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Executive Guide to Machine Learning

Executive Guide to Machine Learning

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What You Need To Know Before You Start

SUMMARY

This report on AI and machine suggests, is that organizations need to make investments in machine learning at present to avoid becoming obsolete.

News technologies including machine learning will generate new services, products, and offerings, and will have a massive impact on most sectors. There is hardly any industry, the paper states, that will not be impacted by a technology that entails machines with human reasoning capabilities supported by computing power. In that respect the report explains that healthcare, financial services, and professional services are experiencing the biggest rise in their profit margins as a consequence of AI adoption.

On the other hand, the paper mentions that machine learning is still at its nascent stage. Technology companies such as IBM, Microsoft, Amazon, and many other firms are already making big investments in machine learning and AI. However, the likelihood is that they will be outstripped by the startups which are receiving huge amounts of funds by venture capital firms, the study explains. Companies that can make the essential modifications needed to integrate machine learning into their business strategies and daily operations still have an opportunity to succeed, the study concludes.

Report download requires free registration on the publisher's website.


 

 

OUTLINE

Machine Learning and Big Data

Commercial and Open Source

Machine-Learning Driven Companies

Summary

DETAILS

Overview

Researchfinder Rating
4 out of 5 stars
Title
Executive Guide to Machine Learning
Sub-Title
What You Need To Know Before You Start
Region
Global
Published
Jan. 1, 2018
Publisher
ActiveState
Price
FREE
Language
ENGLISH

Content

Number of Pages
31
Number of Tables
5
Number of Exhibits
0
Topics
ai
Tags
ActiveState, AI, artificial intelligence, big data, data analytics, global, machine learning, robotics
Companies mentioned
Google, Facebook, Alibaba, Tencent, Amazon, Baidu, Uber, Airbnb, Lufthansa, IBM, Microsoft, Amazon
Methodology
Not available.
EVALUATION

This is an in-depth report on AI and machine learning.

Positives:

  • Understandable language
  • Good layout
  • Good case examples about the use of machine learning in transportation, healthcare, logistics, stock trading, insurance, online services, marketing, aerospace, manufacturing, and travel sector

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