In this blog post, we'll explore the key differences between Fero Labs’ cutting-edge #industrialAI software and traditional advanced analytics. From methodology and capabilities to transparency and optimization, we’ll delve into how these technologies can shape the future of industrial processes. Who should read this? 👨🔬 Data scientists 👷♂️ Process engineers and Metallurgist 👷♀️ Production managers and Meltshop Managers This blog will provide valuable insights into how to leverage these tools for maximum impact to cover any existing gaps of your advanced analytics capabilities or to take your advanced analytics mastery to the next level. Read now: https://lnkd.in/eF6BB-aH #advancedanalytics #ai #ml #manufacturing #diagnostics
About us
Fero Labs is the only AI-powered Profitable Sustainability Platform with real-time production predictions you can confidently explain and act upon to cut costs and emissions in your ever-changing production environment. Manufacturers sit on a disconnected goldmine of production data and knowledge. Augmented by Fero Labs AI, cross-functional teams can work together to make better use of raw and recycled materials, production time, and energy supplies. With white-box ML, confidence bands on every prediction, and real-time explanations about your live production anomalies, your production knowledge will increase exponentially. Using Fero Labs AI, teams can work 90x faster, using simulated predictions or live optimizations. They can explore root cause analyses in seconds, and make continuous process improvements with confidence that drive Profitable Sustainability. Activities that would typically take your team weeks or more, can now be accomplished together in hours or less. Fero Labs was recently recognized as a 2024 Technology Pioneer by the World Economic Forum. Together we'll build a sustainable tomorrow. See a live demo today: https://www.ferolabs.com/get-in-touch
- Website
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https://www.ferolabs.com
External link for Fero Labs
- Industry
- Industrial Automation
- Company size
- 11-50 employees
- Headquarters
- New York
- Type
- Privately Held
- Founded
- 2016
- Specialties
- Industrial Analytics, Machine Learning, Process Improvement, Predictive Analytics, Quality Improvement, Yield optimization, Sustainability, Corporate Social Responsibility, Manufacturing, B2B SaaS, Profitable Sustainability, AI for Good, Industrial Intelligence, and Root Cause Analysis
Locations
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Primary
Get directions
433 Broadway
New York, US
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Get directions
Stadttor 1
Düsseldorf, North Rhine-Westphalia 40219, DE
Employees at Fero Labs
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Michael Grant
Helps manufacturers reduce costs and emissions with explainable white-box machine learning.
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Alp Kucukelbir
Chief Scientist at Fero Labs, Adjunct Professor at Columbia University
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Allison Gaffney
Product Leader at Fero Labs
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Pamir Ozbay
Implementing AI solutions for enterprises since 2017. Expert in digital transformation and change management strategies.
Updates
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According to Processing Magazine, one thing remains clear amid ongoing market volatility — resilience, agility and adaptability will be crucial to competitive differentiation for industrial manufacturers. New priorities need to be established for manufacturers to fight back — including: ✅ circular business models ✅ artificial intelligence (AI) ✅ data pattern recognition tools ✅ smart integrations, and the connected worker. "In just a few years, AI spending in IT is expected to rise by 40%. This rise in investment will help manufacturers improve efficiency through AI data pattern recognition. By using historical data, AI swiftly analyses real-time production data, identifying patterns and anomalies. The long-term value of AI and data pattern recognition will provide manufacturers with ongoing root cause analysis, streamlining work and predicting potential product quality issues by comparing various data points. As manufacturing systems becoming more complex, AI-driven data pattern recognition is crucial for sharpening quality control, predicting equipment issues and optimizing production for fewer defects, higher OEE and significant cost savings. 🚨 With Industry 4.0 and the emerging Industry 5.0, there will be too much data being generated every second for the human mind to cope with — AI will become an indispensable tool for manufacturers." 💡 Read on: https://lnkd.in/g4-7T6tw
AI is not the only weapon to fight manufacturing headwinds in 2024
processingmagazine.com
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We recently met with marketSTEEL to discuss the challenges and opportunities of industrial AI in the highly regulated European #steel market. Our Managing Director of EMEA, Tim Eschert, shared that the opportunities of industrial AI clearly outweigh the risks, producing economic and ecological benefits for Fero Labs steel customers in a short amount of time. Read on: https://lnkd.in/dqSGCwnr #steel #industrialAI #ProfitableSustainability #greensteel
Herausforderungen und Chancen von KI: Die Chancen überwiegen! Tim Eschert, Geschäftsführer EMEA bei Fero Labs, sieht in KI-gestützter #Industriesoftware einen wesentlichen Hebel, um die #Transformation der #Stahlbranche nicht nur in neugebauten, sondern auch in laufenden Anlagen weiter voranzutreiben. Er zeigt sich im Gespräch mit marketSTEEL zudem optimistisch, dass damit Kosten gesenkt und gleichzeitig auch klimaschädliche #Emissionen vermieden werden können. Gerade die Ergebnisse aus laufenden Kooperationen bei Kunden in Deutschland und Europa seien echte Mutmacher – für die Stahlbranche ebenso wie für den Wirtschaftsstandort Deutschland. Zum Interview: https://lnkd.in/dqSGCwnr
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If you're just back from Summer break and looking for use case #inspo - look no further! Our industrial AI #playbooks are accessible to inspire some of the ways you can use #AI to cut costs, reduce waste, and improve quality. 👉 View use case playbooks here: https://lnkd.in/eVcFbuSM 👉 If you want to troubleshoot more use cases to maximize your production in 2024, reach out to us here: https://lnkd.in/eU2ek4GM You still have plenty of time to implement Fero Labs AI to crush your 2024 targets! 💪 #steel #cement #chemical #oilandgas #processoptimization #factoryoptimization
Industrial Use Cases
ferolabs.com
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We're building a more sustainable future for these four-legged colleagues. (The only coworkers that we can 'boop' on the nose without getting an HR violation). Happy #NationalDogDay to all the Fero pooches living their best lives!
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How does a manufacturer achieve Profitable Sustainability with Fero Labs' industrial AI? 🎧 Listen to this snippet of Berk Birand on the Manufacturing Tomorrow Podcast for the answer. Like what you hear? Listen to the full podcast episode here: https://lnkd.in/eaD5CtXv #MFGTMWPodcast #industrialAI #manufacturingoptimization #ProfitableSustainability #steel #cement #chemical #oilandgas
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📑 What is Industrial AI: The Hype, The Facts, and the Path Forward. LNS Research does a thoughtful job of breaking it all down for you. The Facts: What is Industrial AI? To put it simply, Vivek Murugesan shares that Industrial AI is the application of Artificial Intelligence techniques, such as machine learning, deep learning, natural language processing, search, computer vision, causality, and robotics, in combination with industrial subject matter expertise, such as manufacturing operations fundamentals, heuristics, industry standards, asset failure libraries, process know-how, workforce-related information, etc., to solve critical problems for the manufacturing industry. Industrial AI ≠ Advanced Industrial Analytics: It is important to note that Industrial AI is not the same as Advanced Industrial Analytics (AIA), which encompasses a variety of other analytic techniques in addition to AI, namely first principles, physics, and statistical models across descriptive to prognostic levels. A common misconception about this topic is that Descriptive and Diagnostic analytics involve first principles, physics-based models, and statistics, while predictive, prescriptive, and prognostic analytics call for machine learning and artificial intelligence. As most of us in the industry know, that is not true. Keep reading: https://lnkd.in/e-qXeT_J 💡 Want to see the most powerful Industrial AI in action? Let's chat ➡ https://lnkd.in/eU2ek4GM #industrialAI #FeroLabs #ProfitableSustainability
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It's not too late to boost your margins by 2% in just 30 days. 🚀 If rising costs are crushing your profits in Q3, we have the solution. Fero Labs has launched industrial AI Fast Track Pilots to deliver measurable results in weeks, not months. You won't get stuck in pilot purgatory with a fast track pilot to prove value fast. Accelerate your AI journey in 2024, try Fero Labs' Fast Track Pilots. Limited spots available! Claim your pilot spot today! ➡ Steel makers: Start here https://lnkd.in/eyFxPE9x ➡ Chemical producers: Start here https://lnkd.in/e8FTyr9r #FastTrackPilots #FeroLabsAI #IndustrialAI
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Data is the fuel for industrial AI. The better your data, the better your outcomes. This post by Jeff Winter is well worth the review if you want to better understand the which data roles will be essential for modern manufacturing. 👇
Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker
Ever wondered who turns data into gold? Let’s meet the alchemists of the 21st century. How do we define the overlap and difference between these roles? And more importantly – what do you call them? 😎 𝐃𝐚𝐭𝐚 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐬: These professionals lay the foundation of the data structures, with knowledge in data warehousing and ETL processes. They're skilled in crafting efficient database designs and building solid data pipelines. 𝐃𝐚𝐭𝐚 𝐀𝐥𝐜𝐡𝐞𝐦𝐢𝐬𝐭𝐬: Turning data into gold (valuable insights), they possess knowledge in machine learning and statistical analysis. Their skills in predictive modeling and programming (Python, R) let them conjure up prescient predictions. 𝐈𝐧𝐬𝐢𝐠𝐡𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐯𝐞𝐬: With keen eyes for patterns, these professionals have knowledge in descriptive statistics and business intelligence. They're skilled in visualizing the clues (data) and querying the 'witnesses' (using SQL) to solve the mystery of business problems. 𝐃𝐚𝐭𝐚 𝐖𝐡𝐢𝐬𝐩𝐞𝐫𝐞𝐫𝐬: These professionals talk to large masses of data and build a bridge between raw data and machine learning. They have knowledge in big data technologies and data architecture, with skills in implementing machine learning models and advanced programming. 𝐃𝐚𝐭𝐚 𝐎𝐫𝐚𝐜𝐥𝐞𝐬: They can predict future business trends by their statistical programming and predictive analytics knowledge. Skilled in advanced data visualization and statistical analysis using tools like R or Python. 𝐃𝐚𝐭𝐚 𝐒𝐮𝐫𝐠𝐞𝐨𝐧𝐬: With precision, they clean and transform data, having knowledge in data cleaning and data warehousing. They're skilled in performing precise data extraction and transformation (ETL) and are masters of SQL programming. 𝐃𝐚𝐭𝐚 𝐏𝐡𝐢𝐥𝐨𝐬𝐨𝐩𝐡𝐞𝐫𝐬: Pondering on the ethics and implications of data, they have a deep understanding of data ethics and its business context. They're skilled in critical thinking and problem-solving, helping to guide the use of data responsibly and effectively. 𝐖𝐚𝐧𝐭 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝐫𝐨𝐥𝐞𝐬, 𝐚𝐥𝐨𝐧𝐠 𝐰𝐢𝐭𝐡 𝐬𝐨𝐦𝐞 𝐣𝐮𝐢𝐜𝐲 𝐬𝐭𝐚𝐭𝐬? https://lnkd.in/eawvf8Rx ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!
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🎧 Listen to Kathryn Kelley's latest 'Manufacturing Tomorrow Podcast' where she asks Berk Birand how AI can help factories TODAY. In this episode, Kathryn and Berk discuss: 🎙 Why factories need industrial grade AI today 🎙 How Fero Labs industrial AI is helping factories adapt faster 🎙 How Fero Labs AI is driving economic and environmental benefits for plants 🎙 What modern manufacturing will look like over the next 5-10 years Thank you to the Manufacturing Tomorrow Podcast team, and to Kathryn for hosting another fantastic conversation. ▶ LISTEN NOW: https://lnkd.in/eaD5CtXv #MFGTMW #podcast #manufacturing #industrialAI #ferolabs
MFG TMW Podcast
omi.osu.edu