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Ipsos Update – June 2025
Generations, ESG, Fandom … Ipsos Update explores the latest research and thinking on key topics from Ipsos teams around the world.
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Ipsos Update – November 2023
Health, trust, ESG… Ipsos Update explores the latest and greatest research & thinking on key topics from Ipsos teams around the world.
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Ipsos Update – April 2023
Sustainability, happiness, democracy… Ipsos Update explores the latest and greatest research & thinking on key topics from Ipsos teams around the world.
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Ipsos Update - July 2022
Ben Page introduces July’s edition of Ipsos Update with his reflections on the mounting public concern about inflation and the consequences of this for consumer spending. Alongside updates on how people around the world are reacting to cost-of-living pressures, this month’s articles focus on topics which include the demographics and psychographics of Pakistan, and the changing global attitudes towards refugees. We also take a look at the latest Ipsos Views papers on the growth of commerce ecosystems, achieving intimate consumer connections in large communities, and the use of AI to predict future innovation success.
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Ipsos Update - June 2022
Inflation is a recurring theme in the articles featured this month. Other topics include the future of food, the role of cycling and how EU citizens view the EU’s response to war in Ukraine. We also feature our latest Ipsos Views on AI-enabled Consumer Intelligence and tech-enabled product innovations.
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Ipsos Update - April 2022
This month sees us reflect on the impacts of the Covid-19 pandemic two years on. Our featured global surveys cover topics including gender equality and interpersonal trust. We also look at the French election ahead of this month’s vote, alongside the latest polling on the Ukraine conflict.
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顛覆你想像的保險
以保費為例，因為有了科技協助，「動態保費」的時代也跟著來臨了。未來保險商品也能個人化。目前只根據性別、年齡來計算保費高低。未來透過大數據，將改變過去使用「平均值」來計算保費的方式，而是依照個人行為所產生的風險大小計算出費率之別，讓保單設計轉變成「以人計費、一人一價」。
With help of technology, the premiums may also be priced individually. In the future, it is possible that insurance products become more tailored to meet individuals. At the moment, premiums are based on gender and age. With big data, the cost of premium can be calculated by past averages associated with personal behaviors and risks. In another word, for the same policy, each of the insured pays a different fee.
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銀行業的數位創新：讓專業的來吧！
銀行業者中的高階人員都深知，將資金投入內部創新的風險，是不太符合公司財政邏輯的，因此，最好的解決方法就是：將創新外包給專業。
Ipsos insight: Banking executives know their business best, and they say it doesn’t make solid financial sense to pour dollars into risky innovation in-house. The best solution: outsource it.