Altexsoft

AUGUST 12, 2020

IoT solutions have become a regular part of our lives. This article describes IoT through its architecture, layer to layer. Major IoT building blocks and layers. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. The skeleton of an IoT system.

IoT 140

IoT Architecture Wireless Transportation 140

Altexsoft

FEBRUARY 8, 2021

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. Cost control. Shipment tracking and vehicle maintenance.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Actian

SEPTEMBER 17, 2019

Many of these systems were built from the ground up on expensive legacy hardware where resource constraints and lack of standards meant that functionality was pared down and focused only on the localized and immediate requirements of the OT infrastructure and process at hand. In essence, they’re libraries built only for the librarians.

Artificial Inteligence 40

Artificial Inteligence Data Artificial Intelligence IoT 40

Altexsoft

FEBRUARY 2, 2023

An RTLS or real-time location system is an autonomous, IoT -based network of connected devices that enables tracking and identification of objects. Centralized access to data enables business intelligence and streamlines reporting, planning, and decision-making processes. So, let’s discuss the RTLS infrastructure in more detail.

IoT 52

IoT Systems Review System Storage 52

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. A complete guide to business intelligence and analytics. The role of business intelligence developer. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

AUGUST 31, 2020

Large part of data comes from widely adopted IoT devices used in 60 percent of hospitals in the US today. To learn general terms of data processing, take a look at our business intelligence article. An example of predictive maintenance for healthcare hardware is Hitachi company.

Healthcare 72

Healthcare Analytics Examples Data 72

OTS Solutions

JANUARY 3, 2019

The energy saved through intelligent software and hardware can then be directed towards a meaningful purpose that accomplishes additional company goals and objectives faster.

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Artificial Intelligence Artificial Inteligence 3D Innovation 100

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. “If you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge — and we never really quite got there,” Tully said.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

ParkMyCloud

MAY 29, 2019

Business Intelligence Analyst. To work in BI, you do not need to be certified, but it may help you get an advantage when considered for a job, with certifications like Certified Business Intelligence Professional and Certified Application Associate: Business Intelligence. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Altexsoft

AUGUST 11, 2022

But before talking about software systems, let’s discuss the hardware part. Hardware and technologies in rail fleet management. IoT and telematics in rail. When connected to cloud-based storage and processing solutions, they create the Internet of Things (IoT) infrastructure. Build a custom IoT network.

Technical Review 52

Technical Review Industry Technology IoT 52

Altexsoft

MARCH 31, 2020

You need to have infrastructure, hardware and/or software, that will allow you to do that. Data sources (transaction processing application, IoT device sensors, social media, application APIs, or any public datasets ) and storage systems (data warehouse or data lake) of a company’s reporting and analytical data environment can be an origin.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Collecting data from connected sensors and external sources.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

DECEMBER 23, 2022

As said, ETL and ELT are two approaches to moving and manipulating data from various sources for business intelligence. streaming data from telematics IoT devices. On top of that, you don’t need to purchase expensive hardware like with traditional on-premise ETL. ELT vs ETL. Order of process phases. Data availability.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

JULY 22, 2022

Note that many of them involve creating a complex Internet of Things (IoT) infrastructure with multiple sensors, smart devices, and connected software to process data. Financial, business intelligence, and general ledger systems. CARGOES: a suite of next-gen logistics products based on machine learning and IoT.

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

MAY 17, 2021

We have a number of articles, explaining the importance of using data for making more informed decisions and gaining competitive advantage (read about analytics in the supply chain industry , business intelligence strategy , and analytics maturity ). Various IoT devices such as cameras, sensors, telematics devices, drones, etc.,

Systems Review 81

Systems Review System Technical Review Technology 81

Hu's Place - HitachiVantara

JULY 1, 2019

Justin Bean, our Director of Product Marketing for Smart Cities, points out that while the vast amount of this video data is being used to reduce crime, it could also be used to create a wealth of insights and alerts to support smarter operations, customer experiences, and business outcomes. Video data is IoT data and it is massive.

Video 45

Video Artificial Intelligence Artificial Inteligence IoT 45

Altexsoft

MARCH 29, 2019

A telematics unit can freely integrate with other hardware (Electronic Logging Device, driver cameras, etc), software, and mobile apps to provide insight into different freight-related business operations. Offering their hardware units for free, the company sends agents to install the devices at no extra charge.

Software Review 101

Software Review Software Innovation Systems Review 101

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. The global SI’s, like Accenture, don’t provide the hardware and software that we do.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

OCTOBER 2, 2020

A data architect focuses on building a robust infrastructure so that data brings business value. Companies acquire data from multiple sources — manual entries, IoT devices, payment processors, CRMs, CMSs, eCommerce platforms, web and mobile analytics tools, social media. Data modeling: creating useful and meaningful data entities.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. A subscriber is a receiving program such as an end-user app or business intelligence tool. Multi-language environment.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

JULY 18, 2023

With the rise of IoT and real-time data needs, Apache Spark’s streaming component has gained prominence. This flexible approach allows users to select the Cluster Manager that best fits their specific needs, whether those pertain to workload scale, hardware type, or application requirements. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. Dealing with data is where core technologies and hardware prove essential. An organization’s data, applications and critical systems must be protected.

Analytics 342

Analytics Artificial Inteligence Artificial Intelligence Hardware 342

Altexsoft

OCTOBER 24, 2019

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. An enterprise data warehouse is a unified repository for all corporate business data ever occurring in the organization. Reflects the source data.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

JUNE 20, 2019

Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. Not only does it require a lot of disk space even to be installed, you’ll also have to consider constant hardware updates if you deploy it on premises. And the first of them is IoT applications. Resource-consuming.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

MAY 14, 2021

This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 14, 2023

Modern data stack vs traditional data stack Traditional data stacks are typically on-premises solutions based on hardware and software infrastructure managed by the organization itself. There are two main areas of use within this component: the first is data analytics and business intelligence and the second is data science.

Data 59

Data Technical Review Software Review Artificial Inteligence 59