Remove Big data Remove Retail Remove Security Remove Trends
article thumbnail

AI in retail and the rise of the purpose-driven consumer

IBM Big Data Hub

That retail has experienced extreme disruption in recent years is beyond questioning. Even before Covid turned the world on its head, headlines about the so-called “retail apocalypse” were near-ubiquitous in the media. Retail isn’t just big, it’s huge — the National Retail Federation expects sales to grow by as much as 13.5%

Retail 76
article thumbnail

The Future of Payments Security

Thales Cloud Protection & Licensing

The Future of Payments Security. The increasing trend of using mobile payments for in-store purchases (especially during the pandemic) is leading criminals to increasingly focus their efforts on defrauding people through online fraud and scams. Figure 1: Web application breaches in the Retail industry. Tue, 01/26/2021 - 09:17.

Security 143
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Take Your Business to The Next Level with Data Intelligence

erwin

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. Apply real-time data in marketing strategies. Expanding big data. Real-time enterprise is the market.

Analytics 103
article thumbnail

The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

article thumbnail

AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

Four AI in commerce use cases are already transforming the customer journey: modernization and business model expansion; dynamic product experience management (PXM); order intelligence; and payments and security. This includes trust in the data, the security, the brand and the people behind the AI.

B2C 64
article thumbnail

How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

article thumbnail

Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.