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FarmSense uses sensors and machine learning to bug-proof crops

TechCrunch

The company creates optical sensors and novel classification systems based on machine learning algorithms to identify and track insects in real time. That data is turned into audio and analyzed by machine learning algorithms in the cloud. The key here: real-time information. Risk can keep people poor.

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Why cloud is integral to Japan Rugby Football Union’s media strategy

CIO

Rugby in Japan is supported by three main organizations: the JRFU, the general incorporated association Japan Rugby League One (JRLO), and Japan Rugby Marketing, which handles fan engagement.

Media 103
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AES enlists AI to boost its sustainable energy business

CIO

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

Energy 193
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Daily Crunch: Stripe acquires Nigeria’s Paystack

TechCrunch

In an interview with TechCrunch, Stripe CEO Patrick Collison said that expanding into Africa presents the company with “an enormous opportunity,” adding that Stripe is planning for “a longer time horizon” than most other companies: “We are thinking of what the world will look like in 2040-2050.”

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Grupo Piñero reduce en un 50% el tiempo de análisis de datos gracias a la IA

CIO

Este consiste en la implementación de tecnología Microsoft para la construcción de 27 modelos basados en IA , concretamente a partir de machine learning. Uno de los proyectos que ya demuestra una clara contribución a la división hotelera del grupo es su proyecto de predicción de demanda hotelera.

Hotels 174
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Making Remarkable Energy Grids a Reality

CIO

Energy Information Administration forecasts 47% higher global energy demand by 2050. [1] 2] But by 2050, as we collectively seek to meet net-zero targets, 90% of the world’s electricity is predicted to come from renewable sources. [3] 3] (Download our infographic to learn more about recent trends.) EIA , October 2021. [2]

Energy 167
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Modernizing bp’s application landscape with AI

CIO

As part of this transition, the company is aiming for a net-zero carbon footprint by 2050. Historically, AI use has been focused on machine learning in operations such as exploration and drilling in the initial phases of energy production. Discover how to accelerate business value with Infosys Topaz, an AI-first offering.