Recently published report, titled "Insurance Analytics Market 2019 Size, Share and Global Trend By Component Type (Tool, Services), End User, Business Application (Claim management, Risk management, Process optimization, Customer management and personalization, Others) material, technology and Geography Forecast by 2025" was published by Esticast Research And Consulting. Insurance Analytics market report is based on present industry situations, market demands, business strategies utilized by prominent players involved in this market along with their growth synopsis. This report has been segmented into types, applications and regions. The report also comprises major drivers boosting this market. Key companies profiled in Insurance Analytics Market report are (IBM Corporation, Oracle Corporation, Microsoft Corporation, SAP SE, Salesforce) and more in term of company basic information, Production, Application, Product Introduction, Revenue, Price and Gross Margin, etc.
Shares of Microsoft Corporation (MSFT) ended the trading day Monday at $85.54, representing a move of -0.21%, or $0.18 per share, on volume of 18.72 million shares. Microsoft Corp is a technology company. It develop, license, and support a wide range of software products and services. Its business is organized into three segments: Productivity and Business Processes, Intelligent Cloud, and More Personal Computing. After opening the trading day at $85.63, shares of Microsoft Corporation traded between a range of $85.50 and $86.05.
Description: Data Science Platform -Global Market Status and Trend Report 2013-2023 offers a comprehensive analysis on Data Science Platformindustry, standing on the readers' perspective, delivering detailed market data and penetrating insights. No matter the client is industry insider, potential entrant or investor, the report will provides useful data and information. A data science platform is a framework of the entire life cycle of a data science project. Data science platform contains all the tools required for executing the lifecycle of the data science project spanning across different phases such as data ideation, integration and implementation, model development and model deployment. Data science platform helps organizations to enhance their analysis by helping them run, track, reproduce, share and deploy analytical models faster.
The ability of the computer program to imitate the human intelligence needed for the task is termed as artificial intelligence (AI). Integration of the artificial intelligence in education sector creates revolution through its result driven approach. The applications in solving the issues such as language processing, reasoning, planning, and cognitive modeling increases the demand for the AI in the education sector. In another learning approach, AI can help organize and synthesize content to support content delivery. The Research Insights has added a new report to its source.
In this report Artificial Intelligence In Agriculture is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022. Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Artificial Intelligence In Agriculture in these regions, from 2012 to 2022 (forecast), covering North America, Europe, China, Japan, Southeast Asia, India.