Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. The creation and development of these domestic – and mundane – smart objects have doubtless contributed to the still burgeoning popularity of the IoT.

Industry 87

Industry Artificial Inteligence Blockchain Technical Review 87

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

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. And it is partnering with Azure to combine data centers.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Cloudera

SEPTEMBER 11, 2020

Much of the changes we’re seeing from retail and consumer goods leaders in terms of impact are centered around the use of data and analytics. What they have learned is that often their legacy Machine Learning models (e.g. demand forecasting) based solely on historical transaction data – really missed the mark.

Retail 91

Retail Technical Review Apparel Analytics 91

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

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Xicom

FEBRUARY 21, 2020

Applications that use data consumption, including Voice Recording, Language Understanding, Weather App, etc. Ecommerce apps like Amazon, Flipkart, Myntra, etc, which can be developed at $50,000 to $60,000. You can get it developed at $15,000 to $17,000. Apps that involve user authentication like Banking Apps, eWallet, Google Pay, etc.

Software Development 76

Software Development Software Review Weak Development Team Software 76

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

Existek

JANUARY 11, 2022

Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. The next big step in advancing Azure was introducing the container strategy, as containers and microservices took the industry to a new level. Machine learning.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 11, 2019

We talked with experts from Booking.com, Wolfram Research, BetConstruct, and other data science specialists who shared their thoughts about opportunities as well as their influence on business, research, and everyday lives for both industries. AutoML: automating simple machine learning tasks. Highlights of 2018 in brief.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Altexsoft

OCTOBER 17, 2019

Informatica Data Quality: automating data quality management for machine learning and AI. Informatica Data Quality uses a metadata-driven machine-learning-based approach to data quality management. It provides batch data quality but can scale to real-time and big data as well.

Tools 16

Tools Data Technical Advisors Technical Review 16

Sunflower Lab

APRIL 2, 2024

Power BI Solution: Utilizing IoT sensors to collect real-time data on medical equipment, Microsoft Power BI applies predictive models to anticipate maintenance needs. By analyzing equipment performance data, maintenance logs, and historical failure rates, Power BI predicts equipment failures before they occur.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

MARCH 14, 2023

Data sources The first component of the MDS architecture is a place, or in most cases, places where your data originates from. Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices.

Data 59

Data Technical Review Software Review Artificial Inteligence 59