Altexsoft

SEPTEMBER 19, 2023

We will examine key data sources, real-world use cases, and how to approach analytics in travel. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Here, we will look at 4 key use cases of travel analytics. 4 travel analytics use cases.

Travel 52

Travel Analytics Examples Airlines 52

Apiumhub

FEBRUARY 25, 2021

This is achieved with data science and today we are going to discuss what Data Science is and what are the most common Data Science use cases. Data science lets you: Find the leading cause of a problem by asking the right questions. Forecasts (e.g., Programming is required to execute a successful data science project.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Altexsoft

JULY 21, 2021

production planning, workforce planning (rostering and distributing staff), transportation planning and routing, project workflow planning, etc. production planning, workforce planning (rostering and distributing staff), transportation planning and routing, project workflow planning, etc. What is schedule optimization?

Technology 59

Technology Off-The-Shelf Machine Learning Artificial Inteligence 59

Cloudera

OCTOBER 18, 2022

With global spend on the public cloud reaching $385 billion in 2021 , Cloudera was by no means alone in identifying that we, too, needed to be conscious of the ever-increasing costs of our public cloud infrastructure. We were required to report back on a weekly basis with our progress and overall trajectory. Project CloudCost — design.

Cloud 84

Cloud Analytics AWS Engineering 84

Abhishek Tiwari

JULY 20, 2019

And there lies the problem. Supplier engineering squad - focus on supplier marketplace, demand and replenishment forecasting, risk and compliance, etc. One thing stand-out to me is being intentional and practical about your engineering organisation design. Certainly not. You want to move fast.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

The Agile Manager

JUNE 23, 2007

And poor leadership it is: sustainable business success is achieved when we weigh the odds, not ignore them entirely. A recent report by the IBM Institute for Business Value 1 forecasts that Capital Markets firms engaged in risk mitigation have better growth and profit potential than firms engaged in risk assumption.

Technical Review 40

Technical Review Technology Software Review Weak Development Team 40

Altexsoft

JULY 8, 2021

Propensity modeling is a set of approaches to building predictive models aimed at forecasting behavior of a target audience by analyzing their past behaviors. Experts distinguish several types of propensity models based on the customers they target and the problem that needs to be solved. What is a propensity model?

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78