CIO Business Intelligence

MARCH 20, 2024

Moreover, new sources of ever expanding data produced by generative AI and the unfettered growth of unstructured data introduce even more challenges. Password strategies. Data at rest. Data at rest. Data in motion. Cyber insurance. There’s the complexity of security in the organization.

IoT 65

IoT Unstructured Data Insurance Data Processing 65

Cloudera

DECEMBER 3, 2020

I came to the organization because of my interest in data & analytics specific to the insurance industry. Here are a few examples: Insurance: Now more than ever Insurers need to use technologies such as analytics and cloud to their advantage. It gives me all my fruits and veggies with an added boost! Reference Blog.

Insurance 53

Insurance Unstructured Data Manufacturing Data-driven 53

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

FEBRUARY 2, 2023

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

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

IBM Big Data Hub

DECEMBER 1, 2023

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.

Insurance 98

Insurance Digital Transformation Unstructured Data Risk 98

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

bridgei2i

FEBRUARY 24, 2021

So Sunil over two decades in HR strategy and industrial transformation. Many organizations today are dealing with large amounts of structured and unstructured data. And the fresh challenge is to derive actionable insights from that data, which is impacting their business outcomes. Monica: Thank you. Meet the Speakers.

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 89

Unstructured Data Structured Data Data Warehouse Testing 89

Cloudera

FEBRUARY 15, 2024

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. Well, sort of.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

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 97

Cost-Benefit Insurance Consulting Unstructured Data 97

CIO Business Intelligence

NOVEMBER 18, 2022

The cloud-based version of the platform has helped 3M HIS and its clients address three primary challenges: a disjointed patient care journey; the byzantine processes that often inhibit timely and accurate billing, reimbursement, and other record-keeping; and the ongoing need to protect and properly use patient data.

Insurance 76

Insurance Contextual Data Testing Unstructured Data 76

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.” That’s why it’s a likely next step in Analyzing Data for Fun and Profit.

Machine Learning 254

Machine Learning Testing Modeling Cost-Benefit 254

CIO Business Intelligence

MAY 24, 2022

Australian research and advisory firm Adapt identifies an organisation’s ability to execute a data-driven strategy as one of 12 core competencies , identified from 30,000 conversations spanning three years with leading IT and businesses. This is the first post in a series of three on data-driven organisations. Insurance.

Data-driven 96

Data-driven Data Lake Data Warehouse Cost-Benefit 96

Ontotext

SEPTEMBER 2, 2020

There must be a strategy and a practice for preserving the knowledge, to create institutional memory. Healthcare industries including pharma, biotech, agrochemical and insurance have been using knowledge graphs to improve discoverability in a number of new and innovative ways. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

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 59

Data Warehouse Unstructured Data Analytics Visualization 59

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 66

Data Warehouse Data Lake Cost-Benefit Metadata 66

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

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

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? A cloud migration strategy should begin with the questions, “Which data is most valuable to migrate?” Data Classification Use Cases.

Data Governance 52

Data Governance Risk Insurance Metadata 52