Glorium Technologies Knowledge Hub

Podcast Shownotes

Fraud now costs US financial firms $5.75 for every $1 lost, yet nearly half still review it by hand. This episode shows where to point machine learning first, and how to keep it paying off after launch.

What You'll Learn

• Why the technology is no longer the hard part, and why choosing the right first use case is
• The three traits of a strong ML use case: a repeated decision, a measurable outcome, and enough historical data
• The one-sentence rule test that can save an entire budget cycle by ruling out projects that don't need ML
• How to make predictions change behavior by putting them in the tools people already use, and by agreeing on both a data-team metric and a business metric up front
• Why models decay, how often to retrain them, and who should own the business metric in month nine

Podcast Agenda

• 00:00 - The $5.75 Fraud Problem: Why Are We Still Reviewing by Hand?
• 00:35 - What Machine Learning Actually Does (Nobody Typed That Rule In)
• 00:55 - The Shape of a Winning ML Use Case
• 01:21 - The Subtraction Test: Can You State the Rule in One Sentence?
• 01:43 - Why Predictions Fail Unless They Land Where People Work
• 02:16 - Models Decay: Retraining and Who's Watching in Month Nine
• 02:45 - Skip the Grand AI Strategy: Where to Start

Podcast Shownotes

Switching off your old system shouldn't mean switching off your data. In this episode of the Knowledge Hub podcast, we look at how to move from Microsoft Dynamics NAV to Business Central without losing a single record, and why the work you do before the migration decides how it goes.

NAV 2016 loses extended support on April 14, 2026, NAV 2017 follows in January 2027, and NAV 2018 in January 2028. After that, there are no patches, updates, or support. So the real question isn't whether to move, it's how to move safely.

What You'll Learn

Why a NAV-to-Business Central move is a structured project, not a one-click upgrade

How to audit customers, vendors, items, open transactions, and customizations, and why old C/AL customizations may need converting to AL extensions or replacing with standard features

Why Microsoft requires a multi-hop upgrade path (NAV to Business Central 14, then to at least version 25, then to online), and why each hop needs its own testing

How to test in a sandbox with at least two full cycles, and why your general ledger should match to the penny before go-live

Why user permissions don't carry over, how to set up Microsoft Entra ID accounts, and why you should plan training and two to four weeks of post-launch support

Let's start with the audit, because the boring work up front is what makes go-live day the quiet one.

Enjoyed this episode? Follow the Knowledge Hub podcast so you never miss an episode, and leave a quick rating or review to help other listeners find the show. Know someone still running NAV? Share this episode with them.

Thanks for listening, and we'll see you in the next episode.

Podcast Agenda

• 00:00 - The Nightmare Scenario: Switching On and Finding Your Data Gone
• 00:17 - The Ticking Clock: NAV End-of-Support Dates You Can't Ignore
• 00:43 - Why This Isn't a One-Click Upgrade
• 00:52 - Step One: The Audit and the C/AL Customization Catch
• 01:26 - Step Two: The Multi-Hop Path Most Teams Forget to Budget
• 01:57 - Step Three: Why a Sandbox Can Save Your Project
• 02:32 - The Overlooked Details: Permissions, Training, and Post-Launch Support
• 02:55 - The Real Safety Net: Preparation

Podcast Shownotes

Your hospital has the software, so why can't clinicians see everything they need about a patient? This episode of the Knowledge Hub podcast looks at the unglamorous connective work between health IT tools, where the real returns come from.

What You'll Learn

• Why 91% of physicians and 99%+ of acute care hospitals use a certified EHR, yet most health systems still fail the "see everything without asking anyone" test
• The difference between digitization, digitalization, and digital transformation, and why only the final stage moves clinical outcomes
• How to start small with one measurable workflow and build for data sharing from day one, rather than retrofitting it later at far greater cost
• A worked example of the ROI math for ambient AI documentation: 25 physicians, about 30 minutes saved per day, roughly $437K in annual value, and payback in under four months (illustrative figures, so swap in your own numbers)
• Why saved hours only become money when they go somewhere specific, and how small wins like shared records and live bed views stack up

Podcast Agenda

• 00:00 - The One Test Most Hospitals Fail
• 00:14 - The Tech Is Bought, So What's Missing?
• 00:44 - Digitization vs. Digitalization vs. Transformation: Which Stage Are You In?
• 01:30 - Start Small and Build for Sharing from Day One
• 02:01 - Do the Math: The ROI of Ambient AI Documentation
• 02:40 - The Catch: Turning Saved Hours into Real Money
• 02:49 - Small Fixes That Stack Up
• 03:05 - No Finish Line: Making Every Phase a Team Agreement
• 03:23 - Before You Buy Another System, Ask This

Podcast Shownotes

Retailers can lose millions to empty shelves, and the fix is rarely a math problem. In this episode of the Knowledge Hub podcast, we break down how predictive analytics works in retail and why the data, not the algorithm, is the real challenge.

Welcome to the Knowledge Hub podcast, where we turn complex business and technology topics into practical, actionable ideas. Picture a $50M retailer losing 4% of sales to stockouts. That's $2 million gone, and recovering just a quarter of it would pay for the whole program. So why aren't more retailers doing it? Let's get into it.

What You'll Learn

• Why your POS, inventory and CRM systems already hold most of what a demand model needs, and why joining them is the first step
• Why you should start with one scheduled decision, not a platform, and capture a baseline before you begin so you can prove payback
• Why data preparation takes about half of a typical 8-14 week pilot, and how one UAE retailer cut stockouts and overstocking by 80% just by unifying its inventory data
• How to stop model drift: name an owner, retrain quarterly, check weekly, and publish the accuracy number
• How forecasts support your merchandising team instead of replacing them, and how they can feed the Power BI or Tableau dashboards you already use.

Your Turn

Before you shop for tools, ask yourself: which single decision would you make better with a forecast, and is the data behind it actually in one place? If this episode helped, follow the show, leave a review, and share it with a retail or analytics colleague.

Podcast Agenda

• 00:00 - The $2 Million Question: Why Are Shelves Still Empty?
• 00:25 - The Data You Already Have (But Can't Use)
• 01:03 - Takeaway 1: Start With One Decision, Not a Platform
• 01:26 - What's the Real Payoff? The McKinsey Numbers
• 01:45 - Takeaway 2: The Hard Part Is Data, Not Algorithms
• 02:22 - Takeaway 3: Why Models Drift and Trust Fades
• 02:49 - Will This Replace Your Merchandisers?
• 03:14 - The One Question to Ask Before Buying Tools

Podcast Shownotes

One day of delay in a phase three trial can cost about $500,000 in lost sales, and the cause is often tracking, not science. In this episode of the Knowledge Hub podcast, we explain how a clinical research management system (CTMS) helps teams keep trials on schedule.

What You'll Learn

• Why a single day of delay is so expensive, and why spreadsheets and email chains can't handle nearly six million data points per trial
• How a CTMS sits on top of your EDC and eTMF to answer operational questions: who's enrolled where, which sites are behind, and how the budget is tracking
• Why audit trails matter for FDA and EMA inspections, and how live site dashboards and AI forecasting can address missed recruitment timelines
• How to avoid the real CTMS pitfalls (poor adoption, legacy integration, surprise costs, and risky data migration) by scoping integration, budgeting for training, and piloting with one study first
• Why interoperability (HL7 and FHIR) matters as trials pull data from devices, apps, and hospital records

Podcast Shownotes

Seventy percent of technology projects fail to deliver on time and on budget — and the culprit might be sitting right on your desktop. In this episode, we break down why fragmented tools are silently killing your projects and how Dynamics 365 Business Central closes the gaps for good.

What You'll Learn

• Why only 30% of tech projects succeed — and the real reason behind the other 70%
• How disconnected tools like Asana, Excel, and QuickBooks create costly data gaps
• How Business Central unifies project tasks, budgets, and financials in real time
• Three game-changing improvements: budget oversight, smarter resource allocation, and faster client billing
• Why native Microsoft 365 integration makes the switch easier than you think

Podcast Agenda

• 00:00 - The Uncomfortable Stat That Exposes a Broken System
• 00:49 - Why Your Tool Stack Is Working Against You
• 01:18 - What Business Central Actually Fixes
• 02:10 - Three Ways It Changes the Game
• 02:47 - The Hidden Cost of Staying Put
• 02:56 - Plug Into What You Already Use

Podcast Shownotes

Is your growing business still running on spreadsheets and manual workarounds? In this episode, we break down why choosing the right ERP implementation partner is the make-or-break decision most companies underestimate.

What You'll Learn

• Why 75% of ERP implementations fail — and it's not the software's fault
• The three non-negotiables to look for in a Dynamics 365 Business Central partner
• How implementation depth goes beyond a basic setup to actually transform how your team works
• Why scalability and post-launch support matter just as much as go-live day
• A real-world example of a food manufacturer that cut waste by 25% and slashed scheduling time by 40% after the right implementation.

Podcast Agenda

• 00:00 - The Spreadsheet Problem Nobody Talks About
• 00:33 - Why Growing Businesses Hit a Wall
• 01:14 - What Is Dynamics 365 Business Central?
• 01:42 - The Shocking Reason 75% of ERPs Fail
• 02:05 - What to Look For: Implementation Depth
• 02:44 - What to Look For: Scalability That Bends Without Breaking
• 02:59 - What to Look For: Post-Launch Support That Actually Shows Up
• 02:29 - Real-World Results: A Food Manufacturer's Transformation
• 02:58 - The Questions You Must Ask Before Choosing a Partner
• 03:13 - Final Takeaway: Build a System That Grows With You

Podcast Shownotes

Healthcare has officially left the building — and it's living in your pocket. In this episode, we break down exactly what it takes to build a compliant, scalable healthcare app in 2026 before the market leaves you behind.

What You'll Learn

• Why the global digital health market is on track to hit $1.8 trillion by 2033 — and what that means for builders right now
• The critical difference between a health app and a medical device, and why getting this wrong costs you months
• How to bake HIPAA, FDA, and GDPR compliance into your architecture from day one (not as an afterthought)
• The tech standards (HL7 & FHIR) that make or break your app's ability to connect with hospitals, labs, and pharmacies
• Real cost and timeline breakdowns — from a $50K wellness MVP to a $300K telehealth platform — and how developer location changes everything

Podcast Agenda

• 00:00 - Healthcare Is Now in Your Pocket
• 00:18 - The $1.8 Trillion Digital Health Opportunity
• 00:43 - Why Healthcare Apps Are Nothing Like Consumer Apps
• 01:12 - Health App vs. Medical Device — Know Which One You're Building
• 01:38 - Compliance Is Day One Architecture, Not a Final Checkbox
• 02:14 - The Tech Stack That Keeps You Connected and Scalable
• 02:44 - What Does It Actually Cost to Build a Healthcare App?
• 03:17 - Start Lean, Win Long — The MVP Strategy That Works
• 03:42 - Build Something That Survives Its First Audit

Podcast Shownotes

Is your accounting software holding your business back? In this episode, we break down the real signs that QuickBooks has hit its ceiling — and what Microsoft Dynamics 365 Business Central can do that your current setup simply can't.

What You'll Learn

• The telltale warning signs that your growing business has outgrown QuickBooks
• How Business Central's live Power BI dashboards replace manual Excel reporting for good
• Why inventory-driven businesses see the biggest gains after migrating
• The ROI numbers behind Business Central — including a 265% return over three years
• How role-based security and audit logging protect your business as your team scales

Podcast Agenda

• 00:00 - When Does Your Accounting Software Become the Problem?
• 00:54 - Why QuickBooks Dominates — And Where It Falls Short
• 02:23 - The Breaking Point: Signs You've Outgrown Your Tools
• 03:10 - From Reactive Bookkeeping to Real-Time Decision Making
• 01:40 - Inventory Management: The Feature Gap That Changes Everything
• 02:58 - Smarter Financials With Dimensions and Multi-Entity Consolidation
• 02:28 - The ROI Case: What the Numbers Actually Say
• 02:52 - Security, Audit Trails, and Staying Compliant at Scale
• 03:16 - Is Business Central Right for You? Honest Answers

Podcast Shownotes

Your Microsoft Dynamics GP system has an expiration date — and the clock is already ticking. In this episode, we break down exactly what you need to know to migrate to Business Central before the 2029 deadline, and why doing it right is one of the smartest moves your business can make.

What You'll Learn

• Why December 31, 2029 is the hard deadline for Microsoft Dynamics GP support — and what happens after
• The real ROI of migrating to Dynamics 365 Business Central, including 100%+ returns and up to 15 hours saved per week
• The three migration paths available and how to choose the right one for your business
• Critical pre-migration steps most teams skip — and why they derail projects at the worst possible time
• Why clean data and an experienced partner are the two factors that separate successful ERP migrations from costly failures

Podcast Agenda

• 00:00 - The GP Countdown: What Happens When Support Ends?
• 00:33 - The Business Case: Why Migration Is Worth It
• 00:58 - Step 1 — Audit Everything Before You Move
• 01:24 - Step 2 — Choosing the Right Migration Path
• 01:58 - Step 3 — Test Before You Go Live
• 02:25 - What Separates Successful ERP Migrations from Failures