Rocket-Powered Data Science

JULY 6, 2021

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

IBM Big Data Hub

JANUARY 15, 2024

Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices. But organizations still need humans to decide what actions to take based on what the ML-analyzed data shows.

Digital Transformation 69

Digital Transformation Internet of Things IoT Consulting 69

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361