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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. eBay: One of the world’s most valuable retailer has no inventory. 80% of customers want a personalized experience from their retailer. Optimizing the Customer Experience.

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How to Take Your Business to The Next Level with Data Intelligence

erwin

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Data quality management.

Analytics 103
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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. eBay: One of the world’s most valuable retailer has no inventory. 80% of customers want a personalized experience from their retailer. Optimizing the Customer Experience.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Foundational models at the edge

IBM Big Data Hub

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Cloud 89
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Top 6 Kubernetes use cases

IBM Big Data Hub

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. Kubernetes can also serve as a flexible tool to support batch job processing involved in high performance computing workloads, which enhances data and code portability.

Cloud 115