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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO Business Intelligence

In a recent interview with Jyoti Lalchandani, IDCs Group Vice President and Regional Managing Director for the Middle East, Turkey, and Africa (META), we explore the key trends and technologies that will shape the future of the Middle East and the challenges organizations will face in their digital transformation journey.

IoT 105
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). Now things are the Internet.”. How to make smarter data-driven decisions at scale : [link]. trillion by 2030.

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Digital Transformation: How To Protect Your Organization From Cyber Risk

Smart Data Collective

In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. Read on and learn how to keep your data safe and secure while streamlining your business processes in this digital age.

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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

This book is a very timely contribution to the world of industrial digital transformation. The digital twin is more than a data collector. It is truly a business digital transformation manual. For this, I received a complimentary copy of the book and no other compensation. Let us begin…. 6) Specific Industry 4.0

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IRM Is Essential for Digital Transformation Success

John Wheeler

The top rated emerging internal risk is “lagging digitization” and this is the first time it has appeared in our quarterly report. “Lagging digitization” is defined as the risk that slow moving digital business transformation initiatives will cause stagnant growth and an organization to fall behind in their industry.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many organizations fall short of their digital and AI transformation goals due to process complexity rather than technical complexity.

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Informatica Continues to Evolve Data Management Platform

David Menninger's Analyst Perspectives

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management.