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. Internet Of Things IoT.

Engineering 270

Engineering Wireless 3D Programming 270

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. What that means is that this creates new revenue opportunities through IoT case uses and new services. This is the next big opportunity for telcos. 5G and IoT are going to drive an explosion in data.

IoT 112

IoT Industry Artificial Inteligence Machine Learning 112

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

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? How does it work?

Big Data 98

Big Data Tools Data Storage 98

Confluent

MAY 22, 2019

Through the Internet of Things (IoT), it is also connecting humans to the machines all around us and directly connecting machines to other machines. In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution.

IoT 98

IoT Google Cloud Scalability Microservices 98

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

CTOvision

DECEMBER 13, 2016

Any business hoping to enjoy success now and well into the future knows that big data is the way to go. With big data analytics, companies have become more versatile, adopting new technological solutions to enhance their capabilities, efficiently run their organizations, and increase revenue. Sentiment Analysis.

Big Data 85

Big Data Video Analytics Strategy 85

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

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

CTOvision

JULY 10, 2018

The 21st century is all about data, and IoT devices excel at producing it. The world has generated more data in 2017 than in the previous 5000 years added together. When you feel your data analysts cannot handle the amount of data, or that their analysis is one step behind, machine learning may be your [.].

IoT 63

IoT Big Data Artificial Inteligence Data 63

CIO

MAY 16, 2024

But Parameswaran aims to parlay his expertise in analytics and AI to enact real-time inventory management and deploy IoT technologies such as sensors and trackers on industrial automation equipment and delivery trucks to accelerate procurement, inventory management, packaging, and delivery. It is the art of analysis.

Artificial Inteligence 156

Artificial Inteligence IoT Transportation Analytics 156

InfoWorld

APRIL 11, 2024

The Apache Software Foundation develops and maintains open source software projects that significantly impact various domains of computing, from web servers and databases to big data and machine learning.

Analysis 68

Analysis Data IoT Open Source 68

CTOvision

FEBRUARY 10, 2015

Hitachi Data Systems Announces Intent to Acquire Pentaho to Deliver More Value From Big Data and the Internet of Things That Matter. Acquisition delivers data integration, business analytics expertise, and foundational technologies that accelerate big data value. Press release below from: [link].

System 114

System Data Big Data Business Analytics 114

CIO

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. This includes hunting and deep, high-end analysis. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm.

Security 218

Security Innovation Artificial Inteligence Weak Development Team 218

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Today, consumers’ preferences are changing momentarily and often chaotically. Cost control.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CTOvision

APRIL 9, 2015

Today''s data-intensive analytic platforms offer a dizzying amount of data, originating from sensors, markets, social media, the Internet of Things, and countless other sources. All this data can cause a significant delay in decision-making. ParStream Advances IoT Analytics with New Release (dataversity.net).

Big Data 97

Big Data Hardware Analytics Open Source 97

CTOvision

JANUARY 6, 2016

Gartner predicts that number of IoT devices in use worldwide will grow from an estimated 5 billion in 2015 to some 25 billion connected devices by 2020. The best business strategies will perfectly balance the ever-growing IoT market opportunities versus a rapidly evolving threat environment. Greater data privacy issues will be exposed.

IoT 67

IoT Internet Authentication Automotive 67

CTOvision

AUGUST 7, 2014

Machine data is a valuable and fast-growing category of Big Data. Derived from system logs and other sources, this type of data is used to monitor, troubleshoot and optimize business infrastructures and operations. Machine and log data analysis is an integral part of enterprise data management.

Enterprise 101

Enterprise Software Data Big Data 101

CTOvision

DECEMBER 5, 2014

Insights include: IoT – Internet Of Things will become practical as government figures how to extend applications, solutions and analytics from the Gov Enterprise & Data Centers. News Technology News Best practice Big Data Cloud Computing Cloud Foundry IntelliDyne Software as a service'

Government 105

Government Infrastructure Enterprise Data Center 105

Datavail

NOVEMBER 20, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Back in January, the big data news portal Datanami put together a list of “10 Big Data Trends to Watch for 2019.”

Big Data 11

Big Data Analytics Trends Artificial Inteligence 11

Altexsoft

DECEMBER 16, 2019

strives to achieve these goals through automation by applying sensors, robotics, big data, Internet of Things technologies, and connecting all elements of the chain. IoT technologies. Internet of Things or IoT technologies is the term used for devices and software attached to different items to receive and send data.

Transportation 19

Transportation IoT Blockchain Retail 19

OverOps

SEPTEMBER 20, 2018

The Do’s and Don’ts That Every IoT Project Should Be Built On. It’s the story of how a simple timesheet and the mixture of automation, machine learning and Splunk, cannot only thwart an insider threat but also provide highly detailed statistical analysis. Golden Rules – The Do’s and Don’ts That Every IoT Project Should Be Built On.

Artificial Inteligence 133

Artificial Inteligence Artificial Intelligence DevOps IoT 133

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. 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. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

CTOvision

JUNE 30, 2014

The real-time analysis and visualization of massive amounts of data is increasingly becoming the basis for fast and intelligent business decisions. The JackBe transaction was one of the more high profile Big Data deals of 2013, recently winning the M&A Advisor Deal of the Year award. About Software AG.

CTO Coach 103

CTO Coach Big Data Analysis IoT 103

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

O'Reilly Media - Ideas

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Text and Language processing and analysis.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Enterprise 111

ProCal Tech

SEPTEMBER 14, 2022

9 Benefits of using IOT Technology Home September 15, 2022 Latest Technology In this article by Procal, we will be discussing briefly how IoT benefits businesses. Also, IoT devices are very helpful to manage within each department and throughout the business structure. So let’s get started.

IoT 52

IoT Technical Review Technology Telecommunications 52

Invid Group

NOVEMBER 5, 2023

Why Predictive Analysis Tools will be Key for Businesses in 2024 BY: INVID In today’s fast-paced and ever-evolving business landscape, staying ahead of the competition has never been more challenging. As technology advances, so does the amount of data that businesses generate and collect.

Analysis 52

Analysis Tools Artificial Inteligence Machine Learning 52

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 98

Analytics Network Innovation IoT 98

CIO

DECEMBER 13, 2023

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago.

Generative AI 148

Generative AI Data Artificial Inteligence Video 148

Kentik

MAY 8, 2016

As we discussed in an earlier post, From NetFlow Analysis to Business Outcome , a Big Data approach to collecting, storing, accessing, and analyzing management data enables the level of collaboration that’s required for an organization to exhibit the key characteristics of a digital business.

Big Data 40

Big Data Data Network Agile 40

Trigent

NOVEMBER 23, 2021

IoT adoption, coupled with cloud platforms and Big Data analysis, provides the Media and Entertainment industry a significant boost to utilizing their machine and human assets. IoT bridges the physical and digital world. A classic example of the initial showcasing of the power of IoT and AR is Pokemon GO.

IoT 52

IoT Media Industry VR 52

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 Artificial Inteligence 52

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 45

Big Data Scalability Data Analytics 45

Altexsoft

JUNE 25, 2019

However, they often forget about the fundamental work – data literacy, collection, and infrastructure – that must be done prior to building intelligent data products. If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

CTOvision

NOVEMBER 24, 2015

At the 2015 International Conference for High Performance Computing, Networking, Storage and Analysis (SC15), in Austin, Texas, Bright Computing was recognized in the annual HPCwire Readers’ and Editors’ Choice Awards. This includes Bright Cluster Manager for HPC, Bright Cluster Manager for Big Data, and Bright OpenStack.

Big Data 62

Big Data Conference Storage IoT 62

Actian

AUGUST 19, 2019

IoT devices create plenty of data – much more that you might think. When you multiply this amount of data by the number of devices installed in your company’s IT ecosystem, it is apparent IoT is a truly big data challenge. Why would you move IoT data to the cloud?

IoT 45

IoT Cloud Data Analytics 45