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4 Factors That Will Help Project Managers Fulfill AI’s Potential

Harvard Business Review

According to Gartner, 80% of project management tasks will be run by AI by 2030. Indeed, AI is transforming every aspect of work, including our management of people and projects.

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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.

Data 78
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Vehicle Electrification: Key to a More Secure America – and a Sustainable Future

Business and Tech

The auto industry and the White House have committed to an ambitious goal: 40-50 % EV sales for all new vehicles in the nation by 2030 (assuming the right policies are in place — more on that below). Look at the data: There are currently about 100,000 non-proprietary public charging outlets across the country.

Policies 246
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The Innovation Intensity needed in the Energy Transition

Paul Hobcraft

That lack of commitment to change to a clean energy pathway is, in my opinion, plainly wrong as we have a finite period between 2020 and 2030 to make the energy transition to renewables unstoppable. GtCO2 by 2030 – despite expected industrial production growth. Power sector emissions declined by 1.3% Tracking Fuel Supply.

Policies 196
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Do we really care about (artificial) intelligence?

Norbert Bol

It is important to know how data is being gathered (often we are the suppliers of the data without knowing), how the data is being processed (through models and more and more through deep learning models used by Artificial Intelligence) and how the data is being presented. Norbert Bol. Literature. Guerreiro, J.

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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. Most feel it’s all about the quantity of data. The value and quality of data being used by A.I. can learn and adapt.

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

Acuvate

with last-mile connectivity and offering continuous and real-time data on static and moving assets and infrastructure. 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. .

Data 52