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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Across the financial sector, there are transition risks to consider as we move to a low-carbon economy. Financial services firms can use the tool for “what if?”

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Accelerate hybrid cloud transformation through IBM Cloud for Financial Service Validation Program

IBM Big Data Hub

IBM has created the solution for this problem with its Financial Services Cloud offering, and its ISV Financial Services validation program, which is designed to de-risk the partner ecosystem for clients. IBM Cloud Framework for Financial services is uniquely positioned for that, meeting all these requirements.

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6 benefits of data lineage for financial services

IBM Big Data Hub

The financial services industry has been in the process of modernizing its data governance for more than a decade. How can banks, credit unions, and financial advisors keep up with demanding regulations while battling restricted budgets and higher employee turnover? Data lineage helps during these investigations.

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Enterprise Architecture: Secrets to Success

erwin

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? operating strategy, global business services and shared services)?

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

Jump ahead to: Prioritize Data Protection Document Your Response Process Make Users Part of the Process Understand Business Context Be Thorough Proactively Collect and Organize Data Don’t Forget Network Analysis Train and Drill Enlist Outside Help Go on the Offensive 1. This varies between organizations.

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Top 7 Data Governance Blog Posts of 2018

erwin

In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data. Data Governance 2.0 for Financial Services. www.erwin.com/blog/data-governance-2-0-financial-services/. Understanding and Justifying Data Governance 2.0.

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AI Governance: Break open the black box

IBM Big Data Hub

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( Use your model: Transparent and explainable AI requires the automation of the analysis of model performance against KPIs while continuously monitoring in real-time for bias, fairness and accuracy.