Beginning January 1, 2023, the Department of Technology or any other state agency seeking to award a contract for goods or services that includes the use, licensing, or development of an automated decision system for a high-risk application shall encourage a bid response submitted by a prospective contractor to include an automated decision system impact assessment report that makes the following disclosures to the contracting agency:, (a) Specify the name, vendor, and version of the automated decision system and describe its general capabilities, capabilities and limitations, including, but not limited to, reasonably foreseeable capabilities outside the scope of its proposed use. and (b) Describe the purpose of the automated decision system, including, but not limited to, the decision or decisions it can make or support, support and its intended benefits compared to alternatives, including, but not limited to, the results of any research assessing information about its efficacy and relative benefits.

According to the report, Pushing the Robots to be Better Autonomous by Including Computer Visions through AI and ML to Stay Ahead of Market. is one of the primary growth factors for the market. The Rise In Demand For Intelligent Systems Which Are Enhanced And Efficient Also Automated In Robotics Industry Has Been Driving The Machine Learning And Artificial Intelligence Market. is also expected to contribute significantly to the Machine Learning Artificial intelligence market. Overall, IT and Telecommunication applications of Machine Learning Artificial intelligence, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The Components, such as Hardware, is boosting the Machine Learning Artificial intelligence market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Technology, such as Machine Learning, is boosting the Machine Learning Artificial intelligence market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Deployment, such as Cloud, is boosting the Machine Learning Artificial intelligence market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

New technologies and major shifts in the industry will be game-changing factors that all players have to react now in order to maintain strong positions in the future. As many industry experts agree that significant changes are ahead. AMA’s Analyst on the Global Machine Learning Artificial intelligence market identified that the demand is rising in many different parts of the world as "Raising Government Initiatives and Investments also Higher R&D Investments will Generate Many Opportunities.". Furthermore, some recent industry insights like "In June 2022, Wimbledon tennis returns along with IBM’s AI-powered app the software is powered by AI running on IBM Cloud and hybrid cloud technologies. A new feature for this year is “Win Factors,” which offers fans an increased understanding of the elements affecting player performance, such as court surface, ATP/WTA rankings, head-to-head history, ratio of games won, recent performance, yearly success, and media punditry, IBM said. Another new feature is “Have Your Say,” an interactive prediction tool that lets fans register their own forecasts for match outcomes and then compare their analysis with the aggregated predictions of other fans and IBM’s AI-powered Likelihood to win forecast." which is constantly making the industry very dynamic.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global Machine Learning Artificial intelligence market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2023 currency rates.

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Machine Learning Artificial intelligence market and other related sub-markets covered in the study.

o Key & emerging players in the market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall Machine Learning Artificial intelligence market size is calculated using market estimation process, the Machine Learning Artificial intelligence market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Machine Learning Artificial intelligence market size has been validated using both top-down and bottom-up approaches.