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

The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

We describe information search on the Internet with just one word — ‘google’. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Practically, nothing.

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.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Process Mining Explained: Techniques, Applications, and Challenges

Altexsoft

Process mining is a set of techniques for the analysis of operational processes based on event logs extracted from company’s databases, information systems, or business management software such as enterprise resource planning (ERP), customer relationship management (CRM), electronic health records (EHR), etc. What is process mining?

article thumbnail

Fleet Maintenance Software: Technology Behind Preventive and Predictive Vehicle Servicing

Altexsoft

Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Predictive maintenance (PdM) involves constant monitoring of your equipment condition and conducting repairs only when bad trends are detected – but before breakdowns occur.

article thumbnail

Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Besides, it means having information about your suppliers, customers, carriers, and other partners, as well as about your internal processes all along the line.

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.

article thumbnail

Modeling conversion rates using Weibull and gamma distributions

Erik Bernhardsson

This is a blog post originally featured on the Better engineering blog. If you want to link to this article or share it, please go to the original post URL ! Separately, I’m sorry it’s been so long with no posts on this blog. Between kids, moving, and being a startup CTO, I’ve been busy. Lots of companies need to analyze conversion rates.