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Next Best Action Marketing: How to Implement Hyper-Personalization with Machine Learning

Altexsoft

In this article, we’ll discuss what the next best action strategy is and how businesses define the next best action using machine learning-based recommender systems. The funnel for each customer is unique as each customer learns about a company or its services at their own pace and style.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. But it does need more advanced approaches that mimic human perception and judgment like AI, Machine Learning, and ML-based Robotic Process Automation.

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Propensity Model: How to Predict Customer Behavior Using Machine Learning

Altexsoft

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

In this article, we will look at the capabilities of advanced forecasting methods as well as outline their current limitations. Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool.

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The Process Automation Map

Bernd Rucker

This article was originally posted on techspective. In this case, the decision is not too hard: as thousands of companies have the exact same requirements you have, you can simply buy a standard HR software or leverage an off-the-shelf cloud service around payroll. How could you go about this? And guess what: it depends.

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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.