Remove Digital Transformation Remove IoT Remove Machine Learning
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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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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE). Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data.

IoT 110
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money. 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).

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What is digital transformation? A necessary disruption

CIO Business Intelligence

Once a vanguard business strategy, digital transformation has become a perennial objective for business survival. Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

2) MLOps became the expected norm in machine learning and data science projects. 3) Concept drift by COVID – as mentioned above, concept drift is being addressed in machine learning and data science projects by MLOps, but concept drift so much bigger than MLOps. will look like).

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3 Ways AIOps Drives Digital Transformation

CIO Business Intelligence

Large volumes of such datasets are crucial for training machine learning models as well as for improving the accuracy of these models over time. It is important to note, though, that only performance data should be gathered from the different layers of the infrastructure stack, not customer data.

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IRM Is Essential for Digital Transformation Success

John Wheeler

In fact, as we discussed in our call, Gartner’s 2018 CEO Survey discovered that 62% of global CEOs are launching a digital transformation initiative. To keep pace with the increasing risk associated with digital transformation, organizations require an integrated approach to risk management.