About the webinar
Recalls are a manufacturer’s nightmare. Failure to detect and resolve a quality problem that results in a recall costs the business millions of dollars every year, not to mention the brand damage and reputation cost. In some cases, defects can even endanger human lives when it comes to construction, food, airline or healthcare products.
Leading manufacturers in the food industry, consumer goods, electronics or any other production line, as well as industries like construction, utilities, etc. are employing AI-powered solutions to detect defects early and avoid the defective products going live.
Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
Through this webinar, we will learn how AI and Computer Vision can be used to aid visual inspections and efficiently detect defects to prevent huge money or losses to human lives.
What you will learn
How various industries are leveraging AI to assist in visual inspections.
Live Demo: How to collect data, label and train the AI model to detect defects, all within a few minutes.
Address the challenges of AI & Machine learning and how to overcome them.
Speaker(s) & Panelist(s):
Co-founder and COO at Skyl.ai
COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.
Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.
Lead - Data Science
Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.