This e-book will give you an in-depth understanding of:

1. Prevalent AI methods and their scope of application
2. Essential building blocks to make AI scalable
3. Six critical capabilities that ensure success of AI
4. Vendor evaluation metrics

As the Industry 4.0 juggernaut forges ahead, manufacturing processes continue to produce and store operational data with a volume, velocity, variety and veracity like never before. Despite being data rich, less than 20% of the organizations have managed to derive insights from the data analytics project.

AI holds great promise as the go-to solution to unlock value from operational data across a range of applications such as process optimization, quality assessment, predictive maintenance and so on. Consequently, an increasing number of companies have cropped up claiming to provide the best AI solutions, making it far more difficult to choose the right solution for your manufacturing operations. This handbook will help you understand important considerations for successful implementation of AI in your organization.