Exadel

APRIL 27, 2023

The amount of data which banks needed to process was huge and hard to track manually. RegTech filled that gap and provided machine learning and predictive analytics tools to prevent fraudulent activity. RegTech solutions are being adopted in different sectors such as healthcare, energy, and telecommunications.

Banking 52

Banking Report Compliance Fintech 52

Cloudera

SEPTEMBER 6, 2022

In the wake of the disruption caused by the world’s turbulence over the past few years , the telecommunications industry has come out reasonably unscathed. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning.

Telecommunications 83

Telecommunications Architecture Data Government 83

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

Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. Telematics is a complex term that encompasses several aspects of the long-distance telecommunications and big data industry.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

CTOvision

OCTOBER 10, 2016

Cognitio's David Horvath, a telecommunications engineer and project manager who has enhanced defenses in large enterprises for decades, brought lessons learned from successful projects including remote access and WiFi implementations.

Artificial Inteligence 107

Artificial Inteligence Artificial Intelligence Government Telecommunications 107

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Storage 59

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. And it is partnering with Azure to combine data centers.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Data 118

Data Analytics Banking Big Data 118

Cloudera

SEPTEMBER 15, 2022

Manufacturing, where the data they generate can provide new business opportunities like predictive maintenance in addition to improving their operational efficiency. Retail, where big data is used across all stages of the retail process—from product development, pricing, demand forecasting, and for inventory optimization in the stores.

Storage 86

Storage System Artificial Inteligence Big Data 86

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. In doing so, Bank of the West has modernized and centralized its Big Data platform in just one year.

Data 74

Data Artificial Inteligence Banking Systems Review 74

Altexsoft

MAY 20, 2020

Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. Edge computing stack. eSim as a service. Source: Google Cloud.

IoT 141

IoT Azure AWS Transportation 141

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

Cloudera

NOVEMBER 29, 2021

Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . The category Data Lifecycle Connection highlights organizations that work with multiple parts of the data lifecycle to collect, enrich, report, serve, and predict. .

Data 76

Data Telecommunications Retail Machine Learning 76

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Let’s consider a large Asian Telecommunications provider who is rolling out 5G. Typical RTDW Applications.

Data 91

Data Analytics Storage Big Data 91

Altexsoft

JULY 9, 2021

A cloud computing layer accumulates valuable data from all edge devices and fog nodes and stores it in data warehouses. That’s where the business logic resides and Big Data analytics can be run owing to huge processing power. The project is supported by leading telecommunication companies Telefonica and Nokia.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

AUGUST 4, 2021

Based on the subjects, different sets of data are clustered inside a data warehouse, restructured, and get loaded into respective data marts from where they can be queried. Dependent data marts are well suited for larger companies that need better control over the systems, improved performance, and lower telecommunication costs.

Data 64

Data Analytics Construction Cloud 64

Altexsoft

JANUARY 24, 2020

Telecommunications and Internet services hold the line. Business Analytics (MS) lays right at the intersection of business, technology, and data. There are approximately 69k Atlanta residents working in custom software development. Moreover, the niche is still growing: IT and Custom Software Services have experienced a +2,1 YoY growth.

Education 99

Education Analytics Recruiting Programming 99

Altexsoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

Capgemini

FEBRUARY 7, 2024

This involves converting raw data into usable formats and extracting relevant information. Data storage and management: Managing the enormous volumes of space data requires robust storage and management systems. Cloud computing and big data technologies are often employed to store, organize, and retrieve data efficiently.

Data 52

Data Big Data Storage Innovation 52