Remove 2025 Remove Data Quality Remove Unstructured Data
article thumbnail

Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

article thumbnail

The Rise of Unstructured Data

Cloudera

If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading! Quantifications of data. The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes).

Insiders

Sign Up for our Newsletter

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

article thumbnail

Good data is the bedrock for genAI success: How can organizations process and prepare their data?

CIO Business Intelligence

At Gartner’s London Data and Analytics Summit earlier this year, Senior Principal Analyst Wilco Van Ginkel predicted that at least 30% of genAI projects would be abandoned after proof of concept through 2025, with poor data quality listed as one of the primary reasons.

article thumbnail

Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

Research by the Economist Intelligence Unit found that 86% of financial services firms plan to increase their AI-related investments through 2025. . by 2025, according to IDC. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. NLP will account for $35.1

article thumbnail

Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

article thumbnail

7 Requirements for Digital Transformation

Cloudera

Businesses are now faced with more data, and from more sources, than ever before. But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 Ninety-five percent of businesses cite the need to manage unstructured data as a real problem.

article thumbnail

A comparative assessment of digital transformation in Italy

CIO Business Intelligence

This is the basis for a complex digital transformation project, which the company recently accelerated with the arrival of new GM Alessandro Filippi and, shortly after, new CIO D’Accolti, ahead of the 2025 Jubilee, when 50 million visitors are expected in Rome during a series of pilgrimages.