Artificial Intelligence In Manufacturing Process

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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