IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data science 76

Data science Analytics Unstructured data Artificial Intelligence 76

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. What’s driving this momentous change?

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

DECEMBER 19, 2023

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

Unstructured data 64

Unstructured data Artificial Intelligence Sales Manufacturing 64

Reltio

OCTOBER 9, 2022

It's often unstructured and usually doesn't fit neatly into databases. By processing big data, retailers can get insights into their entire supply chain. Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Data Quality.

Big data 52

Big data MDM Unstructured data Analytics 52

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

DECEMBER 12, 2012

Amidst the hype about big data technologies, this is refreshing to hear. In fact retailers have always been savvy about pricing, and they’ve been keen fans of experimentation too. Simple experimental approaches to problem-solving are always preferred. “Big data” including image analysis, audio analysis, social media “scraping”, etc.

Analytics 40

Analytics Big data Unstructured data Retail 40

Info Source

OCTOBER 28, 2024

Especially since working for IBM and Watson, I am passionate about transforming unstructured data (natural language) with the help of machine learning and AI. The logistics, retail and manufacturing sectors in particular, as well as the partner business, offer ExB great opportunities.

Digital transformation 40

Digital transformation Unstructured data B2B Marketing 40

CGI

OCTOBER 31, 2018

For utilities, these are green field areas, and clients frequently ask me how CGI provides data support to more advanced industries like retail banking and telecoms. There is an equally strong focus on optimizing operations, for both retailers grappling with shrinking margins and grid operators urged to “sweat” their assets.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

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. Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information.

Metadata 52

Metadata Data Privacy Access Government 52