CIO Business Intelligence

OCTOBER 3, 2023

Hyperautomation is a key enabler of digital transformation, often touted as being necessary for an organisation’s survival, but often hampered by economic pressures and talent shortages. Having clear goals will guide your approach and strategy. Gartner sees these inhibitors driving an annual 11.9 trillion by 2026. .

Cost-Benefit 111

Cost-Benefit Machine Learning Interactive Software 111

bridgei2i

OCTOBER 7, 2020

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. 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.

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 129

Data Architecture Data Warehouse Statistics Visualization 129

erwin

JANUARY 17, 2020

Companies that want to advance artificial intelligence (AI) initiatives, for instance, won’t get very far without quality data and well-defined data models. With the right approach, data modeling promotes greater cohesion and success in organizations’ data strategies. But what is the right data modeling approach?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

JULY 14, 2023

Panasonic’s B2B Connect unit used the Azure OpenAI Service to build its ConnectAI assistant for internal use by its legal and accounting teams, as well as HR and IT, and the reasoning was similar, says Hiroki Mukaino, senior manager for IT & digital strategy. “We Some are general, others more targeted.

Modeling 90

Modeling Machine Learning Cost-Benefit B2B 90

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. The initial use of generative AI is often for making DevOps more productive.

Insurance 102

Insurance Digital Transformation Unstructured Data Risk 102

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 101

Cost-Benefit Insurance Consulting Unstructured Data 101

Alation

MARCH 21, 2023

Organizations in the travel and tourism vertical use big data and analytics to find patterns in structured and unstructured data that allow them to make informed business decisions. What are common data challenges for the travel industry? They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

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

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. ISL is a crucial factor to empower digital transformation and decrease the threat of disruption.

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 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Sisense

JULY 23, 2021

“We are also working to factor in the COVID impact when making sense of the data and, more importantly, when communicating it.”. Chris and his team are increasing the volume of data being captured and using automation to augment their data strategy : “This is a real jump forward for us.

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

An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Setting data management policies, like tagging data. Data governance is the foundation for these strategies. Data breach mitigation measures.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52