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If you are interested in exploring the enabling technologies in different innovation landscapes, these links below will take you to specific briefs released in September 2019 on different parts of the energy system undergoing change. Artificial Intelligence and BigData. Behind-the-meter batteries. Internet of Things.
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”.
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
oT is a game-changing technology driving Industry 4.0 with last-mile connectivity and offering continuous and real-time data on static and moving assets and infrastructure. million by 2030. . IoT applications coupled with bigdata analytics, advanced robotics, and an interconnected network have given rise to Supply Chain 4.0.
Unlike the previous eras, in which there were slowdowns in technological advancement (for example, the period between 1914 and 1960, which, aside perhaps from the atomic bomb, largely saw only incremental changes), this era has seen little slowdown. Businesses cannot fight this change – there is an "invisible hand" driving it.
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?
World leaders and policymakers are meeting ( defiantly ) in Paris over the next couple of weeks to take on climate change. These negotiations (known as COP21) are the latest in a series of meetings that began after the UN Framework on Climate Change (UNFCCC) was agreed to at the Rio Earth Summit in 1992, and went into force in 1994.
By 2030, we estimate there is the potential for manufacturers worldwide to realize an estimated $1.4 But digital technologies now being deployed by German automakers promise to save them $100 million per new car launch on average by integrating design and changedata more closely with the production process.
The need for this sector to change and evolve could not be greater: The organizations that manage water supplies around the world are facing critical issues, and water scarcity is chief among them. According to a 2016 report from the UNEP-hosted International Resource Panel , water demand will outstrip supply by 40% by 2030.
Changing the Worldview About Cars. . The purpose-driven Silicon Valley entrepreneurs and executives, following their "change-the-world-mantra", are viewing the shortcomings of internal combustion engine cars as global challenges, solvable by innovative technologies and business models. From Selling Cars to Selling Experiences.
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