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Home » Breaking Down Data Management Trends in Latin America
Data

Breaking Down Data Management Trends in Latin America

Pablo MorenoBy Pablo MorenoSeptember 8, 2022Updated:September 8, 20222 Mins Read
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In this Let’s Talk Data podcast, Acceleration Economy analyst Pablo Moreno welcomes Quest Software Data Empowerment Director LATAM Richard Rule for a discussion on data management trends specific to Latin America and the major difficulties that are preventing faster cloud adoption.

Highlights

00:01 — Pablo introduces guest Richard Rule, who details his role in information and systems management at LATAM and Quest Software.

02:04 — Rule explains the challenge of moving companies from legacy software to new cloud infrastructure. He reports cloud and multi-cloud environments already encompass 82-86% of industries globally, with Latin countries getting a late start (between 45-50%).

04:48 — Adequate cybersecurity measures are the biggest obstacle preventing faster cloud adoption.

06:30 — Pablo digs deeper into multi-cloud security and how it compares to data held on-premise. Rule emphasizes that the cloud is still hardware, requiring security within every cloud vendor’s systems. Data in the cloud is “as safe and as unsafe” as it is on a personal computer.

08:33 — Private data is vulnerable either way. People are often astounded by how long it takes a cyberattack to happen; it can take years for malicious actors to gather bits of sensitive intelligence.

10:01 — Rule stresses both external and internal protection. Robotics and advanced biometrics are the future; he suggests Latin America is “behind the curve.”

11:31 — Companies must protect and understand their own data.

12:24 — The pandemic transformed cloud industries with an “explosion of data.” The speed of adoption hasn’t kept up with necessary security measures.

14:00 — Cloud adoption in Latin America is moving at exponential rates, despite its challenges.


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Pablo Moreno
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Business Data Scientist and Project Manager (Waterfall & Agile) with experience in Business Intelligence, Robotics Process Automation, Artificial Intelligence, Advanced Analytics and Machine Learning in multiple business fields, gained within global business environment over the last 20 years. University Professor of ML and AI, International speaker and Author. Active supporter of Open-Source software development. Looking to grow with the next challenge.

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