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

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. Cloud technology has been around since the mid-2000s. Cloud technology is a fascinating subject.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

bridgei2i

FEBRUARY 24, 2021

In our latest episode of the AI to Impact podcast, host Monica Gupta – Manager of AI Actions, meets with Sunil Mudgal – Advisor, Talent Analytics, BRIDGEi2i, to discuss the benefits of adopting AI-powered surveillance systems in HR organizations. How, do you assess the impact of these costs on business outcomes?

Cost-Benefit 92

Cost-Benefit Recreation/Entertainment Digital Transformation Scorecard 92

Smart Data Collective

SEPTEMBER 26, 2019

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. What technologies will change or be available 3 years from now? .

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

Ontotext

NOVEMBER 22, 2020

Knowledge graphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. The ability to define the concepts and their relationships that are important to an organization in a way that is understandable to a computer has immense benefits.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

FineReport

APRIL 26, 2023

Veracity pertains to the reliability and quality of data, including potential biases, abnormalities, or inconsistencies. By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Why do Enterprises Need Big Data Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. At Laminar, we refer to those “unknown data repositories” as shadow data. . #2:

Management 52

Management Risk Risk Management Data Processing 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

CIO Business Intelligence

JULY 14, 2023

CIOs want to take advantage of this but on their terms—and their own data. As so often happens with new technologies, the question is whether to build or buy. A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data.

Modeling 93

Modeling Machine Learning Cost-Benefit B2B 93

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. Cloud data warehouses. with a cloud data warehouse is simple.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52