Reltio

JANUARY 28, 2021

Examples: . MDM’s Role: Incorporating all transactions and interactions, unstructured data from social media, help chats, video, and audio to create a single view of customer overhauls a company’s ability to understand their customers’ needs. . #2 Examples: . Both require an MDM platform with Big Data architecture. #4

MDM 98

MDM IoT Customer Experience Unstructured data 98

IBM Big Data Hub

FEBRUARY 14, 2024

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. Smart home devices such as the iRobot Roomba can navigate a home’s interior using computer vision and use data stored in memory to understand its progress.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

IBM Big Data Hub

DECEMBER 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Unstructured data 68

Unstructured data Artificial Intelligence Sales Manufacturing 68

IBM Big Data Hub

SEPTEMBER 19, 2022

Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Inventory optimization (in retail). Considering solutions for real-time analytics on IoT data.

Analytics 52

Analytics IoT Unstructured data Manufacturing 52

CGI

OCTOBER 14, 2019

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. We are now on the cusp of a major revolution—something that will be as big for banks as the internet was for retail businesses. Sourcing data for AI and advanced analytics.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

Digital transformation 93

Digital transformation Unstructured data Artificial Intelligence Cloud 93