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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

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Transforming Industries with Data Intelligence.

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

ARMA International

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. More likely, the organization will resist DT – its new tools and processes to support new business models. This is a best-case scenario. Cloud-First.

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

John Battelle's Searchblog

First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. The scientific method is our best tool, so far, for advancing human progress and problem solving. Let The Data Flow. And second… Governance.

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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. In addition, robust tooling and integration with popular development frameworks enable rapid application development and deployment.