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Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI

Cloudera

Traditional machine learning (ML) models enhance risk management, credit scoring, anti-money laundering efforts and process automation. Some of the biggest and well-known financial institutions are already realizing value from AI and GenAI: JPMorgan Chase uses AI for personalized virtual assistants and ML models for risk management.

Finance 70
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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

Additionally, they need streaming architectures to handle growing trade volumes, market volatility, and regulatory demands. We also used FactSet’s market data solutions for historical and streaming market quotes and trades. Deploy the solution You can use the following AWS CloudFormation template to deploy the solution.

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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. The market for financial analytics was worth $8.2 According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI.

ROI 72
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Takeaways from Forrester’s Latest Report on Enterprise Architecture Management Suites

erwin

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? Assess Variables.

Risk 79
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Data protection strategy: Key components and best practices

IBM Big Data Hub

A data protection strategy is a set of measures and processes to safeguard an organization’s sensitive information from data loss and corruption. Data risk management To protect their data, organizations first need to know their risks. What is a data protection strategy?

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CIOs are worried about the informal rise of generative AI in the enterprise

CIO Business Intelligence

Employees are using it to develop software, write code, create content, and prepare sales and marketing plans. Today, it is, as they create a mysterious new risk and attack surface to defend against. This includes documentation of the risks and potential impacts of AI technology. Privacy leaks?