IBM Big Data Hub

DECEMBER 4, 2023

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. The tools and technology to analyze this data have advanced also of course. Another example is fleet management.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

datapine

FEBRUARY 22, 2022

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. However, it is possible to identify some potential drawbacks and apply risk management practices in advance. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

JULY 6, 2023

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. Another benefit is greater risk management. IA at scale — tips for success Experts weighed in with tips on how to successfully use IA at scale.

Cost-Benefit 118

Cost-Benefit Technology Unstructured Data Testing 118

Jet Global

MAY 9, 2024

ELT can simplify the data pipeline by reducing the number of steps and tools involved, but it may rely on the destination system’s ability to handle complex transformations effectively. In an ETL process, data transformations can be optimized before loading, which may improve performance for data-intensive transformations.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

AUGUST 28, 2023

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. This accessibility of data is vital to business growth, but has also resulted in a significant increase in risk.

Management 52

Management Risk Risk Management Data Processing 52

bridgei2i

APRIL 9, 2019

Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. The banking sector that makes the most use of AI is wealth management. This is where AI companies come into the picture.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

bridgei2i

APRIL 23, 2020

Better Forecasting and Optimization. Banks have to analyze their portfolio performance at a granular level monthly to identify dynamic risk areas. They also have to assess loss forecasting and reserving based on new data sources. Improving bottom lines with AI-powered upsell and cross-sell suggestions also becomes possible.

Risk 52

Risk Management Scorecard Forecasting 52

bridgei2i

MAY 21, 2019

Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. The banking sector that makes the most use of AI is wealth management. This is where AI companies come into the picture.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40