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The best way to make sense of strategic foresight is by looking at the narratives that are being used (Sarpong et al., Preparing for the future through strategic foresight, requires a combination of insights from the past, the present and the future. Improving strategic foresight by using time streams. Have a great day!
Last week I wrote about the use of narratives in strategic foresight using the speeches of Steve Jobs as examples (see last week’s blog ). In their article, Van Cattenburg & Duijn (2019), show that the allegorical pattern is useful to reflect on all relevant perspectives to stimulate integral learning. Norbert Bol.
2019) show in their article that we often have a too optimistic view on technology and sustainability. 2019) demonstrate this in the case of biorefinery, where technology made it possible to transform biomass into bio-based products (food, feed, chemicals, materials) and bioenergy (biofuels, power and/or heat). Gonella et al.
2019) show that there is not a lack of these innovations, but there is a too low percentage of these innovations that are successful. . What can we learn from the stars? For companies it is important to keep on innovating and at the same time learn more about what is relevant in every specific innovation case. Clausen et al.
AI can be described as machines capable of imitating certain functionalities of human intelligence, including such features as perception, learning, reasoning, problem-solving, language interaction, and even producing creative work. Viewing AI-systems from a risk management perspective. 2) Complement Humans. (3) Norbert Bol.
Artificial Intelligence in the report is described as “machines capable of imitating certain functionalities of human intelligence, including such features as perception, learning, reasoning, problem-solving, language interaction, and even producing creative work”. Photo on Foter.com.
2019) show in their article that we often have a too optimistic view on technology and sustainability. 2019) demonstrate this in the case of biorefinery, where technology made it possible to transform biomass into bio-based products (food, feed, chemicals, materials) and bioenergy (biofuels, power and/or heat). Gonella et al.
AI can be described as machines capable of imitating certain functionalities of human intelligence, including such features as perception, learning, reasoning, problem-solving, language interaction, and even producing creative work. Viewing AI-systems from a risk management perspective. 2) Complement Humans. (3) Norbert Bol.
Location perspective: we have learned our lesson! Original post on Linked In: Norbert Bol (25 February 2019), Successful office investments in disruptive times. To examine the outlook for institutional office investments, I have used in my presentation four perspectives: 1. Location perspective. 2. Asset perspective.
Artificial Intelligence in the report is described as “machines capable of imitating certain functionalities of human intelligence, including such features as perception, learning, reasoning, problem-solving, language interaction, and even producing creative work”. Photo on Foter.com.
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