Remove Agriculture Remove Big data Remove Financial Services Remove Manufacturing
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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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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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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.

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