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 79

Data science Analytics Unstructured data Artificial Intelligence 79

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Inventory optimization (in retail).

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain.

Analytics 80

Analytics Retail Cloud Insurance 80

IBM Big Data Hub

APRIL 16, 2024

Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights. Streamlined access to effective product descriptions maintained a competitive advantage in online retail.

Security 81

Security Unstructured data Retail Analytics 81

CGI

OCTOBER 14, 2019

Driving new revenue streams through artificial intelligence and advanced analytics. For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. Foundational steps in adopting AI and advanced analytics. ravi.kumarv@cgi.com.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

SEPTEMBER 13, 2023

Organizations can mitigate this scenario by leveraging advanced analytics, artificial intelligence (AI) and machine learning (ML) to build next-generation capabilities today. This is especially important in customer interactions. At the same time, the customer’s history with the company is likely stored in a structured system.

Digital transformation 91

Digital transformation Unstructured data Artificial Intelligence Cloud 91