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Innovation thinking in Ecosystem and Gen AI design I believe there is a real need to construct a different innovationprocess. We are rapidly seeing the past of innovating simply in terms of operating on our own. Innovation needs reinventing. There are new ways to capture, extract and deliver value.
We need to leverage speed, scale and impact of Gen AI and delivering this at fast rates for consumer appeal and market development need and growth. Firstly generativeAI will have immense potential to be a true innovation game-changer but not in how we operate or support innovation today.
It has been amazing how AIgenerative thinking (GenAI) has taken hold. It has only been one year since the launch of ChatGPT, then with a follow-up of GPT-4. In a really fascinating routine or guide to how GenerativeAI developed, then you should read Bernard Marr’s post It is well worth the read.
It almost sounds like an oxymoron, but with the help of generativeAI systems like ChatGPT—OpenAI’s advanced AI language model that’s all the rage these days—you can take a lot of weight off your shoulders by streamlining your innovationprocesses, so you can have a bit more structure and creativity without the headaches.
We’ve been coaching professionals on using ChatGPT for their projects in their work. We’ve created a number of demonstration videos and even a short online ChatGPTAIinnovation course. Here’s an example of a video demonstration ChatGPT course module.
More than a year after the unveiling of ChatGPT, enterprises are cautiously introducing large language model-driven applications for a multitude of once-miraculous tasks. The first question that many businesses face is whether to build their own generativeAI (GenAI) solutions or purchase off-the-shelf applications.
Innov8rs | Practical perspectives on how to make the most of AI technology in your innovation work. AI is the buzzword of the moment when it comes to improving workplace productivity. But what does this look like in an innovation context?
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