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How AI is helping companies meet sustainability goals

IBM Big Data Hub

Anomaly detection: Some manufacturers have zero-defect goals. Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. Foundation models using geospatial data are also likely to make their mark in the coming year or so.

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Renewable energy in action: Examples and use cases for fueling the future

IBM Big Data Hub

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.

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The most valuable AI use cases for business

IBM Big Data Hub

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.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

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.”

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Improving economic forecasting with AI

CGI

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.

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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

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 55
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EU: Competition policy in the digital era (Part 1)

DLA Piper Privacy Matters

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.