O'Reilly Media - Ideas

JANUARY 25, 2024

Remember that these “units” are “viewed” by our users, who are largely professional software developers and programmers. Software Development Most of the topics that fall under software development declined in 2023. Software developers are responsible for designing and building bigger and more complex projects than ever.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Altexsoft

APRIL 26, 2022

For everyone who is considering Snowflake as a part of their technology stack, this article is a great place to start the journey. We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

O'Reilly Media - Ideas

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? The Core Responsibilities of the AI Product Manager.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle.

Machine Learning 85

Machine Learning Artificial Inteligence Weak Development Team Construction 85

Altexsoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JULY 23, 2020

This article. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

JUNE 11, 2021

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. Process maps can be used as a guide or template to train bots, outlining the sequence of necessary steps. The vendor’s invoice is received.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

AUGUST 25, 2021

Besides simply looking for email addresses associated with spam, these systems notice slight indications of spam emails, like bad grammar and spelling, urgency, financial language, and so on. Often used for directing customer requests to an appropriate team, language detection highlights the languages used in emails and chats.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Abhishek Tiwari

JULY 20, 2019

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model. It is one of the ways you can organise your engineering teams in a retail environment.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61

O'Reilly Media - Data

MARCH 22, 2018

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., In this article, we will focus on model interpretation in regard to supervised learning problems.

Off-The-Shelf 117

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 117

Altexsoft

FEBRUARY 22, 2022

As we discussed in one of our previous articles, there are three main types of maintenance policies : reactive, preventive, and predictive (the two latter categories are referred to as proactive maintenance). Check our article on fleet management software for details. Types of maintenance: reactive vs preventive vs predictive.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

FEBRUARY 8, 2021

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. Supply chain management process. defect rate), customer service (i.e.,

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

APRIL 13, 2023

To store all this diverse information, you’ll have to utilize a centralized data repository such as a data warehouse or data lake. To get a better picture, check out a short explainer of what data engineering is about Data analytics Now that we have all this data, we can finally work on the actual witchcraft.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

OCTOBER 8, 2021

The good news is, businesses can choose the path of data integration to make the most out of the available information. The bad news is, integrating data can become a tedious task, especially when done manually. Cloud-based data integration tools. Data loading. Cloud-based tools make up another category.

Tools 52

Tools Data Software Review Open Source 52

Altexsoft

DECEMBER 7, 2021

It’s amazing how some people are so bad at time management while being so good at making up reasons for chronic lateness. In this article, we’ll explore what stands behind those ETA, ETD, and ETC acronyms and what can help you take the guesswork out of your time estimations. “I’ve told you I’d be there in 5 minutes.

Artificial Inteligence 52

Artificial Inteligence How To Software Review Systems Review 52

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. A trained ML model can find and highlight inconsistencies and ambiguities or flag missing elements such as currency fluctuation clauses. Contract audit.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

John Snow Labs

MAY 24, 2023

Developing a machine learning model requires a big amount of training data. Therefore, the data needs to be properly labeled/categorized for a particular use case. Therefore, the data needs to be properly labeled/categorized for a particular use case.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

Altexsoft

NOVEMBER 22, 2019

In this article, we’ll talk about proven data management approaches and technologies utilized in the hospitality industry to boost revenue and enhance customer experience. What is data management? only then pipe data to the targeted warehouse. Data processing in a nutshell and ETL steps outline. Invest in training.

Hotels 18

Hotels Data Technical Review Systems Review 18

O'Reilly Media - Ideas

JANUARY 25, 2021

The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks. frameworks.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145