Wizata

AI-powered solutions in cement production are built on a foundation of robust, high-quality data. Deploying these systems may seem complex, but it follows a transparent and efficient process: 1. Data Collection (4 Months) - The first step is gathering historical data from the mill's sensors, maintenance logs, and laboratory reports. - This data provides a comprehensive picture of the mill's operational history, capturing patterns, anomalies, and inefficiencies. - The process ensures every detail is noticed, creating a tailored AI model that aligns with the mill's specific conditions. 2. Model Training and Calibration - With the data in hand, AI systems undergo rigorous training to understand the mill's unique environment. - The model identifies trends, predicts potential issues, and suggests optimal machine settings for various operating conditions. - This step is critical to ensuring the AI system doesn't just work in theory but delivers real-world results. 3. Testing Phase (3 Months) - Before full deployment, the AI solution undergoes extensive testing in live operations. - During this phase, operators monitor the system's recommendations while retaining manual control to validate accuracy and performance. - Testing includes running simulations for different cement types and scenarios to ensure reliability and adaptability under varying conditions. 4. Deployment and Optimization - Once tested, the AI system integrates seamlessly with the mill's PLCs and machinery, operating directly on Edge devices for high-speed data processing. - The deployment doesn't just stop at implementation — the system continuously learns and refines itself based on new data inputs, ensuring long-term effectiveness. 5. The Results Speak for Themselves - After just seven months, cement mills equipped with AI see tangible benefits: increased yield, energy savings, reduced downtime, and more sustainable production processes. - The journey from data collection to optimized production is efficient and transformative, enabling mills to operate smarter and greener. With AI, the path to optimized production isn't just a possibility but a practical and achievable reality. By harnessing the power of data, cement mills can turn insights into action and challenges into opportunities.

In our latest #Espresso40 episode, Michael Carroll explains the bottom-up approach in auditing, starting from the shop floor all the way to the customer. He shares how transactional debt and shifting demographics can burden less experienced workers, affecting safety and efficiency. Carroll likens this to “asking 16-year-old drivers to text and drive” — the complexity has grown, but the capacity to handle it hasn't. Watch the full episode here: https://lnkd.in/dFdgsdCR #Podcast #Espresso40 #MichaelCarroll #Industry40 #Leadership #DigitalTransformation #BottomUp #Innovation #Safety #Business #AI #Upgrade #Update #Improve #Adapt #Overcome #Challenge

#Automation #AI #Production #Factory #SmartFactory #Workflows #Poll #TimeSaving #Operators #Business #WizataAI

In today's fast-paced digital landscape, continuous learning is no longer optional; it's a must! 🌍💡 Leaders who are always seeking new knowledge are better equipped to make informed decisions, innovate, and keep their organizations competitive. But how exactly can you stay ahead? 🤔 ✨ Continuous Learning isn't just about formal education; it's about staying curious, being open to change, and embracing new challenges. Whether it’s mastering the latest tech trends, sharpening leadership skills, or exploring new business models — learning drives progress. 📈 Companies leading the charge in digital transformation understand this well. Their secret? A leadership team that encourages learning at every level of the organization. These companies foster a culture where knowledge-sharing, upskilling, and mentorship are priorities. 🌟 So, how is your leadership team promoting a culture of learning to ensure future success? Are you equipping your people with the tools they need to navigate digital transformation? 🚀 #Leadership #ContinuousLearning #DigitalTransformation #BusinessGrowth #FutureOfWork #AI #Production #Upscale #Business #Growth #Careers #Skills

In this snippet from the latest episode of #Espresso40 Michael Carroll shares his insights on how the best leaders drive digital transformation. It’s not just about strategy — it’s about continuous learning. Why do companies whose leaders read 100 books a year outperform those whose leaders read just 30? Carroll highlights the importance of staying ahead by learning faster than your company needs to grow. Watch the clip to hear how this mindset shapes the future of leadership and innovation. #Podcast #Leadership #ContinuousLearning #DigitalTransformation #Espresso40 #MichaelCarroll #Growth #Innovation #ExecutiveMindset

🔥 Fresh off the oven! Our latest article in the "Ideal Candidate for AI" series explores how AI optimization is transforming baking and roasting industries. From achieving the perfect roast profile for coffee to ensuring consistent textures in baked goods, AI is revolutionizing these complex, high-stakes processes. Dive in to discover how real-time monitoring, predictive maintenance, and temperature control are shaping the future of these industries. 🍞☕️ Curious? Read the full article: https://lnkd.in/dJdDbNhM

Grateful for the chance to share our work at Asset Performance coference yesterday. Complex manufacturing processes require more than generic solutions, especially with today’s energy and quality demands. Industrial roasting often faces the same challenges across sectors: - High energy costs, - Equipment strain - Keeping quality consistent The traditional approaches are losing ground as demands rise. In our session, we showcased our journey towards turning a CPM roaster into a closed-loop, self-regulating system using AI-driven insights. The current set-up relies on AI driven setpoint recommendations which continuously optimize energy use, equipment health, and deliver a stable end product—even when raw material quality fluctuates. Thank you to BEMAS - Belgian Maintenance Association for having us. If you're looking to bring this level of precision to your operations, let’s connect and explore what’s possible.

🚀 Scaling AI in Production is Easier with Wizata 🚀 As industries strive to integrate AI and machine learning into production processes, a common challenge arises: how do you effectively scale and replicate AI models across multiple assets without getting bogged down by complexity? Traditional approaches to ML model replication often face significant hurdles: ❌ Manual operations prone to human error, increasing the risk of inaccuracies. ❌ Time-consuming processes that delay deployment and impact agility. ❌ Complex maintenance requirements that put additional strain on resources. This is where Wizata’s Production AI steps in to transform the game. By leveraging template-based scaling, Wizata enables companies to: ✅ Automatically replicate ML models across similar assets, ensuring consistency and accuracy without the need for manual intervention. ✅ Accelerate scalability, allowing organizations to deploy AI solutions faster. ✅ Ensure easy maintenance, creating a more efficient, streamlined process that scales with your business. In today's fast-moving production environments, being able to quickly and efficiently adapt AI solutions is key to staying competitive. With Wizata, you can say goodbye to manual, time-consuming methods and embrace a more intelligent, scalable approach to AI. Start maximizing your operational potential and drive more value across your production lines. 🚀 #AIforManufacturing #MLAutomation #ProductionAI #Wizata #ScalableAI #Industry40 #AIExcellence #Automation #AIPowered #AI #Business #Adapt #Improve #Adjust #Factory #SmartFactory #Manufacturing #Packaging #Bottling

💡 Are we using technology the right way? 💡 Michael Carroll reflects on a key insight from the pandemic: more tech doesn’t always mean more productivity. During COVID-19, manufacturers saw a surprising boost in productivity when fewer people were on-site. The reason? Focus. Carroll explains how technology, instead of enhancing focus, may sometimes reduce it. Watch the clip to hear how this realization is reshaping the approach to Industry 4.0. #Podcast #Productivity #Industry40 #Focus #TechOverload #Innovation #Espresso40 #MichaelCarroll #Leadership #AI #SmartFactory #Production #ProductionAI

🌟 More technology does not mean more efficiency 🌟 In today’s fast-paced digital transformation era, many companies find themselves adding layers of technology to solve operational issues. While these tools can enhance productivity, that doesn’t always result in more efficiency. ⚙️ If not implemented thoughtfully, it can overwhelm employees and shift focus away from core responsibilities. One of the biggest challenges in Industry 4.0 is ensuring that new technologies truly complement and support the workforce, rather than adding unnecessary complexity. The real game-changer isn’t the number of systems you have in place, but how well they allow teams to focus on their critical tasks. Instead of viewing technology as a quick fix, organizations should consider how it helps streamline workflows and maintain focus on their goals. For many companies, this means revisiting their tech strategies and asking key questions: ❓ Is this tool simplifying or complicating our processes? ❓ Are our employees more or less focused with these systems in place? ❓ How can we adjust our digital roadmap to support concentration and operational clarity? By ensuring technology is an enabler of focus rather than a distraction, businesses can better position themselves to meet future challenges with agility and precision. How is your organization tackling this balance between technology and focus? #Industry40 #DigitalTransformation #ProductivityHacks #OperationalEfficiency #FutureOfWork #AI #Digital #Digitalization #SmartFactory #Improve #Adapt #Upscale #Business #Production #Scale #MachineLearning