Podcasts about Benchmarking

Busting gen AI fears in the workplace requires education, transparent leadership and early success stories. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about myth-busting Gen AI fears to create a culture of confidence.This article forms the basis for this episode: https://disasteravoidanceexperts.com/myth-busting-gen-ai-fears-to-create-a-culture-of-confidence/

Successful AI transformation depends not only on technology but also on clear, consistent, multi-channel communication that keeps employees informed, engaged, and involved in the change process. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why your employees aren't hearing you on Gen AI transformation.This article forms the basis for this episode: https://disasteravoidanceexperts.com/why-your-employees-arent-hearing-you-on-gen-ai-transformation/

In this episode of Inside the Pod, host Ben Pike speaks to PGRO Research Agronomist Erin Matlock about the PGRO's Pulse Performance Network, which was launched at Cereals on 11 June.PGRO will establish the Pulse Performance Network (PPN) this autumn, marking a significant new chapter for crop benchmarking and analysis for pea and bean growers. Following 10 successful years of the pulse yield enhancement networks (YENs) under ADAS, the PGRO will create a new structure and a sharpened focus on delivering practical, farm-ready insights for today's growers.Benchmarking has a strong reputation for bringing together growers, agronomists, researchers, and industry partners to push the boundaries of crop productivity, environmental performance, and grain quality.Under PGRO's leadership, the network aims to introduce new tools and approaches designed to make participation easier and more valuable.The goal is not just to measure performance, but to ensure every dataset collected translates into something meaningful, whether that's improving yield efficiency, enhancing crop quality, or reducing environmental impact. The PPN aims to turn data into decisions.By simplifying participation, strengthening collaboration, and focusing on actionable insight, the PPN aims to ensure every participant walks away with knowledge that can be applied directly to their farming system. This evolution will support both growers and the industrial supply chain as the sector works towards greater productivity, consistency, and resilience in UK pulse crops.To support a more streamlined approach, the PGRO has developed a dedicated PPN app that will allow participants to record crop management information directly in the field throughout the season.The PPN will officially open for applications in September.To find out more, head to the PGRO website at pgro.org

Some listener questions come in and just HAVE to be answered. This was the case with a question that came in from longtime friend of the show, Dr. DM himself, Jason. His son's school D&D club was planning a seriously epic finale to multiple campaign tables in a stupendous one-shot. Everything was gong well until the head DM brought their BBEG… we'll let Jason tell you the rest.In this episode, Tony, Chris, and Dave sit down to discuss what makes a good finale, a good BBEG, and best practices for collaborating with multiple DMs. Not surprisingly, it always comes down to communication. 1:50 Dr. DM's question about an insane BBEG for his son's school D&D Club Finale.7:00 The concept of the finale game sounds AWESOME! But if you're doing a collaboration, you have to collaborate.8:45 Benchmarking when creating homebrewed monsters.10:00 The BBEG should matter in each of the separate campaigns storylines.11:05 In our Curse of Strahd finale, the players mowed through 2000 hit points in a session… that's still 128,000 to go.14:25 Monsters aren't just bags of hit points to soak up damage.20:30 With collaborative storytelling, keep lines of communication open. 22:15 Encounters and finales are meant to be challenging and epic… not impossible. Make it so that they have to really think their way through the encounter, not just swing their biggest attack every time.30:05 In the end, it's always about communication around the table and behind the screen.31:55 What is the theme and story for the finale?34:15 “Appropriately-Sized Encounters.” If there is no win condition, then you're just whipping on your players.37:35 A finale, even if it spans different worlds, should matter to the players in each of their individual campaigns as well.40:15 A campaign that wipes in a TPK isn't necessarily as cool as you think it might be.43:00 Final Thoughts.

Hast du schon mal Kundenfeedback, Service-Tickets oder Marktberichte mit einer generativen KI analysiert und dich gefragt: „Kann ich diesen Ergebnissen eigentlich trauen?“ Die harte Wahrheit lautet: Wahrscheinlich nicht. Wer generative Sprachmodelle für statistische Analysen einsetzt, erhält oft Ergebnisse, die einem digitalen Münzwurf gleichen. Warum das kein Problem der Software-Version, sondern ein grundlegendes Architektur-Problem der Technologie ist, erfährst du in dieser Episode. Ich habe Lukas Kauderer von licili eingeladen. Er hat ein umfassendes internes Benchmarking mit über 3.000 echten Kundenbewertungen durchgeführt und bringt nackte Zahlen mit. Wir räumen komplett auf mit dem aktuellen Berater-Buzzword-Bingo rund um Künstliche Intelligenz – direkt, sachlich und pragmatisch. In dieser Folge erfährst du: Das 52%-Problem: Warum derselbe Prompt mit denselben Daten beim zweiten Durchlauf völlig andere Ergebnisse liefert. Der Reihenfolge-Effekt: Wie eine bloße Randomisierung deiner Kundendaten die Analyse-Architektur komplett aus dem Tritt bringt. Praktikant vs. Pinnwand: Eine einfache Metapher, die den Unterschied zwischen Generative AI und „Understanding AI“ sofort klarmacht. Das Prisma-Modell: Wie eine intelligente Zweiteilung von strukturellen und inhaltlichen Ebenen dir endlich verlässliche Fakten für deine Geschäftsentscheidungen liefert. Hör jetzt rein und erfahre, wie du deine Daten verlässlich analysierst, ohne auf statistische Luftschlösser hereinzufallen.

Welcome to Nerd Alert, a series of special episodes bridging the gap between marketing academia and practitioners. We're breaking down highly involved, complex research into plain language and takeaways any marketer can use. In this episode, Elena and Rob explore the first large-scale benchmarking study of distinctive brand assets, and the results challenge some long-held assumptions about which assets actually stick in consumer memory. Topics covered:[01:35] "Shape-Based Assets Are Strongest: Benchmarking Distinctive Brand Asset Performance Across Industries"[02:55] What is a distinctive brand asset?[03:30] Fame vs. uniqueness: the two dimensions of distinctiveness[04:15] Why color is the weakest asset type[05:35] The bizarreness effect[06:00] When narrative assets outperform visual onesTo learn more, visit marketingarchitects.com/podcast Resources: Phua, P., Bali, L., Anesbury, Z., & Sharp, B. (2026). Shape-based assets are strongest: Benchmarking distinctive brand asset performance across industries. International Journal of Advertising. https://doi.org/10.1080/02650487.2026.2637295 Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

AI is reshaping work by expanding roles, increasing multitasking, and accelerating productivity—but companies must set healthy guardrails and rebuild entry-level pathways as AI automates traditional starter tasks. That's the key take-away message of this episode of the Wise Decision Maker Show, which describes how generative AI is reshaping work exactly as expected.This article forms the basis for this episode: https://disasteravoidanceexperts.com/generative-ai-is-reshaping-work-exactly-as-expected/

Employer Rating – mehr als nur ein Siegel: In dieser Folge von HR Ungeschminkt blicken wir hinter die Kulissen von Arbeitgeberanalysen und Rankings

AI feedback drives continuous improvement in Gen AI tools by helping organizations adapt faster, improve user satisfaction, boost efficiency, and create a culture where employee insights lead to smarter innovation and better results. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why Gen AI feedback is the real advantage.This article forms the basis for this episode: https://disasteravoidanceexperts.com/forget-algorithms-gen-ai-feedback-is-the-real-advantage/

Unser heutiger Gast Lukas Köhler prägte als klimapolitischer Sprecher der FDP sowie später als stellvertretender Fraktionsvorsitzender während der Ampelkoalition zentrale Debatten rund um Klima, Energie und Wirtschaft. In dieser Rolle verantwortete er ein breites Themenspektrum – von Arbeit und Sozialem über Gesundheit und Tourismus bis hin zu Mittelstand, Handwerk sowie Klima- und Energiepolitik – und war eng in politische Entscheidungsprozesse eingebunden. Heute bringt er diese Erfahrung als Head of Energy Market Strategy and Regulation bei Capgemini in die strategische Beratung ein. Mit seiner Kombination aus politischem Praxiswissen und analytischem Blick auf Energiemärkte ordnet er aktuelle Entwicklungen fundiert ein. Umso mehr freuen wir uns, mit ihm über die zentralen Herausforderungen und Zukunftsfragen der Energie- und Klimapolitik zu sprechen.   Themen der Folge: Spotmarktpreise volatil, Terminmarktpreise konstant hoch  Ministerkonferenz gegen zentrale Punkte von Reiches Energie-Reformplänen  Neue Benchmarks für freie Zuteilung beim ETS1  E-Auto-Förderung an Start gegangen  Gutachten der KlimaUnion sieht GModG als verfassungswidrig  Offshore-Windprojekte geraten durch Ausstiegspläne von TotalEnergies und Unsicherheiten bei BP unter Druck  Deutschland in Q1 2026 wieder Stomexporteur  Klimaszenarien: Streichung des Worst Case Szenarios  Expertenrat für Klimafragen widerspricht Ergebnis des Projektionsberichtes  BNetzA: Batteriespeicher behalten Netzentgelt-Privileg   EU-Kommission plant harte Energie-Vorgaben für Rechenzentren  Zweite dänische Ausschreibungsrunde für CCS-Projekte abgeschlossen  Quellen: BWO (2026): Pressemitteilung: Rückgabe von Offshore-Windflächen: BWO legt Vorschlag zur Sicherung des Ausbaupfads vor  DER SPIEGEL (2026): Windenergie: Deutschland erstmals seit 2023 wieder Strom-Nettoexporteur  DIE ZEIT (2026): Energieministerkonferenz: Länder stellen sich gegen Reiches Energie-Reformpläne  EGU (2026): The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)  energate messenger⁺ (2026): EU-Kommission plant harte Energie-Vorgaben für Rechenzentren  EnMK (2026): Beschlüsse der 7. Energieministerkonferenz.pdf  European Commission (2026): Commission presents updated EU Emissions Trading System benchmarks for consultation  European Commission (2026): Strengthening Europe's Tech Sovereignty  Expertenrat für Klimafragen (2026): Einhaltung des Emissionsbudgets bis 2030 nicht bestätigt  Förderzentrale Deutschland (2026): E-Auto-Förderung des Bundesumweltministeriums  LinkedIn Kanal: Capgemini Invent  Matthias Krey - LinkedIn  SZ (2026): Klimaszenario RCP8.5. Worst Case wird von Forschern gestrichen – Erfolg durch erneuerbare Energien  Tagesschau (2026): Energiewende: Riesigen Offshore-Projekten droht das Aus  Kontakt: LinkedIn (Redispatch)

Welcome to the What's Next! Podcast with Tiffani Bova. I'm thrilled to welcome you back to a series I did with my dear friend, Roger Martin. He's the author of the amazing book, Playing to Win. In this episode, we're rethinking Warren Buffett's "moat" metaphor for competitive advantage.   THIS EPISODE IS PERFECT FOR…leaders, entrepreneurs, strategists, and innovators who want to build a sustainable competitive advantage instead of competing in a race to the bottom.   TODAY'S MAIN MESSAGE…most companies think about competitive advantage as something static, or what Warren Buffett famously coined the "moat" that protects the business from competitors. But Roger argues that this metaphor falls short in this day and age and introduces a more dynamic way to think about strategy: moving through "rooms" ahead of competitors. Roger explores why the best companies stay curious, how customer observation leads to innovation, why benchmarking can actually hurt differentiation, and how asking different questions is often the foundation of breakthrough growth.   KEY TAKEAWAYS: Competitive advantage must evolve constantly, it can't stay static. Customer observation often reveals opportunities data alone misses. Benchmarking competitors too closely can limit innovation. Sustainable growth comes from continuously moving to the "next room."   WHAT I LOVE MOST…Roger's perspective that competitive advantage is about continually evolving faster than your competitors. His "rooms" metaphor is such a powerful way to visualize innovation, customer learning, and staying ahead by asking smarter questions over time.   Running Time: 30:44   Subscribe on iTunes     Find Tiffani Online: LinkedIn Facebook X    Find Roger Online: LinkedIn Website   Show Summary on Substack

Discover how the future of TV advertising is shifting toward outcome-based measurement and AI-driven optimization coming out of the 2026 upfronts . iSpot CEO Sean Muller joins the show to break down their fundamental "Creative + Audience = Outcome" equation, the integration of their new AI platform Sage, and why the industry must prioritize trusted, neutral data over ongoing currency debates. Key Highlights

What if the biggest threat to your growth is the comfort you already earned?In this episode, Kevin and Alan challenge the idea that gratitude alone will keep you grounded, focused, and moving forward. They break down how complacency starts, why success can quietly lower your standards, and how ambition, measurement, humility, and consistency protect long-term progress.This is a clear look at the difference between being grateful and getting comfortable. If your results matter, your standards need to be reviewed, not assumed. Check them before comfort starts making decisions for you._______________________Book Alan's Business Breakthrough Session. Your first 30-minute coaching call is FREE. Learn how to prioritize success and let your quality of life become the byproduct. - https://calendly.com/alanlazaros/30-minute-breakthrough-sessionJoin the "Next Level Fitness Accountability Group" – Reach out to Kevin or Alan on Instagram:Kevin: https://www.instagram.com/neverquitkid/Alan: https://www.instagram.com/alazaros88/_______________________NLU is not just a podcast; it's a gateway to a wealth of resources designed to help you achieve your goals and dreams. From our Next Level Dreamliner to our Group Coaching, we offer a variety of tools and communities to support your personal development journey.For more information, check out our website and socials using the links below.

On this episode of Chit Chat Stocks, we go through another Ryan Research Episode covering MSCI Inc. We discuss:(00:00) Introduction(03:15) The Importance of Indexes and Benchmarking(06:12) Challenges in Building and Maintaining Indexes(09:25) Revenue Generation and Business Model of MSCI(12:19) The Role of AI in Index Management(15:22) Future Growth and Market Trends for MSCI(31:33) The Role of MSCI in the ETF Market(33:43) Growth Potential and Market Trends(35:01) Competitive Advantages of MSCI(40:44) Comparing Moats: Stock Exchanges vs. Index Providers(45:50) Valuation Insights and Future Projections(51:52) Investment Decisions and Market Considerations*****************************************************Subscribe to our newsletter, Emerging Moats: emergingmoats.com *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Check out Value Spotlight: Stockwriteup.com *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: ⁠https://fiscal.ai/chitchat *********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

Benchmarking and information sharing can be procompetitive, but modern data tools can also make it easier for rivals to coordinate on prices. But when does benchmarking cross the line into unlawful antitrust conduct? Norman Lee Morris, Attorney for Mississippi Attorney General, joins Panos Dimitrellos and Alysha Pannu to discuss the evolution of antitrust enforcement, the economic risks posed by real-time algorithmic pricing and data aggregation, and what recent cases like RealPage and Agri Stats reveal about enforcement priorities. Listen to this episode to learn more about how antitrust law applies to information exchanges, and why the economics of benchmarking matter so much in today's markets. With special guest: Norman Lee Morris, Attorney for Mississippi Attorney General Hosted by: Alysha Pannu, Osler Hoskin & Harcourt and Panos Dimitrellos, Secretariat Economists

Generative AI reprices knowledge work by turning tasks that once required costly outsourced labor into low-cost model-driven workflows, reshaping hiring, budgeting, and productivity across industries. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses how AI reprices knowledge work.This article forms the basis for this episode: https://disasteravoidanceexperts.com/ai-is-twenty-five-times-cheaper-the-number-that-reprices-knowledge-work/

With the advent and adoption of AI search, consumers' online research and discovery behaviours are shifting. How can brands win authority in this new space?Last month at our annual Future of Brands conference, industry leaders convened in London to unpack the challenges facing brand marketers in a rapidly changing media ecosystem. One such nascent problem for marketers and their agencies: how brands are showing up in large-language models (or LLMs).Laura Kell is chief data and product officer at Havas Media Network. Marcos Angelides is MD of L'Oreal Lab and head of AI operations at Publicis Media. Olya Dyachuk is global media and data director at Heineken.The trio sat down with host Jack Benjamin to discuss early efforts in generative engine optimisation, how AI search is forcing agencies to reconsider team organisation, the importance of benchmarking how your brand shows up in LLMs, and what marketers need from AI companies as the likes of OpenAI embrace advertising.Highlights:2:05: Where brands and agencies are in their GEO journey: Benchmarking and auditing, testing and learning11:58: Does GEO require bringing search, social and PR teams together? How agencies should reorganise15:29: The value of LLMs for audience insights17:17: The consumer trust issue when manipulating LLM results or placing ads in chatbots24:17: Brands' relationships with AI companies like OpenAI vis-à-vis GoogleRelated articles:Takeaways from the Future of Brands 2026: AI, culture and measurement take centre stageAI optimisation: The new channel brands can't afford to overlookHavas Media Network launches ‘generative engine optimisation' toolAgency groups' AI platforms, explained

This episode recorded live at the Becker's Spring 2026 Chief Pharmacy Officer Summit features Ryan Telford, VP, Portfolio Strategy, Accelerate Pharmacy Solutions. He shares insights from the Pharmacy Outlook 2026 report, highlighting key enterprise metrics, strategies to reduce specialty pharmacy leakage, and how health systems can prepare for the growing impact of cell and gene therapies.This episode is sponsored by Accelerate Pharmacy Solutions.

AI is making creative work faster and leaner by turning brainstorming into an instant, AI-powered collaboration—shifting human value from drafting ideas to directing, refining, and applying original taste. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how AI is making the one-person creative studio a reality.This article forms the basis for this episode: https://disasteravoidanceexperts.com/ai-is-making-the-one-person-creative-studio-a-reality/

Measuring your Chinese progress is a double-edged sword: it can keep you motivated, but it can also tempt you to chase numbers that don't reflect real progress.#learnchinese #progress #motivation #measure #benchmarkLink to article on Hacking Chinese: Effective progress or experience points? The double-edged sword of measuring your Chinese learning: https://www.hackingchinese.com/measurable-progress-is-a-double-edged-sword/Benchmarking progress in Chinese to stay motivated: https://www.hackingchinese.com/benchmarking-progressHow to get past the intermediate Chinese learning plateau: https://www.hackingchinese.com/how-to-get-past-the-intermediate-chinese-learning-plateau6 benefits of learning Chinese through sports: https://www.hackingchinese.com/practising-sports-to-learn-chineseSpaced repetition software: What it is and how to use it to learn Chinese: https://www.hackingchinese.com/an-introduction-to-spaced-repetition-softwareDuolingo CEO Luis von Ahn wants you addicted to learning: https://www.theverge.com/24267841/luis-von-ahn-duolingo-owl-language-learning-gamification-generative-ai-android-decoderThe importance of counting what counts when learning Chinese: https://www.hackingchinese.com/about-the-importance-of-coutning-what-countsUsing HSK as a roadmap to learning Chinese: Pros and cons: https://www.hackingchinese.com/using-the-hsk-as-a-roadmap-to-learning-chineseThe CEFR Levels: https://www.coe.int/en/web/common-european-framework-reference-languages/level-descriptionsCEFR self-assessment grid: https://rm.coe.int/CoERMPublicCommonSearchServices/DisplayDCTMContent?documentId=090000168045bb52CEFR companion volume: https://www.coe.int/en/web/common-european-framework-reference-languages/cefr-companion-volume-and-its-language-versions6 challenges students face when learning to read Chinese and how to overcome them: https://www.hackingchinese.com/6-challenges-students-face-when-learning-to-read-chinese-and-how-to-overcome-themSeeing through the illusion of advanced Chinese learning: https://www.hackingchinese.com/the-illusion-of-advanced-learning-and-what-to-do-about-itHow long have you studied Chinese? 290 years or 58 992 hours! https://www.hackingchinese.com/how-long-have-you-studied-chinese-290-years-or-58-992-hoursApproaches to reading in Chinese: https://www.hackingchinese.com/approaches-to-reading-in-chineseMore information and inspiration about learning and teaching Chinese can be found at https://www.hackingchinese.comMusic: "Traxis 1 ~ F. Benjamin" by Traxis, 2020 - Licensed under Creative Commons Attribution (3.0)

AI removes friction so in-office time focuses on collaboration and decisions. Leaders who pair AI with intentional design make the office meaningful by turning presence into high-value, human, productive workdays. That's the key take-away message of this episode of the Wise Decision Maker Show, which describes how AI can make the office meaningful.This article forms the basis for this episode: https://disasteravoidanceexperts.com/how-ai-can-make-the-office-meaningful/

Frontier AI is advancing faster than oversight, expanding risks like deepfakes, cyber threats, and autonomy failures, making strong governance, security, and human-centered controls essential to prevent compounding real-world harm. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about AI safety falling behind frontier AI capabilities.This article forms the basis for this episode: https://disasteravoidanceexperts.com/safety-is-falling-behind-frontier-ai-capabilities/

"Don't speak about category savings because that's procurement lingo. We need to speak about gross margin expansion at the end-product level." - Sammeli Sammalkorpi, Co-Founder and CEO, Sievo Spend analytics has moved well beyond spreadsheets, but most organizations are still guessing about what 'good' performance looks like.  When Sievo analyzed $1.4 trillion of procurement spend, the findings were both confirming and, in some places, eye-opening. With the business landscape changing rapidly, adaptation backed by data is more important than ever. In this Art of Procurement podcast episode, Philip Ideson and Kelly Barner are joined by Sammeli Sammalkorpi, Co-Founder and CEO of Sievo. Sammeli details Sievo's approach to benchmarking, the surprising patterns in the data, and where CPOs may be missing untapped value. He also shares practical ways to reframe procurement's business impact, anchoring spend to revenue, and challenging old assumptions about control. The conversation covers fresh ways to benchmark your team's performance, build actionable industry comparisons, and rethink what matters in spend analytics. In this episode, Sammeli discusses: Why even the most mature organizations still miss large opportunities How to identify the hidden business impact of spend spikes and payment terms The importance of comparing industry benchmarks to spot real, actionable gaps Rethinking "control" in procurement: Is a PO always required? How clean data unlocks speed and better decisions Links: Sammeli Sammalkorpi on LinkedIn State of Spend Report 2025 Subscribe to the AOP Newsletter Subscribe to Art of Procurement on YouTube  

Strategic Technology Consultation Services This episode of The Modern .NET Show is supported, in part, by RJJ Software's Strategic Technology Consultation Services. If you're an SME (Small to Medium Enterprise) leader wondering why your technology investments aren't delivering, or you're facing critical decisions about AI, modernization, or team productivity, let's talk. Show Notes "The first measurement could be actually someone from the, so-called business, stating that, "oh gosh, this is so slow." That would be like the coarse grained measurement that you can sometimes receive for free"— Szymon Kulec Hey everyone, and welcome back to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. I'm your host Jamie Taylor, bringing you conversations with the brightest minds in the .NET ecosystem. Today, we're joined by Szymon Kulec to talk about systems programming in .NET. But that's just the surface level detail of what we talk about. We do a deep-dive into some of the corners of .NET and C# that a lot of engineers hardly ever get the chance to cover. This is more than your standard, surface level conversation about C# and .NET. "Maybe sometimes you will actually create a thread. Something that you don't do nowadays in .NET, because you know what you are doing and you want to own the specific thread for or your own specific purpose."— Szymon Kulec Along the way, we talked about how developers who are using C# and .NET should think about learning the deeper levels of the language and how things work under the covers. Knowing how the JIT works with your code will help you to write more performant code, for sure. Before we jump in, a quick reminder: if The Modern .NET Show has become part of your learning journey, please consider supporting us through Patreon or Buy Me A Coffee. Every contribution helps us continue bringing you these in-depth conversations with industry experts. You'll find all the links in the show notes. Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-8/measure-twice-cut-once-benchmarking-hot-paths-and-the-chainsaw-of-unsafe-code-with-szymon-kulec/ Useful Links: Szymon on LinkedIn Szymon's blog Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast. Music created by Mono Memory Music, licensed to RJJ Software for use in The Modern .NET Show. Editing and post-production services for this episode were provided by MB Podcast Services.

Benchmarking is one of the most powerful—and underused—tools in a brewery. In this episode, we break down how brewery owners and managers can turn complex financial statements into simple, actionable scorecards that drive better decisions.You'll learn how top breweries use key metrics, industry benchmarks, and weekly financial meetings to identify profit leaks early, improve margins, and strengthen cash flow. Instead of waiting for month-end financial reports, breweries can install a simple financial operating system that provides real-time visibility into the numbers that truly matter.Key TakeawaysWhy financial statements alone aren't enoughMonthly reports are often backward-looking and complex. A simple benchmark scorecard provides real-time visibility and early warning signals.The small set of metrics that truly drive brewery profitabilityNumbers like EBITDA, debt service coverage, gross margin, and key cash-flow drivers help determine whether the business model is sustainable.How to build a simple weekly financial scorecardFocus on just 3–5 key metrics per department to track performance, identify gaps, and drive accountability across the team.The Financial Operating System breweries should installThe cycle is simple: set targets → measure performance → identify gaps → take action → report results weekly.How leading breweries use benchmarking to stay aheadTop breweries track margins, cash, sales velocity, and marketing ROI to make faster decisions and protect profitability.ResourcesSign up for the Brewery Profit Brief -  Clear Numbers, Cash Flow Clarity, and One Practical Action to Improve Your Brewery's Profit Get the free mini-course Brewery Key Performance Indicators - scorecards, templates and best practices to improve your most important numbersTake the Brewery Financial Health Check -  A quick self-assessment that shows where your brewery stands on the key drivers of profitabilityReady to transform financial results in your beer business? Learn more about the Beer Business Finance Association, a network of owners and managers working together to build more profitable companies. 

Transparent, frequent communication about Gen AI progress, challenges, and feedback turns uncertainty into trust, reducing AI fears and boosting employee engagement. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why your employees feel Gen AI fears and how to win them over.This article forms the basis for this episode: https://disasteravoidanceexperts.com/why-your-employees-feel-gen-ai-fears-and-how-to-win-them-over/

Join us for Part 1 of a 3-part series as Du'An Lightfoot (Senior AI Engineer at Akamai) breaks down everything you need to know to get started running AI models locally on your own hardware. Du'An walks through the fundamentals of local AI - from understanding why you'd want to run models privately (data ownership, air-gapped environments, IP protection) to the hardware concepts that make it possible. You'll learn how inference actually works under the hood, why GPUs matter for AI workloads, how to choose and quantize models for your hardware, and how to get up and running with tools like Ollama. This is Part 1 of a 3-part series - future episodes cover serving models via API and distributing inference at the edge with Kubernetes. Timestamps 0:00 Cold Open: Why Local AI? 0:26 Welcome & Introduction 1:30 Following Up on the Frontier Models Episode 2:25 Du'An's Background & AI Inference at Akamai 3:49 What If You Wanted to Own Your Data? 5:00 Local AI vs Cloud AI: A Different Layer of the Stack 5:47 Why GPUs Matter: The Nvidia Story 7:03 CPU vs GPU: Serial vs Parallel Processing 8:28 Model Weights & Quantization Explained 12:45 Choosing the Right Model for Your Hardware 18:22 Getting Started with Ollama 24:16 Live Demo: Running Your First Local Model 30:41 Hardware Recommendations & Requirements 36:52 Hugging Face & Finding Models 42:18 Performance Tips & Benchmarking 48:35 Use Cases: When to Go Local vs Cloud 1:01:30 Live Demo: Claude Put-in-Work Repo 1:11:17 Bonus: Building a Deck with Co-work Live 1:16:36 Preview: Episodes 2 & 3 1:17:17 Wrap-up How to find Du'An: https://www.duanlightfoot.com/ https://github.com/labeveryday/ Links from the show: https://ollama.com/ https://apxml.com/ https://localllm.in/ https://huggingface.co/ https://github.com/labeveryday/claude-put-in-work https://claude.ai/

Ben Diaz-Clegg, associate director, analytics, AM Best, discusses a Best's Special Report that finds the stability of macroeconomic conditions through 2024 and 2025, in addition to generally robust levels of profitability in many segments, underpinned the strengthening of key balance sheet strength fundamentals.

Seit Jahren liegt Estland bei der Digitalisierung des Staates vorne. Seit Jahren stellen die Esten regelmäßig ihre Technologie und Verfahren in Deutschland vor. Seit Jahren bieten die Esten ihre Software frei verfügbar an. Was zur Frage führt: Wieso übernehmen wir nicht eine solche etablierte und seit Jahren gut funktionierende Lösung?Das Muster ist in allen Politikbereichen stets das gleiche: Ein Problem wird erkannt. Eine Kommission wird eingesetzt. Die Kommission bestätigt, was bereits die Vorgängerkommission festgestellt hat. Die Ergebnisse werden in Schubladen abgelegt oder bis zur Unkenntlichkeit zerredet und verwässert. Dann wird eine neue Kommission eingesetzt. Was immer auch auf der Agenda steht, die Politik macht sich daran, das Rad neu zu erfinden. In der Unternehmenswelt gibt es eine bewährte Alternative: Benchmarking. Systematisch von den Besten lernen, erprobte Lösungen übernehmen – wie der Kauf einer Standardsoftware statt einer teuren Eigenentwicklung. Auch der Staat könnte von dieser Methode profitieren. Diesen Ansatz stellt Dr. Jan Schnellenbach, Professor für Volkswirtschaftslehre an der Brandenburgischen Technischen Universität Cottbus-Senftenberg, im Gespräch mit Daniel Stelter vor.Hinweis – ABSTURZ – So retten wir Deutschland, das neue Buch von Daniel Stelter, erscheint am 20. April 2026. Jetzt bestellbar bei Thalia, Amazon, geniallokal und überall, wo es Bücher gibt.HörerserviceDas INSM Behörden-Digimeter 2026: https://is.gd/2zOYMl Studie X-Road für Deutschland – Lehren aus der estnischen Verwaltungsdigitalisierung: https://is.gd/D68H2QStudie Von den Besten lernen von Prof. Jan Schnellenbach für die Friedrich-Naumann-Stiftung: https://is.gd/8i4lgx beyond the obvious – Neue Analysen, Kommentare und Einschätzungen zur Wirtschafts- und Finanzlage finden Sie unter think-bto.com.Newsletter – Den monatlichen bto-Newsletter abonnieren Sie hier.Redaktionskontakt – Wir freuen uns über Ihre Meinungen, Anregungen und Kritik unter podcast@think-bto.com.Handelsblatt – Ein exklusives Angebot für alle bto-Hörer*innen: Testen Sie Handelsblatt Premium 4 Wochen für 1 Euro. Mehr unter: handelsblatt.com/mehrperspektivenWerbepartner – Informationen zu den Angeboten unserer aktuellen Werbepartner finden Sie hier. Hosted on Acast. See acast.com/privacy for more information.

Gen AI initiatives succeed when training evolves continuously—using feedback and data to stay relevant, practical, and aligned with real business needs, driving higher engagement, skills application, and measurable impact. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how feedback-driven training could save your Gen AI initiatives.This article forms the basis for this episode: https://disasteravoidanceexperts.com/feedback-driven-training-could-save-your-gen-ai-initiatives/

Cameron is joined by Mikyla Race, a senior lead practice success partner at Moxie, and they discuss Mikyla's journey in the aesthetics industry, her transition to Moxie, and the importance of operational insights for practice owners. The conversation covers common mistakes made by early practices, the significance of growth and scalability, and the necessity of implementing effective marketing systems. They also delve into the value of CRM and lead tracking, emphasizing the importance of human connection in patient interactions. Cameron and Mikyla talk about the critical aspects of patient connection, revenue generation, and the importance of high-performing consultations in the aesthetics industry. Mikyla emphasizes the need for providers to build trust through emotional connections and outlines strategies for improving patient retention and lifetime value. She shares insights on transitioning from a provider to an operator mindset and highlights Moxie's comprehensive solutions for MedSpas. The discussion concludes with a look at the future of aesthetics, focusing on wellness and regenerative medicine.Listen In!Thank you for listening to this episode of Medical Millionaire!Takeaways:Mikyla Race's journey from hairstylist to aesthetics consultant.The importance of starting slow and focusing on core business.Common mistakes include scaling too fast and not understanding the market.Moxie helps practices grow intentionally and thoughtfully.Benchmarking is crucial for knowing when to expand services.Marketing systems should be consistent and unique to each practice.Speed to lead is essential for converting potential clients.Human connection enhances patient experience and retention.Customer acquisition costs are high; nurturing leads is vital.Practices should focus on what sets them apart in a saturated market. Patients want to be heard and seen.Initial experiences are crucial for building trust.Providers should connect on a personal level.Retention is more cost-effective than acquisition.Follow-ups are essential for patient retention.Consultations should be structured and thorough.Emotional connections enhance patient relationships.Moxie offers comprehensive solutions for med spas.The aesthetics industry is rapidly evolving.Wellness and regenerative medicine are the future of aesthetics.Medical Millionaire: The Blueprint for Scaling a World-Class Medical Aesthetics PracticeWelcome to Medical Millionaire, the go-to podcast for forward-thinking Medspa owners, Medical Aesthetics leaders, Plastic Surgery & Dermatology practices, Concierge Wellness clinics, and Elective Healthcare entrepreneurs who are ready to scale with intention and operate like a true, high-performing business.If you're building, growing, optimizing, or preparing to exit your aesthetics or wellness practice, this show is your competitive advantage.Hosted by Cameron Hemphill Your Guide to Sustainable, Scalable Growth Your host, Cameron Hemphill, is one of the most trusted growth strategists in Medical Aesthetics and Elective Wellness.With over 10 years in the industry, Cameron has helped scale 1,000+ practices and more than 2,300 providers, working alongside the most recognized KOLs, national brands, EMRs, tech companies, and private equity groups, shaping the future of aesthetics. From marketing to operations, from finance to leadership, Cameron brings a real-world, data-driven perspective on what it takes to turn a practice into a powerful business engine.What This Podcast Is All About: Each episode takes you behind the scenes of the fastest-growing practices in the country, revealing the systems, strategies, and mindset required to win in today's Medical Aesthetics landscape.Expect tactical insights, step-by-step frameworks, and conversations with:Industry thought leadersTop injectors & medical directorsEMR & tech innovatorsOperations expertsMarketing strategistsPrivate equity & M&A advisorsWellness and longevity pioneersThis is where aesthetics, business, technology, and wellness converge. What You'll Learn on Medical Millionaire Every week, you'll access expert guidance to help you scale profitably and predictably, including:Marketing & Brand PositioningCRM + Lead Management SystemsPatient Acquisition & ConversionEMR Optimization & Tech Stack ArchitectureSales Psychology & Consultation MasteryFinance, KPIs, and Practice EconomicsOperational Workflows & AutomationIndustry Trends Backed by Real Benchmark DataPatient Retention & Lifetime Value ExpansionMindset, Leadership & Team DevelopmentWhether you're opening your first location or running a multi-million-dollar enterprise, you'll gain the clarity and direction to grow with confidence. A Show Designed for Every Stage of Practice Growth Medical Millionaire breaks down the journey into four essential stages, showing you exactly how to move from one to the next:Startup – Build the foundation and attract your first wave of patientsGrowth – Scale revenue, expand services, and strengthen operationsOptimize – Increase efficiency, margins, and customer experienceExit – Prepare your practice for maximum valuation and acquisitionIf You're Ready to Grow, This Is Where You Start. Tune in weekly for actionable insights, expert interviews, and the exact playbooks high-performing practices use to dominate their markets. This is the podcast for Medspa owners who want more than a job; they want a scalable, profitable, industry-leading business. Welcome to Medical Millionaire.Let's build your practice into the empire it deserves to be.

The on-premise side of wine analytics has traditionally been a black hole, not covered by other data services. Somm.ai changed that when they launched in 2021, now covering ~100k on-premise accounts in the US alone. The richness of data allows Somm.ai to help their clients benchmark, prospect for new accounts, and so much more. Jeremy Hart, Co-Founder and Chief Strategy Officer of Somm.ai, explains how it is more manpower vs a platform to accelerate on-premise sales. Detailed Show Notes: Jeremy's background: restaurants, wholesale, importingTX became a major wine market during ‘08 Global Financial Crisis; it took the allocations from NY and CASomm.ai founding: end of 2019 was originally an app for people to find restaurants with wines they wanted to drink; during the pandemic (2020) pivoted to turning restaurant wine lists into retail shops (sold ~$700k of wine); did some smart menus; 2021 launched current iteration of on-premise sales analyticsCategorizes restaurants, bars, & hotels in US (100k accounts), Canada, Europe (6 countries, Germany largest w/ 3k accounts), Singapore; data updated every 2 weeksJackson Family is longest client - w/ NBA partnership, Somm.ai developed target lists around NBA stadiums to sell into~70 clients of all sizes (many large suppliers, e.g. - Terlato, Vintus, Concha y Toro, wholesalers, importers)General use cases include: Benchmarking vs peers (accounts, placements)Prospecting and lead generation (can see accounts that other distributors cover)Identify brand extensionsHelp with pricingIdentifying sales pitches for national accountsROISome clients have moved up a lot in benchmarking ranksSave money on travel, focused on the right marketsCan save manpowerPricing ~$30-70k/year avg, includes unlimited training and unlimited seats, US and Canada (other geographies are an upcharge)Product roadmap - expanding to more geographies, which can be temporary exclusivity for early partners Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Wise Decision Maker Show, Dr. Gleb Tsipursky speaks to Julia Toothacre of ResumeTemplates, who discusses why 60% of business leaders think AI will fully automate white-collar work by 2028.You can learn about ResumeTemplates at https://www.resumetemplates.com

#ThisMorning | #Benchmarking your #retirement #plan: Is an #RFP #Required under #ERISA? | Fred Reish, Ferenczy Benefits Law Center | #Tunein: broadcastretirementnetwork.com #Aging, #Finance, #Lifestyle, #Privacy, #Retirement, #wellness

AI excellence is achieved when cross-functional teams collaborate on Gen AI, combining diverse expertise to drive faster adoption, stronger buy-in, reduced risk, and sustainable business value beyond what any single department can deliver. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses how cross-functional collaboration drives Gen AI excellence.This article forms the basis for this episode: https://disasteravoidanceexperts.com/cross-functional-collaboration-drives-gen-ai-excellence/

Transparent communication of Gen AI milestones and outcomes builds trust, engagement, and shared purpose, turning challenges into lessons and employees into champions of change. This is the essence of AI truths. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about what leaders lose when they hide Gen AI truths.This article forms the basis for this episode: https://disasteravoidanceexperts.com/what-leaders-lose-when-they-hide-gen-ai-truths/

I. Imagine you run a charity which gives cows to people in the developing world. Your new boyfriend is a statistician and you want to impress him, so you've decided to look into this Monitoring and Evaluation thing he keeps going on about. So you give a bunch of people cows and then follow up a year later, and sure enough the people you gave the cows to are richer, healthier, and happier. You proudly tell this to your boyfriend and expect to reap rewards in the form of admiration, cuddles, and a ‘yes' to your marriage proposal. Your boyfriend, however, isn't impressed. What if everyone in the country is getting richer, because the country is industrializing? What if the poor people you gave cows to were having an unusually hard time, and then they got back on their feet, and your cows had nothing to do with it? Apparently, in order to get a sample that really says anything about the world, you need to randomly give cows to half the people, and then check whether the people you gave cows to are doing better than the people you didn't give cows to (a “randomized controlled trial”). This [...] --- First published: March 10th, 2026 Source: https://forum.effectivealtruism.org/posts/QsvFCcDR2TfSj32aM/the-joys-of-cash-benchmarking --- Narrated by TYPE III AUDIO.

In this heartfelt and wide-ranging episode, host Bryan reconnects with Jim Bergmann of measureQuick after nearly three years apart. The reunion is anything but ordinary — Jim opens up about a serious battle with non-Hodgkin's B-cell lymphoma that sent him through not one but two rounds of chemotherapy, ultimately requiring a cutting-edge CAR-T cell immunotherapy treatment at the Cleveland Clinic. Jim shares the remarkable medical journey of having his T cells extracted, genetically modified in a Maryland lab, and reintroduced into his body to permanently attack cancer cells. Now past the critical six-month remission milestone, Jim is back, healthy, and more motivated than ever to push the HVAC diagnostics industry forward. From his medical comeback, the conversation transitions naturally into what Jim loves most: the world of HVAC diagnostics and the evolution of measureQuick. After years of defending a per-use pricing model that the market simply didn't embrace, Jim candidly admits the old model wasn't working. With the help of business partner Eric Preston (formerly of TruTech Tools), the team overhauled the software's pricing structure in February — a move that has since driven 90%+ customer retention and accelerated growth significantly. The new focus is squarely on "time to value," streamlining workflows so technicians reach key diagnostic reports faster than ever before. A significant portion of the episode dives into how measureQuick is thoughtfully integrating artificial intelligence. Rather than chasing AI trends, Jim and his team — including AI specialist Ben Reed — took a deliberate approach: identifying the precise areas where AI genuinely helps technicians without creating distractions. The standout use case is label identification, where AI reads equipment labels and auto-populates system profiles. Jim is refreshingly candid about AI's limitations in HVAC diagnostics, explaining that the field variability of real-world systems (varying line set lengths, mismatched equipment, non-standard airflow conditions) makes purely AI-driven diagnostics unreliable. Instead, measureQuick leans on first-principle modeling and non-dimensional mathematics to generate objective, data-driven results. The episode closes with a thought-provoking discussion about the state of the HVAC industry at large. Bryan and Jim tackle the growing influence of private equity consolidation, the persistent problem of technicians skipping probe deployment, the difference between clearing faults and actually fixing them, and the importance of commissioning and retro-commissioning equipment to manufacturer design intent. Throughout it all, the conversation is anchored by a shared belief: that measuring everything — in business and on the job — is the foundation of genuine, lasting improvement. It's a must-listen for any HVAC professional or business owner who wants to understand where the industry is headed. Topics Covered Jim's cancer diagnosis: non-Hodgkin's B-cell lymphoma and the progression from standard chemo to aggressive relapse CAR-T cell immunotherapy explained: how T cells are extracted, genetically modified, and reintroduced to fight cancer permanently Jim's recovery at the Cleveland Clinic and surpassing the critical six-month remission milestone Neurotoxicity as a side effect of CAR-T therapy and what that experience was like The pivot away from measureQuick's per-use pricing model and the dramatic improvement in retention after switching The "time to value" philosophy driving measureQuick's new hybrid workflow interface How measureQuick is integrating AI — and where AI falls short in real-world HVAC diagnostics Label identification as the most practical current AI application in field diagnostics Why AI is highly sycophantic and the danger of relying on subjective, internet-sourced training data for HVAC decisions The power of measureQuick's proprietary measurement data and target zones as a foundation for AI summaries First-principle modeling and non-dimensional mathematics: why brand-agnostic diagnostics work The importance of deploying all nine probes on every air conditioning service call Benchmarking vs. commissioning vs. retro-commissioning: the three layers of equipment assessment Design temperature difference: measuring evaporator and condenser delta-T as engineering benchmarks How ECM motors mask airflow problems — and why that leads to premature motor failure and higher energy costs The two "elephants in the room": incomplete probe deployment and clearing faults without fixing them Why clearing a fault in measureQuick without addressing the root cause is like putting duct tape over a check engine light How poor installation practices in high-growth markets (Florida, Texas, Arizona, Las Vegas) have created widespread system deficiencies The role of private equity in HVAC consolidation and why many PE firms add cost without adding value Why implementing field measurement systems like measureQuick is the missing link for PE-owned and independent shops alike The legacy mode vs. new mode toggle in the upcoming measureQuick update — no forced UI changes for existing users How measureQuick helps newer technicians become productive faster and helps seasoned technicians be more consistent The importance of presenting diagnostic findings to homeowners and helping them understand what the numbers actually mean   Learn more about measureQuick at https://measurequick.com/.  Have a question that you want us to answer on the podcast? Submit your questions at https://www.speakpipe.com/hvacschool. Purchase your tickets or learn more about the 7th Annual HVACR Training Symposium at https://hvacrschool.com/symposium. Subscribe to our podcast on your iPhone or Android. Subscribe to our YouTube channel. Check out our handy calculators here or on the HVAC School Mobile App for Apple and Android.

Microlearning accelerates Gen AI education by delivering flexible, role-based, bite-sized training that boosts productivity, drives innovation, and builds a culture of continuous learning without disrupting daily operations. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses how microlearning offers a flexible approach to Gen AI education.This article forms the basis for this episode: https://disasteravoidanceexperts.com/microlearning-offers-a-flexible-approach-to-gen-ai-education/

Learn how to benchmark effectively for personal and business growth without losing your identity. This episode teaches strategic ways to study successful patterns, not just personalities, to gain clarity and improve decision-making. Discover how to shift from comparison to productive learning for sustainable success.In This Episode:00:00 Benchmarking vs. Comparing02:47 Patterns, Not Personalities04:49 Real-Life Benchmarking Insights08:48 Sustainable Growth and ChallengeKey Takeaways:Study patterns, habits, and systems for insight, rather than copying personalities.Differentiate between intimidating comparison and intelligent benchmarking for growth.Anchor learning in your identity to ensure insights fit your values and goals.Avoid the pitfalls of doubt, distraction, and burnout caused by unhealthy comparison.Apply strategic benchmarking to grow faster and remain authentic in your journey.

CASP CEO Lorri Unumb joins the show! She discusses CASP's 10th Anniversary, including its pre-incorporation days when it was just a conference, growing out of a conversation in a bar.She and Empower ABA CEO Natesh Kumar also discuss an exciting industry benchmarking initiative to help autism service providers make more strategic decisions for their businesses.Lorri also previews the 2026 CASP Conference. Limited in-person tickets are still available. You can also attend virtually.Click here to register for the conference.

Establishing an AI center of excellence centralizes best practices, fosters collaboration, and drives continuous learning, enabling organizations to harness generative AI for operational efficiency and innovation. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about harnessing the power of AI through a Gen AI center of excellence.This article forms the basis for this episode: https://disasteravoidanceexperts.com/harnessing-the-power-of-ai-through-a-gen-ai-center-of-excellence/

Unlocking the Power of Data in Education: Insights from the EdTech Podcast Explore how innovative data collection and analysis are transforming school leadership, student engagement, and outcomes. This episode highlights practical examples of how schools worldwide harness data to improve decision-making, boost engagement, and personalize learning experiences. Discover the future of data-driven education and key strategies for maximizing its impact. Key Topics The evolution of educational data over the last decade How engagement surveys like TEP provide granular, trustworthy insights The role of benchmark data in guiding school improvement efforts Using data for real-time decision making versus post-event analysis The impact of mobility and diversity on school data interpretation Encouraging a school culture of curiosity and continuous improvement through data The ethical use of data as a tool for enhancement, not judgment Future trends: AI, interoperability, and proactive data strategies Timestamps 00:00 - Introduction to the episode and guest insights 00:32 - The importance of trustworthy and granular engagement data 01:20 - How the Engagement Platform (TEP) measures staff, student, and parent voice 02:42 - Linking engagement data to school outcomes like attendance and academic results 03:29 - The significance of benchmarking and comparability across schools and regions 04:55 - Overcoming challenges of data collection in high-mobility environments 06:19 - The power of data to inform targeted strategies and reduce emotional bias 07:23 - The three broad domains of TEP: cognitive, emotional, and behavioral engagement 09:00 - How data supports understanding student agency and decision-making 11:51 - Use cases of data in Australian and Middle Eastern school contexts 13:45 - Addressing regional differences and school strategies informed by data 15:23 - Linking engagement measures to academic achievement and school retention 16:52 - Managing disruptions due to mobility and diverse student populations 22:12 - Communicating data insights to families for transparency and trust 25:27 - The importance of tracking trends through frequent surveys vs single snapshots 30:32 - Identifying critical points of engagement decline and school transition data 33:02 - Benchmarking confidently: timing, comparability, and contextual factors 37:10 - The role of technological ease and usability in data success 42:46 - The future of data: proactive, forward-looking, and AI-enhanced analysis 46:07 - Building a data culture for continuous improvement rather than judgment 48:08 - The potential of AI to deepen school data insights and efficiency 49:14 - Final thoughts on the strategic use of data to support school growth Resources & Links Engagement Platform (TEP) — Official website https://www.linkedin.com/in/john-jerrim-65499382/ — Professor John Jermain's profile Dan O'Riley https://www.linkedin.com/in/dan-o-reilly-50061441/ Dr Chris Wilson https://www.linkedin.com/in/chris-wilson-45538017b/ School Engagement and Wellbeing Research — Publications and papers linked to the insights discussed Connect with the Guests: Dr. Chris Wilson — LinkedIn | Twitter Dan O'Reilly — LinkedIn Professor John Jermain — UCL Profile

A well-designed internal AI portal empowers employees to confidently adopt Gen AI, easing anxiety, boosting skills, and turning technology into a collaborative tool that drives both personal growth and organizational innovation. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how to build a Gen AI portal employees will actually use.This article forms the basis for this episode: https://disasteravoidanceexperts.com/how-to-build-a-gen-ai-portal-employees-will-actually-use/

How do you know if your strategic planning is helping you win—or just helping you look like everyone else?   Many construction leaders rely on benchmarking, consultant reports, and industry comparisons to guide their strategy. It feels smart and data-driven.    But as AI makes benchmarking faster and cheaper than ever, companies risk confusing catching up with competitors with actually winning in the market.    In this episode, we unpack why benchmarking may help you close gaps—but rarely helps you create true strategic advantage.   In this episode, you'll discover: Why benchmarking often leads construction companies toward mediocrity instead of market leadership The simple economic concept called the Production Possibility Frontier and how it applies to construction strategy What the $500M JCPenney failure teaches leaders about the difference between improving operations and building real strategy   Hit play to learn why the most successful construction leaders focus less on catching up to competitors—and more on choosing a strategy that makes competition irrelevant.    Click HERE to read Roger Martin's article.    At Bradley Hartmann & Company, we help construction teams improve sales, leadership,  and communication by reducing miscommunication, strengthening teamwork, and bridging language gaps between English and Spanish speakers. To learn more about our product offerings, visit bradleyhartmannandco.com.   The Construction Leadership Podcast dives into essential leadership topics in construction, including strategy, emotional intelligence, communication skills, confidence, innovation, and effective decision-making. You'll also gain insights into delegation, cultural intelligence, goal setting, team building, employee engagement, and how to overcome common culture problems—whether you're leading a crew or managing an entire organization.   Have topic ideas or guest recommendations? Contact us at info@bradleyhartmannandco.com.   New podcasts are dropped every Tuesday and Thursday.   This episode is brought to you by The Construction Spanish Toolbox —the most practical way for construction teams to learn jobsite-ready Spanish in just minutes a day over 6 months.      

Automation and Gen AI drive marketing teams to downsize while managing high-stakes challenges in the areas of brand ethics, cultural sensitivity, and the risk of automated missteps. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how Gen AI can drive marketing teams to one.This article forms the basis for this episode: https://disasteravoidanceexperts.com/will-gen-ai-drive-marketing-teams-to-one/

Gen AI success starts with a growth mindset and continuous upskilling. Organizations can meet AI demands by embedding learning into daily work and encouraging experimentation. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about why Gen AI demands we keep learning or become obsolete.This article forms the basis for this episode: https://disasteravoidanceexperts.com/gen-ai-demands-we-keep-learning-or-become-obsolete/

At SocialPacific 2025 in North Vancouver, Charlie Grinnell, Co-CEO of RightMetric, joins guest host Rachel Thexton to break down the uncomfortable truth about modern marketing.Charlie explains why most brands operate on assumptions, not evidence, and why “looking before you leap” is no longer optional. From ego and institutional bias to blind faith in performance marketing, he challenges marketers to stop guessing and start triangulating the truth using real external data.The conversation explores attention economics, content engineering, and why in a saturated digital world, creativity without context is just expensive guesswork.Thanks to TAKT, the editors and producers of the SocialPacific 2025 series.

We unpack how AI finally lets marketers count what matters, why attribution is broken across platforms, and how to use behavioral insight and benchmarking to choose better bets. We share a simple playbook: listen in niche communities, test in organic, scale what pops, and measure outcomes not vanity.• AI compressing the cost of data integration and analysis• Platform bias, privacy limits and pixel gaps in attribution• Traffic down, leads up as signal quality improves• Behavioral personas outperforming demographic personas• Niche communities seeding mainstream trends with delay• Organic as a testbed to inform paid investments• Benchmarking growth against the category, not just yourself• Operational discipline for clean data and controlled spend• Directional signals over false precision to act fasterGuest Contact Information: LinkedIn: linkedin.com/in/charliegrinnellWebsite: rightmetric.coInstagram: instagram.com/charliegrinnellTwitter/X: x.com/CharlieGrinnellMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of LLM Visibility™ and the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show