IBM Big Data Hub

FEBRUARY 7, 2024

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.”

Artificial Intelligence 96

Artificial Intelligence Risk Agriculture Government 96

Information Management Resources

FEBRUARY 5, 2020

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.

Agriculture 58

Agriculture Manufacturing Government Artificial Intelligence 58

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (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.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

IBM Big Data Hub

FEBRUARY 20, 2024

Parts of Africa will be especially vulnerable, with agricultural yields declining by as much as 50% in some areas. That trend is expected to continue: NASA found that since 1993, the average rate of global mean sea-level rise has increased from about 2.5 7 In addition, drier conditions are extending wildfire seasons around the world.

Energy and Utilities 119

Energy and Utilities Artificial Intelligence Agriculture Risk 119

CGI

NOVEMBER 26, 2018

Federal agencies involved in budgeting, tax administration and other activities that call for economic modeling can get a boost from artificial intelligence (AI) technologies that have matured over the years to become powerful tools. Analyze trends in various critical open data sources available on U.S. kathy.jacquay@….

Big data 40

Big data Artificial Intelligence Agriculture Government 40

ARMA International

SEPTEMBER 22, 2021

Part 1 discussed the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how they are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Introduction.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

OCTOBER 12, 2023

Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying. These systems can evaluate vast amounts of data to uncover trends and patterns to make decisions. today The post Understanding the different types and kinds of Artificial Intelligence appeared first on IBM Blog.

Artificial Intelligence 72

Artificial Intelligence Agriculture Libraries IT 72