Remove Examples Remove Financial Services Remove Insurance Remove Metadata
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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).

GDPR 100
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5 Recommendations for a Hybrid Cloud and On-Prem Approach

AIIM

Although cloud services can drive cost savings, their main value lies in supporting a fast-moving digital business transformation. One specific example is the case of a large insurance company. Consider the challenge for a Fortune 100 financial services company at tax time.

Cloud 104
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The most valuable AI use cases for business

IBM Big Data Hub

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival. Routine questions from staff can be quickly answered using AI.

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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.

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SER’s growth double that of ECM market competition

Info Source

Doxis4 has a competitive market advantage due to the fact that it brings together ECM, BPM, collaboration and EFSS onto one unified technological platform with uniform metadata management. “As a premium vendor, we constantly focus on innovation and quality. Visionary and Strong Performer.

ECM 40
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Data Governance Tools: What Are They? Are They Optional?

erwin

Such examples were persuasive and pervasive, leading to the rise of data governance adoption. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) requires organizations in the healthcare space to protect the privacy and security of certain health information.

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Data Governance Tools: What Are They? Are They Optional?

erwin

Such examples were persuasive and pervasive, leading to the rise of data governance adoption. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) requires organizations in the healthcare space to protect the privacy and security of certain health information.