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Should you build or buy generative AI?

CIO

In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Every company will be doing that,” he adds. “In

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Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

In simple words, it’s about finding out how the processes are actually performed to discover problems and areas for improvement. The control-flow perspective is about the order of activities, and the goal here is to find the optimal path of performing a process. What is process mining? Process mining ?an

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

In-store cameras and sensors detect each product one takes from a shelf, and items are being added to a virtual cart while a customer proceeds. Physical stores still have a lion’s share of sales, but the tendency of the growing demand for online experiences shouldn’t be ignored. Source: Forrester Consulting. Amazon Go stores.

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What you need to know about product management for AI

O'Reilly Media - Ideas

We won’t go into the mathematics or engineering of modern machine learning here. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.

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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. It includes a broad range of tightly interrelated activities that we can arrange into several major groups. And planning, in turn, relies on understanding of current performance, past trends, existing risks, and possible future scenarios.

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Traffic Prediction: How Machine Learning Helps Forecast Congestions and Plan Optimal Routes

Altexsoft

In this post, we explore what’s going on behind the scenes of traffic prediction, which data is used, which technologies and algorithms are implemented, and how to get that desired forecast to your screen. Precise forecasts of road and traffic conditions to avoid congestion are crucial for such companies’ planning and performance.