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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. We have simplified this journey into five discrete steps with a common sixth step speaking to data security and governance. Data Collection Challenge. STEP 1: Collecting the raw data.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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Shocking Amount of Data

Rocket-Powered Data Science

. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

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Finding the Right Technologies for the Right Scenarios

CIO Business Intelligence

This has created a clear opportunity for businesses, allowing them to ride on this wave of digitalization for seizing greater growth opportunities—as long as they play their cards right. Deeper digital transformation can help companies better deal with uncertainties.”. per year over 2022 to 2024.

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CIOs still grapple with what gen AI can do for the enterprise

CIO Business Intelligence

Yves Caseau, global CIO, Michelin Michelin Some technology leaders, including Patrick Thompson, former chief information and digital transformation officer of Albemarle, go so far to say that generative AI will become the most disruptive technology in our lifetimes. “It

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Using EventBridge integration, filtered positional updates are published to an EventBridge event bus.