IBM Big Data Hub

NOVEMBER 29, 2023

In 2023, the IBM® Institute for Business Value (IBV) surveyed 2,500 global executives and found that best-in-class companies are reaping a 13% ROI from their AI projects—more than twice the average ROI of 5.9%. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Artificial Intelligence 85

Artificial Intelligence Unstructured data Analytics Customer Experience 85

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 91

Retail Unstructured data Artificial Intelligence Sales 91

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. According to a survey by the MIT Sloan Management Review, nearly 85% of executives believe generative AI will enable their companies to obtain or sustain a competitive advantage.

Analytics 78

Analytics Retail Cloud Insurance 78

Collibra

SEPTEMBER 9, 2022

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Consider investing in a Data catalog solution, too.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

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 53

Unstructured data Artificial Intelligence Digital transformation Customer Experience 53

CGI

OCTOBER 14, 2019

However, these repositories are too “after the event” to support machine learning and other advanced AI and analytics programs, which often need access to real-time data. The other issue with big data is that it contains structured data, whereas AI and analytics can use unstructured data.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., websites, social media platforms, customer surveys, online reviews, emails and/or internal databases).

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53