Artificial Intelligence (AI) in Energy – Thematic Intelligence
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Artificial Intelligence (AI) in Energy Thematic Report Overview
Artificial intelligence (AI) has use cases across the energy value chain by driving improvements in energy forecasting and grid optimization. The power industry is making significant investments in AI and machine learning capabilities in order to provide solutions like sensor-connected smart grids. AI’s ability to swiftly evaluate real-time data and provide grid optimization techniques can help balance supply and demand.
The ‘artificial intelligence (AI) in energy’ thematic intelligence report gives an in-depth insight into the artificial intelligence theme and how it will impact the energy sector. It further entails a deep-dive analysis of the industry, including real-life use case studies that showcase how the energy sector has responded to the impact of this theme on their operations. The report also identifies the key market trends that will shape the AI theme over the coming years and gives an insight into the market players and the competitive landscape within the theme.
| Report Pages | 52 |
| Regions Covered | Global |
| Value Chain | · Hardware
· Data management · Foundational AI · Advanced AI capabilities · Delivery |
| Leading Artificial Intelligence Adopters in Energy | · Aker BP
· Avangrid · ConocoPhillips · Duke Energy · Ecopetrol |
| Leading Artificial Intelligence Vendors in Energy | · AiDash
· Cognitive Business · Eliis · eSmart Systems · Kelvin.ai |
| Enquire & Decide | Discover the perfect solution for your business needs. Enquire now and let us help you make an informed decision before making a purchase. |
Artificial Intelligence - Value Chain Analysis
The artificial intelligence value chain consists of the hardware, data management, foundational AI, advanced AI capabilities, and delivery.
Advanced AI capabilities: Humans and animals in the higher layers of the evolutionary tree can interact with their environment. They can adapt to its changes. Also, they can take action to achieve their goals, such as individual and species survival. Whether animals have self-awareness or ethics is an open debate, but they have sentience. This is significant because systems that behave intelligently but are not sentient can be created even with a subpar AI approach.
Artificial Intelligence Value Chain Analysis
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Artificial Intelligence (AI) in Energy- Leading Companies
A few of the leading energy companies currently deploying AI include:
- Aker BP
- Avangrid
- ConocoPhillips
- Duke Energy
- Ecopetrol
A few of the leading artificial intelligence vendors are:
- AiDash
- Cognitive Business
- Eliis
- eSmart Systems
- ai
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Power Utilities Sector Scorecard
At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our power sector scorecard has three screens: A thematic screen, a valuation screen, and a risk screen.
- The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.
- The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.
- The risk screen ranks companies within a particular sector based on overall investment risk.
Power Utilities Sector Scorecard – Thematic Screen
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Scope
- The report is a thematic brief, which identifies those companies most likely to succeed in a world filled with disruptive threats. It further predicts how each theme will evolve and identify the leading and disrupting companies.
- This report covers the AI theme.
Key Highlights
The power industry is investing heavily in AI and machine learning (ML) to deliver the necessary solutions, such as sensor-connected power plants and smart grids to balance electricity supply and demand. AI technology can process large quantities of data, predict the likely outcomes, and assist in making decisions that will impact emission levels. The energy sector’s inherent lack of innovation is a hurdle for incorporating AI-based solutions. Energy equipment such as power stations and oil rigs typically have lifespans extending decades. This makes it difficult to ensure seamless compatibility and communication between existing infrastructure and AI solutions.
Reasons to Buy
- GlobalData’s thematic research ecosystem is a single, integrated global research platform that provides an easy-to-use framework for tracking all themes across all companies in all sectors. It has a proven track record of identifying important themes early, enabling companies to make the right investments ahead of the competition and secure that all-important competitive advantage.
- The report assists in developing and designing your corporate strategies through an in-house expert analysis of artificial intelligence by understanding the primary ways in which this theme is impacting the energy industry.
- The report provides up to date on the industry’s major players and where they sit in the value chain.
- The report identifies emerging industry trends to gain a competitive advantage.
AiDash
Aker BP
Arabian Oil
Aramco
Avangrid
Cognitive Business
ConocoPhillips
Duke Energy
E.ON
Ecopetrol
EIPGrid
Eliis
Enel
Equinor
eSmart Systems
ExxonMobil
Halliburton
Iberdrola
JERA
Kelvin.ai
Mindtrace
RWE
Saal
Schlumberger
Schneider Electric
Seeq
Shell
Siemens
Spoor
SSE
Stem
Urbint
Vattenfall
WeaveGrid
Table of Contents
Frequently asked questions
-
What are the key components of the artificial intelligence (AI) value chain?
The key components of the artificial intelligence (AI) value chain are hardware, data management, foundational AI, advanced AI capabilities, and delivery.
-
Which are the leading artificial intelligence adopters in energy industry?
The leading artificial intelligence adopters in energy industry are Aker BP, Avangrid, ConocoPhillips, Duke Energy, and Ecopetrol among others.
-
Which are the leading vendors making their mark within the AR theme?
A few of the leading vendors making their mark within the AI theme are AiDash, Cognitive Business, Eliis, eSmart Systems, and Kelvin.ai among others.
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