erwin

JANUARY 17, 2020

Thanks to organizations like Amazon, Netflix and Uber, businesses have changed how they leverage their data and are transforming their business models to innovate – or risk becoming obsolete. And 60% of companies that have undertaken digital transformation have created new business models. What is Data Modeling?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

JULY 14, 2023

“While you can power your own copilot using any internal data, which immediately improves the accuracy and decreases the hallucination, when you add vector support, it’s more efficient retrieving accurate information quickly,” Microsoft AI platform corporate VP John Montgomery says. Some are general, others more targeted.

Modeling 86

Modeling Machine Learning Cost-Benefit B2B 86

IBM Big Data Hub

DECEMBER 1, 2023

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering.

Insurance 106

Insurance Digital Transformation Unstructured Data Risk 106

Cloudera

NOVEMBER 18, 2021

The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions. To enable faster and easier access to millions of documents, ExxonMobil combined domain specific knowledge and a combination of Cloudera tools with cloud services. Data for Good.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

IBM Big Data Hub

NOVEMBER 10, 2023

These capabilities are needed to establish patient attribution, identify individual patients with gaps in care, and update the patient care plan with the necessary actions to address the patient risks and care gaps.

Cost-Benefit 104

Cost-Benefit Insurance Consulting Unstructured Data 104

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Otherwise, they risk a data privacy violation.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

AUGUST 1, 2023

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

Digital Transformation 97

Digital Transformation Unstructured Data Strategy Experimentation 97

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re also starting to see NLP [ natural language processing ] applied to unstructured text, such as categorizing an email or understanding the content of the email,” she says.

Cost-Benefit 116

Cost-Benefit Technology Unstructured Data Testing 116

Alation

NOVEMBER 22, 2022

This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Efficient Access To Data.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52