CIO

JANUARY 31, 2023

Energy Information Administration forecasts 47% higher global energy demand by 2050. [1] 2] But by 2050, as we collectively seek to meet net-zero targets, 90% of the world’s electricity is predicted to come from renewable sources. [3] 3] (Download our infographic to learn more about recent trends.) EIA , October 2021. [2]

Energy 232

Energy Artificial Inteligence Artificial Intelligence Analytics 232

CIO

AUGUST 29, 2022

In fact, more than 3,200 companies have set science-based carbon targets , and thousands of companies from around the world are pledging to reach net-zero emissions by either 2040 or 2050. Natural resources: In addition to reducing their carbon footprint, companies need to address water usage and improve waste management practices.

Sustainability 181

Sustainability Enterprise Artificial Inteligence Google Cloud 181

CIO

DECEMBER 28, 2022

The goal is to reach a climate-neutral economy in the EU by 2050, with an intermediate milestone of a 55% reduction in emissions by 2030. With each new generation of the sophisticated applications companies have come to depend on—applications, such as machine learning and data analytics—compute requirements soar to new heights.

Sustainability 246

Sustainability Fractional CTO Report Energy 246

Altexsoft

JUNE 2, 2020

What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning (ML) is the brain of the AI—a type of algorithm that enables computers to analyze data, learn from past experiences, and make decisions, in a way that resembles human behavior. by 80% by 2050.

Artificial Inteligence 93

Artificial Inteligence Examples Applications Machine Learning 93

Altexsoft

APRIL 23, 2021

billion people on earth will be elderly by 2050. the application layer , providing end-users with data analytics, reporting, and device control opportunities through software solutions. So, doctors get analytical results in near real-time. According to the report presented by the United Nations , 2.1

Healthcare 64

Healthcare Internet IoT Systems Review 64

Apiumhub

SEPTEMBER 18, 2019

Intelligent software analysis for pest and disease prediction, soil management and other involved analytical tasks. The system combines a piece of hardware that joins to field equipment and automates the amount and timing of field treatments. Phase tracking. Weather forecasts. Automated irrigation. Light and heat control.

Innovation 15

Innovation Artificial Inteligence Artificial Intelligence IoT 15