Remove Artificial Intelligence Remove Financial Services Remove Retail Remove Trends
article thumbnail

The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

article thumbnail

Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. 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.

Analytics 104
Insiders

Sign Up for our Newsletter

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

article thumbnail

Automated governance and trustworthy AI

IBM Big Data Hub

Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. As an example, a large financial services firm could easily deploy hundreds or thousands of AI models to assist decision makers in various tasks. In the U.S.,

article thumbnail

Summary – “Industry in One: Financial Services”

ARMA International

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny.

article thumbnail

From Data Chaos to Data Clarity: Four Trends Reshaping Data Management in the Digital Age

Reltio

As the world embraces data and the technology that brings it to life, we see four key themes emerging in data management: Artificial intelligence (AI), data virtualization, real-time integration, and multi-cloud strategies. Below, we discuss these trends and how MDM solutions are critical to unlocking the full potential of each.

MDM 97
article thumbnail

#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

It’s the classic garbage in garbage out, but it is even more important now as we move into the real drive towards machine learning and artificial intelligence. What trends or changes do you predict to the data management and analytics arena in the next few years?

article thumbnail

#ModernDataMasters: Michele Chambers, AWS

Reltio

Advanced analytics, or artificial intelligence (AI), still has a ways to go. What trends or changes do you predict to the data management arena in the next few years? For me, modern data management is about technology giving you the power to change the way your business is moving and with the same fluidity.