Remove Data Integration Remove Management Remove Risk Management Remove Unstructured Data
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Back to the Financial Regulatory Future

Cloudera

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

The answers to these foundational questions help you uncover opportunities and detect risks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Semantic model management – events schema and instance management as well as taxonomical alignment.

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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients.

Finance 98
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The 10 most in-demand IT jobs in finance

CIO Business Intelligence

But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech. You’ll also be expected to stay on top of latest tech trends, work closely with product managers, and assist in building cloud-based solutions for financial clients.

Finance 98
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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

These steps are imperative for businesses, of all sizes, looking to successfully launch and manage their business intelligence. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. We love that data is moving permanently into the C-Suite.

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Making intelligent automation work at scale

CIO Business Intelligence

The COE has made it easier to scale IA by helping develop, deploy, and manage automation efforts throughout the business. For example, IDP uses native AI to quickly and accurately extract data from business documents of all types, for both structured and unstructured data,” Reis says.

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What is a Data Pipeline?

Jet Global

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. structured, semi-structured, or unstructured data).