Smart Data Collective

NOVEMBER 24, 2020

billion by 2025. Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. QlickSense.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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. Yet, the biggest challenge for risk analysis continues to suffer from lack of a scalable way of understanding how data is interrelated. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense.

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

IBM Big Data Hub

OCTOBER 20, 2023

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72