Altexsoft

JANUARY 11, 2019

So, let’s analyze the data science and artificial intelligence accomplishments and events of the past year. Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. AutoML: automating simple machine learning tasks.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Xicom

JANUARY 13, 2021

It’s fairly a cloud service platform offering basic cloud hosting services like AI-powered bot services, virtual machines, machine learning and many others. The Top Performing Software Development Tools For “ Ecommerce Development ”.

Software Review 52

Software Review Software Development Systems Review Technical Review 52

Altexsoft

NOVEMBER 20, 2018

The bank should also assess the data potential for machine learning and other analytic approaches to improve fraud detection , credit scoring, pricing, and cross-selling. For example, eCommerce platforms can support sales with consumer credit. Prepare the product development strategy for each open API.

Banking 82

Banking Company How To Fintech 82

Existek

JANUARY 11, 2022

The roots of AWS went back to the early 2000s when the known eCommerce company Amazon faced specific scaling challenges. They focus much attention on advancing user experiences utilizing AI, robotics, machine learning, IoT, etc. . Machine learning. Software Architect $135 000. Software Developer $106 000.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. These trends are all, in different ways, making software more plentiful and capable and are expanding its reach within companies.

Company 56

Company Software Retail Banking 56

Openxcell

DECEMBER 27, 2021

From web development to mobile development, and machine learning to game development, you can get almost all the libraries you require. As Python is also the best option for machine learning, Amazon has used Python to write a machine learning system that works on the Hadoop database. vs. Python.

Technical Review 52

Technical Review Technology Software Review Open Source 52

Altexsoft

DECEMBER 30, 2020

The coronavirus pandemic has given a huge boost to eCommerce. Predictive analytics and machine learning technologies increase the accuracy of such estimations, taking into account different factors — like GPS coordinates, distance to the next stop, the average length of breaks, and historical data. And this trend won’t go away.

Transportation 52

Transportation Technical Review Technology Retail 52

Altexsoft

MARCH 14, 2023

Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices.

Data 59

Data Technical Review Software Review Open Source 59