A recent LinkedIn post by Abhishek Ranjan talks about the top 10 business drivers for sustainability in 2017. It’s a good time to start thinking about the business implications of sustainability. Consider this:
- 75% of CEOs are developing sustainable products and services and 54 % are investing in green growth opportunities in response to climate change risks (Source: PwC Global CEO Pulse)
- 66% of consumers are willing to pay more for sustainable brands. For Gen Z, it’s even more important – 72% are willing to pay more. (Source: Nielsen)
- There’s been a 77x increase in investments that consider environmental issues since 2010 – in the US, it now exceeds $7.79 trillion. (Source: State of Green Business 2017)
So how can cognitive help? Sustainability is a global issue that is becoming increasingly complex and interconnected. Stakeholders come from industry, policy makers, academia/research, NGOs, agriculture, finance, non-profits and the interested public (consumers) . As information and knowledge across all these domains continue to grow, finding the best solutions to ensure a sustainable future will require new approaches.
Cognitive (AI) technology is uniquely adapted to helping with these challenges, from finding patterns and interconnections within macro datasets to providing local, personalized diagnosis and predictions that learn and improve over time.
Learn how two organizations have applied cognitive IoT technologies to solving sustainability challenges in this post: http://bit.ly/businesscoach-iot
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Also syndicated on the IBM Cognitive Business Medium channel
Originally published on LinkedIn Pulse April 2017
Julie Yamamoto 
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