Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 97

Business Intelligence Business Intelligence Predictive Analytics Natural Language Processing 97

Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. It’s particularly valuable for forecasting demand, identifying potential risks, and optimizing processes.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

SEPTEMBER 3, 2024

Explainable AI (XAI) aims to provide insights into how neural networks make decisions, helping stakeholders understand the reasoning behind predictions and classifications. Edge Computing With the rise of the Internet of Things (IoT), edge computing is becoming more prevalent.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Deep Learning 52

Pickl AI

JUNE 29, 2023

Internet of Things (IoT) Monitoring With the proliferation of IoT devices, Splunk can collect and analyse data from various IoT sources. Business Intelligence and Reporting Splunk’s data visualisation capabilities allow users to create interactive dashboards and reports. Wrapping it up !!!

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Pickl AI

JANUARY 16, 2024

Machine Learning Understanding the fundamentals to leverage predictive analytics. Critical Thinking Ability to approach problems analytically and derive meaningful solutions. Real-time Analytics Demand Proficiency in real-time Data Analysis is coveted.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

Pickl AI

JULY 29, 2024

Some key applications of Hadoop clusters in big data include: Data Warehousing Hadoop clusters can be used as cost-effective data warehousing solutions , storing and processing large volumes of data for business intelligence and reporting purposes.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

Database 105

Database SQL Data Warehouse Machine Learning 105