Global AI Governance report from Global Insight Services is the single authoritative source of intelligence on AI Governance market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters’ and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.
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KEY MARKET PLAYERS
The AI governance market report includes players such as Alphabet Inc., Microsoft, IBM, Amazon Web Services, Inc., SAS Institute Inc., Facebook, Inc., SAP SE, Salesforce.com Inc., Dataiku, and Kyndi, Inc.
KEY MARKET SEGMENTS
The AI governance market report is bifurcated on the basis of component, deployment mode, organization size, industry vertical, and region. On the basis of component, it is segmented into solutions and services. Based on deployment mode, it is analyzed across cloud and on-premises. By organization size, it is categorized into large enterprises and small & medium enterprises. By vertical, it is divided into BFSI, government & defense, healthcare, and others. Region-wise, it is studied across North America, Europe, Asia-Pacific, and rest of the World.
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KEY DRIVERS
The key drivers of the AI Governance market are transparency, accountability, privacy, security, and trustworthiness.
Accountability: The need for accountability in AI governance is driven by the potential for harm that can be caused by AI systems. AI systems can make decisions that have a negative impact on people or the environment. accountability can help to ensure that AI systems are used responsibly and that those who are responsible for them are held accountable for any harm that they cause.
Privacy: The need for privacy in AI governance is driven by the fact that AI systems often have access to large amounts of data. This data can include personal information about individuals, which can be used to identify them or to make decisions about them. Privacy concerns can also arise from the use of data for training and testing AI systems.
Security: The need for security in AI governance is driven by the fact that AI systems can be used to launch attacks. AI systems can be used to exploit vulnerabilities in computer systems or to create new vulnerabilities. Security concerns can also arise from the use of data for training and testing AI systems.
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