AI and Big Data

AI and Big Data are two closely related technologies; Artificial Intelligence feeds on the stored data and uses it for Big Data analysis, achieving the improvements and optimizations that these technologies allow.

In industries, Big Data optimizes the performance of machines and devices. Big Data analysis helps machines and devices to become more efficient, intelligent and autonomous.

These are two systems that generally work together, allow the optimization of processes and decision making. Until now, business decision-making has often involved human error. Now analysis of Big Data and artificial intelligence are started to transform many industries by enabling anticipation and improving efficiency.

Using AI, machine learning, and powerful analytics, big data extracts value that is transformed into intelligent and insightful information. A few decades back, much of that data was never used since extracting value manually was difficult, costly, and painfully slow. Now, AI technology responds to the needs of dealing with vast amounts of unstructured data collected by CCTVs.

Kaizen relies on Big Data and AI

Continuously improving manufacturing processes is one way businesses seek to optimize their performance. Toyota set out the approach in Japan in its kaizen system, designed to improve the quality, productivity, safety, and workplace culture.

Many people are familiar with the term “kaizen,” which is Japanese for “change for better.” Kaizen (Continuous Improvement) is a strategy where employees at all company levels work together proactively to achieve regular, incremental improvements to the manufacturing process. In a sense, it combines the collective talents within a company to create a powerful engine for improvement.

While the concepts of continuous improvement methodology might be unchanged since their initial conception, pioneered by the likes of Toyota and Motorola, Big Data and AI enhance how these approaches can be applied, the breadth of information that feeds them, and the pace in which they can benefit companies.

In fact, according to The Manufacturer’s 2018 Annual Manufacturing Report, 92% of senior manufacturing executives believe that ‘Smart Factory’ digital technologies like AI will help them increase their productivity levels and empower staff to work smarter.

Coupling manufacturing platforms with Big Data and AI further transform how data is turned into operational insights. They provide; access to a real-time stream of systemwide data and the ability to see the effects of problems immediately across the end-to-end line, enabling operators to identify root causes and make improvements without coding knowledge.

Conclusion

Khenda is the platform where artificial intelligence and Big Data work together and aim for continuous improvement. It continuously analyzes, assists and reports human involved actions on a factory floor. In the capacity for continuous improvement, Khanda uses AI and Big Data to increase quality, productivity and safety in the production lines.

Partnering with Khenda in intelligent video analytics will help organizations adopt video analytics strategically, and ethically in real-time and accelerate their journeys towards intelligent enterprise by infusing AI into their production processes.

To learn more about how Khenda is helping manufacturers transform their continuous improvement efforts with AI, visit www.khenda.com.