Artificial Intelligence, Customer Experience and Unstructured data

Real-time artificial intelligence and event processing

IBM Big Data Hub

NOVEMBER 29, 2023

Complex event processing (CEP) enables teams to transform their raw business events into relevant and actionable insights, to gain a persistent, up-to-date view of their critical data and to quickly move data to where it is needed, in the structure it’s needed in.

Artificial Intelligence

Artificial Intelligence Unstructured data Analytics Customer Experience

Driving new revenue streams through artificial intelligence and advanced analytics

CGI

OCTOBER 14, 2019

Driving new revenue streams through artificial intelligence and advanced analytics. 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. ravi.kumarv@cgi.com. Tue, 10/15/2019 - 01:47. What’s driving this momentous change?

Artificial Intelligence

Artificial Intelligence Analytics Customer Experience Big data

Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Retail

Retail Unstructured data Artificial Intelligence Sales

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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The most valuable AI use cases for business

IBM Big Data Hub

FEBRUARY 14, 2024

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.

Artificial Intelligence

Artificial Intelligence Retail Unstructured data Insurance

Breaking down the advantages and disadvantages of artificial intelligence

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. What is artificial intelligence and how does it work?

Artificial Intelligence

Artificial Intelligence Unstructured data Data science Customer Experience

NICE Robotic Automation Expands Partnership with ABBYY, Offering the Most Comprehensive End to End Digitization of Business Processes

Info Source

MARCH 5, 2019

March 4 , 2019 – NICE (Nasdaq: NICE) today announced that its Robotic Process Automation (RPA) platform now incorporates additional Artificial Intelligence (AI) capabilities to rapidly streamline the processing of unstructured data contained in scanned documentation. Hoboken, N.J.,

Unstructured data

Unstructured data Artificial Intelligence Digital transformation Customer Experience

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

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS, on the other hand, provides robust, scalable cloud infrastructure.

Analytics

Analytics Retail Cloud Insurance

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Mining

Mining Marketing Artificial Intelligence Customer Experience

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Artificial Intelligence

Artificial Intelligence Unstructured data Data structuring Customer Experience

Elevate human potential with Cloud Editions (CE) 24.2

OpenText Information Management

APRIL 15, 2024

The next generation of innovation will be driven by artificial intelligence (AI) and firmly rooted in effective information management. In this release, we've introduced OpenText™ Core Experience Insights , a cloud-based SaaS application aimed at enhancing customer experiences.

Cloud

Cloud Analytics Digital transformation Customer Experience

Elevate human potential with Cloud Editions (CE) 24.2

OpenText Information Management

APRIL 15, 2024

The next generation of innovation will be driven by artificial intelligence (AI) and firmly rooted in effective information management. In this release, we've introduced OpenText™ Core Experience Insights , a cloud-based SaaS application aimed at enhancing customer experiences.

Cloud

Cloud Analytics Digital transformation Customer Experience

How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

DECEMBER 1, 2023

This approach can accelerate speed to market by providing enhanced capabilities for the development of innovative products and services to help grow the business, and it can also improve the overall customer experience. Several prominent companies in every geography are working with IBM on their core modernization journey.

Insurance

Insurance Digital transformation Customer Experience Cloud

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

SEPTEMBER 22, 2021

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions. Customer Experience (CX).

Digital transformation

Digital transformation Content services IT e-Discovery

Give the people what they want: Better financial product recommendations

OpenText Information Management

JUNE 27, 2018

One of the big advantages of doing business in a digital world is being able to make use of the data exhaust left by practically every action and interaction—from what a person buys on Amazon to what newspapers or magazines they read, who they’re Facebook-chatting with and what time they drove across the Golden Gate … The post Give the people (..)

Unstructured data

Unstructured data Customer Experience Financial Services Artificial Intelligence

How to Improve Your Big Data Management

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Challenges in Managing Big Data.

Big data

Big data MDM Unstructured data Analytics

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

OCTOBER 31, 2018

Emerging trends are creating numerous opportunities to unlock new customer experiences and business models for the digital economy, with advanced analytics serving as the differentiator in achieving operational, commercial and customer engagement excellence. Advanced analytics and automation: The business focus.

Energy and Utilities

Energy and Utilities Analytics Digital transformation Customer Experience

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

AUGUST 4, 2023

It’s distributed both in the cloud and on-premises, allowing extensive use and movement across clouds, apps and networks, as well as stores of data at rest. An architecture designed for data democratization aims to be flexible, integrated, agile and secure to enable the use of data and artificial intelligence (AI) at scale.

Analytics

Analytics Artificial Intelligence Digital transformation Access

Information Management Today

Real-time artificial intelligence and event processing

Driving new revenue streams through artificial intelligence and advanced analytics

Webinars

Trending Sources

Retailers can tap into generative AI to enhance support for customers and employees

Webinars

The most valuable AI use cases for business

Breaking down the advantages and disadvantages of artificial intelligence

NICE Robotic Automation Expands Partnership with ABBYY, Offering the Most Comprehensive End to End Digitization of Business Processes

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

Leveraging user-generated social media content with text-mining examples

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

Elevate human potential with Cloud Editions (CE) 24.2

Elevate human potential with Cloud Editions (CE) 24.2

How generative AI delivers value to insurance companies and their customers

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

Give the people what they want: Better financial product recommendations

How to Improve Your Big Data Management

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

Data democratization: How data architecture can drive business decisions and AI initiatives

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