The Future Of Energy: How Shell Is Harnessing AI To Transform The Energy Sector
- Bias Rating
- Reliability
40% ReliableAverage
- Policy Leaning
12% Somewhat Right
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
45% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
61% : Shell's AI initiatives extend beyond operational improvements to fundamental research in areas like carbon capture and storage, biofuels, and electric vehicle infrastructure.60% : As we move from centralized power plants to a distributed network of renewable energy sources, the complexity of managing the grid increases exponentially.
58% : This transformation from roughly 8,000 power plants to millions of energy sources and storage points requires sophisticated AI systems to manage effectively.
57% : "AI is not a silver bullet, but it is a tool that can help us to accelerate energy transition and to reduce CO2 emissions," explains Dan Jeavons, VP of Digital Innovation at Shell.
43% : " For instance, Shell has created AI machine learning models that can study carbon dioxide storage in subsurface reservoirs approximately 100,000 times faster than conventional physics-based simulation.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.