AI Governance Market report by MarketsandMarkets

[107 Pages Report] To provide detailed information regarding the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market

Posted on 2020-12-21 by MarketsandMarkets in Technology // 0 Comments

Northbrook, IL 60062, USA, 2020-Dec-21 — According to a research report “AI Governance Market by Component (Solutions (Platforms and Software Tools) and Services), Vertical (BFSI, Healthcare and Life Sciences, Government and Defense, Telecom, Retail, and Automotive), and Region – Global Forecast to 2025”, published by MarketsandMarkets, the AI governance market size is expected to grow from USD 51 million in 2020 to USD 316 million by 2025, at a CAGR of 44.3% during the forecast period. The increasing government initiatives to leverage the benefits of AI and increasing need for building trust in AI systems are some of the major factors driving the growth of the AI governance market.

Browse in-depth TOC on “AI Governance Market”

28 – Tables

41 – Figures

107 – Pages

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IBM (US) is one of the leading AI and analytics solution providers. It offers AI-based solutions and services to help marketers automate and operationalize their business processes, thereby driving their revenues. The company entered into the AI governance market space by launching 2 products, namely AI Fairness 360 open-source toolkit and Watson-based OpenScale platform. In September 2018, the company launched AI Fairness 360 open-source toolkit, and in October 2018, it has launched Watson based OpenScale platform respectively, to help organizations govern their AI models across its life cycle and provide fair outcomes. The customers can avail the OpenScale platform through cloud or the on-premises deployment model. The platform comprises Machine Learning (ML) and deep learning frameworks, which help in gaining impartial outcomes in the production model. The OpenScale platform helps application developers, data scientists, and enterprises track and monitor AI models across its life cycle. Apart from this, IBM announced new software capability, Watson-based Business Automation Intelligence software, which would be available soon to help business leaders use AI into applications to automate business processes. These initiatives show that IBM is increasingly working toward innovation and product development to gain a competitive advantage.

Google (US), a multinational technology company, has a strong presence in various regions. It is one of the key players in the AI governance market. It offers What-If Tool, an open-source toolkit, to govern the AI algorithm across its life cycle. The company has been adopting systematic approaches and undertaking various growth strategies to strengthen its product portfolio. For instance, the company has been continuously updating various APIs in the AI governance market. In April 2019, Google Cloud launched the beta version of the AI-powered Policy Intelligence solution to enable administrator to make required necessary changes for higher security. The solution uses ML techniques and cloud stipulations, and helps in data ingestion to improve system performance. In July 2019, the company added new capabilities to its What-If Tool to enable users to use this tool for XGBoost and Scikit-learn models that are deployed on the AI platform. The user can enable this capability by using the method call.

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