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GADELHA, Isaque Araujo. Artificial Intelligence Security through Input Data Quality Steps. Revista Científica Multidisciplinar Núcleo do Conhecimento. Year 08, Ed. 12, Vol. 02, pp. 24-38. December 2023. ISSN: 2448-0959, Acess link: https://www.nucleodoconhecimento.com.br/computer-science/input-data, DOI: 10.32749/nucleodoconhecimento.com.br/computer-science/input-data

SCIENTIFIC STUDY ON AI DATA QUALITY

CASE OF ANALYZING LARGE VOLUMES OF DATA

This article aims to talk about some of the benefits of using a tool to deal with data process and to improve a data intelligence area in a insurance company that needs a integration through a lot of areas in the company, like: commercial area, emission area, sinister area, among others.

Written by Isaque A. Gadelha

FORBES MAGANIZE FEATURE

Data analytics improves cybersecurity by identifying patterns that signify potential threats, enabling proactive measures. For instance, machine learning algorithms can analyze network traffic to detect anomalies that may indicate a cyber attack, allowing for real-time threat mitigation.

According to a report by Cybersecurity Ventures, cybercrime is expected to cost the world $6 trillion annually by 2021. Implementing advanced data analytics tools can reduce the average cost of a breach by up to 30%.

SECURITY INTERVIEW WITH OUR CEO

Interview given to the local newspaper in a Northeastern Brazilian city discussing the risks that technology, especially the use of artificial intelligence, can pose to the population.

Our CEO, Isaque Gadelha, still provides some tips and suggestions for personal and business security.

Data Analytics - Enhancing Cybersecurity

The Year Generative AI Transformed Enterprise Data Management.

As we transition from one year to the next, it's a season of reflection and looking forward. As an analyst, the end of the year is a time to learn from past work, analyze its outcomes and consider its potential impact on the future.

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