AI Governance Market Growth to be fuelled by Advancements in Technology 2020-2025 | International Company's - AWS, IBM, Google, Facebook, Microsoft, Salesforce, SAP, FICO, H2O.AI

Global AI Governance Market Report 2020-2025 cover detailed competitive outlook including the AI Governance Market share and company profiles of the key participants operating in the global market. The AI Governance Market report provides an in-depth overview of Product Specification, technology, product type and production analysis considering major factors such as Revenue, Cost, Gross and Gross Margin.

Global AI Governance Market Overview:

This report studies the Global AI Governance Market over the forecast period of 2020 to 2025. The Global AI Governance Market is expected to grow at an impressive Compound Annual Growth Rate (CAGR) from 2020 to 2025.

The most significant key factors driving the growth of the Global AI Governance Market are increasing government initiatives to leverage the benefits of AI technology and increasing need for building trust in AI systems and growing demand for transparency in AI decisions.

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The Global AI Governance Market is segmented on the basis of Type, Application and Region. Based on the Type, the Global AI Governance Market is sub-segmented into Software, Service and others. On the basis of Application, the Global AI Governance Market is classified into BFSI, Healthcare & Life Sciences, Government & Defense, Retail & Car and others.

In terms of the geographic analysis, The AI Governance Market in North America is expected to grow at the highest CAGR during the forecast period. Moreover, the presence of major players in the AI Governance Market ecosystem results in the increasing adoption of these systems in North America.

Latest Technology Industry News:

Amazon Web Services (AWS) (April 24, 2020) - AWS Announces General Availability of Amazon Augmented Artificial Intelligence (A2I) - 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.

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Top Leading Key in Players Global AI Governance Market: IBM, Google, Facebook, AWS, Microsoft, Salesforce, SAP, FICO, 2021.AI, ZestFinance, SAS Institute, Pymetrics, H2O.AI, integrate.ai and others. New product launches and continuous technological innovations are the key strategies adopted by the major players.

With the presence of a large pool of participants, the Global AI Governance Market is displaying a highly competitive business landscape, finds a new research report by Business Industry Reports (BIR). IBM, Google, Facebook, AWS, Microsoft, Salesforce, SAP, FICO, 2021.AI, ZestFinance, SAS Institute, Pymetrics, H2O.AI, integrate.ai are some of the key vendors of AI Governance across the world. These players across AI Governance Market are focusing aggressively on innovation, as well as on including advanced technologies in their existing products.

Region segment: AI Governance Market report is segmented into several key regions, with sales, revenue, market share (%) and growth Rate (%) of AI Governance in these regions, from 2013 to 2025 (forecast), covering: North America, Europe, Asia Pacific, Middle East & Africa and South America

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Major Points in Table of Contents:

Global AI Governance Market Report 2020

1 AI Governance Product Definition

2 Global AI Governance Market Manufacturer Share and Market Overview

2.1 Global Manufacturer AI Governance Shipments

2.2 Global Manufacturer AI Governance Business Revenue

2.3 Global AI Governance Market Overview

3 Manufacturer AI Governance Business Introduction

3.1 IBM AI Governance Business Introduction

3.2 Google AI Governance Business Introduction

3.3 Facebook AI Governance Business Introduction

3.4 AWS AI Governance Business Introduction

3.5 Microsoft AI Governance Business Introduction

3.6 Salesforce.com AI Governance Business Introduction

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