Ontotext

JANUARY 29, 2024

This is because although generative AI can replace people in some cases, there is no professional liability insurance for LLMs. LLMs can optimize several tasks, such as updating taxonomies, classifying entities, and extracting new properties and relationships from unstructured data.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 3: All data warehouse migrations are the same, irrespective of vendors While migrating to the cloud, CTOs often feel the need to revamp and “modernize” their entire technology stack – including moving to a new cloud data warehouse vendor.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

bridgei2i

MARCH 9, 2021

Whether it’s a fin-tech company or an insurance agency – the input from AI-powered data analysis systems can help any business improve their customer experiences, optimize sales strategies, and ensure the business meets all compliance requirements. Businesses can now create two-tier strategies for their data analysis efforts.

Technology 52

Technology Unstructured Data Insurance Sales 52

FineReport

JULY 28, 2021

Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information. What is Data Science? Insurance Dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. The first platform is Command, a core agent-facing CRM that supports Keller Williams’ agents and real estate teams.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Both situations benefit from a technique that optimizes the search through a large and daunting solution space.

Machine Learning 245

Machine Learning Testing Modeling Cost-Benefit 245

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs enable content, data and knowledge-centric enterprises to improve repeated monetization of their assets by optimizing their reuse and repurposing as well as creating new products such as books, apps, reports, journal articles, content, and data feeds. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads.

Metadata 87

Metadata Big Data Optimization Unstructured Data 87

erwin

JUNE 27, 2019

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Other considerations include the ability to: Compare models and databases.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

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. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

bridgei2i

MAY 7, 2019

Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients.

IoT 40

IoT Unstructured Data Finance Data-driven 40

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. AI automates various financial processes of wealth management to offer tax-optimized and personalized investment experiences to their clients.

Unstructured Data 40

Unstructured Data Sales Data-driven Finance 40

Sisense

MAY 4, 2020

In his article in Forbes , he discussed how some of the biggest names in global business — Nike, Burger King, and McDonald’s — and progressive newer entrants to huge sectors like insurance, are embracing data and analytics technology as a platform on which to build their competitive advantages. Organizations must adapt or die.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

AWS Big Data

FEBRUARY 21, 2023

We dive deep into a hybrid approach that aims to circumvent the issues posed by these two and also provide recommendations to take advantage of this approach for healthcare data warehouses using Amazon Redshift. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

CIO Business Intelligence

AUGUST 1, 2023

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Strategy 52