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Baghdad (IraqiNews.com) Iraqi Prime Minister, Mustafa al-Kadhimi, during his meeting with Professor of artificial intelligence and the president of eSystems Engineering Society, Dhiya al-Jumeily, On Sunday, confirmed the governments interest in developing artificial intelligence facilities and supporting related scientific researches, according to a press statement issued by the Iraqi cabinet.

Kadhimi, during the meeting, commended the scientific accomplishments Jumeily achieved that also received great attention in the global scientific communities.

According to the cabinets press statement, Kadhimi emphasized the governments interest in supporting scientific researches specialized in artificial intelligence, encouraging Iraqs possession of a scientific base for this modern field, and developing Iraqi human resources specialized in this field.

On the other hand, Jumeily thanked the Prime minister for the reception, and praised the governments programs that seek to care about innovators, support them and develop their role in the society.

Jumeily is a professor in the School of Computer Science and Mathematics at Liverpool John Moores University. He has extensive research interests covering a wide variety of interdisciplinary perspectives concerning the theory and practice of Applied Artificial Intelligence in medicine, human biology, environment, intelligent community and health care.

The professor published over 300 peer reviewed scientific international publications, 12 books and 14 book chapters, in multidisciplinary research areas.

Artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

Artificial intelligence is a type of modern sciences that has spread widely in recent years, and entered many industrial and research fields, especially robotics and smart services for governments and companies.

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Iraqi government interested in artificial intelligence - Iraqi News

Australian organisations are predicted to spend around $3.6 billion on artificial intelligence systems in 2025, according to research from IDC.

The market research firm said the spending growth represents a compounded annual growth rate (CAGR) of 24.4 percent from 2020 to 2025, as organisations increase their investments to keep up with the changing digital environment.

In Australia, we continue seeing a rapid adoption of artificial intelligence systems across various industries, indicating strong demands from Australian organisations in streamlining of core business processes and maximising the power of their organisational data," IDC Australia senior market analyst for data and analytics Anastasia Antonova said.

"It is going to be very important for Australian businesses to continue investing in AI tools and platforms to support decision-making, become more digitally resilient, innovative and be one step ahead from competitors.

Banking will lead AI spending growth with a five-year CAGR of 23.1 percent, driven by use cases including fraud prevention, identifying threats in advance and improving custom recommendation systems. Government will be the second-highest spender, followed by professional services and retail.

IDC senior market analyst Vinayaka Venkatesh said, "To keep up with the changes in the digital environment, more than half the organisations surveyed in Australia are planning to increase their AI spend in 2022."

"Organisations have responded more firmly to the changes caused by the pandemic, increasing their use of AI to improve customer service, business processes, and digital assistance."

The top five use cases identified were augmented customer service agents, augmented threat intelligence and prevention systems, digital assistants, program advisors and recommendation systems and smart business innovation and automation. All five are used in the banking, financial services and insurance (BFSI) industry to reduce risk, make better decisions and provide a better customer service experience.

IDC said the five currently account for $750 million, or 40 percent of total AI spending, and the amount is expected to grow to 1.4 billion by 2025.

Software will be the leading technology, accounting for some 52.2 percent of AI spending. Within that, the largest areas of investment will be in AI applications and artificial intelligent platforms, accounting for more than 57.2 percent of total AI software spending, and the remaining will be spent on AI system infrastructure software and AI application development and deployment.

Services is the second most important technology, which will account for 29.5 percent of total AI spending, and the remaining 18.4 percent will go towards hardware.

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Australian artificial intelligence spending to reach $3.6 billion by 2025: IDC - CRN Australia

As per our research analysis, in 2021, the global Artificial Intelligence in Agriculture Market was valued at US$ 1.52 billion, and by 2027, it is predicted to reach a market capitalization of US$ 5.24 billion. Over the projection period of 2022-2027, it is expected to develop at a high CAGR of 26.35 percent.

The key market growth drivers will be rising globalization and the agricultural industrys embrace of new modern technology. Rising demand for high-quality agricultural products, supportive government policies and efforts to encourage modern agricultural technologies and practices, and increased industrialization will all exacerbate the market value. Increased research and development spending, as well as an increase in the use of drones on farms, will assist to move the market forward.

An increase in the adoption of cattle face recognition technology is driving the market. Dairy farms can now use advanced metrics like bovine facial recognition systems and picture classification along with body condition score and feeding habits to individually monitor all behavioral variables in a herd of cattle. Drones can be utilized in agriculture for crop field scanning with small multispectral imaging sensors, GPS map production with onboard cameras, heavy payload delivery, and livestock monitoring with thermal-imaging camera-equipped drones, all of which are increasing the industry, are the factors driving the Global Artificial Intelligence in Agriculture Market to carry the sustainable growth and share within the Global Artificial Intelligence in Agriculture Market.

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Segmentation Analysis:

The global Artificial Intelligence in Agriculture Market segmentation include:

By Technology: Machine Learning, Computer Vision, and Predictive Analytics.

During the forecast period, Predictive Analytics is predicted to have the largest share of the global Artificial Intelligence in Agriculture market. The agriculture industry has numerous challenges, including pesticide control, weed management, irrigation and drainage management, weather surveillance, and crop disease infestations. Farmers can use predictive analysis to analyses and manage these challenges using image analysis and neural networks. Predictive analytics will be used to deploy artificial intelligence. For instance, Ag Eagle Aerial Systems Inc., Microsoft, and Granular, Inc. cooperated on a prediction-based analytics technology to develop AI-enabled farming and agribusiness products and platforms.

By Offering: Software, Hardware, AI-as-a-Service, and Services.

During the forecast period, software is predicted to dominate the global artificial intelligence in agriculture market. However, a lack of uniformity in data collecting and sharing is stifling market growth. Machine learning, artificial intelligence, and advanced algorithm design have improved at rapid speed, yet agricultural data collecting has lagged far behind. However, a lack of information and technological skills will hinder the markets growth. Technological barriers, interoperability concerns, and a lack of standardization will limit the markets expansion even more. Large-scale technology limits in emerging economies, as well as high costs associated with precision field data collecting, would stifle industry expansion.

By Application: Precision Farming, Drone Analytics.

During the forecast period, Precision Farming is predicted to have the largest share of the global AI in agriculture market. One of the most quickly growing AI-enabled agricultural applications is precision farming. It assists farmers in lowering costs and maximizing resource utilization. Precision farming use artificial intelligence to collect, interpret, and analyses digital data. For example, GPS-enabled combine harvesters use artificial intelligence to track harvest yields and provide georeferenced data in order to analyses field variability, such as variations in water, soil chemistry, or fungus. Based on the information and projections, farmers can tailor fertilizers or pesticides. Agriculture robots with artificial intelligence can perform a variety of activities by combining artificial intelligence, field sensors, and data analytics.

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Regional Analysis:

During the forecast period, Europe is likely to dominate the global artificial intelligence in agriculture market. The European Soil Data Centre (ESDAC) is Europes thematic data center for soils, with the objective of serving as a single point of reference for all significant soil data and information at the European level. AI firms run the Internet of the Soil, a software and hardware system that monitors soil factors including humidity, temperature, electrical conductivity, and more in European countries.

During the forecast period, North America is predicted to hold the next largest share of the global artificial intelligence in agriculture market. North America is characterized by increased population purchasing power, ongoing automation initiatives, significant IIoT investments, and increased government concentration on in-house AI equipment production as a result of the regions strong industrial automation industry and adoption of artificial intelligence technologies. Artificial intelligence solutions are being investigated by a number of agricultural technology companies, which benefits the market.

During the forecast period, Asia-Pacific is predicted to have the highest CAGR in the Global Artificial Intelligence in Agriculture Market. The expanding usage of artificial intelligence in agriculture can be attributed to its expansion. Emerging economies like India and China are implementing artificial intelligence technologies like remote monitoring and predictive analysis in the food business. Furthermore, the growing need for smart cities in these economies is encouraging agribusiness businesses to incorporate AI-based products and services.

Latest Industry Developments:

Ninja cart wants to invest in cutting-edge technology to accelerate its ecosystem and will launch an Agri supply chain platform in Q2 to benefit stakeholders. This will help us solidify our position as a one-stop shop for farmers, retailers, small companies, and Kirana (grocery) stores.

Cropin has created an artificial intelligence-enabled platform that forecasts farm performance throughout the world using satellite imaging, weather, and ground data. The model has already been used to forecast a range of agricultural metrics at scale, including crop detection, crop health and stress, irrigation needs, yield, and so on, allowing businesses and farmers to make proactive and predictive decisions based on the data.

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Artificial Intelligence in Agriculture Market is expected to reach the value of 5.24 million USD by the end of 2027. - Digital Journal

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Artificial Intelligence Advisory Service Segmentation by Type:

Installation, Training, Customization, Application Integration, Support & Maintenance.

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BFSI, Telecommunications and IT, Retail and E-Commerce, Government and Defense, Healthcare, Manufacturing, Energy and Utilities, Construction and Engineering, Others

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Table of Content:

1 Scope of the Report1.1 Market Introduction1.2 Research Objectives1.3 Years Considered1.4 Market Research Methodology1.5 Economic Indicators1.6 Currency Considered2 Executive Summary3 Global Artificial Intelligence Advisory Service by Players4 Artificial Intelligence Advisory Service by Regions4.1 Artificial Intelligence Advisory Service Size by Regions4.2 Americas Artificial Intelligence Advisory Service Size Growth4.3 APAC Artificial Intelligence Advisory Service Size Growth4.4 Europe Artificial Intelligence Advisory Service Size Growth4.5 Middle East & Africa Artificial Intelligence Advisory Service Size Growth5 Americas6 APAC7 Europe8 Middle East & Africa9 Market Drivers, Challenges and Trends9.1 Market Drivers and Impact9.1.1 Growing Demand from Key Regions9.1.2 Growing Demand from Key Applications and Potential Industries9.2 Market Challenges and Impact9.3 Market Trends10 Global Artificial Intelligence Advisory Service Forecast11 Key Players Analysis12 Research Findings and Conclusion

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Artificial Intelligence Advisory Service Market Upcoming Trends, Segmented by Type, Application, End-User and Region -IBM, SAP, Google, Amazon,...

Global Artificial Intelligence For IT Operations Platform Market is growing at a High CAGR during the forecast period 2022-2028. The increasing interest of the individuals in this industry is that the major reason for the expansion of this market and This has brought along several changes in This report also covers the impact ofCOVID-19on the global market.

The latest research report, titled Artificial Intelligence For IT Operations PlatformMarket Added by Market Info Reports, provides the reader with a comprehensive overview of the Artificial Intelligence For IT Operations Platform Industry and familiarizes them with the latest market trends, industry information, and market share. The report content includes technology, industry drivers, geographic trends, market statistics, market forecasts, producers, and raw material/equipment suppliers. Global Artificial Intelligence For IT Operations Platform market size was xx million US$ and it is expected to reach xx million US$ by the end of 2028, with a CAGR of XX between 2022 and 2028.

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Market split by Type, can be divided into:Advanced AnalyticsMachine LearningNatural Language Processing (NLP)

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Market segment by Regions/Countries, this report covers:North AmericaEuropeChinaRest of Asia PacificCentral & South AmericaMiddle East & Africa

Years Considered to Estimate the Market Size:History Year: 2015-2019Base Year: 2019Estimated Year: 2022Forecast Year: 2022-2028

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Detailed TOC of Artificial Intelligence For IT Operations Platform Market Report 2022-2028:Chapter 1: Artificial Intelligence For IT Operations Platform Market OverviewChapter 2: Economic Impact on IndustryChapter 3: Market Competition by ManufacturersChapter 4: Production, Revenue (Value) by RegionChapter 5: Supply (Production), Consumption, Export, Import by RegionsChapter 6: Production, Revenue (Value), Price Trend by TypeChapter 7: Market Analysis by ApplicationChapter 8: Manufacturing Cost AnalysisChapter 9: Industrial Chain, Sourcing Strategy and Downstream BuyersChapter 10: Marketing Strategy Analysis, Distributors/TradersChapter 11: Market Effect Factors AnalysisChapter 12: Artificial Intelligence For IT Operations Platform Market ForecastContinued

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Artificial Intelligence For IT Operations Platform Market 2022 Strategic Analysis, Growth Drivers, Industry Trends, Demand and Future Opportunities...