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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. That’s not to say it’ll be easy.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

One of the important steps away from spreadsheets and towards developing your BI capabilities is choosing and implementing specialized technology to support your analytics endeavors. So, in this article, we’ll talk about the current BI market leader – Microsoft Power BI – and discuss its functionality, pros and cons, and alternatives.

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Bringing an AI Product to Market

O'Reilly Media - Ideas

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? The Core Responsibilities of the AI Product Manager.

Marketing 145
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Of Muffins and Machine Learning Models

Cloudera

In this article, we explore model governance, a function of ML Operations (MLOps). We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

This article. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps.

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Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. Process maps can be used as a guide or template to train bots, outlining the sequence of necessary steps. The vendor’s invoice is received.