(EnergyIndustry.Net, July 16, 2021 ) AI governance is a concept that advocates for the creation of legal frameworks that allow for the ethical deployment of machine learning (ML) and other AI-based technologies. The AI governance process consists of a framework and policies with the goal of developing, designing, and constantly monitoring machine learning algorithms and models (ML). This is done to ensure that the results are not skewed in any way. The government must highlight and focus on the use of AI systems that is accountable, transparent, and ethical.
Various factors are expected to drive the adoption of AI governance solutions and services, including an increase in government initiatives to leverage AI technology, a rise in the need for building trust in AI systems and a rise in demand for transparency in AI decisions, and an increase in regulatory compliances around the technology. With persistent geopolitical conflicts, worldwide trade battles, and the odd storms and earthquakes, managing and monitoring credit, market, liquidity, and operational risk across financial markets was difficult enough.
The AI Governance Analytics market study includes regional information for North America, Europe, Asia Pacific, and the Rest of the World. The AI Governance Analytics market is further split by major countries such as the United States, Canada, Germany, the United Kingdom, France, Italy, China, India, Japan, Brazil, South Africa, and others for each region.
This report offers the major market player’s profiles, such as SAS Institute, Google LLC, Amazon Web Services, IBM Corporation, Integrate.ai, Facebook, Microsoft Corporation, SAP ERP, H2O.ai, and Sales force.
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