Apiumhub

MARCH 18, 2021

Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. Business analytics is simply about using data to generate insights.”.

Business Analytics 52

Business Analytics Analytics Tools Trends 52

CIO

FEBRUARY 14, 2023

AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions. report they have established a data culture 26.5%

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CTOvision

JULY 2, 2015

What this now allows is more deployment options for customer’s big data workloads, adding more choices to an ecosystem of hardware and cloud configurations. Enterprises can now leverage the stability, security and reliability of Red Hat Enterprise Linux and SAP HANA to run public cloud-based big data workloads.

Linux 114

Linux AWS Enterprise Big Data 114

OTS Solutions

DECEMBER 12, 2023

Big data analytics Big data analytics has revolutionized the manufacturing industry by enabling businesses to efficiently collect, analyze, and interpret vast amounts of data generated at every stage of the production process.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

Mentormate

APRIL 15, 2024

This platform independence has made Java a preferred choice for developing cross-platform applications, ranging from desktop to mobile and enterprise solutions. With built-in security features and an intuitive development environment, Java provides a solid foundation for secure, scalable, and adaptable software products.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

MARCH 13, 2019

The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data. Who are the Data Heroes? KPN – Uses HDP and HDF to ingest fiber, mobile, and router data to improve the customer experience.

Artificial Inteligence 72

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 72

Xicom

JANUARY 4, 2023

In the ever-evolving world of technology, mobile app development is no exception. In 2023, AI will remain at the forefront of app development trends and will be incorporated into more mobile applications than ever before. AI can also be used to improve the security of mobile apps by detecting threats and malicious activity.

Trends 59

Trends Development Artificial Inteligence Artificial Intelligence 59

Perficient

MARCH 3, 2023

They want to deploy a powerful content management solution on a scalable and highly available platform and also shift focus from infrastructure management so that their IT teams focus on content delivery. Progressing from visiting a website to filling out an online form, as one example, should be a seamless process. You can download it here.

AWS 64

AWS Technical Review Load Balancer Cloud 64

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

Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

Kentik

JULY 10, 2018

Monitoring needs to span multiple domains: the private enterprise data center and WAN; fixed and mobile service provider networks; the public Internet; and hybrid multi-cloud infrastructure. Network data is big data. Big Data was born in the cloud and Big Data analytics is well-suited for cloud-based deployments.

Tools 45

Tools Cloud Big Data WAN 45

Openxcell

DECEMBER 18, 2023

In the field of creating mobile apps, AI-powered tools and frameworks have become indispensable resources for developers. Predictive Analytics Predictive analysis is another crucial avenue to predict user behavior and preferences. It refers to making calculated decisions based on past patterns in current and historical data.

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

Cloudera

DECEMBER 7, 2020

This data-centric approach is delivering the following business capabilities: Customer Identification —Develop processes to identify customers and visitors across channels (store, web, mobile, social, paid search, etc.). customer digital interactions annually, this was truly a ‘big data’ opportunity.

Retail 64

Retail Big Data Case Study Systems Review 64

Perficient

MAY 23, 2023

Information technology (IT) typically refers to the use of computers, software, and networks for managing and processing data and information. It encompasses areas such as enterprise resource planning (ERP) systems, data analytics, cybersecurity, cloud computing, and communication networks. Smart Factories and Industry 4.0:

Technology 59

Technology Artificial Inteligence IoT Machine Learning 59

Datavail

SEPTEMBER 17, 2019

While there are a large number of options within the realm of NoSQL databases for big data, MongoDB has the majority market share. S&P Global Market Intelligence data indicates the company experienced 182.1 Turning fast-moving internet of things (IoT) data streams into insight. percent growth in shares in 2018.

Cloud 40

Cloud Azure Big Data Storage 40

Actian

FEBRUARY 24, 2020

Still, the underlying premise is the same – in a post-digital transformation environment, companies need the ability to leverage a wide variety of technology components to support their business: IoT, cloud services, mobile devices, SaaS software, and traditional IT systems. RPA vendors also have a data challenge.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Artificial Intelligence 40

Datica

AUGUST 14, 2019

The cloud is a scalable, low-cost way to develop the complex infrastructure required to support a variety of critical organizational activities, especially for providers and vendors in healthcare settings. Enabling big data applications.

Healthcare 66

Healthcare Cloud Storage Big Data 66

Actian

JUNE 10, 2019

Companies have been moving applications and IT components to the cloud for a few years to save costs, improve performance and achieve solution scalability. The trend of 2019 is for companies to migrate data warehouses to the cloud where they can be operated at a lower cost and with greater performance and scalability.

Trends 40

Trends Data IoT Big Data 40

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Batch processing.

Analytics 20

Analytics Data IoT Analysis 20

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. The 21st century has seen the advent of some ingenious inventions and technology.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

Cloudera

FEBRUARY 12, 2019

That is the number of unique mobile subscribers that Asia Pacific is projected to have by 2025, which accounts for more than half of the world’s mobile subscribers. Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent.

Artificial Inteligence 40

Artificial Inteligence IoT Mobile Machine Learning 40

Progress

JULY 19, 2019

With the right health IT solutions, hospitals can tackle regulated problems—specifically operational efficiency, with scalability, flexibility and innovation. Leveraging Data to Improve Outcomes and Drive Patient Adherence. This trend, known as Hospital 4.0, Hospital 4.0

Artificial Inteligence 40

Artificial Inteligence Artificial Intelligence Healthcare Infrastructure 40

Xicom

JANUARY 10, 2020

Also Read : TOP MOBILE APP DEVELOPMENT COMPANIES IN DUBAI,UAE. Xicom Technologies is a passionate and result oriented mobile and web development company rooted in Dubai, India and the USA since 2002. Services Offered: Mobile app development, web development. Ajath (Among The Trusted Web Development Companies In The UAE).

Web Development 69

Web Development Development Team Review Company UI/UX 69

Openxcell

SEPTEMBER 18, 2023

The Doctor on Demand service is available both on desktop computers (PCs) and mobile devices for patients suffering from flu symptoms, chronic health conditions, migraines, seasonal allergies, etc. Big data Telemedicine apps generate and collect huge amounts of patient data, including medical records, images, and real-time monitoring.

UI/UX 52

UI/UX Technical Review Development Software Review 52

RapidValue

SEPTEMBER 9, 2019

Big Data Analytics. One of the major advantages offered by leveraging cloud computing is the ability to manage huge quantities of both structured and unstructured data in order to yield the benefit of extracting business value. Then you install and configure your platform. Disaster Recovery.

Disaster Recovery 20

Disaster Recovery Cloud Backup Big Data 20

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.

Big Data 78

Big Data Analytics Tools Applications 78

O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 62

Course Training Artificial Inteligence Software Review 62

Apiumhub

JANUARY 30, 2019

Powerful website/mobile app = Software development. Lately, people started to understand the importance of quality software and scalability became one of the top priorities for ecommerce managers. Big Data analytics. Many organizations are struggling with more data than they know what to do with.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

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

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Text Analysis for Business Analytics with Python , June 12.

Course 47

Course Training Artificial Inteligence Software Review 47

Actian

FEBRUARY 24, 2020

The first step in achieving business agility is to collect the right amount and types of data about what is going on in your environment. Recent technology trends, such as IoT, embedded sensors, data subscriptions, and mobile apps, have greatly expanded your data collection options. Actian can help.

Agile 40

Agile Analytics Data IoT 40

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Data and analytics. Internet of Things.

Azure 52

Azure AWS Cloud How To 52

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Fraud Analytics Using Python , April 30. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21.

Course 46

Course Artificial Inteligence Training Google Cloud 46