CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science gives the data collected by an organization a purpose.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Smart Data Collective

MAY 1, 2022

Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text. Artificial intelligence, machine learning, and advanced data analytics techniques come together to accomplish this. Unstructured data can be difficult to skim through.

Cost-Benefit 117

Cost-Benefit Unstructured Data Machine Learning Marketing 117

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. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Machine Learning 105

Machine Learning Manufacturing Unstructured Data Modeling 105

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

IBM Big Data Hub

FEBRUARY 14, 2024

Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

MARCH 29, 2022

Lowering the entry cost by re-using data and infrastructure already in place for other projects makes trying many different approaches feasible. Fortunately, learning-based projects typically use data collected for other purposes. . An even larger issue is that people may not know how to see value in data.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

AWS Big Data

FEBRUARY 1, 2024

It includes massive amounts of unstructured data in multiple languages, starting from 2008 and reaching the petabyte level. In the training of GPT-3, the Common Crawl dataset accounts for 60% of its training data, as shown in the following diagram (source: Language Models are Few-Shot Learners ). It is continuously updated.

Modeling 94

Modeling Metadata Data Processing Unstructured Data 94

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Cloudera

AUGUST 20, 2021

A multi-purpose platform focused on diverse value propositions for data products. All these different experiences leverage the same underlying data, security and governance layer via the Control Plane and the Shared Data Experience that enable a high degree of integration and modularity between components.

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Our Business Perspectives help you make smarter decisions no matter where you are in your analytics journey. It is estimated that of all data collected, less than 1% is actually analyzed and used.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

Sisense

JULY 23, 2021

All of this data is integral to learning and knowledge management.“While While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Clean the data. Clean data in, clean analytics out. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65