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How process mining improves IT service management to save your business time and money

IBM Big Data Hub

Auto-discovery tools like process mining — a tool gaining popularity with organizations — does just that. 36% of respondents polled primarily use automated discovery tools like process mining, which improve their ability to analyze processes objectively and at scale.

Mining 76
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3 new steps in the data mining process to ensure trustworthy AI

IBM Big Data Hub

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Data risk assessment.

Mining 62
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Process Excellence: A transformational lever to extreme automation

IBM Big Data Hub

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. Along with defining and operationalizing the right level of governance across organizational layers for efficient value orchestration and continuous improvement.

Mining 71
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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? It’s also necessary to understand data cleaning and processing techniques.

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Using Data De-Identification to Protect Companies

Data Matters

Many companies hope to benefit from amassing large amounts of data by mining it for market insights, creating internal business models, and supporting strategic, data-driven decisions. Done properly, data de-identification can minimize risks to privacy interests—e.g., litigation discovery obligations. VIEW ARTICLE.

Mining 74
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The Difference Between Data Architecture and Enterprise Architecture

erwin

The Value of Data Architecture. We’re working in a fast-paced digital economy in which data is extremely valuable. Those that can mine it and extract value from it will be successful, from local organizations to international governments. Good data leads to better understanding and ultimately better decision-making.

Sales 131
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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. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103