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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. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey.

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Edge Computing is Thriving in the Cloud Era

CIO Business Intelligence

Experts agree that edge computing will play a key role in the digital transformation of almost every business. The first wave of edge computing: Internet of Things (IoT). For most industries, the idea of the edge has been tightly associated with the first wave of the Internet of Things (IoT).

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. The post Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts appeared first on Cloudera Blog. Data Lifecycle Management: The Key to AI-Driven Innovation.

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Industry X.0 – Made Real, Practical Insights Today enabling Profits Tomorrow

Cloudera

Manufacturing’s digital transformation growth is truly impressive considering it’s delivering value with explosive growth rates. These insights will deliver dashboards, reports and predictive analytics that drive high-value manufacturing use cases. Lack of Clear ROI . Dr. Irene J. The post Industry X.0

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. In this context, a maintenance team would create a digital twin of a piece of equipment or machinery.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. Using advanced data analytics techniques, predictive analytics can help identify inefficiencies, bottlenecks and quality issues proactively.