Altexsoft

AUGUST 29, 2023

It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? If the intricacies of big data are becoming too much for your existing systems to handle, a data lake might be the solution you’re seeking.

Architecture 52

Architecture Data Storage Machine Learning 52

Apiumhub

JULY 5, 2018

Today, companies like Alibaba, Rakuten, eBay, and Amazon are using Al for fake reviews detection, chatbots, product recommendations, managing big data, etc. Now, let’s go over some interesting data from a recent Ubisend report : • 1 out of 5 consumers is willing to purchase goods from a chatbot. • Filter fake reviews.

Artificial Inteligence 66

Artificial Inteligence Artificial Intelligence Case Study eCommerce 66

Existek

JANUARY 11, 2022

Travel and hospitality – Airbnb, Macdonalds. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Azure: The provider is often chosen due to quick instance configuration and provision.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 26, 2021

Industries operating vehicle fleets with installed telematics systems generate huge streams of data. John’s truck has Internet access to transmit and receive data in real-time and a telematics device plugged in. John alone sends approximately 25 gigabytes of data to the cloud every hour. What is Telematics?

Transportation 69

Transportation Systems Review System Data 69

Coforge

AUGUST 20, 2019

The travel industry and specifically, the airline industry is no stranger to such attacks as well. Aviation systems are subject to an average of about 1,000 attacks each month. Challenges Tied to Big Data. Compromising this data during a cyber-attack poses several challenges to airlines. IATA estimates that 3.7

Airlines 8

Airlines Industry Blockchain Travel 8

CTOvision

JULY 19, 2016

Empowering Growth Hackers with Big Data. Empowering Growth Hackers with Big DataCIOGrowth hacking brings together the ideas of hacking big data and driving business growth. Microsoft and Boeing team up to streamline aviation through big data and AI .

Technical Review 61

Technical Review Systems Review Software Review Artificial Inteligence 61

Altexsoft

OCTOBER 21, 2022

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. What does the high-performance data project have to do with the real Franz Kafka’s heritage?

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Data integration , on the other hand, happens later in the data management flow.

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

JANUARY 11, 2019

A data science pipeline is a set of processes for automating data collection, preparation, visualization, modeling, and interpretation (review) to answer business questions or get informed conclusions. Travelers appreciate offers with a personal touch. US travelers on personalization.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! IoT, geospatial, ML, streaming, etc.), I mean, where are all the moon or space travel to the stars themed Casinos?! Source: Shutterstock).

Technical Review 36

Technical Review Technology Report Open Source 36

Instaclustr

OCTOBER 14, 2019

The conference spreads over 4 days next week with a great choice of presentations in multiple tracks including: Cassandra, IoT, Geospatial, Streaming, Machine Learning, and Observability! I mean, where are all the moon or space travel to the stars themed Casinos?! However, I actually think that ApacheCon “out Vegased” Vegas!

Technical Review 28

Technical Review Technology Report Open Source 28

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Agile Engine

DECEMBER 27, 2023

From emerging trends to hiring a data consultancy, this article has everything you need to navigate the data analytics landscape in 2024. What is a data analytics consultancy? Big data consulting services 5. 4 types of data analysis 6. Data analytics use cases by industry 7. Table of contents 1.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Technological perspective: Machine learning techniques and big data.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 14, 2023

The image above shows modern data stacks’ modularity with the possibility of choosing between different instruments. Let’s say a travel company wants to improve its customer experience by offering personalized travel recommendations. Data sources component in a modern data stack.

Data 59

Data Technical Review Software Review Artificial Inteligence 59

Datica

JUNE 17, 2019

There is no shortage of technology platforms available in this industry, but unfortunately there’s a huge disconnect between them with many of these systems having been built in silos. All of them are supported by most Learning Management Systems. There already are some suggested interoperability standards in healthcare, like FHIR.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40