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But in the next decade, organizations will increasingly face strict compliances, regulations, and mandates that force wholesale transformation to deliver on the Sustainable Development Goals (SDGs) of the United Nations’ 2030 Agenda. of Goal 7 is: “By 2030, increase substantially the share of renewable energy in the global energy mix”.
Recent trends suggest that the automotive industry might be next on Silicon Valley's disruption list. For executives like Eric Schmidt, chairman of Google's parent company Alphabet, the argument for disrupting the automotive industry is obvious. Key Challenge: Self-Disruption. From Selling Cars to Selling Experiences.
In my book The BigData Opportunity In Our Driverless Future I identify two distinct value chains that have been established because of the car ownership-centric model that has been dominant for the past 70+ years: the vehicle manufacturing and sale value chain , and the vehicle use value chain.
related growth will boost global GDP by roughly $16 trillion by 2030, with roughly half of that growth occurring in China. If nothing else, there’s a lot more data to be gleaned in China simply because their population is so much larger than that of the U.S. Additionally, PwC , a consulting concern, predicted that A.I.-related
It would not be surprising, at the current pace of acceleration, for the Fourth Industrial Revolution to last only 20 years, from say 2010 to 2030, and for the Fifth Industrial Revolution that comes after that – whatever it will look like – to last for only 10 years⃜ say 2030 to 2040.
It finds that AI could (in aggregate and netting out competition effects and transition costs) deliver an additional $13 trillion to global GDP by 2030, averaging about 1.2% How does AI diffusion compare with the absorption of the early set of digital technologies such as web, mobile, cloud, and bigdata?
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