Remove 2030 Remove Big Data Remove Internet of things
article thumbnail

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.

article thumbnail

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”.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

Data 78
article thumbnail

A Guide to Smart Cities

Innovation Walk

With the world’s population increasing at rapid rates, urbanisation has accelerated to the point where 68% of the world’s population will live in urban areas by 2050 and there will be 39 megacities by 2030, according to the United Nations and Euromonitor International , respectively.

article thumbnail

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.

article thumbnail

Artificial Intelligence: A Question of Data

Daniel Burrus

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

article thumbnail

IoT for Logistics: Leveraging Data-driven decisions for Predictive and preventive Fleet Maintenance, Optimizing life cycle, and Ensuring Workforce Safety

Acuvate

In the age of data and AI, industry players are looking to maximize operational efficiency and enhance customer experience with game-changing IoT logistics and fleet management solutions. million by 2030. . It is not surprising that the global IoT market in logistics is expected to reach $100,984.5

Data 52