IBM Big Data Hub

MARCH 25, 2024

Companies can use weather data to help write damage assessment reports, guide risk assessors on location and identify insurance claims fraud. Investment decision-makers also need weather and climate data so they can use it for better-informed trading in sectors such as energy, agriculture and food.

Financial Services 86

Financial Services Insurance Risk Agriculture 86

IBM Big Data Hub

DECEMBER 18, 2023

Agriculture GIS technology makes productive, sustainable farming possible by providing accurate, comprehensive data. Efficient field service management ensures technicians respond to and resolve customer issues quickly, reducing service downtime and costs while increasing customer satisfaction.

Energy and Utilities 96

Energy and Utilities Artificial Intelligence IoT Agriculture 96

CGI

NOVEMBER 26, 2018

Real-time, multidimensional economic modeling will enable government policymakers to study the impacts and trends of major economic failures in the world economy from a new, big data analytics perspective. Analyze trends in various critical open data sources available on U.S.

Big data 40

Big data Artificial Intelligence Agriculture Government 40

IBM Big Data Hub

MARCH 27, 2024

Therefore, the states worked with Mercados EMI , a consultancy firm specializing in the energy sector, to build an AI-based demand forecasting system that uses weather pattern data and electricity demand data. The state experienced one of its driest years on record in 2022.

Risk 60

Risk Artificial Intelligence Agriculture Financial Services 60

IBM Big Data Hub

FEBRUARY 29, 2024

In the agriculture sector, innovations such as solar-powered irrigation systems are reducing reliance on fossil fuels and decreasing operating costs. 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.

Energy and Utilities 94

Energy and Utilities Artificial Intelligence IoT Agriculture 94

IBM Big Data Hub

JULY 26, 2023

Foundation models using geospatial data are also likely to make their mark in the coming year or so. Businesses in sectors including agriculture, retail, utilities, and financial services will be able to use these models for risk assessment and mitigation.

Energy and Utilities 73

Energy and Utilities Agriculture Manufacturing Risk 73

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 89

Artificial Intelligence Risk Agriculture Government 89

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. The IPCC projects that water available for human use will continue to decline in North America, while water security will be at risk in Africa, Asia and South America.

Energy and Utilities 114

Energy and Utilities Artificial Intelligence Agriculture Risk 114

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying.

Artificial Intelligence 82

Artificial Intelligence Retail Unstructured data Insurance 82

IBM Big Data Hub

NOVEMBER 9, 2023

Edge computing is helping to revolutionize agriculture, and the Linux Foundation is at the forefront of this transformation. The next year, Texas A&M AgriLife joined the IBM Sustainability Accelerator , a pro bono social impact program that helps agricultural communities in arid and drought-prone regions in the US.

Agriculture 91

Agriculture IoT Access Communications 91

IBM Big Data Hub

JULY 11, 2023

Telcos can also play the role of data providers as well as data marketplace and brokerage operators within the ecosystem. Vertical data platforms owned and operated by telcos and targeting a specific industry such as automotive, agriculture or financial services already exist today.

IoT 51

IoT Artificial Intelligence Agriculture Blockchain 51

DLA Piper Privacy Matters

OCTOBER 1, 2019

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. were not yet developed.

Marketing 40

Marketing Agriculture Artificial Intelligence IT 40

ARMA International

SEPTEMBER 22, 2021

In the Neolithic Revolution, early humans discovered agriculture, which helped establish early civilizations. Over the millennia, agriculture has used countless technologies to increase production.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

JANUARY 29, 2024

Companies at the forefront of generative AI adoption and data-led innovation are reporting 72% greater annual net profits and 17% more annual revenue growth than their peers.

Agriculture 91

Agriculture Sales Access Artificial Intelligence 91

IBM Big Data Hub

FEBRUARY 2, 2024

In the agricultural industry, replacing synthetic fertilizers and pesticides with organic alternatives may help maintain long-term soil health, thereby enabling food security for future generations while reducing overall environmental footprint.

Education 85

Education Artificial Intelligence Agriculture Blockchain 85

IBM Big Data Hub

JANUARY 26, 2024

For example, it provides heat for agricultural greenhouses as well as heating and cooling for manufacturing and food processing. Geothermal Geothermal energy systems convert heat from within the Earth (in the form of hot steam and hydrocarbon vapor) into electricity. The electricity generated from geothermal energy is used across industries.

Energy and Utilities 70

Energy and Utilities Manufacturing Artificial Intelligence Agriculture 70

IBM Big Data Hub

OCTOBER 12, 2023

Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying. And smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress.

Artificial Intelligence 68

Artificial Intelligence Agriculture Libraries IT 68

IBM Big Data Hub

NOVEMBER 16, 2023

In this program, diverse cross-sector experts in topics such as sustainable agriculture and renewable energy come together from both inside and outside IBM. IBM has committed to support our sustainability accelerator projects, including our sustainable agriculture and clean energy cohorts, with USD 30 million worth of services by 2025.

Energy and Utilities 74

Energy and Utilities Agriculture Artificial Intelligence Analytics 74

IBM Big Data Hub

FEBRUARY 8, 2024

And, in the 19th century, settlers in the Americas used windmills to pump water for agriculture. Later, in Europe, the Dutch adapted windmills for various industrial uses, including making paper and draining lakes. 3 Eventually the use of wind energy shifted from its mechanical applications to electricity generation.

Energy and Utilities 72

Energy and Utilities Manufacturing Agriculture Paper 72