Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g., Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

JANUARY 10, 2024

The reason is that the inherent complexity of big enterprises is such that this is the simplest model that enables them to “connect the dots” across the different operational IT systems and turn the diversity of their business into a competitive advantage. Often, it’s a by-product of business growth.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

IBM Big Data Hub

OCTOBER 2, 2023

However, the Audi team acknowledged the growing difficulty in developing a successful solution for integrated planning , given the unpredictable and multifaceted influences affecting the modern business landscape. The primary goal in adopting a planning and analytics solution was to link data and processes across departments.

Analytics 94

Analytics Manufacturing Uncertainty Machine Learning 94

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. Data errors also affect careers. Data sources must deliver error-free data on time.

Testing 214

Testing Manufacturing Data Quality Statistics 214

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. What types of features do AI platforms offer?

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Technology can help.

Machine Learning 114

Machine Learning Data-driven Modeling Deep Learning 114