2020-2024 Report on Cloud Directory Services Market Booming Segments; Investors Seeking Growth | Microsoft, JumpCloud, AWS OneLogin, MiniOrange, Oracle, OneLogin

The report on Global Cloud Directory Services Market 2020 includes a study of annual and financial reports of top players, Market Share and Market Size. This research report offers in-depth study of Key Players, Product and Regional Analysis over the forecast period (2020-2024).

Global Cloud Directory Services Market overview:

Business Industry Reports Analyst covers the Major Players data, including: shipment, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows a regional development status, including market size.

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Cloud Directory is a service that enables an IT team to build cloud-native directories in the Amazon Web Services (AWS) public cloud. A team can use the service to organize hierarchies of different data types, such as user lists and network configurations. The Global Cloud Directory Services Market is segmented on the basis of Product Type, Application, End Use Industry and Region.



On the Basis of Product Type segment, the Cloud Directory Services Market is sub segmented into Monitoring and Support, Integration and Consulting Services. Based on End Use Industry segment, the Cloud Directory Services Market is sub segmented into BFSI, Healthcare, Education, Retail, IT and Telecom/Logistics and Transportation/Manufacturing.

Some of the Cloud Directory Services Market manufacturers involved in the market are Microsoft, JumpCloud, Amazon Web Services OneLogin (Amazon), Nimbus Logic, MiniOrange, Okta, Oracle, OneLogin in World, effective mergers are some of the strategies adopted by the Cloud Directory Services Market manufacturers. New product launches and continuous technological innovations are the Cloud Directory Services Market strategies adopted by the major players.

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The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study.

There are several manufacturers of Cloud Directory Services in Europe and North America. In North America, the demand for Cloud Directory Services is primarily driven by the software service sector. Among the countries in Asia Pacific, the demand was substantially high in developing countries such as China and India. These countries have been witnessing rapid increase in its population along with expansion of their overall economies, which has led to increase in disposable income.

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Top Industry News:

AWS Announces General Availability of Amazon Augmented Artificial Intelligence (A2I) on Apr. 24, 2020-- Today, Amazon Web Services (AWS), an Amazon.com company, announced the general availability of Amazon Augmented Artificial Intelligence (A2I), a fully managed service that makes it easy to add human review to machine learning predictions to improve model and application accuracy by continuously identifying and improving low confidence predictions. Amazon A2I helps developers add human review for model predictions to new or existing applications using reviewers from Mechanical Turk, third party vendors, or their own employees. Amazon A2I makes it easier for developers to build the human review system, structure the review process, and manage the human review workforce. For example, developers could use Amazon A2I to quickly spin up and manage a workforce of humans to review and validate the accuracy of machine learning predictions for an application that extracts financial information from scanned mortgage documents or an application that uses image recognition to identify counterfeit items online, so that the quality of results improve over time. There are no upfront commitments to use Amazon A2I, and users pay only for each review needed.

Today, machine learning provides highly accurate predictions (known as "inferences") for a variety of use cases, including identifying objects in images, extracting text from scanned documents, or transcribing and understanding spoken language. In each case, machine learning models provide an inference and a confidence score that expresses how certain the model is in its prediction. The higher the confidence number, the more the result can be trusted. Typically, when developers receive a high confidence result they can trust that the prediction is accurate, and, depending on the use case, they can use it to fully automate a process. For example, developers of a social media application that matches a user's photos to celebrity faces might rely on an 80% confidence score to generate and return a lot of entertaining matches. However, there are other times when it is strongly recommended to have both high confidence (up to 99%) and human review, such as public safety use cases involving law enforcement. In situations where the confidence score is lower than desired and/or human judgment is required, reviews can be used to validate the prediction. This interplay between machine learning and human reviewers is critical to the success of machine learning systems, but human reviews are challenging and expensive to build and operate at scale, often involving multiple workflow steps, operating custom software to manage human review tasks and results, and recruiting and managing large groups of reviewers. As a result, developers sometimes spend more time managing the human review process than building the intended application, or they have to forego having human reviews, which leads to less confidence in deploying applications that utilize machine learning.

With Amazon A2I, developers can add human review to machine learning applications without the need to build or manage expensive and cumbersome systems for human review. Amazon A2I provides over 60 pre-built human review workflows for common machine learning tasks (e.g. object detection in images, transcription of speech, and content moderation, etc.) that allow machine learning predictions from Amazon Rekognition and Amazon Textract to be human-reviewed more easily. Developers who build custom machine learning models in Amazon SageMaker (or other on-premises or cloud tools) can set up human review for their specific use case in the Augmented AI console or via its Application Programming Interface (API). After setting a confidence threshold for model predictions, developers can choose to have predictions below that threshold reviewed by Amazon Mechanical Turk and its 500,000 global workforce of independent contractors, third-party organizations who specialize in business process outsourcing (e.g. iVision, CapeStart Inc., and iMerit), or their own private, in-house reviewers. Developers can specify the number of workers per review and Amazon A2I then routes each review to the precise number of reviewers. For example, a company building a system for processing financial loan applications using Amazon Textract can easily configure Amazon A2I to work with Amazon Textract outputs such that forms that have a confidence score less than 99% will be routed to human reviewers from their private workforce. Human-validated results are stored in Amazon Simple Storage Service (S3), and developers can set up Amazon CloudWatch Events notifications to review metadata about inference accuracy and retrieve the results.

Table of Contents:

1 Cloud Directory Services Product Definition
2 Global Cloud Directory Services Market Manufacturer Share and Market Overview
2.1 Global Manufacturer Cloud Directory Services Shipments
2.2 Global Manufacturer Cloud Directory Services Business Revenue
2.3 Global Cloud Directory Services Market Overview
3 Manufacturer Cloud Directory Services Business Introduction
3.1 Microsoft Cloud Directory Services Business Introduction
3.1.1 Microsoft Cloud Directory Services Shipments, Price, Revenue and Gross profit 2014-2019
3.1.2 Microsoft Cloud Directory Services Business Distribution by Region
3.1.3 Microsoft Interview Record
3.1.4 Microsoft Cloud Directory Services Business Profile
3.1.5 Microsoft Cloud Directory Services Product Specification
3.2 JumpCloud Cloud Directory Services Business Introduction
3.2.1 JumpCloud Cloud Directory Services Shipments, Price, Revenue and Gross profit 2014-2019
3.2.2 JumpCloud Cloud Directory Services Business Distribution by Region
3.2.3 Interview Record
3.2.4 JumpCloud Cloud Directory Services Business Overview
3.2.5 JumpCloud Cloud Directory Services Product Specification
3.3 Amazon Web Services OneLogin (Amazon) Cloud Directory Services Business Introduction
3.3.1 Amazon Web Services OneLogin (Amazon) Cloud Directory Services Shipments, Price, Revenue and Gross profit 2014-2019
3.3.2 Amazon Web Services OneLogin (Amazon) Cloud Directory Services Business Distribution by Region
3.3.3 Interview Record
3.3.4 Amazon Web Services OneLogin (Amazon) Cloud Directory Services Business Overview
3.3.5 Amazon Web Services OneLogin (Amazon) Cloud Directory Services Product Specification
3.4 Nimbus Logic Cloud Directory Services Business Introduction
3.5 MiniOrange Cloud Directory Services Business Introduction
3.6 Okta Cloud Directory Services Business Introduction
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