Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent forecast by Grand View Research, the global serverless computing market is expected to reach a staggering $21.4 billion by 2025.

Data Integration 77

Data Integration IoT Cost-Benefit Data Quality 77

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Enhance counterparty risk assessment.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

Smart Data Collective

OCTOBER 16, 2023

IoT Sensors generate IoT data. Big data can also be utilized to improve security measures. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Companies can use big data analytics to turn obtained insights into new goods and services.

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. However, businesses today want to go further and predictive analytics is another trend to be closely monitored.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. What’s the biggest challenge manufacturers face right now?

Manufacturing 74

Manufacturing Technology Internet of Things Cost-Benefit 74

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. Prioritizing tracking metrics accurately measures the success of your implementation.

Enterprise 99

Enterprise Interactive Data-driven Key Performance Indicator 99