Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. Top 10 Android app development trends.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

CableLabs

MAY 30, 2019

For the 15th consecutive year, thousands of network operators, service providers and vendors from around the globe will gather in Cologne, Germany, for ANGA COM Exhibition and Conference , June 4–6, 2019. 10G Reliability : As the number of connected devices per household increases exponentially, network reliability is key.

Network 49

Network Telecommunications Internet Mobile 49

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. Network Management Protocol.

Engineering 270

Engineering Wireless 3D Programming 270

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 Source: IoT Analytics. IoT architecture layers. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

Xicom

NOVEMBER 19, 2020

Besides, our reliance on smart devices, phones, tablets – consisting of an ever-growing number of IoT devices – shed lights on the need for the multi-lane superhighways that were already known to telecommunication and software development company in Dubai and worldwide. . Image Source. Image Source.

Mobile 98

Mobile Weak Development Team Development Blockchain 98

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Cloudera

AUGUST 27, 2021

In addition, following the introduction of a recommendation engine built on top of the Cloudera platform, the telecommunications company is scaling up to serve more customers; from twenty million subscribers to its entire subscriber base of more than 164 million. . Some use cases are already in production and generating revenue.

Industry 84

Industry Data Telecommunications Big Data 84

ProCal Tech

OCTOBER 2, 2022

With the new solutions surrounding the multi-cloud strategy that comes with it every day, companies need to make sure they get the best skills across the entire storage, network, security, application delivery, and management platforms.

Cloud 52

Cloud Disaster Recovery Storage Telecommunications 52

Altexsoft

JULY 9, 2021

The elegant solution to this challenge is shifting some tasks from powerful, but remote data centers to smaller processors at the edge, or in direct proximity to IoT devices. While the very idea is not new, its realization becomes more feasible with the arrival of high-speed 5G networks. What is edge computing.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

FEBRUARY 26, 2021

We’ll explain how these systems work, what data they generate, and give tips on how to choose and implement a suitable telematics solution to become a data-driven company. telecommunications (a branch of technology dealing with the long-distance transmission of information by cables, phone lines, etc.) What is Telematics?

Transportation 69

Transportation Systems Review System Data 69

Altexsoft

JUNE 20, 2019

All in one, it significantly accelerates the processing of vast amounts of data. Also, this DBMS is popular among financial institutions and telecommunication systems. It copes well with effective storing, changing, and managing relational data. It becomes even more important for enterprises operating big data applications.

Systems Review 85

Systems Review System Software Review Open Source 85