Remove 2030 Remove Big Data Remove Internet of things Remove Learning
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Three Steps to Accelerate Your Sustainability Journey

PlanBox Innovation

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”.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

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.

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Understanding the Innovation Landscape needed for Enabling Technologies in the World’s Energy Transition

Paul Hobcraft

Internet of Things. Artificial Intelligence and Big Data. 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.

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Iron Man: the hero of wearables and IoT

mjvinnovation

The Internet of Things is already a reality, but will be even more popular when we experience the connectivity leap of 5G. 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.

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6 Ways to Drive Sustainability in Transportation

Acuvate

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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Artificial Intelligence: A Question of Data

Daniel Burrus

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.