Kansikuva näyttelystä Favoriot Sembang Santai

Favoriot Sembang Santai

Podcast by Dr. Mazlan Abbas and Zura from FAVORIOT

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Teknologia & tieteet

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This is your favourite Sembang Santai Podcast. It is all about Favoriot, their IoT journey, and and how they transform business and education with IoT.

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68 jaksot

jakson EP46 | Your data is already talking. But is your operation listening? kansikuva

EP46 | Your data is already talking. But is your operation listening?

Your data is already talking. But is your operation listening? Reference article - https://iotworld.co/2026/05/how-do-make-your-data-talks-and-operation-listens-using-favoriot/ In Favoriot Sembang Santai Episode 46, host Zura Huzali speaks with Dr. Mazlan Abbas, Co-founder and CEO of Favoriot, about why IoT projects must go beyond sensors, dashboards, and reports. Many organisations already collect real-time data. They have devices installed, dashboards running, and reports being generated. But the real question is this: Does the data help the team make faster decisions? In this episode, we discuss how organisations can move from simply monitoring data to creating real operational response using Favoriot. We explore why many IoT projects fail to create impact, how dashboards can become “expensive wall art,” and why every IoT project should be designed around clear action, not just beautiful charts. In this episode, we discuss: * Why collecting data is only the beginning * The danger of stopping at dashboards * How to move from data to decisions * Why IoT should be treated as an operational improvement project * The importance of alerts, workflows, and escalation * How Favoriot helps organisations Connect, Understand, and Act * Use cases in smart cities, agriculture, energy, flood monitoring, and industry * Why project briefs and tenders should ask for action support, not just sensors * How to start small, prove value, and scale with confidence A sensor reading alone does not save time. A dashboard alone does not reduce downtime. A report alone does not improve operations. The real value begins when data reaches the right person, at the right time, with the right meaning, so the right action can be taken. Your Data Is Talking. Is Your Operation Listening? This episode is based on the article: How Do Make Your Data Talks and Operation Listens Using Favoriot https://iotworld.co/2026/05/how-do-make-your-data-talks-and-operation-listens-using-favoriot/ [https://iotworld.co/2026/05/how-do-make-your-data-talks-and-operation-listens-using-favoriot/?utm_source=chatgpt.com] Host: Zura Huzali Guest: Dr. Mazlan Abbas Co-founder & CEO, Favoriot Website: https://www.favoriot.com [https://www.favoriot.com/] IoT World: https://iotworld.co [https://iotworld.co/] Contact: info@favoriot.com #Favoriot #FavoriotSembangSantai #IoT #AIoT #InternetOfThings #SmartCity #SmartCities #DigitalTransformation #OperationalTechnology #DataToDecisions #IoTPlatform #MalaysiaIoT #IndustrialIoT #SmartAgriculture #FloodMonitoring #EnergyMonitoring What You Will LearnKey MessageFeatured TopicSpeakerLearn More About FavoriotHashtags

12. touko 2026 - 54 min
jakson EP 45 | Why 90% of IoT Projects Fail and How to Avoid Them kansikuva

EP 45 | Why 90% of IoT Projects Fail and How to Avoid Them

🎙️ Favoriot Sembang Santai – Episode 45 🔥 Why 90% of IoT Projects Fail… And How to Turn Them Around in 30 Days Most IoT projects do not fail because of sensors, dashboards, AI, or cloud technology. They fail because: ❌ No clear outcome ❌ Too much irrelevant data ❌ Dashboards without action ❌ No ownership ❌ Pilot projects that never scale In this episode of Favoriot Sembang Santai, Zura Huzali and Dr. Mazlan Abbas break down the real reasons why many IoT projects fail to deliver business value, even after large investments. This is not another technical discussion filled with buzzwords. This is a practical and honest conversation about: ✅ Why organisations struggle with IoT adoption ✅ The “dashboard trap” many companies fall into ✅ Why collecting more data can make things worse ✅ The missing link between data and operational action ✅ How to define meaningful IoT outcomes ✅ The 30-day framework to recover struggling IoT projects ✅ Real examples from manufacturing, utilities, smart cities, and operations Dr. Mazlan also shares a simple 4-week roadmap: 🟣 Week 1 — Define the Outcome 🟣 Week 2 — Identify Critical Data Points 🟣 Week 3 — Connect Data to Action 🟣 Week 4 — Deploy & Validate If you are: * Building an IoT project * Managing operational systems * Leading digital transformation * Developing smart city initiatives * Working on AIoT solutions * A system integrator, engineer, lecturer, or student …this episode will help you rethink how IoT should actually deliver value. Because IoT is not about collecting data. 👉 It is about creating actions that improve operations. ⸻ 🌐 Website: http://www.favoriot.com 📧 Email: info@favoriot.com 📰 IoT Insights & Articles: http://iotworld.co [http://iotworld.co/] ⸻ #IoT #AIoT #Favoriot #SmartCities #DigitalTransformation #Industry40 #PredictiveMaintenance #OperationalTechnology #IoTProjects #DataToDecisions #InternetOfThings #Automation #IndustrialIoT #IoTSolutions #IoTPlatform

11. touko 2026 - 33 min
jakson EP 44 | From Data at the Edge to Edge Intelligence kansikuva

EP 44 | From Data at the Edge to Edge Intelligence

🎙️ Favoriot Sembang Santai – Episode 44 From Data at the Edge to Intelligent Decisions | AIoT Explained Happy IoT World Day 🌍 In this special episode, Zura sits down with Dr. Mazlan to unpack one of the biggest gaps in today’s IoT projects: 👉 Why do so many systems collect data… but fail to create real impact? This conversation goes beyond sensors and dashboards. It dives into how organisations can move from simply seeing data to actually making better decisions using AIoT. * Why most IoT projects stop at dashboards (and why that’s a problem) * The real difference between IoT and AIoT * How edge data shapes everything in your system * Why Machine Learning is NOT the starting point * The common reasons IoT projects fail in real-world deployments * How to move from reactive monitoring to proactive decision-making Dr. Mazlan shares a simple but powerful 6-step approach to turn data into action: 1. Intent & Context 2. Data Foundation 3. Descriptive Insights 4. Diagnostic Insights 5. Predictive Insights 6. Prescriptive Insights This framework helps you design IoT systems that don’t just collect data… but actually solve problems. * Smart factory machine monitoring * Predicting failures before they happen * Reducing downtime and operational costs Most systems can tell you what is happening. Very few can tell you what to do next. That’s the difference between data… and decisions. IoT is no longer just about connecting devices. It’s about connecting decisions, actions, and outcomes. If you’re building IoT solutions, managing operations, or exploring AI in real-world systems… this episode will change how you think about data. 🌐 https://www.favoriot.com [https://www.favoriot.com] Have questions or want to explore your IoT use case? Reach out and let’s discuss how to turn your data into real decisions. #Favoriot #AIoT #IoTWorldDay #SmartCities #IndustrialIoT #DataToDecisions #IoTPlatform #MachineLearning #EdgeAI 🔍 What You’ll Learn in This Episode🧠 The Game Changer: Favoriot Insight Framework (FIF)⚙️ Real Example Covered💡 Key Takeaway🌍 IoT World Day Message🎧 Listen Now🔗 Learn More About Favoriot📢 Let’s Connect

20. huhti 2026 - 43 min
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