Ways artificial intelligence can boost productivity, How AI can improve sustainability in manufacturing etc.
What you'll learn
Easy ways t start using artificial intelligence in manufacturing
Ways artificial intelligence can boost productivity
The impact of artificial intelligence in manufacturing unleashing productivity
Artificial intelligence in manufacturing- the power and the risk mitigation
KPI monitoring and data analysis using artificial intelligence in the manufacturing sector
Artificial intelligence driven Eco-innovation: carbon copilots guide to sustainable waste reduction for business
How to forge a clear path industry 4.0
How artificial intelligence can improve sustainability in manufacturing
Requirements
No special requirement
Desire to learn more about artificial intelligence in manufacturing
Description
Modern companies are gradually accepting artificial intelligence in their manufacturing process and other areas of the business. There are many applications for artificial intelligence in manufacturing as industrial internet of things and smart factories generate large amounts of data daily. Artificial intelligence in manufacturing is the use of machine learning solutions and deep learning neural networks to optimize manufacturing processes with improved data analysis and decision -making. It is very important to note that by applying artificial intelligence to manufacturing data companies can better predict and prevent machine failure. This in turn reduces expensive downtime in manufacturing processes. Management must understand the gains in using artificial intelligence because it will take a long time before the benefits will show. Artificial intelligence is very crucial to the concept of industry 4.0 the trend toward greater automation in manufacturing settings, and the massive generation and transmission of data in manufacturing settings.Industry experts understand that artificial intelligence and machine learning are two vital ways to ensure that organizations can unlock the value in the enormous amounts of data created by manufacturing machines. When using artificial intelligence to apply this data to manufacturing, process optimization can lead to cost savings, safety improvements, supply chain efficiencies and a host of other benefits.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is artificial intelligence in manufacturing
Lecture 3 Why artificial intelligence is critical for the future of manufacturing world
Lecture 4 Use cases of artificial intelligence in manufacturing industry
Lecture 5 Artificial intelligence boosting efficiency and reducing waste
Lecture 6 Artificial intelligence assist fashion industry in cutting down fashion waste
Lecture 7 How t forge a clear path to industry 4.0
Lecture 8 Four uses cases of AI in manufacturing you need to know
Lecture 9 AI in manufacturing real world success stories and lessons learned
Lecture 10 How AI can improve sustainability in manufacturing
Lecture 11 For artificial intelligence in manufacturing, start with data
Lecture 12 How AI inspection can reduce waste for manufacturers
Lecture 13 Manufacturing companies need information architecture before AI
Section 2: Easy Ways To Start Using artificial Intelligence In Manufacturing
Lecture 14 Develop a strategic plan
Lecture 15 Communicate more effectively
Lecture 16 Enhance your branding
Lecture 17 Identify opportunities for process improvement
Lecture 18 Upskill employees
Lecture 19 Quality assurance and testing
Lecture 20 Product development
Section 3: Ways Artificial Intelligence Can Boost Productivity
Lecture 21 More accurate demand forecasting
Lecture 22 Predictive maintenance
Lecture 23 Hyper-personalized manufacturing
Lecture 24 Optimizing manufacturing processes
Lecture 25 Automated material procurement
Section 4: The Impact Of AI In Manufacturing Unleashing Productivity
Lecture 26 Refine product inspection and quality
Lecture 27 Augment human capacities
Lecture 28 Enable preventative maintenance
Section 5: Artificial Intelligence In Manufacturing- The Power And Risk Mitigation
Lecture 29 Risk mitigation is difficult
Lecture 30 The human brain and fuzzy logic
Lecture 31 Artificial intelligence- The competitive edge
Section 6: AI - Driven Eco-innovations: Carbon Copilot To Sustainable Waste Reduction
Lecture 32 Optimizing production processes
Lecture 33 Identifying and eliminating waste
Lecture 34 Developing new ways to reuse and recycle materials
Section 7: KPI Monitoring And Data Analysis Using AI In The Manufacturing sector
Lecture 35 How AI / ML transform our approach to data analysis
Lecture 36 AI / ML for effective quality control
Lecture 37 Al Helping to get the most out of business performance
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