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 146

Sustainability Enterprise Artificial Inteligence Google Cloud 146

TechCrunch

MARCH 2, 2022

Here its premise is that it will be able to help facilities achieve better prices for the processed waste as a result of the data that will come attached to it — aka, the analytics and quality/purity guarantee its AI is able to provide. “I think this is the thing that gets us all super excited. .”

Fintech 205

Fintech Artificial Inteligence Machine Learning Industry 205

TechCrunch

MARCH 21, 2022

million sq km over six countries and is the world’s largest tropical carbon sink — by applying machine learning to parse satellite imagery in order to be able identify illegal logging activity in real time. so they’re armed with actionable intelligence to combat deforestation and biodiversity loss.

Data 200

Data Energy Nonprofit Programming 200

CIO

FEBRUARY 27, 2023

This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand for data centre services further, as workloads are no longer confined to the core data centre and can run anywhere, including the edge.

Sustainability 165

Sustainability Innovation Artificial Inteligence Energy 165

Capgemini

JANUARY 22, 2025

trillion by 2050. The solution embraces the power of Google Clouds geospatial analytics and artificial intelligence to simulate the financial impact of transition, the physical risks of climate change and global variables to enhance forecasting and support better decision-making to reduce risks and uncover new opportunities.

Google Cloud 52

Google Cloud Data Sustainability Artificial Inteligence 52

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.

Examples 93

Examples Artificial Inteligence Applications Machine Learning 93

Cloudera

NOVEMBER 18, 2021

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). Failure to address this meant major implications for the IRS and the taxpayer. Data for Good.

Data 77

Data Artificial Inteligence Banking Machine Learning 77

Apiumhub

SEPTEMBER 18, 2019

Intelligent software analysis for pest and disease prediction, soil management and other involved analytical tasks. To date, the company’s bot has learned how to pick tomatoes, but Root AI’s founder asserts that the hardware can be used for a variety of crops. Phase tracking. Weather forecasts. Automated irrigation.

Innovation 15

Innovation Artificial Inteligence IoT Artificial Intelligence 15

Xicom

JANUARY 1, 2020

Now, farmers have incredible opportunities to implement artificial intelligence, machine learning and various techniques in agriculture. In fact, by the year 2050, farmers need to produce 70% more food than producing today. Predictive Analytics. But, at the same time, it raises a number of issues as well.

How To 12

How To Mobile Artificial Inteligence Analytics 12

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

TechCrunch

AUGUST 22, 2022

” He says the team has some tools on top doing a degree of analytics and comparisons — to offer some basic checks on reports. “Then we make sure the information is shared with super transparency — who’s shared it, when, and so on, so you can also trace back.”

Sustainability 208

Sustainability Development Team Review Data Technical Review 208

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 179

Sustainability Fractional CTO Report Energy 179

Cloudera

JUNE 23, 2021

Evolving your analytics and risk models to accommodate climate change inputs and regulations beyond weather-related natural disasters is increasingly important. Data and Analytics Can Help . Analytics and the increased use of AI can improve underwriting and risk-management practices for customers, insurers, and reinsurers.

Insurance 52

Insurance .Net Analytics Analysis 52