser 0.22 - Intro 1:14 - Great Morning 2:29 - Napoleon Hill on the First Words Out of Your Mouth Each Day 4:27 - Every Single Cell Inside My Body 6:11 - Becoming Mentally Unshakable 9:48 - To stop carrying things that are not yours 10:08 - Human beings living like puppets 14:04 - Carrency 17:42 - IRS Comes In 23:52 - Detachment vs. Suppression 26:03 - The Sick Role 26:37 - Bruce Lee Flow Like Water 27:41 - Allowing myself to be silent 30:41 - The 5 Year Rule Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Agentic AI is only as useful as the data it can access, and getting that foundation right is proving to be the harder half of the work. Years of mergers, acquisitions, and local decision-making have left many talent operations running on data and processes that were never meant to work together, and no amount of AI on top will fix what lies beneath. Some organizations are now rethinking their technology strategy in light of that problem. So what does getting AI-ready actually involve, and what does it change about the decisions you make? My guest this week is Lia Manafova, Talent Technology Strategy Lead at Sanofi, a global pharmaceutical company hiring at scale across more than 70 countries. In our conversation, Lia explains why the data foundation must come first, what an anchor product strategy looks like in practice, and what she has learned about making technology stick. In the interview, we discuss: Why AI readiness starts with data, not AI Building a bridge between the business and the digital team The challenge of constant transformation and change fatigue What is an anchor product strategy? How the Workday, Paradox and HiredScore acquisitions changed the options Best-of-breed or a single source of truth? Keeping recruiters in one system rather than three Piloting with the people who will use it every day The case for keeping the semi-automated option Building an ROI story the business understands What does the future look like?

On this episode of Christopher Lochhead: Follow Your Different, Bruce Cleveland, legendary entrepreneur and venture capitalist, joins us to discuss his powerful new book, “Market Engineering: Because Markets Don’t Build Themselves.” The conversation brought together two former competitors who have since become allies in a shared mission: helping founders and executives understand that markets, like products, can be deliberately designed and engineered. Cleveland’s insights are drawn from decades of operating experience at companies like Siebel and Apple, as well as his work as a venture capitalist guiding early-stage startups. The core argument is simple but often ignored. Over 90% of startups fail not because their products are bad, but because they never take responsibility for shaping the market around those products. Cleveland and Lochhead agree that the companies who teach the market how to think about a problem, and then how to solve it, are the ones who become category kings and queens. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go.   Bruce Cleveland on What Market Engineering Actually Means Bruce Cleveland defines market engineering as a five-part discipline that includes category design, positioning, messaging, storytelling, and thought leadership. When these elements are combined intentionally and consistently, they create gravitational pull. Customers seek you out, attend your events, and associate your brand with the future they want to be part of. Cleveland draws a sharp distinction between marketing and market engineering. He uses the analogy of a short-order cook at Denny’s versus a chef at a Michelin-star restaurant. Both have the same basic ingredients, but the outcomes are vastly different. The difference is knowing how to combine those ingredients with precision, purpose, and craft.   The Book as an Instruction Manual, Not Just Inspiration One of the most refreshing aspects of Bruce Cleveland’s approach is his insistence on practicality. He openly criticizes business books that fire readers up but leave them with no clear path forward. “Market Engineering” was written as a prescriptive guide, walking readers through specific frameworks like the Market Blueprint, Messaging Matrix, and Market Charter. To take this even further, Cleveland built an AI-powered platform called the Market Engineering Virtual Studio, trained on his own methodology using a neural symbolic recursion model named Finn. The platform allows users to actually build the documents and artifacts described in the book, turning static ideas into dynamic action. Cleveland and Lochhead both agree this model, combining a book, an AI companion, and a community, represents the future of business education.   Why Former Competitors Are Now Building the Same Category Together Perhaps the most telling moment in the conversation is when Lochhead reflects on the fact that he and Bruce Cleveland spent years as direct competitors, yet now champion nearly identical ideas. Rather than seeing this as a conflict, both men view it as validation. A category only exists when multiple credible voices contribute to defining it. Their combined efforts have helped make category design and market engineering part of the mainstream business conversation. Cleveland also speaks candidly about why he works primarily with pre-seed and early-stage companies that have limited capital. He prices his tools and services accessibly on purpose, takes small equity positions, and focuses on creating real economic impact. His philosophy is that helping startups succeed contributes more to society than any check he could write to a traditional charitable cause. For Bruce Cleveland, market engineering is not just a framework. It is a form of giving back. To hear more from Bruce Cleveland on the benefits of Market Engineering, download and listen to this episode.   Bio Bruce Cleveland's career in Tech spans more than 40 years as a venture investor and operating executive. He was a first investor and a board member of Marketo, which held an IPO in 2013 and was acquired in 2018 by Adobe for $4.75B. He was an early-stage investor in other notable companies such as C3.ai, Doximity, Vlocity, and Workday. Bruce also held senior executive roles in engineering, product management and product marketing at Apple, AT&T, C3.ai, Oracle and Siebel Systems. His book, Traversing the Traction Gap, is a prescriptive guide for startups and new product initiatives within larger companies helping teams to use ‘market engineering' techniques to successfully transition from Ideation to Scale. He attended the US Military Academy, West Point, New York, and received a BS in business administration from CSU, Sacramento. He lives in the San Francisco Bay Area.   Connect with Bruce Cleveland! LinkedIn | X (Formerly Twitter) | Website Check out his book here: Market Engineering: Because Markets Don’t Build Themselves   We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

What if the most transformative experiences of your life — crisis, loss, near-death — aren't things that happen TO you… But things that can permanently wake you UP? My guest today has spent two decades collecting the evidence. He's a psychology lecturer, a bestselling author in over 20 languages, and someone Eckhart Tolle called a vital voice for the shift in human consciousness. Today we're going into the psychology of awakening, why he believes the ego isn't your true self but an evolutionary accident — and why he thinks the Beatles were tapping into something most of us never access. Stay with me — this one will change how you see your own mind.   Connext With Steve Website- Books: / https://www.stevenmtaylor.com/ IG: / @stevetaylorauthor     Follow Dr. JC Doornick and the Makes Sense Academy:► Makes Sense Substack - https://drjcdoornick.substack.com ► Instagram: / drjcdoornick ► Substack: / drjcdoornick ►Facebook:  / makessensepodcast ►YouTube:  / drjcdoornick     MAKES SENSE PODCAST Welcome to the Makes Sense with Dr. JC Doornick Podcast. This podcast explores topics that expand human consciousness and enhance performance. On the Makes Sense Podcast, we acknowledge that it's who you are that determines how well what you do works, and that perception is subjective and an acquired taste. When you change the way you look at things, the things you look at begin to change. Welcome to the uprising of the sleepwalking masses. Welcome to the Makes Sense with Dr. JC Doornick Podcast.   SUBSCRIBE/RATE/REVIEW & SHARE our new podcast. FOLLOW Podcast: You will find a "Follow" button in the top right. This will enable the podcast software to alert you when a new episode launches each week. Apple: https://podcasts.apple.com/ca/podcast/makes-sense-with-dr-jc-doornick/id1730954168 Spotify: https://open.spotify.com/show/1WHfKWDDReMtrGFz4kkZs9?si=003780ca147c4aec   Podcast Affiliates: Kwik Learning: Many people ask me where I get all these topics, which I've been covering for almost 15 years. I have learned to read nearly four times faster and retain information 10 times better with Kwik Learning. Learn how to learn and earn with Jim Kwik. Get his program at a special discount here: https://jimkwik.com/dragon OUR SPONSORS: Operly - Take Back Control of your Work Day and Get Rid of All Your AI Apps - Welcome to the new world of Time Freedom and Unlimited Scaling and Success with Operly -  https://go.getoperly.ai/video?ref=jean-claude-claude-d-2a95 Blue Blinds Bakery - Hand Crafted with all-natural ingredients - www.blueblindsbakery.com   0:00 - Teaser 0:16 - Intro 1:09 - Who Is Steve Taylor? Exploring Consciousness & Awakening 4:09 - What's it like to be Steve Taylor these Days 8:28 - What Is an Awakening? 12:02 - Why Curiosity Matters More Than Certainty 20:38 - Can Suffering Trigger Spiritual Awakening? 30:14 - What is actually happening when someone goes through a crisis? 39:40 - Why Time Slows Down During Life-Changing Moments 47:49 - What Made The Beatles So Extraordinary? 55:48 - What Are We Really Waking Up From? 56:54 - Final Advice, Meditation & Where to Find Steve Taylor 59:40 - Outro Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Brendan Wallace is the Founder, CEO & CIO of Fifth Wall, the largest investment firm focused on technology for the built environment, with ~$3B in capital, the firm is driving the growth of nearly 170 companies, backing category-defining PropTech leaders such as Opendoor, Procore, Blend, Hippo, and Bilt Rewards. It's supported by ~115 of the world's largest real estate owner-operators including CBRE, Hilton, Hines, Marriott, Public Storage, Related, and Starwood. Before Fifth Wall, Brendan was at Goldman Sachs and Blackstone, and he co-founded Identified (sold to Workday) and Cabify. In this episode of Summation, Brendan and Auren discuss:How remote work protected mediocrity for yearsThe data center land grab: powered land, 2037 grid connections, and bring-your-own-solarHow land is the most stable asset on earth and there's still no way to buy an index of itWhy "capital-intensive businesses are bad for venture" is no longer trueYou can find Auren Hoffman on X at @auren and Brendan Wallace on X at @BrendanFWallace

Send us Fan MailThis week's enterprise software developments highlight the continued expansion of AI, workflow automation, and ecosystem connectivity across CRM, marketing, operations, and enterprise applications. Copado introduced Agentia, a Salesforce-first 360 delivery solution designed to streamline software delivery processes, while ECI Software Solutions added new AI capabilities to its Deacom and JobBOSS² platforms to enhance manufacturing operations. InvoiceCloud unveiled an AI-powered billing experience to improve customer interactions, and Pipefy announced a collaboration with Microsoft to strengthen workflow automation and enterprise productivity. Meanwhile, Airship expanded its fleet of AI agents to support customer engagement initiatives, and Clari and Salesloft introduced new capabilities aimed at improving revenue execution. Exclaimer deepened enterprise integration through its connection with Workday, HubSpot launched a solution focused on Answer Engine Optimization to help organizations adapt to AI-driven search experiences, Respondology introduced new tools for managing and engaging with social media comments, and StackAdapt released a live events campaign workflow tailored for sports advertising markets. Together, these announcements underscore how vendors are embedding AI and automation directly into business processes while expanding platform interoperability and customer engagement capabilities.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=yOB2KlqraVsQuestions for Panelists?