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AI Governance: Break open the black box

IBM Big Data Hub

With the growing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries such as financial services, healthcare and telecom.

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Bring light to the black box

IBM Big Data Hub

Scaling with growing AI regulations With the increasing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries like financial services, healthcare and telecom.

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Keeping Up with New Data Protection Regulations

erwin

Some industries, such as healthcare and financial services, have been subject to stringent data regulations for years: GDPR now joins the Health Insurance Portability and Accountability Act (HIPAA), the Payment Card Industry Data Security Standard (PCI DSS) and the Basel Committee on Banking Supervision (BCBS). employees).

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erwin’s Predictions for 2021: Data Relevance Shines at the End of the Tunnel

erwin

Death of the Office” Alters Compliance: Because of the pandemic, many organizations have decided remote work is here to stay. As a result, look for more automated compliance solutions to hit the market. This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM).

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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? Regulatory compliance The financial space is highly regulated.

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How to responsibly scale business-ready generative AI

IBM Big Data Hub

This is especially true in highly regulated industries such as financial services and healthcare where the tolerance is very low for unethical, biased decisions based on incomplete or inaccurate data and models can have detrimental repercussions. What can you do now to scale generative AI responsibly? What is watsonx.governance?

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Top 7 Data Governance Blog Posts of 2018

erwin

But it’s important for organizations to understand that the benefits of data governance extend beyond just GDPR or compliance with any other internal or external regulations. In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data. for Financial Services.