IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

bridgei2i

NOVEMBER 25, 2020

Many of the underlying processes in insurance which had already started evolving due to the adoption of digital and intelligent automation across functions have scaled substantially in the post-COVID world. With direct selling becoming obsolete, salespeople must fall back on digital channels, backed by a robust automated underwriting process.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

erwin

JANUARY 17, 2020

According to a 2018 survey by Tech Pro Research , 70 percent of survey respondents said their companies either have a digital transformation strategy in place or are working on one. 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

Cloudera

JUNE 22, 2023

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency. Flexibility.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

bridgei2i

OCTOBER 7, 2020

As face to face contact, operating offline offices, physical audits and ancillary processes face constraints; these increasingly move to the digital bandwagon. In days ahead, digital transformation will be the saviour and guide of the industry. Images 1: Challenges before insurance in the post-Corona world.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

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 98

Modeling Machine Learning Cost-Benefit B2B 98

bridgei2i

AUGUST 2, 2020

Intelligent Operations: The engine behind Digital Transformation. There are documents including images, emails etc. 2: Machine Learning – Once we can make sense of this data, in all its myriad forms, and read it, we need to understand patterns and anomalies from this data. that need to be checked.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

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 110

Insurance Digital Transformation Unstructured Data Risk 110

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

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 Lake 73

Data Lake Cost-Benefit Digital Transformation Risk 73

IBM Big Data Hub

NOVEMBER 10, 2023

The introduction of Generative AI offers to take this solution pattern a notch further, particularly with its ability to better handle unstructured data.

Cost-Benefit 107

Cost-Benefit Insurance Consulting Unstructured Data 107

IBM Big Data Hub

JUNE 21, 2023

IBM’s partnership with the All-England Lawn Tennis Club (AELTC) has driven digital transformation at Wimbledon for more than 30 years. And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx.

Consulting 80

Consulting Unstructured Data Digital Transformation Modeling 80

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

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? Using Alation, ARC automated the data curation and cataloging process. “So

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-driven Data Science 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 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Sisense

JULY 23, 2021

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Alation

AUGUST 4, 2022

In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). Big Data as an Enabler of Digital Transformation. Big data technologies have been foundational to digital transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

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 119

Cost-Benefit Technology Unstructured Data Testing 119

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