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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. AI and machine learning evolution Lalchandani anticipates a significant evolution in AI and machine learning by 2025, with these technologies becoming increasingly embedded across various sectors.

Trends 159
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Top tech trends powering the Middle East’s digital evolution by 2025

CIO

AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. How do you foresee artificial intelligence and machine learning evolving in the region in 2025?

Trends 122
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IDC Directions: The META region’s path to AI-Driven digital transformation

CIO

According to Jyoti, AI and machine learning are leading the way in sectors such as government, healthcare, and financial services. Jyoti Lalchandani, Regional Managing Director, META, Central Asia & India, IDC shared her perspective on the technology trends set to define the Middle Easts digital transformation.

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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. To achieve that, the Arlington, Va.-based

Energy 193
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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.)

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.

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Subak, which incubates data-for-climate not-for-profits, announces six startups in 2022 cohort

TechCrunch

million sq km over six countries and is the world’s largest tropical carbon sink — by applying machine learning to parse satellite imagery in order to be able identify illegal logging activity in real time. so they’re armed with actionable intelligence to combat deforestation and biodiversity loss.

Data 200