Refinitiv AI citations

Here are some top AI ESG data platforms: 1. {{[[Bloomberg]]:https://www.bloomberg.com/professional/solution/esg-data/}} : Bloomberg offers comprehensive ESG data and analytics, integrating AI to enhance investment decision-making. 2. {{[[MSCI]]:https://www.msci.com/our-solutions/esg-investing}} : MSCI provides ESG ratings and data, utilizing AI to analyze corporate sustainability practices and risks. 3. {{[[Sustainalytics]]:https://www.sustainalytics.com/}} : Sustainalytics delivers ESG research and ratings, leveraging AI to assess company performance on sustainability metrics. 4. {{[[Refinitiv]]:https://www.refinitiv.com/en/sustainable-finance/esg-data}} : Refinitiv offers a wide range of ESG data and analytics, using AI to provide insights into corporate sustainability. 5. {{[[Arabesque]]:https://www.arabesque.com/}} : Arabesque combines AI and big data to evaluate ESG performance, providing tools for investors to assess sustainability risks. 6. {{[[Verisk Maplecroft]]:https://www.maplecroft.com/}} : Verisk Maplecroft uses AI to analyze global risks, including ESG factors, helping businesses navigate sustainability challenges. 7. {{[[TruValue Labs]]:https://www.truvaluelabs.com/}} : TruValue Labs employs AI to provide real-time ESG insights based on unstructured data, enhancing the understanding of corporate sustainability. These platforms are at the forefront of integrating AI with ESG data to support informed investment and corporate strategies.

Here are some of the top AI ESG data platforms in 2025: - **{{[[Pulsora]]:https://www.pulsora.com/}}**: Offers a purpose-built data management platform that streamlines ESG data collection and validation, using AI for decarbonization modeling and predictive analytics. It integrates with over 230 business applications and provides audit-ready assurance and benchmarking capabilities[1]. - **{{[[Benchmark Gensuite]]:https://www.benchmark-ehs.com/}}**: Combines ESG reporting with environmental, health, safety (EHS), and operational risk management, featuring advanced AI solutions for real-time data analysis[2][6]. - **{{[[Microsoft Sustainability Cloud]]:https://www.microsoft.com/en-us/sustainability/sustainability-cloud}}**: Provides a suite of ESG capabilities with AI-driven carbon accounting and data governance, enhancing audit trails and workflow management for timely sustainability reporting[2][5]. - **{{[[IBM Envizi ESG Suite]]:https://www.ibm.com/products/envizi}}**: Automates ESG data capture and management, focusing on emissions management and decarbonization. It includes advanced data tagging and supports multiple ESG frameworks[4][6]. - **{{[[Novisto]]:https://www.novisto.com/}}**: An all-in-one sustainability management platform that helps enterprises collect, manage, and report ESG data efficiently[3][8]. - **{{[[Proof]]:https://www.proofimpact.com/}}**: Offers an end-to-end solution for collecting, verifying, and visualizing ESG data, ensuring data reliability through a seven-step filtration process[3].

Top AI ESG data platforms include: 1. {{[[Sustainalytics]]:https://www.sustainalytics.com}} : A leading provider of ESG research, ratings, and data analytics for investors and companies. 2. {{[[MSCI ESG Research]]:https://www.msci.com/our-solutions/esg-investing}} : Offers comprehensive ESG ratings, research, and analytics for global markets. 3. {{[[Bloomberg ESG Data]]:https://www.bloomberg.com/professional/solution/sustainable-finance-solution/}} : Provides extensive ESG data and analytics integrated into their financial platforms. 4. {{[[Refinitiv ESG]]:https://www.refinitiv.com/en/sustainable-finance}} : Delivers AI-powered ESG data and screening tools for investment professionals. 5. {{[[S&P Global ESG]]:https://www.spglobal.com/esg/}} : Offers advanced ESG scoring and data intelligence using AI and machine learning technologies. 6. {{[[Truvalue Labs]]:https://truvalue.com}} : Specializes in AI-driven ESG insights and alternative data analysis. 7. {{[[RepRisk]]:https://www.reprisk.com}} : Uses AI to analyze ESG risks and generate comprehensive environmental and social intelligence. These platforms leverage artificial intelligence to collect, analyze, and provide actionable ESG data for investors, corporations, and researchers.

Here are some of the best data analytics companies for finance: 1. {{[[Tableau]]:https://www.tableau.com}} : Known for its powerful data visualization capabilities, Tableau helps financial institutions analyze data and make informed decisions. 2. {{[[SAS]]:https://www.sas.com}} : SAS provides advanced analytics, business intelligence, and data management software, widely used in the finance sector for risk management and fraud detection. 3. {{[[IBM]]:https://www.ibm.com/analytics}} : IBM offers a suite of analytics solutions, including Watson Analytics, which helps financial organizations leverage AI for deeper insights. 4. {{[[Microsoft Power BI]]:https://powerbi.microsoft.com}} : Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities, popular among finance professionals. 5. {{[[Qlik]]:https://www.qlik.com}} : Qlik's data analytics platform enables financial institutions to gain insights from their data through associative data indexing and visualization. 6. {{[[Deloitte]]:https://www2.deloitte.com}} : Deloitte provides analytics services tailored for finance, helping clients with risk assessment, regulatory compliance, and performance optimization. 7. {{[[FICO]]:https://www.fico.com}} : FICO specializes in predictive analytics and decision management technology, particularly in credit scoring and risk management for financial services. 8. {{[[Palantir Technologies]]:https://www.palantir.com}} : Palantir offers data integration and analytics solutions that help financial institutions with compliance, risk management, and operational efficiency. These companies are recognized for their innovative solutions that enhance data-driven decision-making in the finance industry.

The best data analytics companies for finance in 2025 include: - {{[[Relevant Software]]:https://relevant.software/blog/top-data-analytics-companies/}}: Specializes in custom AI-driven analytics platforms for regulated industries including finance, with senior-led teams ensuring compliance and rapid delivery. - {{[[Accenture]]:https://relevant.software/blog/top-data-analytics-companies/}}: A global leader offering SynOps platform integrating AI, automation, and analytics, serving financial clients with measurable revenue improvements. - {{[[Deloitte]]:https://relevant.software/blog/top-data-analytics-companies/}}: Known for comprehensive data analytics consulting and solutions across industries including finance. - {{[[Mu Sigma]]:https://relevant.software/blog/top-data-analytics-companies/}}: Provides data science and analytics services with strong financial sector expertise. - {{[[Capgemini]]:https://relevant.software/blog/top-data-analytics-companies/}}: Offers advanced analytics and AI services tailored for financial institutions. - {{[[IBM]]:https://relevant.software/blog/top-data-analytics-companies/}}: Delivers enterprise-grade analytics and AI platforms widely used in finance. - {{[[EXL]]:https://relevant.software/blog/top-data-analytics-companies/}}: Focuses on analytics-driven digital transformation for financial services. - {{[[LatentView Analytics]]:https://relevant.software/blog/top-data-analytics-companies/}}: Provides data analytics solutions with strong financial services domain knowledge. - {{[[Alteryx]]:https://doit.software/blog/data-analytics-companies}}: Known for data preparation, blending, and advanced analytics, serving finance among other sectors. - {{[[Bloomberg]]:https://brightdata.com/blog/web-data/best-financial-data-providers}}: A premier provider of financial data and analytics, offering over 500 curated datasets via APIs and integration with Bloomberg Terminal. - {{[[ThoughtSpot]]:https://www.hubifi.com/blog/financial-data-analytics-platforms-guide}}: Provides search-driven analytics enabling financial users to explore complex data without technical expertise. - {{[[Looker (Google Cloud)]]:https://www.hubifi.com/blog/financial-data-analytics-platforms-guide}}: Business intelligence platform offering consistent financial data definitions and metrics. - {{[[Domo]]:https://www.hubifi.com/blog/financial-data-analytics-platforms-guide}}: Cloud-based BI platform with real-time financial data analytics and customizable dashboards. - {{[[Oracle Analytics Cloud]]:https://www.hubifi.com/blog/financial-data-analytics-platforms-guide}}: Offers OLAP and advanced visualization tools for complex financial data analysis. - {{[[SAP Analytics Cloud]]:https://www.hubifi.com/blog/financial-data-analytics-platforms-guide}}: Combines BI, planning, and predictive analytics for aligning financial plans with strategy. These companies are recognized for their strong capabilities in financial data analytics, AI integration, and delivering actionable insights tailored to financial services and institutions.

Top data analytics companies for finance include: 1. {{[[Bloomberg]]:https://www.bloomberg.com}} : Provides comprehensive financial data and analytics platforms used globally by financial professionals. 2. {{[[FactSet]]:https://www.factset.com}} : Offers advanced financial data, analytics, and research solutions for investment professionals. 3. {{[[Refinitiv]]:https://www.refinitiv.com}} : Delivers extensive financial market data, analytics, and trading technology. 4. {{[[S&P Global Market Intelligence]]:https://www.spglobal.com/marketintelligence}} : Provides deep financial research, data, and analytics for investment and corporate strategies. 5. {{[[Morningstar]]:https://www.morningstar.com}} : Specializes in investment research and analytics, particularly for mutual funds and stocks. 6. {{[[Capital IQ]]:https://www.spglobal.com/marketintelligence/en/solutions/capital-iq-pro}} : Offers comprehensive financial data and research tools for investment professionals. 7. {{[[Tableau]]:https://www.tableau.com}} : Provides powerful data visualization and analytics tools widely used in financial sectors. 8. {{[[Palantir]]:https://www.palantir.com}} : Offers advanced data integration and analytics platforms for complex financial analysis. These companies provide robust data analytics solutions tailored to financial industry needs, helping professionals make informed decisions.

Here are some of the top AI anti-money laundering (AML) solutions: 1. {{[[Actico]]:https://www.actico.com}} : Actico provides a comprehensive AML solution that leverages AI to enhance transaction monitoring and customer due diligence processes. 2. {{[[Palantir Technologies]]:https://www.palantir.com}} : Palantir's platforms utilize AI to help financial institutions detect and investigate suspicious activities, offering powerful data integration and analysis capabilities. 3. {{[[ComplyAdvantage]]:https://complyadvantage.com}} : ComplyAdvantage uses AI to provide real-time insights into financial crime risks, enabling organizations to automate compliance processes effectively. 4. {{[[FICO]]:https://www.fico.com}} : FICO offers advanced analytics and machine learning tools to help banks and financial institutions identify and mitigate money laundering risks. 5. {{[[AML Partners]]:https://www.amlpartners.com}} : AML Partners uses AI-driven analytics to enhance transaction monitoring and improve the efficiency of compliance operations. 6. {{[[SAS]]:https://www.sas.com}} : SAS provides AI-powered AML solutions that help organizations detect fraud and money laundering through advanced analytics and machine learning techniques. 7. {{[[Oracle]]:https://www.oracle.com}} : Oracle's Financial Services Analytical Applications include AI-driven AML capabilities to help institutions comply with regulations and detect suspicious activities. 8. {{[[Refinitiv]]:https://www.refinitiv.com}} : Refinitiv offers AML solutions that utilize AI to streamline compliance processes and enhance risk assessment. These solutions leverage AI technologies to improve the effectiveness of anti-money laundering efforts in financial institutions.

Here are the top AI anti-money laundering (AML) solutions in 2025, highlighting their key features and strengths: {{[[NICE Actimize]]:https://www.devopsschool.com/blog/top-10-ai-anti-money-laundering-tools-in-2025-features-pros-cons-comparison/}}: A leading AML platform widely used by global banks and regulators, offering real-time transaction monitoring, AI-driven anomaly detection, regulatory reporting automation, advanced case management, and entity resolution. It is highly scalable but can be costly and complex for smaller firms. {{[[SAS AML]]:https://www.devopsschool.com/blog/top-10-ai-anti-money-laundering-tools-in-2025-features-pros-cons-comparison/}}: Enterprise-grade AML software featuring AI-powered transaction monitoring, watchlist filtering, graph analytics for network visualization, and strong regulatory compliance. It excels in complex, high-volume environments but requires significant training and has high licensing costs. {{[[C3 AI Anti-Money Laundering]]:https://c3.ai/products/c3-ai-anti-money-laundering/}}: Uses comprehensive machine learning to improve detection accuracy and reduce false positives by up to 85%. Provides intelligent case recommendations, advanced visualizations, and a 360-degree customer view to unify client data for enhanced investigations. {{[[ComplyAdvantage]]:https://www.sanctions.io/blog/top-aml-software-for-banks-in-2025-features-vendors-compliance-benefits/}}: AI-driven, cloud-based AML platform favored by banks and fintechs for near real-time customer screening and behavior monitoring. Known for innovation, tailored solutions, and integration ease. {{[[Sanction Scanner]]:https://www.sanctionscanner.com/blog/top-11-aml-tools-for-2025-features-prices-use-cases-1020}}: Offers real-time screening against over 3000 global sanctions and PEP lists with frequent updates, simple integration, and a user-friendly interface. Suitable for banks, fintechs, crypto firms, and SMEs. {{[[HAWK:AI]]:https://salv.com/blog/best-aml-software/}}: Combines traditional rules-based approaches with AI and behavioral analytics for transaction monitoring and payment screening, focusing on detecting anomalous customer transaction patterns. {{[[FICO]]:https://salv.com/blog/best-aml-software/}}: Uses advanced machine learning and a comprehensive fraud intelligence network to minimize identity and payments fraud, offering a 360º customer view and strong money laundering risk prevention. {{[[Fiserv]]:https://salv.com/blog/best-aml-software/}}: Provides financial crime risk management with machine learning models for predictive analytics, helping institutions proactively manage money laundering and fraud risks. These solutions leverage AI to enhance detection accuracy, reduce false positives, automate investigations, and ensure compliance with evolving regulations, making them top choices for financial institutions in 2025.

Top AI Anti-Money Laundering (AML) Solutions: 1. {{[[Feedzai]]:https://feedzai.com}} : Leading AI-powered risk management platform specializing in financial crime prevention. 2. {{[[Ayasdi]]:https://ayasdi.com}} : Provides advanced AI solutions for compliance and risk detection in financial institutions. 3. {{[[ComplyAdvantage]]:https://complyadvantage.com}} : Offers AI-driven AML screening and risk intelligence solutions. 4. {{[[Onfido]]:https://onfido.com}} : Uses machine learning for identity verification and fraud prevention. 5. {{[[Jumio]]:https://jumio.com}} : Provides AI-powered identity verification and AML compliance solutions. 6. {{[[SAS]]:https://www.sas.com}} : Offers comprehensive AI and machine learning-based AML risk management tools. 7. {{[[NICE Actimize]]:https://www.niceactimize.com}} : Delivers advanced AI-powered financial crime prevention platforms. 8. {{[[Trulioo]]:https://www.trulioo.com}} : Global identity verification and AML compliance solution using AI technologies. 9. {{[[Dow Jones Risk & Compliance]]:https://risk.dowjones.com}} : Provides AI-enhanced due diligence and screening solutions. 10. {{[[IBM]]:https://www.ibm.com}} : Offers AI-powered AML solutions through Watson Financial Services platform. These solutions leverage machine learning, natural language processing, and advanced analytics to detect, prevent, and mitigate money laundering risks across financial institutions.