The future of manufacturing is digital and forward-thinking CIOs are facing a number of new challenges in the manufacturing industry. Even as technology delivers value, it can also create exposures and weaknesses.
In the manufacturing industry, every decision is important, because it can lead to a butterfly effect and positively or adversely affect your next steps for years to come.
Virtually thousands of tech websites, articles and videos are buzzing with the same key themes. “Interconnected platforms”. “Autonomous networks”. “Smart machines” that communicate with each other and us and make contextual improvements. Machine Learning. Artificial Intelligence. Internet of Things. All of these are part of a new wave of manufacturing improvements brought on by the so called “Industry 4.0”.
Today’s challenges from increased competition, complex regulatory requirements and heightened safety demands are putting pressure on the manufacturing industry. How can organizations face these challenges and excel in this competitive environment?
While it’s true Machine Learning and Artificial Intelligence have been used in SCP (Supply Chain Planning) processes before, we can’t really say they’ve reached their full potential when it comes to helping organizations reach their operational goals.
The strategy that used to be an exception is now becoming the norm: the most innovative manufacturers in the world are leveraging Machine Learning to improve business processes through tools such as automation, intelligent forecasting and supply chain management, among others.
AI is playing an ever-growing role in manufacturing. Start-ups have begun to develop AI solutions for a number of sub-fields within manufacturing. One such area is supply chain management.
In 2014, Satya Nadella made his first public appearance as the CEO of Microsoft, succeeding Steve Ballmer at the helm and announcing a course shift for the tech giant. Instead of talking about Windows, Nadella explained he saw the future in cloud computing and interconnectivity across different platforms.
Technology implemented in the form of interconnected networks is gradually making our lives easier. Connected devices, buildings, sensors, mobile phones and even vehicles and manufacturing systems are no longer the stuff of sci-fi novels, but real things shaping our surroundings.
Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords that come up whenever topics like Big Data Analytics and technology in general are discussed. What’s…