Machine Learning Applications – A Key Imperative for Businesses
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Machine learning (ML) 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.
Insights, real world examples of innovation and implementation of Artificial Intelligence across the Healthcare value chain
Scope
– Machine Learning enables real-time decision-making by making the process faster and smarter
– Machine Learning makes personalized product recommendations, sends targeted emails, sets prices, delivers personalized ads or recommends content for them
Reasons to Buy
– Gain insights into extensive applications of Machine Learning across industries.
– Gain insights into Market Drivers & Inhibitors of Machine Learning
– Gain insights into Key Trends, Value Chain and Use Cases of Machine Learning
– Gain insights into future outlook of Machine Learning
Skyline AI
HoloBuilder
Spotscale
Smartvid.io
Journey Foods
Natori
Aeolus Robotics
EtainPower
Stem
Beyond Limits
University of Luxembourg
Zesty.ai
Personetics
Clarity Money
JPMorgan Chase
CLARA Analytics
Cytora
Earnix
CrowdProcess
Commerzbank
Everis
Opera Solutions
Auryn Resources
Micromine
PETRA Data Science’s
GoldSpot Discoveries
Telefonica
ComcastSK-II
Costco
Socialbakers
Cosabella
Mujin
Fleat Network
Kaia Health
DeepRay
BIOS health
STYR Labs
HealthSignz
HealthTap
Insilico Medicine
SOPHiA GENETICS
doc.ai
Doctrin
RapidMiner
IDx-DR
Massachusetts General Hospital (MGH)
Imagen Technologies
DIABNEXT
Motic
Infermedica
Lunit Inc.
Bay Labs
IBM
GNS Healthcare
Merck
Western Provident Association Limited
Nuritas
Novartis
YourIKA
DigitalGenius Inc
D-Wave Systems
CrowdAI
YellowHead
Spotad
Appier
Flexciton
Tamr
GE
Squirro
Graphcore
Nvidia
Relayr
Unilever
Pymetrics
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