2050 Internet Machine Learning 
CIO
DECEMBER 30, 2024
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.
CIO
JANUARY 6, 2025
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?
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TechCrunch
OCTOBER 15, 2020
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.”
CIO
OCTOBER 2, 2024
By 2050, an estimated 68% of the global population will reside in urban environments, placing immense strain on existing infrastructure and resource allocation. Advanced analytics platforms, leveraging machine learning (ML) algorithms and AI, extract meaningful insights from this data.
TechCrunch
MARCH 21, 2022
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.
CIO
AUGUST 29, 2022
In fact, more than 3,200 companies have set science-based carbon targets , and thousands of companies from around the world are pledging to reach net-zero emissions by either 2040 or 2050.
Capgemini
JANUARY 14, 2025
Together these measures, all enabled by smarter digital tools, can have a tangible impact on closing the net-zero gap by 2050. Artificial intelligence and machine learning algorithms facilitate the control of building operations and assets remotely and ensure that expert advice is available at remote locations, thereby reducing downtime.
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