The Sustainable Development Goals (SDGs) of the United Nations provide a blueprint of a better future by 'leaving no one behind', and, to achieve the SDGs by 2030, poor countries require immense volumes of development aid. In this paper, we develop a causal machine learning framework for predicting heterogeneous treatment effects of aid disbursements to inform effective aid allocation. Specifically, our framework comprises three components: (i) a balancing autoencoder that uses representation learning to embed high-dimensional country characteristics while addressing treatment selection bias; (ii) a counterfactual generator to compute counterfactual outcomes for varying aid volumes to address small sample-size settings; and (iii) an inference model that is used to predict heterogeneous treatment-response curves. We demonstrate the effectiveness of our framework using data with official development aid earmarked to end HIV/AIDS in 105 countries, amounting to more than USD 5.2 billion. For this, we first show that our framework successfully computes heterogeneous treatment-response curves using semi-synthetic data. Then, we demonstrate our framework using real-world HIV data. Our framework points to large opportunities for a more effective aid allocation, suggesting that the total number of new HIV infections could be reduced by up to 3.3% (~50,000 cases) compared to the current allocation practice.

The global AI in retail market size is anticipated to reach USD 40.74 billion by 2030, expanding at a CAGR of 23.9% from 2022 to 2030, according to a new study by Grand View Research, Inc. The rising prominence of advanced technologies, such as chatbots and voice recognition programs, has furthered the growth potential. Moreover, the emerging online retail sales, increasing focus of retailers on improving customers' shopping experience, rising reliance on digital marketing, and growing investments in AI, accompanied by supportive government regulations, are the crucial factors contributing to the progress of the industry worldwide. Read 145 page full market research report for more Insights, "AI In Retail Market Size, Share & Trends Analysis Report By Component, By Technology (Chatbots, Natural Language Processing), By Sales Channel, By Application, By Region, And Segment Forecasts, 2022 - 2030", published by Grand View Research. AI algorithms play a pivotal role in assessing a considerable amount of data collated from consumers' online behavior.

Artificial Intelligence (AI) helps in predicting future trends based on analysis of past behavior of customers, and also helps banks to detect patterns in laundering, identify fraud, and make customer recommendations. These advantages are resulting in increasing deployment of AI in banking operations, which is driving revenue growth of the global Artificial Intelligence in BFSI market. AI understands customer behavior and allows banks to customize financial products and services by adding personalized features to build strong relationships with customers. Digital payment advisors, Artificial Intelligence bots, and biometric fraud detection mechanisms result in high quality of services to a wider customer base. AI helps in increasing revenue, reducing costs, and boosting potential of profit.

The global artificial intelligence in fintech market size is expected to reach USD 41.16 billion by 2030, growing at a CAGR of 16.5% from 2022 to 2030, according to a new report by Grand View Research, Inc. Artificial intelligence (AI) is widely used in financial organizations to improvise their precision levels, enhance their efficiency and instant query resolving through digital banking channels. AI technology like machine learning can help organizations raise their value by improving loan underwriting and eliminating financial risk. Organizations are also using it to build more robust fraud detection and prevention systems and help accelerate risk assessments and fraud detection. Get more Insights from 100-pages market research report, "Artificial Intelligence In Fintech Market Size, Share & Trends Analysis Report By Component (Solutions, Services), Deployment (Cloud, On-premise), By Application (Fraud Detection, Virtual Assistants), And Segment Forecasts, 2022 - 2030", published by Grand View Research. The AI in fintech market is expected to increase in the coming years due to advancement in technology that is boosting financial service providers' business processes.

Table 7. Rest of South and Central America Artificial Intelligence in Healthcare Market, by Component– Revenue And Forecast To 2027 (USD Million) Table 9. Rest of South and Central America Artificial Intelligence in Healthcare Market, by End User – Revenue and Forecast to 2027 (USD Million)

Brooklyn, New York, July 30, 2021 (GLOBE NEWSWIRE) -- According to a new market research report published by Global Market Estimates, the Global Artificial Intelligence in Livestock Farming Market is projected to grow at a CAGR value of around 25.6% during the forecast period [2021 to 2026]. Rapidly rising population clubbed with increasing poultry and dairy product consumption, and rising concern associated with livestock health and disease spread will positively affect the growth of the market. Browse 151 Market Data Tables and 111 Figures spread through 181 Pages and in-depth TOC on "Global Artificial Intelligence in Livestock Farming Market - Forecast to 2026"

Brooklyn, New York, June 23, 2021 (GLOBE NEWSWIRE) -- According to a new market research report published by Global Market Estimates, the Global Artificial Intelligence in Cement Production Market is projected to grow at a CAGR value of 28.5% during the forecast period [2021 to 2026]. The rising need for automation, as this industry is yet to transform into digitalization, increasing need to the rising cost of manual procedures, and rising need from the end-user industry for high-quality cement will help the AI in cement production market to grow rapidly. Browse 151 Market Data Tables and 111 Figures spread through 181 Pages and in-depth TOC on "Global Artificial Intelligence in Cement Production Market - Forecast to 2026"

Brooklyn, New York, June 22, 2021 (GLOBE NEWSWIRE) -- According to a new market research report published by Global Market Estimates, the Global Artificial Intelligence in Banking Market is projected to grow at a CAGR value of 24.5% during the forecast period of 2021 to 2026. The rising launch of advanced technologies such as AI-based core banking software for retail and commercial banks, also with increasing demand for hassle-free online and mobile banking services, and the increasing trend of offering customer-centric services will drive the market from 2021 to 2026. Browse 151 Market Data Tables and 111 Figures spread through 181 Pages and in-depth TOC on "Global Artificial Intelligence in Banking Market - Forecast to 2026"

The global Artificial Intelligence Market is expected to reach USD 348.99 Billion by 2027, according to a new report by Emergen Research. The increasing need for understanding consumer needs and market trends is one of the major factors driving the market growth. Moreover, the extensive adoption of smartphones, along with the popularity of social media, will also boost the growth of the market in the coming years. The global Artificial Intelligence market is classified on a product basis, application and end-user. Based on product, the market is segmented as systems, and services & software.

Robotic Process Automation Market Restraint/Challenges analysis 3.3.1.3.