They are responsible for a particular process and the tooling of that particular process,” said Shetty. “What’s happening is the teams on the ground, at the factory, they’re working in the bunkers.
Santhosh Shetty, a technical sales engineer specializing in AI for manufacturing, says this enterprise-wide view enables new insights connecting silos and hierarchies. When that information is properly collected and categorized, a broad view of activity emerges that can be seen and understood by everyone. In AI-driven projects, large amounts of information are communicated and analyzed among different stakeholder groups. However, there is a need for seamless communication during complex change management. Many manufacturers operate with a traditional communication style, where silos and management chains don’t connect seamlessly. As that path moves toward digital transformation, pervasive barriers, such as miscommunication, lack of purchasing power, lack of critical skills, and rigid company culture can be broken down by people-first approach. Lighthouse makers share an approach to change management that includes human capital at all stages of the digital maturity journey. UNDERSTAND: Research: Digital transformation initiatives focused on collaboration (TechRepublic Premium) You’ll go even faster if you get more understanding, purchasing, and collaboration from your people as your business transitions to the 4IR. Increasingly, The company realizes they will need more advanced technical, cognitive, social and emotional skills. While AI technology is driving the revolution in manufacturing, human intelligence is the biggest deciding factor between success and failure. With AI providing so much scope for growth in the manufacturing sector, what is stopping businesses from adopting the Industrial Internet of Things (IIoT)? These industries have sustainably leveraged the capabilities of AI to enable manufacturing beacons to make predictions and decisions, realizing a variety of competitive, financial, and operational advantages and efficiencies.įor example, predictive maintenance is already possible increase asset productivity up to 20%. Lighthouse production are pioneers to apply 4IR technology on a large scale in their factories. Image: Nicol Ritchie / DataProphet Scope AI must read moreĭeploying AI on the road to the Fourth Industrial Revolution (4IR) – entrepreneurship presents unprecedented opportunities for manufacturers.