Remove Compliance Remove Data Engineering Remove Off-The-Shelf Remove Weak Development Team
article thumbnail

Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

an also be described as a part of business process management (BPM) that applies data science (with its data mining and machine learning techniques) to dig into the records of the company’s software, get the understanding of its processes performance, and support optimization activities. What is process mining? Process mining ?an

article thumbnail

What you need to know about product management for AI

O'Reilly Media - Ideas

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Altexsoft

Forrester Consulting discovered that poor checkout experience and long lines are the third highest reason grocers would skip the line and shop in a different place. 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.

article thumbnail

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.

article thumbnail

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. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.