IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

bridgei2i

OCTOBER 21, 2020

The webinar will throw light on the role of AI and data analytics, performance management and reward systems, Employee Stock Ownership Plans(ESOPs) and the talent acquisition and onboarding process in the future workplaces. Register here. Awards & Recognition News & Updates. www.BRIDGEi2i.com.

Contextual Data 52

Contextual Data Analytics Consulting Data-driven 52

bridgei2i

NOVEMBER 18, 2020

Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. For this study, the publication evaluated companies that cover areas of Data Science – Data Analytics, Big Data, Business Analytics, Machine Learning, Artificial Intelligence & Deep Learning.

Data Science 52

Data Science Contextual Data Deep Learning Big Data 52

bridgei2i

OCTOBER 8, 2021

The emergence of IoT, cloud computing, and big data analytics combined with AI tech has brought enterprises to a tipping point in their journey towards making AI real. View All Recognitions. AI For Digital Enterprises – Thought Leadership. Back to News Page. www.BRIDGEi2i.com.

Digital Transformation 52

Digital Transformation Contextual Data Consulting IoT 52

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. With a data catalog, Alex can discover data assets she may have never found otherwise. Meaningful business context.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Data Processing Machine Learning Internet of Things 40

AWS Big Data

APRIL 2, 2024

Introducing generative AI-powered data descriptions With AI-generated descriptions in Amazon DataZone, data consumers have these recommended descriptions to identify data tables and columns for analysis, which enhances data discoverability and cuts down on back-and-forth communications with data producers.

Metadata 88

Metadata Metrics Data-driven Modeling 88