CIO Business Intelligence

JANUARY 9, 2025

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. The model retains some context as it moves through the entire document.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

CIO Business Intelligence

OCTOBER 8, 2024

By Bryan Kirschner, Vice President, Strategy at DataStax Data scientists have long struggled with silos and cycle time. That’s partly because of an underlying structural tension between the traditional data science mission of turning “data into insights” versus the on-the-ground game of turning “context into action.”

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We use leading-edge analytics, data, and science to help clients make intelligent decisions. The document processing layer supports document ingestion and orchestration.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. Working with massive structured and unstructured data sets can turn out to be complicated. Preserve information: Keep your raw data raw. Speaking of which.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

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. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently.

Unstructured Data 118

Unstructured Data Data Warehouse Structured Data Testing 118

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. Legacy Data Solutions.

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

SEPTEMBER 12, 2024

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses. This needs to work across both structured and unstructured data, including data held in physical documents.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

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 Data Science 98

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

JUNE 5, 2023

To increase efficiency while working on various regulatory processes that assist in compliance through on-time submission of the regulatory documents, cost, improving performance, and enabling a speedy go-to-market timeline, we decided to leverage RPA,” she says, an increasingly popular approach to automating business processes.

Unstructured Data 98

Unstructured Data Sales Digital Transformation Strategy 98

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. NLTK is offered under the Apache 2.0 It was primarily developed at the University of Massachusetts Amherst.

Unstructured Data 142

Unstructured Data Data Science Machine Learning Data mining 142

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.” A single document may represent thousands of features.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

CIO Business Intelligence

OCTOBER 3, 2023

Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data. Having clear goals will guide your approach and strategy. Start by defining your organisation’s goals for hyperautomation.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

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

CIO Business Intelligence

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. The key to a successful AI strategy, in part, is the quality and cleanliness of both structured and unstructured data, he says.

IT 122

IT Manufacturing Unstructured Data Strategy 122

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

Smart Data Collective

NOVEMBER 20, 2022

5 communication strategies for the workplace. A communication strategy is the communication plans and methods a company applies at all stages. A few examples of communication strategies you can apply in your organization are: 1. The symbiosis between departments must be good for the communication strategy to be successful.

Technology 130

Technology Unstructured Data Strategy Cost-Benefit 130

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

CIO Business Intelligence

JANUARY 16, 2024

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

Cost-Benefit 130

Cost-Benefit Enterprise Unstructured Data Technology 130

bridgei2i

NOVEMBER 25, 2020

Automated Sales & Underwriting Strategies can Transform Insurance. The automated process can then be used to parse structured and unstructured data sources such as IoT data, claims data, physical proofs, social data, life health data, etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

AUGUST 21, 2024

Then there’s the risk of malicious code injections, where the code is hidden inside documents read by an AI agent, and the AI then executes the code. Sinclair Schuller, partner at EY, says there are a few main strategies to secure multi-agent AI, on top of guardrails already set up for underlying gen AI models.

Risk 136

Risk Insurance Cost-Benefit Software 136

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

AWS Big Data

FEBRUARY 26, 2025

x , which supports enhanced performance and security features, and native retry strategy. You can use the new connector to read data from a Kinesis data stream starting with Flink version 1.19. He is also the author of Simplify Big Data Analytics with Amazon EMR and AWS Certified Data Engineer Study Guide books.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Smart Data Collective

JUNE 7, 2019

Big Data is defined as a large volume of structured and unstructured data that a business comes across their day-to-day operations. However, the amount of data isn’t really a big deal. What’s important is the way organizations handle this data for the benefit of their businesses. Conclusion.

Big Data 104

Big Data Marketing Cost-Benefit Unstructured Data 104

CIO Business Intelligence

MAY 8, 2024

Automating complex projections and other calculations in the insurance industry is a vital undertaking, says Jeffrey Rivkin, research director for healthcare payer IT strategies at IDC Health Insights. Insurance companies can use AI to summarize long medical charts, to classify documents, and to find patterns in unstructured data, he says.

Insurance 111

Insurance IT Cost-Benefit Unstructured Data 111

CIO Business Intelligence

JANUARY 22, 2024

According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction.

Cost-Benefit 105

Cost-Benefit Digital Transformation Data-driven Unstructured Data 105

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Field services. IBM brings together vast transformation experience, industry expertise and proprietary and partner technologies.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

bridgei2i

OCTOBER 7, 2020

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. To catch up, underwriting which typically involved manual involvement in garnering data from documents has to change radically. Application validation – Automated process to check the required documents availability. (if

Insurance 52

Insurance Sales Strategy Digital Transformation 52

CIO Business Intelligence

SEPTEMBER 30, 2024

Sanjeev Kumar, vice president and chief data and analytics officer at Gainwell Technologies, a provider of healthcare technology services for state governments, also has seen the power of AI in his company. There are applications of AI that are incremental but there are others where it is transformational,” he says.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141