CGI

DECEMBER 9, 2019

Data monetization: driving the new competitive edge in retail. Retailers are fully aware that their future relies largely on their ability to use data efficiently. However, in today’s dynamic and highly competitive retail sector, retailers need to accelerate their plans and commit resolutely to the path of data monetization.

Retail 96

Retail Sales Customer Experience Artificial Intelligence 96

IBM Big Data Hub

SEPTEMBER 19, 2023

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.)

Data science 76

Data science Analytics Unstructured data Artificial Intelligence 76

erwin

JUNE 11, 2020

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Apply real-time data in marketing strategies. What Is Data Intelligence? Transforming Industries with Data Intelligence.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. retail banking, wholesale banking, open banking and corporate banking).

Cloud 89

Cloud Customer Experience Mining Marketing 89

Elie

MAY 30, 2018

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. Below are three key design strategies to help with that. Limit probing The goal of this strategy is to slow down attackers by limiting how often many payload they can test against your systems.

Mining 107

Mining Cloud Paper Artificial Intelligence 107

Elie

MAY 30, 2018

This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against them. Below are three key design strategies to help with that. Limit probing The goal of this strategy is to slow down attackers by limiting how often many payload they can test against your systems.

Mining 91

Mining Cloud Paper Artificial Intelligence 91

Thales Cloud Protection & Licensing

JULY 24, 2018

The 57 percent rate statistic is the highest of all verticals we measured in this year’s report (others include the healthcare industry, the retail industry, and the financial services industry) or any region surveyed. Look at how frequently we hear about AWS S3 buckets left out in the clear with sensitive information for hackers to mine.

Encryption 48

Encryption Cloud Data breaches Government 48