A.I. (Vol. III): Machine Learning – Global Thematic Research
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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 commoditised by being open sourced and pre-packaged into developer toolkits that anyone can use. This means that the time taken for Alibaba and Baidu to catch-up with Alphabet and Microsoft will be minimal.
Inside this report, we look at the key players impacted by this theme, drilling down into the value chain and identifying winners and losers.
Scope
This report is part of our ecosystem of thematic investment research reports, supported by our “thematic engine”.
About our Thematic Research Ecosystem
GlobalData 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, GlobalData’s thematic methodology identifies which companies are best placed to succeed in a future filled with multiple disruptive threats. To do this, GlobalData 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 GlobalData’s “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 Single Theme report, offering in-depth research into a specific theme. It identifies winners and losers based on technology leadership, market position and other factors.
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.
Accenture
Alphabet
Amazon
AMD
AMS
Apple
Baidu
Broadcom
Cognex
GE
Goertek
HP Enterprise
IBM
iFlytek
Infosys
Intel
Knowles
Marvell
Maxim
Mediatek
Microchip
Micron
Microsoft
Nuance Communications
Nvidia
NXP
Oracle
Qorvo
Qualcomm
Renesas
Rohm
Salesforce.com
Samsung Electronics
SAP
Sensata
Silicon Labs
SK Hynix
Skyworks
Snap
softbank
Splunk
STMicroelectronics
Tableau
Tata Consultancy Services
TE Connectivity
Texas Instruments
Toshiba
Xilinx
Table of Contents
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