AI, machine learning are driving Industry 4.0

M in Asia is rapidly evolving. China maintains its strong position, and yet the rising cost of labor also means new opportunities for emerging hubs like Malaysia, India, Thailand, Indonesia, and has termed the “mighty

With low costs and supportive policy environments, these burgeoning econo mies represent a fresh and formidable group of challengers for the manufac

and supply chains ever more complex, manufacturers are under intense pres sure to increase yield, reduce production errors and uncover new areas of competi

and in

particular, manufacturers

will is wasting a huge amount of ingredients, electricity and valuable hours.

Now imagine if the baker could analyze every variable to understand what went

machine learning allow manufacturers to

When manufacturers are able to spot anomalies during production, pinpoint the root cause of issues and predict events

can be massive. McKinsey reports on the situation of a chemical manufacturing plant which built an advanced neural analytics model that helped it identify how external weather factors were af

ing process, eventually leading them to upgrade a single piece of equipment. This saved the business nearly $590,000 in value annually, in an investment that paid for itself within 12 months.

AI cloud applications are already improving yield for biopharma manu facturers, making semiconductor chip

makers predict and avoid safety incidents before they occur. Today, there is simply no better way to integrate complex supply chains, extract actionable insight from a mammoth collection of data, and use it to better the business. As the Internet of Things continues to generate vast amounts of data, it will be increasingly

from all that information without AI.

Regional frontrunners taking advan tage of emerging smart manufacturing technologies include Yadong Chemical Group, which is using Oracle ERP Cloud to support rapid deployment with syn make global expansion a reality. Through

time data, Yadong can compete more ef fectively on the global stage — something that had been held back when it wasn’t able to seamlessly manage the business

Along with easing the process of regional and global expansion, the new generation of cloud applications infused with AI can help manufacturers get smart about quality control. AI is invaluable to quickly uncover the root cause of errors and ensure they don’t happen again. Indeed, with rising margin pressures in

nies can’t just be good at quality control — they must be fast, and intelligent. This is where AI comes in.

entity DBL in Bangladesh brought in the Oracle HCM Cloud to make smarter decisions around growth and talent. Previously, such decisions were made based on intuitive and historical data, but with Oracle the business can evalu

– empowering managers and supporting sustainable development for the com pany. Another example is Shree Cement, a rapidly growing Indian company that upgraded to Oracle Database and Oracle

planned downtime and disruptions, as cycle by a factor of 69.

fused with machine learning and AI are saving time and money for businesses. Previously, in order to remedy an error or

facturers had to gather many different teams to analyze vast amounts of data

could take weeks or even months. Now, thanks to emerging cloud technologies, which bring together and analyze struc

data from multiple data sources, manu facturers can understand the root cause of a problem in as little as a few hours.

Using technology to drive a culture of quality is now essential for manufacturers. IDC reports on the future of manufactur ing: “By 2020, 60 percent of G2000 manu facturers will rely on digital platforms that enhance their investments in ecosystems and experiences and support as much as 30 percent of their overall revenue.” IDC researchers also note that by 2020, “80 percent of supply chain interactions will

networks, improving participants’ resil iency and reducing the impact of supply

As Asian manufacturers compete to capture new opportunities, being quick, agile and proactive will be more impor

cloud applications, smart manufacturing is now accessible to every manufacturer — enabling them to gain visibility into

efforts, and then react to that informa tion with the speed required to deliver products that customers want with the

learning are driving Industry 4.0. They are key to powering Asia’s economic growth engine for today, and tomorrow.