Remove Agriculture Remove Examples Remove Retail Remove Trends
article thumbnail

Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Retailers, particularly in the fashion industry, are increasingly embracing circular business models: rental and resale programs offer opportunities for growth, while repair services offer an alternative to landfill disposal.

article thumbnail

The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Improving government services with Collibra Data Quality & Observability: A closer look at the food stamp program

Collibra

For example, Collibra can help government agencies improve their services to constituents and make more informed decisions about program improvements. Let’s dive into a specific example focused on the Supplemental Nutrition Assistance Program (SNAP) — commonly known as the food stamp program.

article thumbnail

South African print market growth lagging behind African recovery

Info Source

The main drivers of this upward trend are amplified requests from media and advertising outlets, coupled with sustained adoption within the publishing sphere. For example, they are exploring how customer expectations are changing and how they can tailor their offers accordingly.

article thumbnail

The Internet of Things (IoT): Managing the Data Tsunami

Collibra

The Internet-of-Things has the potential to transform a range of industries – from automotive and agriculture through to healthcare, home appliances and insurance services. For example, data collected by wearable health-tracking devices has become of increasing importance and value to providers of life and medical insurance.

IoT 56