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-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. million in its first year, contributed a $5.5
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] Ready to evolve your analytics strategy or improve your data quality?
That changed in 2017 when Swiss voters approved an energy act that would reduce the country’s dependency on fossil fuels by 2050. The combination of the smart meter data and weather forecast information would provide a calculated load profile in real-time, driving solar power production for the near future.
Participants can choose from the following categories for their prototype: Climate Smart Agriculture: With the world’s population expected to hit nearly 10 billion by 2050, finding sustainable ways to feed all of these people is critical for addressing global hunger as well as mitigating the climate crisis.
Studies show that planting trees combats desertification and triggers greater rainfall, 8 while artificial intelligence-powered climate forecasts and crop data analysis can help farmers make informed decisions on crop management under challenging circumstances. In some cases, the latter can mean rolling back older flood mitigation strategies.
A report from non-profit Endeavor predicts that the market size of Africa’s digital economy could reach $712 billion by 2050 , fuelled by the nation’s young population, rising smartphone adoption, and increasing internet penetration. Africa’s digital economy and tech ecosystem is experiencing exponential growth.
Its aggressive sustainability goals included achieving net zero emissions by 2050, making all packaging reusable or recyclable by 2025 and investing more than USD 3 billion globally over several years to drive momentum.
The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. Finding the right balance requires load forecasting and simulation to prevent net congestion. Economical optimization must factor in new market dynamics and ensure reliable operation.
In January, the European Parliament approved the EU’s Green New Deal – pushing for a climate-neutral bloc by 2050, April saw COVID-19 force oil prices below zero, and President Xi Jinping announced that China will hit net-zero by 2060 in September. Navigating a new political and economic landscape. Digital turbines reduce maintenance costs.
Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC. Investments in healthcare technologies will grow, driven by national health strategies and pandemic-driven innovation. What specific use cases do you expect to become more widespread?
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