{"id":64212,"date":"2025-10-14T00:40:52","date_gmt":"2025-10-13T22:40:52","guid":{"rendered":"https:\/\/www.symbol.nl\/?p=64212"},"modified":"2025-10-14T13:43:43","modified_gmt":"2025-10-14T11:43:43","slug":"how-do-you-eat-an-elephant-2","status":"publish","type":"post","link":"https:\/\/www.symbol.nl\/en\/news-blogs\/smart-technology-and-ai-the-engine-for-productive-processes\/","title":{"rendered":"Smart technology and AI: the engine for productive processes"},"content":{"rendered":"

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Smart technology and <\/span>AI:<\/span> the engine for <\/span>productive processes<\/span><\/h1>\n

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Organizations today face a dual challenge: ever-increasing customer expectations while at the same time increasing pressure on costs and staff. The answer to that challenge lies in working smarter, not harder. And precisely at that intersection, we bring together Lean Management and Six Sigma with AI. <\/strong><\/p>\n

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Lean Six Sigma as a foundation<\/strong><\/h2>\n

Lean Management is all about eliminating waste: unnecessary steps, wait times or duplication of effort that cost energy and add no value.
Six Sigma adds data-driven quality improvement: reducing variation, reducing errors and making processes predictable.
Together, Lean and Six Sigma have been a powerful foundation for productivity improvement for years.
They help organizations simplify processes, speed them up and make them more reliable.
But… more is possible.<\/p>\n

 <\/p>\n

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“I need to do something with AI, but what?”<\/strong><\/h2>\n

Traditionally, analyzing processes takes a lot of time. Workshops, interviews and measurements are valuable, but don’t always show the full picture. AI and smart technology dramatically accelerate this process, revealing patterns that humans alone cannot detect. Organizations looking to increase productivity often turn to proven Lean methods such as Value Stream Mapping (VSM). At the same time, a relatively new approach is rapidly gaining ground: Process Mining.
At first glance, they seem to do the same thing: make processes visible. But a closer look reveals that they are two very different approaches that complement each other perfectly. <\/p>\n

 <\/p>\n

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Process Mining<\/strong><\/h2>\n

With Process Mining<\/a>, digital traces in systems are translated into a visual overview of how processes really work. You see immediately: <\/p>\n