Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. A leading insurance player in Japan leverages this technology to infuse AI into their operations.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

Cloudera

FEBRUARY 7, 2023

billion adults around the world do not have access to formal financial services, meaning that they cannot open a bank account or access credit, insurance, or other financial products. Cloudera Data Platform (CDP) has also been instrumental in helping banks solve the issue of financial inclusion in underserved communities.

Technology 76

Technology Unstructured Data Insurance Machine Learning 76

IBM Big Data Hub

NOVEMBER 10, 2023

The rule laid out an interoperability journey that supports seamless data exchange between payers and providers alike — enabling future functionalities and technically incremental use cases. These requirements enable the exchange of important data between healthcare payers and providers.

Cost-Benefit 95

Cost-Benefit Insurance Unstructured Data Consulting 95

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.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

bridgei2i

MARCH 9, 2021

A top AI data company will have clients from all industries. Their AI-powered data solutions can transform the way any business uses its data. For instance, an AI-powered data analytics company can help sellers of consumer goods better understand their customers. on consumer data. Free-Time for Employees.

Technology 52

Technology Unstructured Data Insurance Sales 52

AWS Big Data

AUGUST 3, 2023

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

Alation

FEBRUARY 13, 2020

At some level, every enterprise is struggling to connect data to decision-making. In The Forrester Wave: Machine Learning Data Catalogs, 36% to 38% of global data and analytics decision makers reported that their structured, semi-structured, and unstructured data each totaled 1,000 TB or more in 2017, up from only 10% to 14% in 2016.

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

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

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71

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 Business Objectives 52

IBM Big Data Hub

FEBRUARY 14, 2024

Energy Companies in the energy sector can increase their cost competitiveness by harnessing AI and data analytics for demand forecasting, energy conservation, optimization of renewables and smart grid management. This way, they are also able to calculate the risk of an individual or entity and calculate the appropriate insurance rate.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

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

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Insurance.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Today’s models, norms, and averages are being re-written on the fly, with insurers forced to cope with the inevitable conflict between old standards and the new normal. . Insurers are thinking on their feet.

Insurance 72

Insurance Unstructured Data Digital Transformation Cost-Benefit 72