Podcasts about ERP

a16z's Seema Amble and Elena Burger sit down with Lio co-founder and CEO Vladimir Keil to ask where AI-native startups have an advantage when incumbent software companies already own the customer, the data, and the system of record.Their answer comes down to the work that happens outside those systems. In procurement, a final price in an ERP can hide hundreds of emails, spreadsheets, supplier conversations, engineering analyses, and decisions across legal, finance, and operations. Vlad explains how Lio uses multi-agent systems to take on more of that end-to-end work, from sourcing and RFQs to negotiation, shipment tracking, and invoices.They also discuss how enterprises learn to trust agents with increasingly consequential decisions, why the last 20% of an internal AI build can require most of the effort, and what happens when both buyers and suppliers have agents working on their behalf.Resources:Follow Vladimir Keil on X: https://x.com/askvladi?lang=en Follow Vladimir Keil on LinkedIn: https://www.linkedin.com/in/vladimir-keil/Follow Seema Amble on X: https://x.com/seema_amble Learn more about Lio: https://www.lio.ai/ Seema Amble's “Investing in Lio” article: https://a16z.com/announcement/investing-in-lio/ Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Run the Numbers, CJ sits down with Todd McElhatton, CFO of Zuora, for a deep cut on pricing, packaging, and value in the age of AI. They dig into how companies are figuring out whether to charge for AI at all, why token-based budgets are starting to sit alongside headcount budgets, and why AI may be increasing — not decreasing — the value of deep expertise.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsAbacum puts your actuals, forecasts, models, and business context in one place, so you can update the plan, run scenarios, and answer "why did this change?" without rebuilding the story from six spreadsheets and a Slack thread. Connect your source systems, keep models and assumptions aligned, and give leaders trusted answers while decisions are still being made. Go to abacum.ai/mostly-metrics.RightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjFidelity Private Shares gives founders the structure and simplicity to focus on what actually matters - building your company. If your startup needs a little extra support (and let's be honest, who doesn't need a little help now and then), then you're in for a pleasant surprise with Fidelity. If you stay investor ready, you don't have to get investor ready. Check out www.fidelityprivateshares.comRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjCloud Capital helps you say goodbye to on-demand rates for cloud. Committing more cuts the rate you pay for cloud infrastructure by 20–60%. Commit wrong and you pay for capacity you'll never use. Cloud Capital underwrites that risk, so you capture the savings of deeper commitments without locking in architecture or putting engineers on it. Go to www.cloudcapital.coEY works with high-growth tech companies to navigate the messy realities of scaling—from regulatory requirements to IPO readiness. By helping teams get it right early and often, EY lets founders stay focused on building while reducing risk as they grow. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: linkedin.com/in/todd-mcelhatton-2140761Company: www.zuora.comCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Intro1:15 Meet Todd2:24 Debating Price7:33 Is Software "Going Headless"?9:18 Is AI Increasing the Value of Experts9:58 Hiring Specialists vs. Generalists16:49 Rethinking the Budget Envelope26:56 Time to Value31:20 Forward-Deployed Engineers35:20 Parallels Between On-Prem-to-Cloud36:10 Rethinking Strategy37:07 Avoiding the Sunk Cost Trap38:58 The Art of Pivoting40:12 VMware41:31 Experimenting With AI42:33 What Private Boards Bring43:13 Short-Term Pain43:45 One-Way Doors vs. Two-Way Doors44:57Long-Ass Lightning Round45:04 Biggest Career Mistake45:36 Advice45:56 Finance Tech Stack46:43 The Craziest Thing Expense#RunTheNumbersPodcast #AIforCFOs #FinanceLeadership #Zuora #GoingPrivate

In this episode of FP&A Unlocked, host Paul Barnhurst and co-host Glenn Snyder sit down with Valerie Martin to discuss how AI is changing FP&A, leadership, and business partnering. They explore why greater efficiency does not automatically create greater value and how finance teams can use AI without losing judgment, context, or trust with the business.Valerie Martin is a Finance Executive specializing in FP&A and strategic finance, with experience across GTM, SaaS, AI, and value creation. A former Autodesk finance leader and San Francisco FP&A Board Ambassador, Valerie brings extensive experience in business partnering, finance transformation, and helping organizations make better strategic decisions.Expect to Learn:Why AI efficiency does not always create more value.How AI is changing the skills FP&A teams need.Why judgment and business context still matter.How leaders should rethink training and development.Why communication and trust remain critical in FP&A.Here are a few relevant quotes from the episode:“AI could help us get the answer faster, but you can't outsource accountability.” - Valerie Martin“The measurement is about the value, not the production.” - Glenn SnyderValerie explains that AI can automate variance analysis, reporting, data cleanup, and other repetitive work, but faster production is only useful if teams turn that saved time into greater business value. As AI takes on more technical work, FP&A professionals need to strengthen their judgment, curiosity, business acumen, and communication skills.Follow Valerie:LinkedIn: https://www.linkedin.com/in/valerie-martin-342878/Email: valsoniamartin@gmail.comFollow Glenn:LinkedIn: linkedin.com/in/glenntsnyderDisclosure: Portions of this episode (such as the introduction or promotional segments) use AI-generated voice narration produced under human editorial review.Explore Lineos Reporting Intelligence:Ready to transform financial reporting? See how Lineos Reporting Intelligence helps finance teams connect ERP data directly to Excel, access current data, and spend less time assembling reports.Watch the Reporting Intelligence demo:https://www.insightsoftware.com/lineos/resources/Reporting-intelligence-demo/?utm_source=thefpaguy&utm_medium=newsletter&utm_campaign=lineos-influencer-oct&utm_content=newsletter1Earn Your CPE CreditFor CPE credit, please go to earmarkcpe.com, listen to the episode, download the app, answer a few questions, and earn your CPE certification. To earn education credits for the FPAC Certificate, take the quiz on earmark and contact Paul Barnhurst for further details.In Today's Episode:[00:00] -Trailer[01:17] - Hard-Coded Opinion[04:54] - How AI Is Changing FP&A Skills[06:16] - Where AI Adds the Most Value[13:51] - When AI Efficiency Doesn't Create Value[15:03] - Judgment, Context & Accountability[19:46] - Redesigning FP&A Work for AI[20:51] - Why Communication Still Matters[27:35] - Turning Saved Time Into Greater Value[34:20] - What Differentiates Finance in the AI Era[41:22] - How FP&A Professionals Stay Valuable[46:27] - Closing & CPE Information

Episode SummaryMost transformation programmes are built around the hardware of an organisation: the systems, the ERP rollout, the AI licences switched on and handed out. Michael J. López, consultant, author of CHANGE, and the person behind a new national workforce study of 1,000 workers, has spent two decades delivering that traditional playbook, and the last five trying to change it. His starting point is simple: when his team asked employees for the top five things they get from their company during change and the top five things they actually need, the two lists had nothing in common. What people get is the stuff done to them. What they need is the stuff done by them.The conversation with Dan and Pia moves from diagnosis to what leaders can actually do differently. Michael names the "failure minimisation cycle," where everyone downplays how hard change will be to get budgets approved, which leaves people under-resourced and more cynical each time. His alternative is to treat change as a capability rather than a project: stress-tolerant cultures, executive teams that genuinely lead together, goals people feel they've contributed to, and progress measured through behavioural inputs and stories as well as hard outputs. It's an honest episode about why change takes 18–24 months, and why pretending otherwise costs more.Key Themes & TakeawaysIn Michael's study, the top five things employees receive during change (emails, communications, training) had zero overlap with the top five they need (experimentation, room for productive mistakes, coaching, leaders going first, the right environment).The "failure minimisation cycle" is well-intentioned but corrosive: underselling complexity to win approval leaves people under-resourced, so change feels harder than promised and trust drops with every programme.Treat change as an organisational capability, a muscle built over time, rather than a project with an end date, because the next change is always coming.65% of employees in the study felt their company's change plan asked them to move faster than was realistic; the systems can be installed quickly, but people need more time.The "what's in it for me" document rarely moves anyone; people commit to goals they feel they've contributed ideas and effort to, not goals handed down with a reward attached.The CEO's job includes preparing the executive team to lead change together; a committee without a committed champion is where programmes stall.Measure progress through "hard input signals" (new leadership and team behaviours) and "soft signals" (stories and cultural shifts), not only red-amber-green dashboards of outputs.Three Reasons to ListenListen if you've watched a transformation programme get approved on a promise everyone privately knew was too optimistic, and then watched people pay the price for it.Listen if your AI rollout amounted to "here are the licences, go and innovate" and you're wondering why so little has changed.Listen if you've ever been expected to show certainty in a planning meeting when the honest answer was "we'll learn as we go."Notable Quotes"What we tend to get from change is all the stuff that's done to people. And what employees really said is we need all the stuff that's done by people." — Michael J. López"I believe that change is about accuracy more than about precision." — Michael J. López"It does take boldness in a world where people mistake confidence for competence." — Dan HammondResources from MichaelWebsite: michaeljlopez.coachRethinking Change Management (the 2026 workforce study): Free Executive Summary · Full studyBook, CHANGE: Six Science-Backed Strategies to Transform Your Brain, Body, and Behavior: Amazon · Audiobook on Apple BooksTop Voice Podcast (live every Tuesday): YouTube · Apple Podcasts · SpotifyFollow Michael: LinkedIn · Instagram

Send us Fan MailHeavy equipment manufacturers often operate in complex environments where disconnected systems, operational resistance, and demanding project coordination can create significant barriers to transformation. Yet a successful ERP transformation requires far more than selecting and implementing new software. It requires alignment across engineering, production, supply chain, finance, and operations, while addressing the processes and organizational challenges that often span multiple facilities. In this podcast, we explore the real-world ERP transformation journey of Charl-Pol, a Canadian manufacturer operating five plants across Canada. Through its experience, we examine the practical challenges, critical decisions, and lessons that manufacturers should consider when modernizing their ERP landscape and building a more integrated operating model.In this episode, Sam Gupta from ElevatIQ is joined by Philippe Blackburn from Charl-Pol, Sultan Kaker and Louis Corriveau from Concerti where they discuss a heavy equipment manufacturing ERP Transformation: Charl-Pol's Journey.Video: https://www.elevatiq.com/events-and-webinars/inside-a-heavy-equipment-manufacturing-erp-transformation-charl-pols-journey/Questions for Panelists?

John Mackey, CEO of The Mackey Group, is back for his yearly state-of-the-industry catch-up with Drew. John advises fire and life safety owners and PE-backed platforms on M&A and growth, and his Mackey Report pulls industry research and investor-conference analysis into one set of benchmarks for what good looks like in this business.The M&A story has a new layer. The platforms that were acquiring five years ago are mega platforms now, and a second tier of companies founded eight to twelve years ago is on the same path, with many preparing for an exit in the next 18 to 36 months. By John's count about 85 percent of the market is always either growing or getting ready for a transaction. One analyst he cites in the report asks what inning M&A is in, and John puts it in the middle of the game.Newer contractors are building differently. They pick their field service software and ERP first and grow service before installation, the reverse of the playbook from six or seven years ago. That opens up the tech stack. QuickBooks runs out of room once you need job costing, the big platforms are struggling to choose between NetSuite and SAP, and John's tech stack guide comes down to one rule: understand your workflows and let them drive the software. Drew adds the piece many field service tools don't fully cover, inspection and compliance, and makes the case for a good implementation partner.The back half turns to labor. Technicians with 40 years or more in the field are retiring, and John sees AI shortening how long it takes a new tech to learn the job, as long as they still get hands-on time pulling wire and hanging pipe. He came back from NFPA without seeing a new widget, while hazards like storage at 50 feet, lithium-ion batteries, and data centers keep growing. CEOs at the bigger platforms tell him that without data centers they wouldn't have any construction right now, and he counts 140 data center permits pulled in Texas alone. They wrap with a pitch for the trades and the fall show schedule.The Mackey Group: https://mackeygroupllc.com The Mackey Report: https://mackeygroupllc.com/the-mackey-report Inspect Point: https://www.inspectpoint.com Timestamps0:00 Cold open0:18 Intro: episode 99 with John Mackey2:16 John's advisory work doubled after NFPA3:33 Mega platforms and the second tier forming under them4:21 How much M&A runway is left, and what inning we're in5:58 New contractors start with service and technology7:09 ERP, the tech stack, and letting your workflows lead11:32 Where inspection and compliance fit12:31 Inside the Mackey Report14:38 The labor gap and AI on the jobsite17:39 AI in technician onboarding, and why field time still matters19:51 What was missing from the OEMs at NFPA22:02 Data centers, pharma, and 140 permits in Texas26:17 Why it's a good time to get into the trades27:22 Fall shows and the road to episode 10031:17 Outro

Matt is joined by Ari Emanuel—executive chair and CEO of TKO, executive chair of WME Group, and founder and principal investor of Mari—to discuss his new memoir, 'Roll the Calls'; why he didn't mention CAA's Bryan Lourd in the book; his relationship with Patrick Whitesell, David Ellison, and Donald Trump; Elon Musk; and the current state of Hollywood. Plus, a lightning round about failures, paydays, and worms (02:19). Host: Matt Belloni Guest: Ari Emanuel Producers: Craig Horlbeck, Stefano Sanchez, and Steve Ahlman Theme Song: Devon Renaldo SAP GROW. AI cloud ERP for any size business. Learn more about your ad choices. Visit podcastchoices.com/adchoices

"You get launched over a barrier and now you're running. Everybody's yelling and you just have to get there." What happens when a psychology grad who grew up in tank tops and sundresses - and didn't own a single collared shirt - walks into a golf pro shop for the first time? She sees a disconnected, convoluted ecosystem and spends the next 19 years building the commerce layer that connects it all. In this episode of The ModGolf Podcast, host Colin Weston sits down with Meghann Butcher, Founder & CEO of RepSpark, the B2B wholesale commerce platform powering golf and outdoor lifestyle brands. From ordering 50 custom-logoed polos across 10 colorways to predicting what's trending in the market before orders are even placed, Meghann shares how she turned a sales rep's pad-and-paper problem into the platform the PGA of America calls "the commerce layer of golf." Whether you're a brand founder, a green grass buyer, or just golf-curious, this conversation is a masterclass in grit, empathy, and building infrastructure that makes everyone's life easier. 3 Key Takeaways you'll discover: 1. Psychology is the ultimate entrepreneur's superpower Meghann's BA in Psychology and Communications from Vanderbilt didn't lead her away from tech - it led her through it. From listening to customer pain points to building the right team, she credits her liberal arts background as the differentiator that helps her understand what people need, how they say it, and how to translate that into solutions. "I've actually used my psychology degree more than anything else." 2. Mass customization is the hardest problem in golf apparel - and RepSpark solved it It's not an e-commerce site where you put your name on a water bottle. It's 50 polos, 10 colorways, club logos on the correct side, correct colors, correct sizes - or the whole order comes back unsellable. Meghann explains how RepSpark spent years mastering this nuanced complexity, making it easy for sales reps and buyers alike to get it right the first time. 3. The future of golf commerce is predictive, intelligent, and inclusive With 9 million new golfers and brands like Lululemon and Fabletics entering the space, the game is expanding beyond traditional 18-hole courses. Meghann shares how AI is transforming RepSpark - from predictive ordering and order organization to auto-generated templates - and why the platform is leveling the playing field for up-and-coming brands to present a modern front as big as the enterprise players.

Christian Fraioli, Directeur des Systèmes d'Information de La Maison Bleue, revient sur son parcours dans l'informatique et ses 25 années passées chez Stellantis, avant de rejoindre le secteur de la petite enfance. Il raconte ce changement d'univers et l'importance qu'il accorde au terrain, à l'écoute des opérationnels et à la compréhension concrète des métiers pour construire des systèmes d'information adaptés aux usages. Il présente les enjeux IT de La Maison Bleue, qui compte entre 350 et 400 crèches en France, 80 au Royaume-Uni, 6 000 collaborateurs et une activité répartie dans quatre pays. Protection des données, simplicité des outils, accompagnement des directrices de crèche, déploiement d'ERP et organisation d'une DSI de moins de dix personnes sont au cœur de sa mission. Christian Fraioli partage également sa vision de l'IA et de la transformation numérique. Pour lui, avant de vouloir intégrer de l'intelligence artificielle, il est indispensable de disposer de fondations solides, avec des données fiables, à jour et correctement gouvernées. Il défend enfin une approche où la technologie reste au service de l'humain, particulièrement dans un métier comme celui de la petite enfance, où la relation avec les parents et les enfants demeure essentielle.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

ERP bývalo místem, kam se zapisovalo, co se ve firmě stalo. Dnes od něj chceme téměř opačnou věc: aby nám pomáhalo rozhodovat, co se má stát dál. Výrobní firmy očekávají propojená data, rychlejší plánování, automatizaci a stále častěji také využití umělé inteligence. Jenže samotný software nestačí. O tom, co dnes firmy od ERP skutečně očekávají, proč digitalizace často začíná změnou procesů a kam až můžeme pustit AI při rozhodování, jsme v podcastu Vše o průmyslu mluvili s Miroslavem Daškem ze společnosti Asseco Solutions, který se světu ERP systémů věnuje více než dvanáct let.Epizoda s videem: https://youtu.be/hEh8pJbsez8 

Najdroższa infolinia w Twojej firmie to Twój dział handlowy. Status zamówienia, faktura, limit kredytowy - klienci dzwonią i pytają o dane, które macie w ERP. Handlowiec je odczytuje, odkłada słuchawkę i odbiera kolejny telefon. Na sprzedaż zostaje przez to niewiele czasu.Ten problem zwykle zaczyna się już na etapie wdrożenia. Firmy dopracowują stronę główną, kartę produktu i koszyk, a panel klienta zostawiają na sam koniec, lub nie ruszają go wcale. Tyle że domyślny panel na platformie e-Commerce powstał z myślą o kliencie B2C, który wraca raz na kilka miesięcy, a nie o zakupowcu, który pracuje z Twoją platformą na co dzień.W tym materiale pokazuję 5 filarów panelu klienta B2B, dzięki którym Twoi klienci obsłużą się sami.Z tego filmu dowiesz się:➡️ dlaczego jedno zamówienie w B2B potrzebuje dwóch statusów➡️ jak obsłużyć zapytania ofertowe, żeby handlowiec od razu wiedział, komu może dać rabat➡️ jak ułatwić ponowne zamówienia i nie zamknąć klienta w bańce tych samych produktów➡️ jak odwzorować w panelu oddziały, role i akceptacje zamówień - i kiedy lepiej uprościć proces niż platformę➡️ po co klientowi dashboard, który spina wszystko w jednym miejscuJeśli projektujesz właśnie platformę B2B albo widzisz, że Twoi handlowcy toną w telefonach typu „gdzie jest moja faktura?" - ten film jest dla Ciebie.

RVs are homes that go 60 miles an hour. That changes everything about what goes inside them.Chris sits down with Sean Petterson, CEO of Supersede, a company combining recycling and manufacturing in an unexpected way - turning recycled plastic into structural building materials. Supersede started with boats, where wood has an obvious problem - boats get wet!From there, the company moved into RVs, where the materials face constant movement and thermal cycling, on a production line that can build an entire RV in a couple of hours.Sean also explains the thinking behind Supersede's manufacturing model, including why he'd rather build 10 smaller plants than one big one.In this episode, find out:How running production lines in mirrored pairs cuts the distance operators walk across the floorWhy an RV, built to go 60 miles an hour, is a harder test for a material than a house that never movesHow Supersede built its own ERP with zero software developers, piecing it together through Slack, Jira, and GitHub insteadHow a pre-sold capacity threshold - already dropping fast - decides when Supersede builds its next plantHow embedding machine vision and LiDAR on the line replaces a QA machine that would otherwise cost far moreWhy Sean thinks manufacturers who didn't start using AI a year ago are already a decade behindEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:"If you hadn't gotten on the AI bus 12 months ago, you're a decade behind." - Sean Petterson, CEO of Supersede“A big contributor to those inefficiencies is, frankly, just legacy that gets embedded.” - Sean Petterson, CEO of Supersede“In manufacturing, things can move slow, and we just have the unique benefit of making sure that we're investing effectively, but very efficiently.” - Sean Petterson, CEO of SupersedeLinks & mentions:Supersede is a manufacturing company turning recycled plastic into structural building materials, starting with its Marine Board product for the marine and RV industries.Harmoni is a factory orchestration platform that connects what's happening on your shop floor with the systems you already use, from your machines and operators to your ERP, giving your team one real-time view of production.PTC's Industrial Newsletter - a quick hit of clarity on how design, manufacturing, and service data can work together for manufacturing leaders looking to modernize.Make sure to visit http://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

Send us Fan MailERP projects rarely fail because of software alone. In many cases, the problems begin much earlier with weak governance, unclear decision rights, and teams that are not structured around the needs of the transformation. This webinar explores how organizations should build and organize ERP teams across the readiness, software selection, and implementation phases. It also examines how roles, responsibilities, and decision-making structures should evolve as the project moves from strategy and requirements to solution design, execution, and adoption. Ultimately, the right ERP team structure helps organizations make faster decisions, maintain accountability, manage risk, and keep transformation priorities aligned throughout the ERP lifecycle.In this episode, Sam Gupta and Shrestha Dash from ElevatIQ discuss the art of building ERP teams across phases.Video: https://www.elevatiq.com/events-and-webinars/the-art-of-building-erp-teams-across-phases-readiness-selection-and-implementation/Questions for Panelists?

A special episode, recorded live at Shoptoberfest in Nashville, Tennessee, and co-hosted with Scott Ohsman of Always Off Brand. Shoptoberfest is presented by Shopware.Karthik Chidambaram is the founder and CEO of DCKAP, an ERP-first integration platform for distributors and manufacturers.The conversation covers how DCKAP went from a well known Magento agency to a product company after a Prophet 21 integration for a distributor turned out harder than anyone expected, why Karthik built an ERP-first integration platform instead of a general iPaaS, what a manufacturer rep taught him about why the middle of the channel survives, the expansion into manufacturer ERPs with Global Shop Solutions, his Driven by DCKAP podcast, and running a fully remote team across the United States and twelve states in India.Links DCKAP https://www.dckap.comLearn more about our at-event interviews at talk-commerce.com/events.

As we wrap up MSDW's coverage of Directions for Enterprise 2026, we are joined for a recap podcast with Microsoft MVP Dag Calafell. Dag attended the event in Copenhagen, and we in this episode we discuss some of the core themes of the event including Microsoft's product plans, outlook on the partner opportunity, and how AI could change the nature of Dynamics 365 ERP projects and partner teams. Dag tells us that one of his hopes is that as AI matures it will allow partners to accelerate project work so they can achieve more of their desired goals more quickly rather than focusing on launching minimal viable products. But he believes partners also have questions about the future, like how a focus on AI will impact talent development and how it will be reflected in customer perspective on ERP investment outcomes. More information: •        MSDW's Directions for Enterprise 2026 coverage: https://msdynamicsworld.com/directions-enterprise-2026 •        Dag on LinkedIn: https://www.linkedin.com/in/dagcalafell3/ •        Dag's blog: https://www.calafell.me/

Send us Fan MailWhat are the top project manufacturing ERP systems in 2026? Before comparing the leading options, it is critical to define what project manufacturing actually means. In a true project manufacturing environment, the project is fundamental to how the company plans, executes, delivers, and financially manages its products and services. While many manufacturers track activities as projects, including contract printing and packaging companies, project management requirements alone do not make an organization a project manufacturer. The distinction becomes clearer when operational and financial processes converge around the project, including engineering, procurement, production, labor, material consumption, costing, billing, revenue recognition, and profitability. Understanding these differences is essential when evaluating ERP systems designed to support the unique requirements of project-driven manufacturers.In this episode, our host Sam Gupta discusses the top project manufacturing ERP systems in 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=u3pgt8O9S4YQuestions for Panelists?

CJ sits down with Lauren Dillard, CFO of LiveRamp, whose path to the CFO seat ran through investor relations, communications, and even a year as interim CMO. They dig into why storytelling and influence matter as much as technical finance chops, how LiveRamp tore down and rebuilt its entire commercial model — collapsing 25+ usage metrics into 5 and inventing the "token" along the way.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjPulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/EY works with high-growth tech companies to navigate the messy realities of scaling—from regulatory requirements to IPO readiness. By helping teams get it right early and often, EY lets founders stay focused on building while reducing risk as they grow. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: https://www.linkedin.com/in/lauren-russi-dillard-25502424/Company: https://www.liveramp.comCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Cold Open1:18 Intro1:29 Meet Lauren Dillard4:48 Lauren's Path to CFO5:06 The "Wrong" Career Move7:48 Why Storytelling Matters9:41 Turning the Answer Into Action10:33 People Plus AI14:50 Pricing Is a Strategy Exercise16:43 Rebuilding a Commercial Model22:29 Simplifying Quote-to-Cash23:29 Where the "Token" Came From28:48 Selling a New Pricing Model29:27 Balancing New Logos30:17 Upmarket or Downmarket?34:17 Where Finance and HR Disagree36:07 The Biggest Mistake38:23 Will It Make the Boat Go Faster?42:27 Lessons from the NBA44:25 Lauren's Biggest Misstep46:27 Finance Tech Stack47:42 Craziest Expense#RunTheNumbersPodcast #AIforCFOs #FinanceLeadership #MasterworksArt #ContextEngineering

Send us Fan MailEpisode 378: In this episode of The Heavy Duty Parts Report, host Jamie Irvine speaks with Brent Dinger of SRC Reman about the challenges and opportunities associated with remanufactured parts and core management. They discuss how inaccurate cross-references, limited industry-standard data, damaged or unidentified cores, rising freight costs, and inconsistent ERP systems create difficulties for distributors, repair shops, and remanufacturers. Brent emphasizes the importance of accurate core identification, proper handling of cores as valuable assets, and stronger validation processes by remanufacturers to prevent costly mistakes. Brent explains why remanufacturing remains a growing and valuable part of the heavy-duty industry, offering cost-effective, high-quality products that can sometimes outperform original equipment due to engineering improvements based on real-world failure analysis.Links·         SRCReman.com Sponsors of this EpisodeThe Hub Corp: Introducing the new standard in wheel-end protection: The Hub Corp's revolutionary XTRACTOR™. The only line of heavy-duty hub caps with a built-in 3-Stage Magnetic Oil Filter that safeguards critical axle components under extreme loads for longer. And with the patent-pending HexThread™ cartridge, the XTRACTOR makes hub oil servicing and inspections faster, easier, and cleaner. The Hub Corp: Challenge The Standard. Visit TheHubCorp.com to learn more and join the waitlist.  Fullbay: Fullbay is built for the heavy-duty world, giving your operation the tools to keep your fleet or independent repair shop running. Features like streamlined scheduling, real-time inventory tracking, technician efficiency insights, and detailed reports are how Fullbay helps shops reduce downtime and keep your vehicles on the road where they belong. Check out Fullbay.com/power to maximize your shop's productivity.GenAlpha: Equip360 by GenAlpha helps manufacturers and distributors grow their parts sales and make life easier for their customers. With real-time insights into inventory, pricing, and order tracking, it keeps customers coming back. Plus, it saves time by automating routine tasks and making repeat purchases simple. Explore Equip360 at GenAlpha.com.Disclaimer: This content and description may contain affiliate links, which means that if you click on one of the product links, The Heavy Duty Parts Report may receive a commission. Follow the podcast to never miss an episode. If you'd like to work with Jamie Irvine directly, you can schedule a meeting with him today.

Suppliers are under pressure to quote at China speed, and most can't stand behind the numbers they're sending. The average supplier now handles around 800 RFQs a year, up from 495 in 2002, with the same spreadsheets, email chains, and handful of veterans who know where the rates live. Speed is what everyone's demanding, and accuracy is where the margin's won or lost.Jan and Tom Roberts welcome back Ted Mabley, Director at UHY Consulting, to discuss his new white paper, Closing the Cost Execution Gap. It builds on his earlier study with the Center for Automotive Research and comes out as OEMs, GM among them, press suppliers to show where every number comes from.The gap shows up after the PO. A program quoted at a 10% margin launches at 5 or 6, as engineering changes and OEM productivity demands chip away at a quote that captured one engineering level at one moment. Sending the plant manager to sales to win the margin back won't work; the OEMs are too sophisticated for that.Ted's fix starts upstream, with skilled cost engineers in the room as the bill of materials takes shape, and it runs through the data. Quote history sits in SharePoint, on laptops, and across ERP systems inherited through acquisitions, and connecting it is where he sees AI's biggest opportunity. Jan adds a pointed challenge: total acquisition cost won't drive decisions while purchasing teams are still bonused on PPV.This conversation challenges supplier leaders to stop treating quoting as paperwork. Ted's first move is deliberately small: pick one high-volume RFQ or VAVE workflow and redesign it end-to-end. The suppliers who fix one workflow now will have a template for the rest, and a cost story they can defend when the OEM asks where the number came from.Themes Discussed in This EpisodeWhy speed without cost accuracy is a liabilityEmbedding cost engineering upstream at the BOMConnecting fragmented quote, cost, and plant dataScaling the RFQ process with automation and AITotal landed cost vs piece priceWhy PPV block the total acquisition cost thinkingOEM-specific playbooks and the case for a common RFQ formatStarting with one high-volume RFQ or VAVE workflowThis podcast is powered by QAD RedZone.Featured GuestName: Ted Mabley Title: Director at UHY Consulting About: Edward "Ted" Mabley has over 15 years of experience optimizing sales and business development operations, providing customer-specific solutions catering to a wide array of industries on a global scale. He works with OEMs, tier-one suppliers, and other manufacturing companies to create transparency in their cost process and develop vendor management programs to address relevant KPIs. His experience includes active cost management in accordance with enterprise product costing procedures, as well as developing strategic business roadmaps, product visions, and sales strategies. Connect: LinkedInAbout Your HostsJan GriffithsJan is the host and producer of the Auto Supply Chain Champions Podcast and The Automotive Leaders Podcast. A former automotive manufacturing and supply chain executive, Jan is recognized as a Champion for Culture Change in the automotive industry. She brings direct, grounded conversations to leaders navigating execution, disruption, and transformation across the global automotive ecosystem.Tom Roberts (Co-host)Tom is Co-host of the Auto Supply Chain Champions Podcast and Vice President of Strategic Industry Development at QAD. He works closely with automotive and industrial manufacturers to close the gap between insight and execution, helping leaders move from visibility to systems of action that drive real operational outcomes.Mentioned in this EpisodeClosing the Cost Execution Gap, UHY white paperAutomotive Suppliers and the Revenue Acquisition Process – Then and Now (CAR/UHY, 2025)Episode Highlights[00:03:11] Twenty Years, More Complexity: Ted's survey of tier one suppliers and OEMs revisits a 2002 study and finds RFQs moving faster, growing more complex, and landing on fewer people with the skills to get them right.[00:05:29] The Quote Is a Snapshot: A program quoted at 10% margin that launches at 5 or 6 shows how engineering changes and OEM productivity demands erode cost after the PO is issued.[00:07:05] Cost Engineering Starts at the BOM: China speed means skilled cost engineers have to join while the bill of material and vehicle requirements are still being defined, not after.[00:08:00] The Skills Gap Behind the Quote: Ted points to JCI's former cost engineering organization as a model for developing talent, a discipline that's largely been replaced by job postings for "four cost engineers."[00:09:00] AI's Biggest Play Is the Data: With quote history scattered across SharePoint and laptops, the greatest opportunity for AI is reconciling the cost buckets OEMs scrutinize first.[00:12:40] PPV Blocks Total Acquisition Cost: Jan argues that total acquisition cost won't drive decisions until purchasing teams stop being measured and bonused on purchase price variance.[00:16:44] One Playbook per OEM: Every OEM has different DNA, and until the industry agrees on a common RFQ format, suppliers need a separate playbook for each customer.[00:19:08] Start With One Workflow: Ted's recommended first move is redesigning a single high-volume RFQ or VAVE workflow end to end, then using it as a repeatable template.Top Quotes[00:07:29] Ted Mabley: "It needs to be a cost engineering team, not a cost analytics team. They need to be people-skilled who know what they're doing." [00:12:00] Ted Mabley: "It has to be automation because there just aren't enough people in the system to be able to support it." [00:19:41] Ted Mabley: "You've got to start somewhere. And you have to take a look at it from a holistic point, and you gotta be honest, right? What's working, what's not." If this episode resonated, share it with a fellow automotive leader and subscribe to the Auto Supply Chain Champions Podcast, where we're closing the gap between insight and action across the global automotive supply chain.Follow the Auto Supply Chain Champions Podcast for real conversations with leaders who are making hard choices, focusing their bets, and leading with intent.

You know the fear doesn't make sense. You've gone over the facts, reassured yourself, and tried to reason your way out of it — but OCD still leaves you with the same question: “But what if?” When something feels that real, knowing better doesn't always make the fear disappear.Dr. Patrick McGrath explains why OCD isn't something you can simply think your way out of. Even when you know you're safe, OCD can make danger feel real — and recovery means learning that you don't have to respond to that feeling. At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YT Follow us on social media: https://www.instagram.com/treatmyocd/ https://twitter.com/treatmyocd https://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

Ready for real help with OCD or anxiety? Book a free discovery call with me — no pressure, no obligation: robertjamescoaching.com/book-discovery-call Prefer to work at your own pace? My 12-week programs are available self-guided: Break Free from OCD: robertjamescoaching.com/self-guided Sensorimotor OCD: robertjamescoaching.com/sensorimotor-self-guided New here? Start with my free course: robertjamescoaching.com/free Robert James explores how the labels we use for OCD and anxiety can become limiting identities, and why distinguishing between having a condition and being defined by it matters. The episode covers narrative identity, practical approaches like ERP and ACT, and the idea that small, consistent actions — even when you don't fully believe them — can create new experiences that reshape your story. Listeners are encouraged to notice strengths alongside struggles, reallocate energy from compulsions to meaningful life activities, and try one small change to begin building a different future Disclaimer: Robert James Pizey (of Robert James Coaching) is not a medical professional and is also not providing therapy or medical treatment. Robert James Pizey recommends that anyone experiencing anxiety or OCD to seek professional medical help straight away to get a medical opinion and rule out other conditions or illnesses. The comments and opinions as written on this site are simply that and are not to be taken as professional medical opinions. Robert James Pizey provides coaching, education, accountability and peer support around Anxiety through his own personal experiences.        

Why do MTB skills seem to disappear the moment you feel scared, frustrated, overwhelmed or under pressure? You KNOW how to brake. You KNOW where to look. You KNOW what your body should be doing — and yet, on a difficult section of trail, suddenly none of it seems accessible. In previous episodes I've talked about how a lack of automaticity may be the cause, in THIS episode we talk about how you may be sabotaging yourself mentally! Because maybe it's the way you talk to yourself. In this episode of the Ride & Inspire RAWcast, we explore a sport psychology tool called Ileism. It's actually ridiculously simple — but psychological and neuroscience research into self-distancing and emotion regulation helps explain why changing the way we talk to ourselves can influence how we respond under pressure.In this episode, you'll learn:Why your MTB skills can feel inaccessible when pressure risesHow self-talk influences fear, attention and performanceWhat third-person self-talk and ileism areWhy psychological distance can help us regulate emotionsPractical examples on how to replace identity-based thoughts with useful process cuesHow to coach yourself through difficult MTB sectionsWhy the RIGHT technical cues still matterHow this technique can also help with overwhelm, procrastination and stressful situations away from the bikeBecause becoming a better mountain biker isn't "just" about learning what your body needs to do. It's also about learning how to "coach" your brain when it matters.Try the practical self-talk exercise from this episode on your next ride and notice what changes. And DO share it with me

What if your OCD thoughts actually mean something about who you are?   In this episode, Kristina explores: • Why OCD can make an intrusive thought feel like evidence • Why feeling convinced does not mean something is true • How anxiety, urgency, discomfort, doubt, and conviction can all feel incredibly convincing • Why mentally analyzing a thought can become a compulsion • How OCD turns ordinary thoughts into something that feels like a problem you must solve • Why trying to prove whether a thought is true or false can keep the OCD cycle going • The difference between having a thought and treating that thought as a message • Why some thoughts suddenly feel more important than thousands of other thoughts you have every day • How to start focusing on the OCD process instead of endlessly debating the content of the thought • Why recovery involves learning not to measure reality by how convinced you feel   If OCD keeps convincing you that you need to understand, analyze, prove, or decode a thought before you can move on, this conversation may help you recognize what is actually keeping the cycle alive.   ✂️ TIMESTAMPS: [00:00] – What If My OCD Thoughts Actually Mean Something About Me? [01:38] – Why Does OCD Make Certain Thoughts Feel So Important and Meaningful? [03:00] – Why Can an OCD Thought Feel Completely True When It Isn't? [04:06] – Why Does Feeling Convincing Become “Evidence” in OCD? [04:37] – How Does Trying to Figure Out a Thought Keep OCD Going? [06:08] – Why Does OCD Make You Treat One Thought Differently From Everything Else? [07:07] – What Question Should You Ask Instead of “What If This Thought Means Something?” [07:52] – How Do You Stop Treating Every Disturbing Thought Like a Message?   ✅ Free Resources & Links

In this episode, we continue our discussion of governed execution for agentic AI and how to prevent agents from taking actions they should not take. We use a maintenance example to examine access, approvals, revocation, rollback, and human checkpoints across systems such as ERP, inventory, HRIS, planning, procurement, and maintenance tools. We also talk about the difference between the agent and the harness around it, and why deterministic workflows are often preferable to direct model action. Transcript: https://otter.ai/u/QNu4NYGzk7xe1Knv3bzVdXBo7ZE?utm_source=copy_url

Nesta edição, trazemos uma cobertura completa dos destaques do evento ABRAS'26 Food Retail Future, explorando o inovador conceito de Retail as a Service, que transforma o supermercado de um simples ponto de abastecimento para uma verdadeira plataforma de serviços, mídia e dados.Destacamos a palestra do CEO da Bluesoft, André Faria, que revelou como a queda drástica nos custos da tecnologia viabilizou o surgimento de agentes de Inteligência Artificial que investigam e executam tarefas autônomas, inaugurando a era do Agent Engine Optimization (AEO). Acompanhamos também os debates vitais sobre a retração do poder de compra devido às apostas virtuais (bets) e a urgência de integrar os dados para sustentar o Retail Media sem perder o foco na experiência humana no chão de loja.Entre os destaques:

Daniel Cornelissen is er! Downtown is een nieuwe film van Michiel van Erp, die dit weekend in première gaat op het Nederlands Filmfestival in Utrecht. Daniel speelt een van de hoofdrollen, de twintiger Ronnie, die in de jaren '80 DJ is in het Amsterdamse uitgaansleven. Een prachtig en ontroerend queer verhaal, over generaties, vriendschap en verlies. Linkjes: Downtown op het NFF En Niemand Bleef Onaangeraakt podcast Tulip Town in het theater Word Vriend van de Show! affiliatielink om Podimo 30 dagen gratis te proberen Adverteren in de Eeuw van de Amateur? Mail naar adverteren@dagennacht.nl!See omnystudio.com/listener for privacy information.

PODCAST LAS NOTICIAS CON CALLE 24 DE SEPTIEMBRE - La Junta Fiscal habla con los federales sobre Power Expectations y no dice con quién (El Vocero, p. 4)- Mujica dice trataron de cogerlo de pen#$%$#, la 3PPO de Carlo Linares dio "respuestas parciales que omitían información relevante"" (El Vocero, p. 4)- La Junta advirtió en octubre de 2025 que el contrato de gas no garantizaba otro suplidor en una crisis; once meses después San Juan quema diésel (END, p. 6; Metro en línea, 14 oct 2025)- 3PPO exige a Genera definir cómo trae gas; dos unidades y siete generadores con diésel a tres o cuatro veces el costo (END, p. 6)- 84 centímetros es lo que no permite que se enchufe barco con Central San Juan (END, p. 6; El Vocero en línea, 23 sep)Apagón brutal de anoche fue causado por LUMA - ¿Quién paga el diésel? Contrato dice que dueños de Genera si no fue fuerza mayor (END, p. 6)Un momento para WindMar Home — la empresa con más de 20 años protegiendo los hogares puertorriqueños.Solar para bajar tu factura. Techo para proteger tu inversión. Agua para que nunca te quedes sin — especialmente con las sequía. Y batería para total independencia energética.Todo bajo una misma empresa. Un solo llamado. Llama al 787-489-1155 o visita windmarhome.com#windmarhome #incluyeauspicio - La Cámara no sabe si refieren a Josué por Perjurio (END, p. 8)- La AEE soltó el privilegio abogado-cliente el 19 de septiembre; la AAPP y la Oficina del Zar todavía no (END, p. 8)- Desastre del ERP continúa, $362 millones sin pagar por el nuevo sistema de contabilidad (END, p. 26)- Cuatro administraciones gastaron $11 millones en un ERP que nunca arrancó; el de ahora arrancó y no paga (END, p. 26)Trump va a prohibir la exportación de diesel para bajar el precio que subió otra vez - Politico Llega Xi a Estados Unidos y comienza reuniones con Trump - USA Today - Educación tiene 40% menos estudiantes que en 2016, fondos federales bajaron en 70% y la Junta aún espera el plan (El Vocero, p. 6)- La Junta dice secretario de Salud "ahora sabemos que ellos no escuchan" (El Vocero, p. 6)- Corrección le debe $17.8 millones al agua tras siete meses sin pagar (END, p. 10)- Ocho agencias y siete municipios le deben a la AAA (END, p. 10)- La AAA dice que el valvuleo es "mala costumbre", pero sin él no llega el agua (END, pp. 4-5)- Hacienda nos manda pal y dice que no va a eliminar la crudita, $15.50 por barril y entre $371 y $679 millones al año (El Vocero, p. 21)- Camioneros no van a paro pero amenazan con que al cliente que no pague el ajuste por diésel lo dejan sin servicio (El Vocero, p. 21)OpenAi ChatGPT intentó hackear todavía más entidades sin que los humanos se dieran cuenta - NYT - Alcaldes del PPD contratan un CPA para pelearle a la Junta los arbitrios de construcción (END, p. 13)- El Vocero seguirá impreso dicen en Editorial - El DRNA viajó a Tennessee por unos $8,000 para comprar una "caja negra" para sus lanchas para vigilar a sus empleados (El Vocero, p. n/v)- Coronel dice que el superintendente le tiene "un odio africano" (El Vocero, p. 14)- Puerto Rico es la jurisdicción que menos usa hospicios (END, p. 24)- American Airlines aumenta a 23 vuelos diarios desde San Juan este invierno, la mayor operación en 13 años tras la salida de Spirit (END, p. 28)Vuelve a treparse el petróleo y la deuda de los USA y otros países vuelve a treparse - Axios  • ⁃ Dinamarca jura que Rusia prepara un ataque a la OTAN pronto, Trump invita a Putin a Mar a Lago - FT 

Nscale just filed its S-1 to go public on the NYSE — and it might be the wildest IPO filing of the year. This UK-based "NeoCloud" is only 2 years old, is gross margin negative, started life as a crypto miner, and has somehow locked up over $100 billion in contracted value from Anthropic and Microsoft. CJ breaks down the entire S-1 line by line: what a NeoCloud actually is, how Nscale's "power to token" strategy works, why Nvidia shows up as its supplier, investor, guarantor, AND customer, and whether this is a durable business or a well-timed arbitrage on the AI compute shortage.—SPONSORS:Maximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjEY works with high-growth tech companies to navigate the messy realities of scaling—from regulatory requirements to IPO readiness. By helping teams get it right early and often, EY lets founders stay focused on building while reducing risk as they grow. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNCompany: https://www.nscale.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Cold Open0:53 Intro: Nscale Files to Go Public2:40 WTF Is a NeoCloud?4:11 The 5 Layers of the AI Stack5:55 Landlord vs. Hotel: Nscale's Two Businesses7:21 How Take-or-Pay Contracts Work8:28 Sponsor Break11:43 Breaking Down the Financials15:37 What's a Contract Actually Worth?18:45 Is This Just Nvidia Vendor Financing?20:58 Sponsor Break22:54 Medium-Term Arbitrage or Durable Company?24:30 5 Potential Red Flags27:08 How Does the CEO Get Paid?28:04 Who's on the Board?28:26 Is This the CoreWeave of the UK?31:09 Miscellaneous Filing Oddities33:31 Final Take#Nscale #IPO #NeoCloud #S1Breakdown #AIInfrastructure

You finally start getting a handle on one OCD fear — and then suddenly it latches onto something completely different. The thoughts may change from contamination to driving, relationships, morality, or something else entirely, but underneath them can be the same deeper fear that OCD keeps finding new ways to target. In this video, Dr. Patrick McGrath explains why identifying these “core fears” can be so important to OCD treatment. At NOCD, we specialize in exposure and response prevention (ERP) therapy, the most effective treatment for OCD—a treatment that can help you live a fulfilling life. If you're ready to take your first step, book a free 15-minute call with us at https://learn.nocd.com/YT Follow us on social media: https://www.instagram.com/treatmyocd/ https://twitter.com/treatmyocd https://www.tiktok.com/@treatmyocd Hosted on Acast. See acast.com/privacy for more information.

Matt is joined by Jeffrey Katzenberg and Bloomberg's Lucas Shaw to discuss Jeffrey's latest essay insisting that Hollywood embrace AI, similarities to CGI animation in the '90s and 2000s, the importance of consent and compensation, and why this could create more jobs and opportunities for storytellers (02:23). Matt finishes the show with an opening weekend box office prediction for ‘Heart of the Beast,' 'Forgotten Island,' and ‘Primetime' (33:10). Host: Matt Belloni Guest: Lucas Shaw, Jeffrey Katzenberg Producers: Craig Horlbeck, Jessie Lopez, and Stefano Sanchez Theme Song: Devon Renaldo SAP GROW. AI cloud ERP for any size business. Learn more about your ad choices. Visit podcastchoices.com/adchoices

O companie începe să aibă probleme atunci când munca de zi cu zi depinde prea mult de ceea ce țin oamenii în minte. La început, un Excel, câteva emailuri și conversațiile pe WhatsApp rezolvă repede lucrurile. Pe măsură ce organizația crește, informația se împrăștie, procesele trec prin mai multe mâini, iar o sarcină care cere două ore de muncă ajunge uneori să dureze două săptămâni.De aici pornește conversația mea cu Mihai Dârzan despre automatizare, inteligență artificială și felul în care organizăm munca într-o companie.Mihai Dârzan este fondator și CEO Procesio și lucrează de mulți ani în zona de software și automatizare. În 2011 a creat o companie care dezvolta soluții ERP și CRM pentru industria de energie electrică și gaze naturale. Câțiva ani mai târziu, încercarea de a extinde soluțiile către alte piețe l-a pus în fața unei probleme: fiecare client avea nevoie de adaptări, iar dezvoltarea software în forma obișnuită devenea greu de extins. Din încercarea de a găsi o variantă mai eficientă a apărut ideea unei platforme low-code. După doi ani de teste, proiectul a devenit o companie separată. Așa a apărut Procesio în 2020.Pentru mai multe resurse despre episodul de astăzi, notițe, ideile sumarizate - click aici pentru pagina episodului***Găsești notițe, ideile principale, insight-uri și cărțile menționate în toate episoadele pe florinrosoga.ro. Aici te poți înscrie și la un newsletter.Dacă îți plac aceste podcasturi, ajută-ne cu o recenzie pe Spotify sau Apple Podcasts. Este un gest simplu care ne ajută să abordăm subiecte și invitați interesanți.***Podcasturile noastre sunt aici:

Send us Fan MailSelecting and deploying a Manufacturing Execution System (MES) is no longer simply a tactical shop-floor decision. It is an architectural choice that determines how effectively ERP, machines, production data, and emerging AI workflows work together. In this webinar, we examine Infor's MES/MOM strategy and how it fits within the broader CloudSuite ecosystem. We also analyze how Infor is responding to the emergence of AI-native manufacturing platforms and what that means for manufacturers evaluating their future technology stack. More importantly, we explore how CloudSuite, MES, and Velocity Suite come together to create an integrated digital factory foundation connecting enterprise planning with shop-floor execution.In this episode, Sam Gupta from ElevatIQ is joined by Matt Barber from Infor and Jan Burian from ARC Advisory Group where they discuss Infor MES Strategy: Unifying ERP, Shop Floor, and AI for Manufacturing Operations.Video: https://www.elevatiq.com/events-and-webinars/infor-mes-strategy-unifying-erp-shop-floor-and-ai-for-manufacturing-operations/Questions for Panelists?

In today's Cloud Wars Minute, I look at Microsoft's new AI-powered Dynamics 365 Activate and what it could mean for Salesforce customers.Highlights00:11 — Microsoft has launched Dynamics 365 Activate. It's an AI-powered tool for migrating from Salesforce to Dynamics 365. In practice , this means analyzing a company's existing Salesforce setup, its data workflows, customizations, and integrations.00:31 — And then mapping what should be migrated, simplified, or redesigned in Dynamics 365. Now, the goal is to reduce the cost, the complexity, and the friction of switching enterprise software. So this is just the start for Activate, and Microsoft plans to expand it beyond Salesforce to other CRM and ERP migrations.00:55 — The company is really positioning this as a way of getting over vendor lock-in in the CRM space, and here's what Jeff Teper , Executive Vice President, Microsoft Apps and Agents, had to say about it: "Often, we hear from leaders that they feel locked into systems customized over years, surrounded by point solutions, and connected through complex integrations."01:19 — He says that Dynamics 365 Activate can help partners and customers move to Dynamics 365 faster, with less manual effort and lower migration risk. Now, why would they want to make the jump? Well, Microsoft is essentially saying, "Hey, Dynamics is a cutting-edge AI- and agent-oriented platform, so why stay locked into Salesforce architecture when you could move to a Microsoft platform designed around the AI agent Era?"01:49 — Now, it's rare that you see such an explicit example of a company targeting another where it hits hardest. In this case, that's Salesforce and its CRM business, where it remains a market leader with around 20% market share, despite all the alliances and partnerships we've seen, and continue to see , in the AI Era. The Cloud Wars are certainly alive and well. Visit Cloud Wars for more.

Gavin Giguere went from zero to a running machine shop in a matter of months. A conversation with a childhood friend about wanting his own shop, an LLC filed two weeks later, then five weeks of gutting and renovating a building while two new machines landed on the floor. His first order shipped on time, and so has every order since. What I wanted out of this conversation was the whole startup sequence, not the highlight reel. Gavin joined the NTMA before he had machines. He had five committed customers and letters of intent before he had machines. He ran an ERP from day one because he didn't want to backtrack out of spreadsheets later. He wrote a quality manual and an employee handbook before he had a payroll to apply them to. Most first time owners build those systems after the pain shows up. Gavin built them first. There's a buying side to the story too. A Facebook Marketplace trip that was supposed to be one Bridgeport ended with eight machines, and the tooling and inspection gear in that deal has been worth more to him day to day than the iron. If you're running a small shop, there's a real lesson in there about what the stuff you've accumulated over the years is actually worth, and what happens to it if you never write it down. The startup story doesn't end when the doors open. Gavin would hire two people today if he could find them. He's been at it for two months, on LinkedIn, on Indeed, with his partner helping, offering full benefits, and he's already had a candidate accept an offer and then take a counter from their current employer. Meanwhile he's running both machines himself, quoting at night and on Saturdays, and turning away work he can win but can't produce. He thinks he could double revenue if he could staff up. What's Covered in this Episode (0:00) Gavin would hire two people today if he could find them (3:53) How the NTMA brought us together and why joining was Gavin's first move (4:38) Picking trade school in eighth grade and getting the town to pay for it (6:27) Gavin's career trajectory from running manual mills to Director of Operations and Business Development (15:53) Why you can't sleep on the Hennig WorkFlow Automation System (16:44) How Gavin turns tooling reps and vendors into actual relationships (19:21) Launching a machine shop and buying his first two machines (23:37) Why we created (and why you should use) Hire MFG Leaders (24:06) Gutting the building and getting machines on the floor in five weeks (25:50) A Facebook Marketplace Bridgeport that turned into eight machines (26:48) Why the tooling and inspection gear beat the iron in that deal (28:30) The thousands of small shops that are worth nothing without their owner (30:20) Mike Payne's lesson on itemizing every asset in your shop (32:02) Why we love SMW Autoblok workholding products  (33:16) Building the Reign Manufacturing name in public on LinkedIn (36:29) Using AI for business planning, billing rates, and an employee handbook (37:57) Getting machines running, setting up automation, and fulfilling orders (41:24) Running an ERP from day one instead of spreadsheets (42:24) Splitting the day between running the business and running parts (45:24) Two months of recruiting, one counter offer, and still no hire (49:18) Turning away work and what a robot arm or two hires would unlock Resources Mentioned Hennig Workflow Automation System Hire MFG Leaders SMW Autoblok Reign Manufacturing NTMA Connect with Gavin Giguere Reign Manufacturing Connect on LinkedIn Gavin Giguere by email: gavin@reign-mfg.com

Oracle Health today announced new AI capabilities across its revenue cycle management portfolio that are planned to be released in the coming months. CMiC announced significant upgrades to NEXUS, its AI-powered construction ERP platform. The Epicor Channel Partner Program continues to expand across Australia and New Zealand, with the addition of Conveyance Solutions.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

AI is transforming the way businesses operate and, consequently, the software they use to run their companies. However, many companies are spinning their wheels right now as they wrestle with difficult questions such as: how can we determine which AI solutions are actually worth our investment? Should we still be thinking in terms of traditional ERP architecture? And what role does our vendor play in offering a long-term, cohesive strategy joining AI and ERP? Join us for this exclusive event where Independent Software Advisor and Industry Expert, Shawn Windle, will answer these questions and discuss how to develop a clear software strategy for your business in the AI era.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 a truly connected treasury look like, and how can organisations build one? In this episode of Redefining Treasury, HSBC's Amber Henderson-Smart and Peter Crawley explore how evolving client expectations are reshaping connectivity, from choosing the right banking channels to embedding services directly into ERP and TMS workflows.  Drawing on practical examples, they examine how real-time information can improve receivables, free up customer credit and support sales, and why robust connectivity is essential for AI-enabled treasury. The conversation also considers the controls needed as agent-to-agent interaction develops, alongside practical first steps for treasurers seeking better integration without a costly, wholesale transformation. Listen now to hear how connected treasury can support better decisions.

After implementing an ERP, Light Composites has improved inventory accuracy and nearly eliminated stockouts. “Recently, we did an inventory check, and we were within 97 to 98% of what the system says we should have,” says Ryan Hosmer, CEO. You can learn more in this episode or read about it on our blog For more information about the MRPeasy software, visit our website: mrpeasy.com

BONUS: From AI Curiosity to Practical Project Tools With William Davis AI becomes useful when it moves from generic answers into the daily work of solving real problems. In this BONUS episode, William Davis shares how he started building his own AI-assisted project management tools, what went wrong when the code grew too fast, and how Scrum Masters can use AI more carefully at individual, team, and project levels. When AI Stops Being a Curiosity "I really need to get a handle on how to productively use AI in my job."   William's shift started with a familiar problem: release plans are full of uncertainty, but stakeholders still need to understand what might happen and when. Instead of handcrafting uncertain delivery ranges in Excel, William used AI to build a desktop application that created probabilistic Gantt charts. In his work, these were not traditional command-and-control schedules. They were release plans that showed stakeholders a realistic range of possible delivery dates, making uncertainty visible instead of hiding it behind a false promise. The Euphoria and the Crash "Anybody can prompt an app into existence, but if you want an app that is actually enterprise-worthy, it does take a little bit of software engineering knowledge to know what questions to ask."   The first experience felt almost magical: ask questions, get code, assemble the pieces, and see a working application appear. But the magic faded when William kept extending the tool and the code started breaking in familiar ways. The AI forgot previous decisions, repeated mistakes, and produced a growing mass of tangled code. The lesson was direct: AI can move fast, but it still needs architecture, tests, and software engineering judgment. Without that, teams can build quickly and still end up with something hard to use, hard to maintain, and hard to trust. AI as a Partner Inside the Tool "The collaboration has a third partner, the AI."   William's work expanded from one application to several tools for forecasting, story mapping, release planning, and budgeting. The more interesting change was not only using AI to build tools, but building tools that could connect to AI while people used them. Through Model Context Protocol, William's tools can work with an LLM partner to help teams turn rough product ideas, emails, and scattered artifacts into structured story maps. The team still edits, challenges, moves, splits, and reframes the result. AI helps create a first model faster, but the team keeps responsibility for meaning and decisions. Security Starts With Where the Data Lives "Start with the easy sell: I'm building a tool, and the data that I'm creating is stored locally on your employer-managed device."   William is clear that AI adoption in organizations cannot ignore infrastructure and cybersecurity concerns. His first approval path came from designing tools that default to local storage in the browser, on an employer-owned and managed device. That made experimentation easier because sensitive project data did not need to leave the company environment. For teams using MCP or company AI platforms, the same question matters: where is the data going, who governs it, and what agreements protect it from being used for model training? Scrum Masters and software leaders need to treat security as part of the coaching conversation, not as an afterthought. Better Questions, Earlier in the Work "My goal is to solve the problems that I have at the moment that I'm having them."   For William, AI changed the work by removing delays between seeing a problem and trying a solution. A release forecast that once took 30 minutes to handcraft can now be updated in a few minutes during the team conversation. In a cloud ERP evaluation, AI allowed him to ask vendor-specific timeline questions much earlier than before. Instead of waiting deep into an RFP process to discover how different solutions would change the implementation plan, he could compare likely timelines upfront and make the trade-offs visible sooner. Go Slow to Go Fast With AI "Ask three different sessions the same question."   One of William's strongest warnings is that a single LLM answer can feel more certain than it really is. LLMs are probabilistic, and the same prompt can produce different answers across models or sessions. His workaround is to slow down the design step: ask multiple sessions or models to analyze the same problem, then use an orchestrator session to compare the answers and improve the design. For architecture questions, he may use Claude, ChatGPT, Grok, and Gemini. For smaller product improvements, he uses multiple sessions inside one LLM ecosystem. This is not a return to big upfront design. It is short-cycle research, planning, and implementation, repeated in small increments. A Practical First Step for Scrum Masters "Rather than just read about how to use AI, just start using it."   William's practical advice is to choose one real problem and ask your LLM how to approach it. If you are not familiar with MCP, start there: ask your preferred model how to connect to a tool through MCP, and experiment with a low-risk use case. William also invites listeners to try the free tools at SPERT Suite, where the default local mode keeps data on your own device. His broader point is simple: AI becomes useful when it is connected to a specific work problem, a clear feedback loop, and a human who still owns the judgment. About William Davis William Davis is a seasoned IT professional with four decades of experience as a software developer, project manager, and agile advocate. A certified Scrum expert and PMP, he promotes personal and organizational agility, delivers customized training, and mentors agile practitioners. Creator of Statistical PERT® and SPERT® Suite, William innovates with free, AI-powered project management tools for today's agile teams.   You can link with William Davis on LinkedIn and explore William's free tools at SPERT Suite.

What if you could ask your AI one lazy, one-line question—and get an answer that understands your projects, clients, decisions, tasks, mistakes, and business context?That's what becomes possible when you stop treating AI as a series of disconnected chats and start giving it persistent access to the context of your business. Instead of repeatedly explaining who you are, what you're working on, and what happened last time, your AI can find that context itself.And you don't necessarily need a sophisticated database or expensive knowledge-management platform to make it happen. In this episode, I break down the knowledge graph I built using primarily files, folders, tagging, indexes, and AI—and how you can start building your own.The goal is simple: give AI enough organized context that you can spend less time prompting, searching, explaining, and repeating yourself—and more time getting useful work done.In this session, you'll discover:Why context—not increasingly complicated prompts—is critical to getting better results from AI.How to move from prompt engineering toward context, harness, and process engineering.Why built-in AI memory alone may not provide the granular business context needed for specific projects and workflows.The five components behind my knowledge system.How I organize projects into folders and maintain evergreen project documents and task registries.How tagging and “front matter” help AI understand what files contain without reading everything.How shared drives, recorded meetings, CRM, ERP, task-management systems, email, and other sources can become accessible parts of the broader knowledge environment.Where Obsidian can be useful—and why it isn't necessary to make this system work.The result is an AI that behaves less like a blank chat window and more like a librarian for your business—able to locate relevant knowledge, connect the dots, and use that context when completing work.If you want AI to become more useful across your business, don't just improve what you ask it.Improve what it already knows when you ask.Listen to the full episode to learn how to build the system.About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Michiel van Erp is regisseur, producent en schrijver. Hij brak door met ‘Lang Leve…', waarin hij gewone Nederlanders op een bijzondere en humoristische manier portretteerde. Daarna maakte hij onder meer ‘Pretpark Nederland', over de manier waarop Nederlanders hun vrije tijd beleven, en ‘I Am a Woman Now', over transgender vrouwen die in Casablanca een operatie ondergingen. Met de dramaserie ‘Ramses' won hij onder andere een Gouden Kalf, de Nipkowprijs en de Prix Europa. Ook won hij Gouden Kalveren voor ‘Vergeet mij niet', ‘Niemand in de Stad' en ‘Een van ons'. Dit jaar opent het Nederlands Film Festival met zijn nieuwe film ‘Downtown'. Het is een verhaal over drie vrienden die in het Amsterdamse uitgaansleven van de jaren tachtig de aidsepidemie meemaken. Femke van der Laan gaat met Michiel van Erp in gesprek.

“We're not here for today. We're here for tomorrow.” In this special Technology Reseller News and ITAD Association podcast, Sarkes Mkrdichian of TechBros discusses the company's evolution from break-fix and managed services into IT asset disposition, and how AI, compliance and community involvement are shaping its growth. TechBros began nearly 20 years ago in break-fix services, later expanded into managed services, and over the past several years has built out a growing ITAD operation. Mkrdichian says compliance is central to the company's strategy. TechBros has invested heavily in certifications and recently added ISO 42001, focused on AI management systems. The company is also using agentic AI internally. Its AI tools can connect with ERP systems, email and other business platforms to build a knowledge base, identify patterns, assist with forecasting and support marketing and operational decisions. “We want to be a step ahead,” Mkrdichian says. That approach extends to TechBros' workforce. With a relatively young team, Mkrdichian says the company is focused on building processes and technology that can support long-term growth. Community involvement is another major part of the strategy. TechBros works with organizations including Big Brothers Big Sisters, Make-A-Wish and other nonprofits, and in some customer relationships it can structure revenue-share models that direct a portion of proceeds toward charitable organizations. For enterprise customers, Mkrdichian says TechBros focuses on efficiency, data security and long-term relationships rather than one-time transactions. For MSPs and channel partners, the company offers flexible models that can range from direct client referrals to fully integrated ITAD programs. TechBros can handle data erasure, chain of custody, asset processing and resale while allowing the MSP to maintain the primary customer relationship. Mkrdichian also encourages organizations to think carefully about data destruction. In some cases, verified erasure can provide better traceability than destruction alone, while customers with stricter requirements can combine erasure with physical destruction. As a new member of the ITAD Association, Mkrdichian says he is also looking to build relationships with other ITAD providers. “Let's see how we can work together and build this industry,” he says. Visit TechBrosAZ.com to learn more, or TechBrosCares.com to learn about the company's community programs.  

Hosts Ian Heller and Mark Brohan dig into a busy week in wholesale distribution and what it means for industry leaders. We start with Fastenal's quiet acquisition of Rampp.ai, an agentic AI platform the industrial distributor has never formally announced, and what it signals about building AI capability in-house rather than waiting on ERP vendors. We also break down Watsco's move to acquire The Granite Group, a $500 million Northeast plumbing and HVAC distributor, its second major deal of the year following Jackson Supply Co. Then we get into diesel prices, which hit a record $6.285 a gallon, and how Builders FirstSource, Grainger, MSC Industrial, Ferguson, Sysco, Performance Food Group and US Foods are each absorbing the hit differently. Plus, a new ransomware report shows midmarket distributors are the real targets, and Office Depot retires the ODP name nine months after Atlas Holdings took the company private. It was a big week in distribution. We break down what matters and why.

In this episode of Leaders in ERP, Shawn Windle sits down with Megan Gwartney, VP Industry Strategy & Solutions at Infor, to discuss the types of AI solutions on the market and how businesses can approach adoption based on their goals. Gwartney shares real-world customer examples of how multiple AI agents can work together across functions like customer service, finance, analytics, and workforce management to improve efficiency. The conversation also explores the importance of data maturity, governance, permissions, and human oversight when putting agentic AI into practice.Learn More About Infor: https://www.erpadvisorsgroup.com/vendors/infor-erpSchedule a Free Consultation: https://www.erpadvisorsgroup.com/erp-consultant-consultationConnect 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

PODCAST LAS NOTICIAS CON CALLE 18 DE SEPTIEMBRE - Buscan extender fondos de recuperación de María hasta el 2035 porque se empiezan a perder fondos de María - El Nuevo DíaA legalizar la casita de los suegros de la gobernadora- El Vocero Costaban 311 millones, ya van por 373 millones las 6 peakers que iba a comprar Genera, culpan a los aranceles - El Nuevo Día Hoy testifica Mary Zapata exdirectora de la AEE que renunció tras contrato de Power Expectations - Jay Fonseca PR Trump le quita credenciales de prensa a CNN, MS Now y Politico Delcy Rodríguez llega a la ONU para Asamblea General, se va a reunir con Trump Indagan por seguridad en hospitales tras caso de agresión sexual por guardia de seguridad en hospital - El Vocero Ya mismo van las concesiones de reserva en la Parguera - El Vocero USA y China acuerdan diálogo sobre inteligencia artificial, cumbre entre Xi y Trump comienza miércoles a viernes - Bloomberg  Guerra por Miss Universe ahora dicen que van para los tribunales y Miss Universe y PR se van a expresar esta semana ante la controversia - El Vocero Diez años después Anaudi como testigo estrella en caso de hermana Falcón - El Vocero Quedan fuera las candidatas a Miss Universe del Este por lío de dueños de Miss Universe: Tailandia, Indonesia, Vietnam, Laos, Malasia y Singapur "no serán elegibles" - El Vocero CERO escuelas terminadas y la LUZ más cara de la historia lo que nos dice el fin de semana del aniversario de María - El Nuevo Día MMM hoy voy pa Martins BBQEl mejor y más sabroso pollo asado a la varita de Puerto Rico. Cocinando diariamente comida fresca saludable y sabrosa con un montón de complementos para escoger, arroces, habichuelas, verduras, mofongo,tostones,....MMMM....Esto si es criolloMartins BBQ, TOMANDO todas las medidas de salud y sabor para mantener la mesa boricua al dia con opciones para llamar, recoger o delivery por UBER Eats, y DoorDash.MMM Hoy como en Martin's BBQAsado...Jugoso...Sabroso#martinsbbq#incluyeauspicio 6 de 8 fondos de HUD son catalogados como “slow spender" - El Nuevo Día 10 billones sin obligar de María, terremotos, Fiona inundaciones de 2024 y Ernesto de fondos FEMA que duran hasta el 31 de diciembre de 2027 - El Vocero y El Nuevo Día NEPR pregunta qué unidades capaces de quemar gas usaron otros combustiblesSe quedan sin gas las plantas de San Juan tras disputa por barco mucho más grande - El Nuevo Día Maceira no fue cabildero, era asesor - El Nuevo Día Juran que el ERP sigue atrasando el pago de los suplidos del gobierno de PR - El Nuevo Día No va lo de quitar la crudita del gobierno de PR - Primera Hora Gobierno no ha recibido notificación de cancelación de fondos de FAAst pero no descartan que vengan - El Vocero Diésel EEUU en récord $6.50/galónEl contrato de LUMA ante el Supremo y reunión del Negociado de Energía sobre factura eléctrica para el lunes que viene, incertidumbre total - Jay Fonseca PR COR3 reconoció que solo se ha usado cerca del 8% y tuvo que devolver dinero La ultraderecha AfD quedó primera en elecciones estatales del noreste; el partido de Merz sufrió su peor resultado desde 1949Trump nombrará un zar de la inteligencia artificial - Axios LOS DATOS DEL DÍACierre del viernes 18 de septiembre (los mercados de EEUU no operan fin de semana)Brent: $103.87 (-0.9%)WTI: $100.30 (-1.6%)Diésel EEUU: récord >$6.50/galGas natural: ~$2.89/MMBtuS&P 500: 7,650.50 (+0.17%)Dow: 51,682.64 (-0.18%)Bono 10 años: 5.00%Euro/USD: 1.1483Hipoteca 30 años: 7.05%PR gasolina reg.: ~$1.11–1.19/litro (DACO)

Send us Fan MailConfigure-to-order manufacturing has unique ERP requirements because product configuration sits directly between the sales and production processes. Unlike make-to-stock, make-to-order, or engineer-to-order environments, CTO manufacturers rely on configurators to translate customer requirements into products that can actually be manufactured. These configurators may be used internally by sales teams or exposed directly to customers, but the resulting configurations must ultimately flow into executable ERP processes, including bills of material, routings, pricing, costing, procurement, and production. Depending on the product complexity, configurations can range from relatively simple options and attributes to sophisticated, multi-layered product structures, making the integration between front-end configuration and back-end ERP execution critical.In this episode, our host Sam Gupta discusses the top configure-to-order manufacturing ERP systems in 2026. He also discusses several variables that influence the rankings of these ERP systems. Finally, he shares the pros and cons of each ERP system.Video: https://www.youtube.com/watch?v=Ql3IkCx7QDoQuestions for Panelists?

Roberto Rivera is the founder of Pricing Nerd, where he builds AI-powered pricing workflows for B2B companies. With more than 25 years in pricing and experience working alongside some of the field's early pioneers, Roberto has focused on turning pricing expertise into scalable AI-powered workflows. In this episode, Roberto explains why simply asking AI "What price should I charge?" produces unreliable answers. AI needs more than business data. It needs the context and pricing skills required to interpret that information correctly.   Why You Have to Check Out Today's Podcast: Learn why AI needs pricing skills and business context, not just more data, before it can produce useful price guidance. Discover how to make AI pricing recommendations more trustworthy and defensible using deterministic methods, formulas, and supporting evidence. See how AI can help uncover hidden value and margin leakage, from customer value modeling to forgotten contract clauses.   "AI can compile all that information... but at the end of the day, the human and the situation they're in, they're going to go with their best judgment." — Roberto Rivera   Topics Covered: 01:30 – From Pricing Consultant to AI-Powered Pricing. Discover how Roberto's 25+ years in pricing led him to build AI-powered workflows designed to help B2B companies turn value into margin at scale. 04:00 – Why AI Gets Pricing Wrong. Learn why asking AI "What price should I charge?" isn't enough — it needs deep business context and a clear understanding of what pricing actually means inside your organization. 06:00 – Context Isn't Enough: AI Needs Pricing Skills. Roberto introduces the second critical ingredient for AI-powered pricing: skills that teach AI how to interpret business information and apply pricing frameworks. 08:30 – The 48 Pricing Skills AI Can Learn. Explore Roberto's concept of pricing skills, from value-based pricing and willingness to pay to customer value modeling and contract analysis. 11:00 – Where AI Stops and Human Judgment Begins. Learn why AI can process pricing frameworks and massive amounts of information, but humans still need to weigh relationships, politics, sensitivities, risks, and accountability. 19:00 – What Happens When Humans Override the AI? Learn how AI can turn pricing overrides into a learning system, using previous adjustments to improve future recommendations. 21:00 – AI as the Smart New Hire for Your Pricing Team. See how AI can combine information from marketing, CRM, ERP, contracts, and customer data to create a defensible pricing recommendation and help less-experienced sellers learn. 26:30 – Don't Wait for Perfect Data. Start With One Painful Problem. Roberto's advice for getting started with AI: don't try to "boil the ocean." Pick one painful, repetitive pricing problem and use AI to solve it. 29:30 – Roberto's Final Pricing Advice: Just Start. Why messy data, complex businesses, and internal politics shouldn't stop companies from experimenting with AI.   Key Takeaways: "Skills are a massive component of giving the AI the power to not only know about your business, but interpret your business in a way that's going to produce good and solid price guidance." — Roberto Rivera "The beautiful thing that we have, Mark, is that we've been in the space for 25, 30 years... and we know what good looks like." — Roberto Rivera "You don't let perfection kind of limit what you think you can do and just begin to experiment and go for it." — Roberto Rivera   Connect with Roberto Rivera: Email: roberto@pricingnerd.com Website: https://www.pricingnerd.com/  LinkedIn: https://www.linkedin.com/in/robertorivera-pricing/ Book: AI for B2B Pricing: Turning Value into Margin at Scale   Connect with Mark Stiving: LinkedIn: https://www.linkedin.com/in/stiving/ Email: mark@impactpricing.com  

Welcome to this week's episode of the PEBCAK Podcast!  We've got four amazing stories this week so sit back, relax, and keep being awesome!  Be sure to stick around for our Dad Joke of the Week. (DJOW) Follow us on Instagram @pebcakpodcast   Please share this podcast with someone you know!  It helps us grow the podcast and we really appreciate it!   Simple 6 signup link https://simple6.co/r/CFUR98   Zero Data Retention is a contract term, not a law of physics - and the first CISO who finds that out the hard way is going to get fired for it. https://openai.com/index/navier-stokes-solution/ https://www.axios.com/2026/09/08/openai-math-solution-navier-stokes-credit https://www.rubrik.com/company/newsroom/press-releases/26/rubrik-unveils-code-guardian https://www.tenable.com/blog/microsofts-september-2026-patch-tuesday-addresses-964-cves-cve-2026-81963-cve-2026-85880 Chamath predicted on All In that some poor CISO or CIO gets fired in the next few months for trusting a frontier lab's ZDR agreement, and Chris thinks that prediction ages well. ZDR promises no storage, no logging, no training - but it's best effort, enforced by contract language instead of a technical security boundary, and OpenAI just admitted that while unlikely, it cannot rule out that de-identified data from product usage helped improve the models behind its Navier-Stokes result. Worse, the legal bar is lower than email: a warrant gets your inbox, a subpoena gets your prompts, and you may never know. Ben's CISO take: the real problem isn't the frontier model you let in the front door - it's the vetted software that quietly became AI-enhanced after you accepted the risk. Excel with Copilot bolted on is Clippy on steroids. Can you disable it, can you cancel, can you get a refund, and what's your recourse when the vendor can't tell you where your data went? The flip side is real upside: Rubrik's new Code Guardian points a Claude Mythos 5 harness at an air-gapped copy of your repo and chains small, unremarkable findings into validated attack paths - three CVSS 3.0s become a 9.8. That same AI-assisted discovery is why Microsoft shipped 974 CVEs in a single September Patch Tuesday, and why "patch for patch's sake" is officially dead. Is the cure worse than the disease when the fix breaks your ERP?   An Anthropic researcher quit after six weeks at Anthropic and three years in pretraining, said AI could kill us all by 2030, and Chris is here to say the emperor has no evidence. https://www.cnbc.com/2026/09/09/anthropic-researcher-quits-ai-safety.html https://www.forbes.com/sites/siladityaray/2026/09/09/anthropic-alignment-lead-warns-ai-could-kill-all-humans-as-researcher-quits/ Jacob Coxon's resignation thread hit 70 million views, Anthropic's own Alignment Science Lead Evan Hubinger publicly agreed with the >10% extinction estimate, and Congress started drafting. Chris isn't buying it: a whistleblower produces evidence a company tried to bury, and Coxon produced conjecture. Every doomer prediction so far has missed - no mass AI job losses, no water crisis, no energy apocalypse - and the scariest thing frontier agents have actually done is break into another lab to cheat on a test, which is high school antics, not an extinction event. Ben wants the smoking gun: what spooked you, what's the roadmap from lost agent control to dead planet? Both hosts land on human-in-the-loop as the real backstop: Robinhood makes Chris confirm an agentic trade three times, and poisoning a water plant still runs into a dozen downstream checks and someone eventually testing the water. Meanwhile the robots at the Chinese Robot Olympics can't stop running or climb stairs. The more likely motive is regulatory capture - write the RFP, win the deal, then pull the ladder up on open-weight competitors while China ignores the pause entirely, exactly like it ignored Paris while firing up a coal plant a week. Same playbook as Uber lobbying for a human in every driver's seat. AI is a nail gun, not an emerging god.   Dad Joke of the Week (DJOW)   Find the hosts on LinkedIn: Chris - https://www.linkedin.com/in/chlouie/ Ben - https://www.linkedin.com/in/benjamincorll/

In today's Run the Numbers, CJ sits down with Blake Saunders, founder and managing director at Core Advisors (an investment bank focused on media) and founder of The Joint, to go deep on how media companies actually make money — and how that's changing fast.If you're anywhere near advertising, media, or content monetization, this one's a masterclass.—SPONSORS:Rillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer posts 98% of transactions directly to its ERP, with the remaining 2% routed to a human for review. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtnRightRev is a revenue recognition platform built for the AI economy, helping finance support usage-based pricing, credits, hybrid contracts, seats plus consumption, and whatever commercial model comes next. It gives product teams the freedom to keep innovating without outdated revenue systems slowing them down. Learn how RightRev can help at https://rightrev.com/cjEY works with high-growth tech companies to navigate the messy realities of scaling—from regulatory requirements to IPO readiness. By helping teams get it right early and often, EY lets founders stay focused on building while reducing risk as they grow. Learn more at https://www.ey.com/techstartups—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNGuest: linkedin.com/in/blakesaundersCompany: https://coreadvs.com/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Cold Open and Intro1:17 Welcome Back: Meet Blake Saunders3:11 What Does "Media" Even Mean Today?3:24 AI and LLMs6:13 How Media Companies Make Money7:32 Subscriptions vs. Ads vs. Events8:54 Why Events Are the Riskiest Ad Dollar9:48 B2B vs. B2C14:25 Why Advertising Gets Such a Bad Rap17:58 The Hulu Paradox20:50 Built to Hold vs. Built to Sell27:10 Content Decay and the Monetization Mismatch29:08 Are IP Libraries Becoming Valuable34:39 How Big-Name Podcast Deals Get Structured37:50 Bundling, Unbundling, and Subscription Fatigue39:08 The Bending Spoons Trade40:20 Inside a Private Equity Value Creation Plan41:56 The Content-to-Commerce Playbook44:50 How Narrative-Driven Is Media M&A?46:49 7 Moments a Deal Feels Dead49:00 Farewell