Altexsoft

JUNE 14, 2021

On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. Their technology works by scanning the market, looking for discounted and lowered prices of insurance premiums for their clients.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. 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.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. The lab uses Cloudera running on Cazena’s Fully-Managed Big Data as a Service on Amazon Web Services (AWS). Special Impact.

Artificial Inteligence 45

Artificial Inteligence Data Machine Learning Pharmaceuticals 45

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

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud computing examples.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

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

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action. To buy or build?

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. That whole model is breaking down.”

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

ParkMyCloud

MAY 29, 2019

The Cloud Job Market is on the Rise. According to Gartner TalentNeuron , an online real-time labor market insight portal, “there are about 50,248 cloud computing positions available in the U.S. Business Intelligence Analyst. IoT Engineer. Here are some trends we’re seeing. Cloud Talent Demand Trends.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

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. A subscriber is a receiving program such as an end-user app or business intelligence tool.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

SEPTEMBER 23, 2021

This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. We’ll also analyze some of the data hub products existing in the market to explore how this technology works and what it actually can do. What is Data Hub? Cloudera Data Hub.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

JUNE 26, 2023

It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. Data gathering also plays a key role in different steps of product management , from product discovery to product marketing. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

CTOvision

JUNE 22, 2015

Rather than bolting on third party analysis tools to interact with data in the database, HANA provides a unified architecture including: libraries for predictive analytics, text processing, spatial analysis, and business intelligence, all operating against the data resident in memory within the HANA platform.

Sport 116

Sport Comparison Internet Games 116

Altexsoft

OCTOBER 2, 2020

Read the article to learn what components data management consists of and how to implement a data management strategy in your business. We’ll also talk about the data management platforms available on the market. What is data management and why is it vital for business growth?

Database Administration 64

Database Administration Strategy Data Technical Review 64

Apiumhub

AUGUST 28, 2018

It is a cloud-based big data analytics platform, built to improve data-driven decision making. Instanda has built a tool which consolidates question sets, underwriting workflow, documentation, a rating engine and the customer journey so that underwriters can respond to changing market demands quicker than before.

Insurance 95

Insurance Technical Review Artificial Inteligence Policies 95

Altexsoft

FEBRUARY 24, 2023

Kubernetes alternatives Frankly speaking, Kubernetes doesn’t have true rivals in the market, since most of them are enhanced variations of vanilla K8s — or its distributions — and tools to streamline Kubernetes operations. Framework Programming The Good and the Bad of Node.js Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

CIO

JANUARY 20, 2023

Here’s what to consider: Ingesting the data : To be able to analyze more data at greater speeds, organizations need faster processing via high-powered servers and the right chips for AI—whether CPUs or GPUs. 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

Apiumhub

APRIL 8, 2021

Adrian specializes in mapping the Database Management System (DBMS), Big Data and NoSQL product landscapes and opportunities. Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. Ronald van Loon. Kirk Borne. Marcus Borba. Cindi Howson.

Artificial Inteligence 109

Artificial Inteligence Technical Advisors Data Machine Learning 109

Altexsoft

OCTOBER 24, 2019

With a data warehouse, an enterprise is able to manage huge data sets, without administering multiple databases. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights. Cloud data warehouse.

Architecture 50

Architecture Enterprise Data Technical Review 50

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

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data. Final word.

Tools 16

Tools Data Technical Advisors Technical Review 16

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. Often, no technologies are involved in data analysis.

Analytics 102

Analytics Technical Review Technology Applications 102

Sunflower Lab

APRIL 2, 2024

For CEOs, predictive analytics is an essential tool because it enables them to know which clients are likely to buy certain products or services, how the market trends will play out in the future, and how the business is performing – information needed to make the right strategic decisions that will support growth and profitability.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40