Remove Big Data Remove Predictive Modeling Remove Risk
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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

Big Data 139
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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111
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Transforming IT from cost center to catalyst

CIO Business Intelligence

In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry. We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. Risk management is essential, but it shouldn’t stifle innovation.

IT 120
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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70
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Think Big – Applying Analytics to Injury Claims Is the Next Challenge for Law Firms

Smart Data Collective

The legal sector is still in its infancy when it comes to big data and analytics. Using analytics implies utilizing data to supplement the knowledge, judgement, and experience in the decision-making process and evaluating the situations from a new perspective. Big data can help lawyers chose cases.

Analytics 128
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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. Financial services: Develop credit risk models. from 2022 to 2028.

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Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

IBM Big Data Hub

Years’ worth of aggregated data in the NICU could help lead us to a solution. The challenge was gleaning relevant insights from the vast amount of data collected to help identify those infants at risk. We wanted to be able to help them observe and monitor the thousands of data points available to make informed decisions.

Risk 52