CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

OTS Solutions

OCTOBER 10, 2023

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability.

Big Data 98

Big Data Tools Data Storage 98

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. We are using them for something as basic as everyday chores to something as big as running a company!

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

OTS Solutions

JUNE 2, 2023

has been transforming the manufacturing sector through the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data analytics. and Big Data Analytics in Predictive Maintenance Industry 4.0 is also enabling the use of big data in predictive maintenance.

Mobile 130

Mobile Artificial Inteligence Industry IoT 130

CIO

JANUARY 20, 2023

The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers. For data to travel seamlessly, they must have the right networking system.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

AWS Machine Learning - AI

NOVEMBER 6, 2024

By using Streamlit and AWS services, data scientists can focus on their core expertise while still delivering secure, scalable, and accessible applications to business users. He is also personally passionate about robotics and IoT, and constantly looks for new ways to use technologies for innovation.

Generative AI 108

Generative AI AWS Artificial Inteligence Applications 108

CIO

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

Artificial Inteligence 159

Artificial Inteligence IoT Technical Review Artificial Intelligence 159

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Scalability Data Analytics 44

TechFides Blog

APRIL 1, 2025

Through scalable processes, real-time data, and advanced analytics, companies are reinventing their business models to achieve efficiency and reduce waste. Real-Time Data Powers Smarter Decisions Access to real-time information has transformed decision-making.

Sustainability 40

Sustainability Technology Enterprise Artificial Inteligence 40

CTOvision

AUGUST 13, 2016

Samsara’s team includes veteran executives and technical leaders from companies including Google, Apple, and Meraki, who bring experience in big data, cloud software, and hardware design. Meraki was acquired by Cisco for $1.2 For more on Samsara see: https://www.samsara.com.

Internet 61

Internet Scalability IoT Wireless 61

CIO

OCTOBER 18, 2023

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

Artificial Inteligence 200

Artificial Inteligence Analytics Machine Learning Artificial Intelligence 200

CTOvision

AUGUST 7, 2014

Hadoop-based machine and log data management solution offers dramatic improvements in scalability, manageability and total cost of ownership. a leading large-scale machine and log data management company, today announced the general availability of X15 EnterpriseTM, a revolutionary machine and log data management solution.

Enterprise 101

Enterprise Software Data Big Data 101

CTOvision

FEBRUARY 12, 2016

This event is a great way to learn from peers in the business and technology community, with plenty of sessions designed to share best practices in implementing scalable enterprise IT. And it is a great way to learn the latest from IBM and many of their partners in the ecosystem.

Big Data 63

Big Data IoT Mobile Scalability 63

Mobilunity

FEBRUARY 12, 2025

Python in Web Application Development Python web projects often require rapid development, high scalability to handle high traffic, and secure coding practices with built-in protections against vulnerabilities. Lets explore some of the most common ones in detail.

Programming 40

Programming Applications Software Review Systems Review 40

CTOvision

JUNE 15, 2015

IBM will also put more than 3,500 IBM researchers and developers to work on Spark-related projects at more than a dozen labs worldwide; donate its breakthrough IBM SystemML machine learning technology to the Spark open source ecosystem; and educate more than one million data scientists and data engineers on Spark.

Open Source 117

Open Source Machine Learning Artificial Inteligence Big Data 117

Apiumhub

AUGUST 20, 2018

This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. When analysing big data, or really any kind of data with the motive of extracting useful insights, a few key things are paramount. Clean your data.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

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

Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.

IoT 47

IoT Software Serverless AWS 47

OTS Solutions

DECEMBER 12, 2023

IoT The advent of the Internet of Things (IoT) has brought about unprecedented opportunities and advancements in various sectors, with the manufacturing industry being no exception. By harnessing the power of big data analytics, the manufacturing industry has gained a competitive edge in today’s data-driven world.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

AWS Machine Learning - AI

OCTOBER 31, 2024

Performance optimization The serverless architecture used in this post provides a scalable solution out of the box. He enjoys supporting customers in their digital transformation journey, using big data, machine learning, and generative AI to help solve their business challenges.

Generative AI 111

Generative AI Lambda Applications AWS 111

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. report they have established a data culture 26.5% report they have a data-driven organization 39.7% report they are managing data as a business asset 47.4%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Capgemini

MARCH 16, 2022

makes it possible to consider obstacles as key elements to unlock scalability and initiate the Factory of the Future. technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Industry 4.0 But the question how to start remains.

Industry 98

Industry IoT Technical Review Automotive 98

Kentik

FEBRUARY 22, 2018

[vc_row][vc_column][vc_column_text] The Internet of Things (IoT) represents a massive threat to network infrastructure as already seen in widely publicized IoT-based DDoS attacks. The KrebsOnSecurity website came under a sustained DDoS attack in September 2016 from more than 175,000 IoT devices.

IoT 40

IoT Big Data Malware Internet 40

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). IoT infrastructure represents a broad diversity of technology. So, how can digital businesses cope with these challenges without giving up on IoT?

IoT 40

IoT Network Tools Big Data 40

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

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

JUNE 25, 2019

Data architect can also design collective storage for your data warehouse – multiple databases running in parallel. This will improve the warehouse’s scalability. Adding business context to data, metadata helps transform it into comprehensible knowledge. Metadata defines how data can be changed and processed.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

Mobilunity

MARCH 25, 2025

It also provides insights into each language’s cost, performance, and scalability implications. Given its clear syntax, integration capabilities, extensive libraries with pre-built modules, and cross-platform compatibility, it has remained at the top for fast development, scalability, and versatility.

Software Review 40

Software Review Software Development Software Development 40

Datavail

APRIL 6, 2021

Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Oracle HCM Cloud. Oracle Analytics Cloud. Oracle SCM and Manufacturing Cloud. Your processes are standardized across the enterprise or can be changed to fit the application.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Inteligence 97

Kaseya

MAY 13, 2021

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122