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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

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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.

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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. Amazon recently open-sourced their artificial intelligence framework (DSSTNE: Deep Scalable Sparse Tensor Neural Engine) that powers their recommendation engine.

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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. Amazon recently open-sourced their artificial intelligence framework (DSSTNE: Deep Scalable Sparse Tensor Neural Engine) that powers their recommendation engine.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

The nomenclature can extend to include Data as a Service (DaaS), Content as a Service (CaaS), and Managed Content as a Service (MCaaS) to deliver digital interaction experiences to customers. More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS).

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP).

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Big Data Hub

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Thankfully, the IBM Z platform is designed to be one the most securable platforms.