This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
On July 4, 2019, the European Commission published a factsheet on artificialintelligence (“AI”) for Europe (the “Factsheet”). The factsheet also includes some examples of projects conducted by the Commission in AI (including in agriculture, data and eHealth, public administration and services, and transport and manufacturing).
While it’s impossible to predict the future with certainty, technologies that incorporate AI and automation are maturing at an incredibly rapid rate across some industries.
These concepts are no longer limited to our mobile devices but are becoming increasingly important to operations in the manufacturing, transportation, and energy sectors. Manufacturing productivity. For manufacturers, competitiveness is of the utmost importance. Intelligentagriculture.
They’re using that renewable energy for a wide variety of things, including: Powering operations : In manufacturing, wind energy and solar power are fueling warehouses and factories. In the agriculture sector, innovations such as solar-powered irrigation systems are reducing reliance on fossil fuels and decreasing operating costs.
Governments, businesses, and non-profit organizations globally are implementing initiatives such as establishing protected areas, restoring degraded ecosystems and promoting sustainable agriculture and forestry practices. They’re also turning to a new perspective: “nature positive.”
TB JP Original Corp Source New Manufacturing USA Yes 1.2 TB JP Original Corp Source New Manufacturing USA Yes 1.2 TB JP Original Corp Source New Manufacturing USA Yes 1.2 TB JP Original Corp Source New Manufacturing USA Yes 1.2 TB KSA Architecture Source New Construction and real estate USA Yes 1.5
The Data Strategy proposed the establishment of nine common European data spaces for data sharing and pooling, including health, mobility, manufacturing, financial services, energy, and agriculture. What wider regulatory changes will the DGR be a part of?
When thinking of artificialintelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.
For example, mining uses water in remote locations to aid in extractions and textile and chemical manufacturers may use on-site hydropower systems to power processes such as washing, fabrication, sanitation and more. Beyond electricity generation, many industries leverage hydropower for operations.
Federal agencies involved in budgeting, tax administration and other activities that call for economic modeling can get a boost from artificialintelligence (AI) technologies that have matured over the years to become powerful tools. Improving economic forecasting with AI. kathy.jacquay@…. Mon, 11/26/2018 - 10:40.
Register for our LinkedIn Live event on telcos and the Economy of Things The Economy of Things has arrived The EoT is enabled by artificialintelligence, data, IoT and blockchain, bringing liquidity to the IoT. And what is the role telecommunications service providers play in enabling and scaling the EoT?
ArtificialIntelligence (“AI”) is but one of the aspects of digitisation. The benefits are enormous, as digital communication facilitates exchanges and searches, and enhances consumer choices not only in purchasing consumer goods, but also in finance, healthcare, and producing industries from manufacture to agriculture.
We organize all of the trending information in your field so you don't have to. Join 55,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content