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Technologies Artificialintelligence (AI) and machinelearning (ML): AI and ML are being used to automate tasks, identify patterns, and make predictions in the innovation process. For example, IoT data can be used to track customer behaviour, optimize supply chains, and develop new products and services.
According to Gozen: “In recent years, large corporations, start-ups and venture capitalists have been pouring millions into developing new ‘smart’ materials and ‘connected’ packaging that differentiates their companies, brands and products.” Trillion by 2024. And this is just the tip of the proverbial (melting) iceberg.
Studies show that where the global IoT-backed fleet management solutions revenue was mere $3,250 million in 2017, the expected revenue is set to reach a whopping $15,500 million by the year-end of 2024. Let’s see how it is impacting business processes.
This is the first of these posts looking at the development, thinking and design of innovation from 1999 to today 2024, twenty-five years. So I have taken the educational looking back from Gemini lense of perspective and broken this into three parts. I find it interesting and reaffirming.
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