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Collibra AI Governance and de-risking unstructured data at Ohalo

Collibra

Many of Collibra’s customers already have AI fed with high quality structured data. What they want is the same thing for unstructured data — in an easy-to-use, well-integrated fashion. From an architectural standpoint, it’s not on edge — but you can think of it as edge for unstructured data,” Kyle explains.

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Document Processing Vs. Robotic Process Automation

AIIM

For many businesses, content and data capture tools are highly sought out, particularly in the banking and insurance sectors. With so many different types of documents required to operate and adhere to compliances, the need for capturing data accurately and quickly, especially unstructured data, is ever growing.

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Document Processing Vs. Robotic Process Automation

AIIM

For many businesses, content and data capture tools are highly sought out, particularly in the banking and insurance sectors. With so many different types of documents required to operate and adhere to compliances, the need for capturing data accurately and quickly, especially unstructured data, is ever growing.

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How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

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Why DSPM is Essential for Achieving Data Privacy in 2024

Security Affairs

million terabytes of data are created daily. According to other reports, most of that data is unstructured. As organizations deal with such high volumes of dark and unstructured data, most of this data contains sensitive information , making it a primary target for data breach attacks.

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Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.