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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. How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society.

Analytics 103
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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently to customers. Content Marketing Platforms (CMP). Closely related to a CSP is a CMP used by an organization’s marketing team. Content Services (CS). This allows a faster, more efficient solution” (CDP 2021).

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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. Such organizations operate in industries where: The market is too fragmented for any one organization to provide a complete customer solution and experience. Follow the Customer Summary.

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Our Data Governance Is Broken. Let’s Reinvent It.

John Battelle's Searchblog

If I am expert at anything at all, it’s asking questions of technology, and of the media and marketing platforms created by technology. First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. Let The Data Flow.

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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. Such organizations operate in industries where: The market is too fragmented for any one organization to provide a complete customer solution and experience. Follow the Customer Summary.

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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).