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

Xicom

MARCH 14, 2023

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Mobile Development 52

Altexsoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. Alphonso – the US-based TV data company – proves this statement. You will also learn how propensity models are built and where is the best place to start.

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78

CIO

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

Artificial Inteligence 268

Artificial Inteligence Strategy Data Machine Learning 268

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

Mobilunity

AUGUST 3, 2021

Big Data is a collection of data that is large in volume but still growing exponentially over time. It is so large in size and complexity that no traditional data management tools can store or manage it effectively. While Big Data has come far, its use is still growing and being explored.

Big Data 52

Big Data Data Engineering Engineering Data 52

The Crazy Programmer

MARCH 15, 2021

It is a very versatile, platform independent and scalable language because of which it can be used across various platforms. It is the base of Android programming, used to develop mobile applications, and also preferred for automated testing owing to its platform independence property. It is highly scalable and easy to learn.

Programming 317

Programming Open Source Quality Assurance Trends 317

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Altexsoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. User independence. Model-based.

Artificial Inteligence 76

Artificial Inteligence Machine Learning Systems Review System 76

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

JULY 28, 2022

After covid, it is now a need and necessity to have a website or a mobile application, website, or web application to compete in the new world. From simple branch offices to ATMs and mobile apps, digital transformation has made things easier, given more options, and made things more fun. AI ( Artificial Intelligence ).

Artificial Inteligence 204

Artificial Inteligence Blockchain Banking Fintech 204

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

Xicom

SEPTEMBER 26, 2018

You talk to any Software developer and he will agree that right now machine learning is the hottest and latest trends in software development market. Researchers believe that Machine Learning is going to totally transform the web development process of many types, including web and mobile applications development.

Machine Learning 40

Machine Learning Artificial Inteligence Web Development Development 40

Openxcell

DECEMBER 18, 2023

In the field of creating mobile apps, AI-powered tools and frameworks have become indispensable resources for developers. Data Analysis In the world of Big Data, where data is currency, it is tiresome to sift through huge amounts of data quickly and thoroughly. One could say it is humanly impossible!

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

Mobilunity

APRIL 23, 2024

Android, the world’s most popular mobile operating system, makes banking apps accessible to many consumers. Essential Technical Skills Android’s wide use makes it a great tool for making mobile apps, while Java’s powerful features make it perfect for building secure, high-performance backend systems.

Fintech 52

Fintech Banking Weak Development Team Technical Review 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

TechCrunch

MAY 21, 2021

For this morning’s edition of The Exchange, Alex Wilhelm studied information recently released by mobile gaming studio Jam City as it prepares to go public in a $1.2 “Jam City is a bit like Zynga, but unless you are a mobile-gaming aficionado, you might not have heard of it,” he writes. So, let’s explore the data.

Marketing 244

Marketing Technical Review Software Review Windows 244

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 Artificial Inteligence Development 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.

AWS 64

AWS Technical Review Load Balancer Cloud 64

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Artificial Inteligence 69

Artificial Inteligence Data Disaster Recovery Artificial Intelligence 69

Perficient

MAY 23, 2023

Real-time data analytics and machine learning algorithms allow manufacturers to monitor and optimize operations, enabling predictive maintenance, minimizing downtime, and improving overall productivity. A custom mobile app provides remote access to engineering data and designs with interactive dashboards.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Openxcell

JANUARY 20, 2021

Then, to use these technologies, we developed various programs and mobile applications that are worked by programming languages. It has facilitated the whole mobile app development process to a great extent and won the title mentioned above. Such factors make Python perfect for mobile applications and custom applications.

Software Review 52

Software Review Technical Review Development Systems Review 52

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. It has become a necessary tool in the era of big data. It is a suite of software and services to transform data into actionable intelligence and knowledge. ability to map your data.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Altexsoft

MAY 20, 2020

Other most popular activity areas are energy, mobility, smart cities and healthcare. In addition to broad sets of tools, it offers easy integrations with other popular AWS services taking advantage of Amazon’s scalable storage, computing power, and advanced AI capabilities. The largest target areas for IoT platforms.

IoT 141

IoT Azure AWS Transportation 141

Xicom

AUGUST 30, 2021

But, now is the right time when fintech moves past the primary amenities of just online payments and sheaths everything under the app development process; varying from credit risks to running hedge funds with the help of emerging technologies like Blockchain, Machine Learning algorithms and data science. .

Fintech 52

Fintech Trends Development Blockchain 52

Openxcell

DECEMBER 27, 2021

Based on Google’s V8 engine, this virtual machine has a built-in interpreter, compiler, optimizer, and more. is mainly used for compiling JavaScript functions into machine code. include its speed, scalability, and the fact that developers can use it to develop both frontend and backend with a single unified stack. Python 3.10

Technical Review 52

Technical Review Technology Software Review Open Source 52

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

JULY 1, 2021

PaaS solutions support the development of virtually any type of system, including web applications, mobile applications, big data, AI, and even hardware based solutions like internet of things (IoT) devices. Microsoft Azure Machine Learning (Azure ML). Development capabilities. Management. AI as a Service.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Datavail

JUNE 22, 2021

This includes innovations in machine learning for IT Ops , updates to Azure Resource Manager (ARM), greater storage efficiency, and the soon-to-be-released Azure Chaos Studio. Unlimited Scalability : The Azure cloud platform provides hyperscale relational databases and a fast NoSQL database with open APIs for any scale.

Azure 40

Azure Artificial Inteligence Cloud Company 40

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 62

Retail Big Data Case Study Systems Review 62

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 66

Course Training Artificial Inteligence Software Review 66

Gorilla Logic

OCTOBER 14, 2022

With custom software development, organizations achieve more targeted solutions, greater scalability, and increased reliability, in a much more cost-effective way than alternative software solutions. Custom mobile applications. As with mobile apps, the growth of 5g is expected to spur IoT app development.

Software Development 52

Software Development Weak Development Team Software UI/UX 52

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

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 Artificial Intelligence Mobile 40

Trigent

APRIL 27, 2022

Digital and mobile channels are now critical for customer acquisition and satisfaction. The global mobile payment market is expected to surpass US$ 590 Bn by 2032 at a CAGR of 30% for the forecast period 2022-2032. Cloud computing – Financial companies now rely on external data centers to manage their workloads.

Banking 52

Banking Blockchain Artificial Inteligence Infrastructure 52