CIO Business Intelligence

DECEMBER 10, 2024

CIOs have been able to ride the AI hype cycle to bolster investment in their gen AI strategies, but the AI honeymoon may soon be over, as Gartner recently placed gen AI at the peak of inflated expectations , with the trough of disillusionment not far behind. That doesnt mean investments will dry up overnight.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

TDAN

JULY 6, 2021

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place. Establishing good data governance is not just about avoiding regulatory fines.

Unstructured Data 96

Unstructured Data Data Governance Data-driven Strategy 96

CIO Business Intelligence

OCTOBER 9, 2024

These data will be cleansed, labelled, and anonymized, with data pipelines built to integrate them within an AI model. The data preparation process should take place alongside a long-term strategy built around GenAI use cases, such as content creation, digital assistants, and code generation.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

DECEMBER 5, 2024

Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

DECEMBER 10, 2024

At its core, that process involves extracting key information about the individual customer, unstructured data from medical records and financial data and then analyzing that data to make an underwriting decision. To learn more, visit us here.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

CIO Business Intelligence

FEBRUARY 20, 2025

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. The aim is to create integration pipelines that seamlessly connect different systems and data sources.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

CIO Business Intelligence

NOVEMBER 19, 2024

Managing the lifecycle of AI data, from ingestion to processing to storage, requires sophisticated data management solutions that can manage the complexity and volume of unstructured data. As the leader in unstructured data storage, customers trust NetApp with their most valuable data assets.

Management 116

Management Unstructured Data Deep Learning Metadata 116

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

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

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

MARCH 27, 2023

When he’s not immersed in cybersecurity, hybrid cloud strategy, or app modernization, David Reis, CIO at the University of Miami Health System and the Miller School of Medicine, spends his time working with the board of directors and top leadership to reimagine healthcare and take the lead driving digital transformation.

Strategy 109

Strategy Digital Transformation Insurance Technology 109

Cloudera

AUGUST 20, 2021

How CDP Enables and Accelerates Data Product Ecosystems. A multi-purpose platform focused on diverse value propositions for data products. Data Types and Sources: The multitude of data experiences enable efficient processing of different data types, such as structured and unstructured data collected from any potential source.

Strategy 98

Strategy Cost-Benefit Visualization Data Warehouse 98

Cloudera

JANUARY 7, 2025

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience.

Cost-Benefit 82

Cost-Benefit Optimization Data-driven Strategy 82

O'Reilly on Data

MARCH 25, 2025

Two big things: They bring the messiness of the real world into your system through unstructured data. They also realized that, although LlamaIndex was cool to get this POC out the door, they couldnt easily figure out what prompt it was throwing to the LLM, what embedding model was being used, the chunking strategy, and so on.

Testing 174

Testing Data-driven Software Measurement 174

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. Robert Glaser is Head of Data & AI at INNOQ.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Analytics Vidhya

MAY 29, 2023

The two pillars of data analytics include data mining and warehousing. They are essential for data collection, management, storage, and analysis. Providing insights into the trends, prediction, and appropriate strategy for the company and serving numerous other uses are distinct.

Data mining 307

Data mining Data Collection Strategy Data Analytics 307

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. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

O'Reilly on Data

FEBRUARY 11, 2020

They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. Nearly one-quarter of respondents work as data scientists or analysts (see Figure 1). An additional 7% are data engineers. Some other common data quality issues (Figure 4)—e.g.,

Data Quality 362

Data Quality Metadata Data Governance Publishing 362

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

Smart Data Collective

FEBRUARY 3, 2021

A good example of this, an investment strategy like Fibonacci trading uses the Fibonacci sequence. The strategy is a reflection of nature since it orders the structures in line with the Fibonacci sequence. Traders have been using this strategy for quite some time. What Impact Is Big Data Having Towards Investing?

Big Data 140

Big Data Marketing Data Analytics Analytics 140

Smart Data Collective

MAY 13, 2022

This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans. As unstructured data comes from different sources and is stored in various locations. It makes data preparation faster.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

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

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

JUNE 6, 2024

It unifies data from all customer meetings to identify cross-company and help enterprises adapt their go-to-market strategy accordingly. The company also added another capability that it calls Sales Signals to the Sales Cloud to help build a sales pipeline.

Sales 126

Sales Unstructured Data Enterprise Dashboards 126

Analytics Vidhya

FEBRUARY 3, 2020

Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are. The post Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis appeared first on Analytics Vidhya.

Strategy 262

Strategy Data Analytics Analytics Unstructured Data 262

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

Smart Data Collective

NOVEMBER 20, 2022

The strategy can either be offline or digital. To develop effective and optimized strategies in this ever-changing marketplace, a smart marketer needs to know how to leverage technology. Enter Big Data. Although big data isn’t a new concept, it has become a sought-after technology in the last few years. .

Big Data 144

Big Data Sales Marketing B2B 144

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. Companies need to use big data technology to effectively identify their target audience and reliably reach them. Every business needs a go-to-market strategy or the GTM strategy to reach the target customers and stay ahead of their competitors.

Marketing 136

Marketing Data Analytics Analytics Big Data 136

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

SEPTEMBER 16, 2022

Artificial intelligence is widely used in the field of providing solutions for investors and traders – almost all modern tools (algorithms, robots for formulating strategies, trading systems, digital brokers) used on the stock exchange are based on artificial intelligence. Fintech in particular is being heavily affected by big data.

Unstructured Data 130

Unstructured Data Finance Cost-Benefit Big Data 130

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. But being an inquisitive Sherlock Holmes of data is no easy task. Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool?

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 110

Data Governance Unstructured Data Metadata Data Lake 110

CDW Research Hub

AUGUST 17, 2020

If you need scalable storage units for unstructured data, this is where object storage wins. Object storage manages data as objects rather than the hierarchical system that we know as file storage. Examples of object storage are large sets of historical data, and unstructured data such as music, images and video.

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

It was not until the addition of open table formats— specifically Apache Hudi, Apache Iceberg and Delta Lake—that data lakes truly became capable of supporting multiple business intelligence (BI) projects as well as data science and even operational applications and, in doing so, began to evolve into data lakehouses.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130