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Artificial Intelligence and BigData. The period 2020 to 2030 is absolutely critical for investments not just to be pledged but effectively deployed on the ground in the physical solutions and effective operation needed to make this energy transition required on track to reach the climate goals. Behind-the-meter batteries.
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”.
Some 700 million people could be displaced by intense water scarcity by 2030. Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs.
and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. can learn and adapt. Most feel it’s all about the quantity of data. The value and quality of data being used by A.I.
The forecast is that by the middle of 2030, we’ll have a trillion devices connected. Like Tony Stark, data scientists and organizations need to adapt to the opportunities and data volume of IoT. Understand the relationship between BigData and Iron Man armor. Is too much data a problem?
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. Only that time will tell us.
New research from the McKinsey Global Institute simulates the potential global macroeconomic impact of five powerful technologies (computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning). We simulated that 20% to 30% of firms would be in this group by 2030.
According to a 2016 report from the UNEP-hosted International Resource Panel , water demand will outstrip supply by 40% by 2030. Because of changes in our lifestyles, including increased consumption of grain, meat, and cotton clothes, growth in water consumption per capita has doubled over the last century. And demand is increasing.
A significant step in this journey has been taken at a recently concluded COP26 summit, where various governments have pledged to reduce emissions by 2030. With our planet on a path to a 2.7 GHG emissions in 2022. 6 Progressive Ways to Drive Sustainability in Transportation.
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