Artificial Intelligence in Utilities - Thematic Research

Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to interpret data from connected ‘things’ to predict outcomes and learn from successes and failures.

There are many other AI technologies – from image recognition to natural language processing, gesture control, context awareness and predictive APIs – but machine learning is where most of the investment community’s funding has flowed in recent years. It is also the technology most likely to allow machines to ultimately surpass the intelligence levels of humans.

Many companies, like Alphabet, have already become ‘AI-first’ companies, with machine learning at their core. At the same time, many ML techniques are getting commoditized by being open sourced and pre-packaged into developer toolkits that anyone can use.

This report focuses on Artificial Intelligence in Utilities.

Scope

This report analyses AI in utilities.

The report highlights some of the global leaders in the top ten AI technologies and identifies the leaders and laggards within the global utilities industry and where do they sit in the value chain.

It analyses the main trends across the AI industry.

It provides an industry analysis of the AI sector and highlights its timeline.

Helps understand the impact of AI on power utilities.

Reasons to buy

The report provides a comprehensive analysis of the present scenario and emerging market trends in the global AI industry.

To gain insights of the global technology leaders and new entrants, utility leaders and laggards in the AI industry and where do they sit in the value chain.

Provide detailed information regarding the ten categories of AI software and the AI timeline.

Extensive analysis of the impact of AI on power utilities.

Major market players within the AI industry are profiled in this report and their action plans are studied thoroughly, which aid in interpreting the competitive outlook of the AI sector.

Companies mentioned

Alphabet

Amazon

Apple

Ayasdi

Baidu

Blue Yonder

Cognex

Darktrace

DataFox

Descartes Labs

E.ON

Enel

Exelon

EDF Energy

Facebook

Iberdrola

IBM

Intel

iFlytek

Ipsoft

Kensho ...

Alphabet

Amazon

Apple

Ayasdi

Baidu

Blue Yonder

Cognex

Darktrace

DataFox

Descartes Labs

E.ON

Enel

Exelon

EDF Energy

Facebook

Iberdrola

IBM

Intel

iFlytek

Ipsoft

Kensho

Mobvoi

Nvidia

Numenta

National Grid

Palantir

Preferred Networks

Quid

Salesforce

SAP

Splunk

Sentient Technologies

Vicarious

Zephyr Health

Table of Contents

Players

Trends

Value chain

Industry analysis

Timeline

Impact of AI on utilities

Companies section

Technology briefing

APPENDIX: OUR "THEMATIC" RESEARCH METHODOLOGY

Players

Trends

Value chain

Industry analysis

Timeline

Impact of AI on utilities

Companies section

Technology briefing

APPENDIX: OUR "THEMATIC" RESEARCH METHODOLOGY

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