Artificial Intelligence in Retail - Thematic Research

Artificial Intelligence in Retail - Thematic Research

Summary

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 application programming interfaces (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 Retail.

Scope

This report is part of our ecosystem of thematic investment research reports, supported by our “thematic engine”. About our Thematic Research Ecosystem -
- It has developed a unique thematic methodology for valuing technology, media and telecom companies based on their relative strength in the big investment themes that are impacting their industry. Whilst most investment research is underpinned by backwards looking company valuation models, It’s thematic methodology identifies which companies are best placed to succeed in a future filled with multiple disruptive threats. To do this, It tracks the performance of the top 600 technology, media and telecom stocks against the 50 most important themes driving their earnings, generating 30,000 thematic scores. The algorithms in its “thematic engine” help to clearly identify the winners and losers within the TMT sector. Our 600 TMT stocks are categorised into 18 sectors. Each sector scorecard has a thematic screen, a risk screen and a valuation screen. Our thematic research ecosystem has a three-tiered reporting structure: single theme, multi-theme and sector scorecard. This report is a Multi-Theme report, covering all stocks, all sectors and all themes, giving readers a strong sense of how everything fits together and how conflicting themes might interact with one another.

Reasons to buy

- Our thematic investment research product, supported by our thematic engine, is aimed at senior (C-Suite) executives in the corporate world as well as institutional investors.
- Corporations: Helps CEOs in all industries understand the disruptive threats to their competitive landscape
- Investors: Helps fund managers focus their time on the most interesting investment opportunities in global TMT.
- Our unique differentiator, compared to all our rival thematic research houses, is that our thematic engine has a proven track record of predicting winners and losers.


PLAYERS 3
TRENDS 4
Technology trends 4
Macro-economic trends 6
Applications of AI in Retail 7
VALUE CHAIN 9
Ten categories of AI software 10
INDUSTRY ANALYSIS 19
The tech sector’s angle 19
M&A 25
Timeline 27
IMPACT OF AI ON RETAIL 29
Retail case studies 31
How AI vendors can sell into the retail sector 33
Recommendations for IT vendors 33
COMPANIES SECTION 34
Listed tech companies 34
Privately held tech companies 38
Retail companies 41
TECHNOLOGY BRIEFING 43
Definitions 43
History of machine learning 43
How does deep learning work? 43
APPENDIX: OUR “THEMATIC” RESEARCH METHODOLOGY 46


Global Artificial Intelligence in Diabetes Management Market Research Report 2019-2023

Artificial Intelligence in diabetes management is an automotion system which employs a computer system that gathers data, understands, reasons, and learns how the information effects outcomes over time.That the system

USD 2850 View Report

North America Artificial Intelligence (AI) Chipset Market Report (2014-2024) - Market Size, Share, Price, Trend and Forecast

Abstract:The North America Artificial Intelligence (AI) Chipset market size is $XX million USD in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million

USD 3000 View Report

Global Artificial Intelligence in Diabetes Management Market Research Report 2019-2023

Artificial Intelligence in diabetes management is an automotion system which employs a computer system that gathers data, understands, reasons, and learns how the information effects outcomes over time.That the system

USD 2850 View Report

North America Artificial Intelligence (AI) Chipset Market Report (2014-2024) - Market Size, Share, Price, Trend and Forecast

Abstract:The North America Artificial Intelligence (AI) Chipset market size is $XX million USD in 2018 with XX CAGR from 2014 to 2018, and it is expected to reach $XX million

USD 3000 View Report

Fill The Form For Sample Request

Note : * Kindly provide us with your company id and get the sample reports at the earliest.

There is no Reviews available