Apiumhub

SEPTEMBER 20, 2023

October is around the corner, and it’s a prime time for tech enthusiasts, industry leaders, and innovators to come together and explore the latest trends, breakthroughs, and ideas. In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. For more information, visit the event site here.

Conference 96

Conference Artificial Inteligence UI/UX Machine Learning 96

Altexsoft

FEBRUARY 8, 2021

And planning, in turn, relies on understanding of current performance, past trends, existing risks, and possible future scenarios. There are two main approaches to demand planning: Traditional statistical methods make forecasts based on historical data and assume the continuation of existing trends. Cost control.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

TIBCO - Connected Intelligence

DECEMBER 7, 2021

As one of the fastest-growing trends in data and analytics, data fabrics have cemented themselves as a popular solution to today’s data challenges. However, there is still some confusion regarding the finer details of a data fabric and how it can provide the most benefit to your business.

Architecture 49

Architecture Data Government Agile 49

Altexsoft

FEBRUARY 22, 2022

Predictive maintenance (PdM) involves constant monitoring of your equipment condition and conducting repairs only when bad trends are detected – but before breakdowns occur. Reporting and analytics is essential to obtain a bird eye view of your fleet and make data-based decisions.

Software Review 52

Software Review Technical Review Software Technology 52

O'Reilly Media - Ideas

MARCH 6, 2019

Spotlight on Innovation: AI Trends with Roger Chen , March 13. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. IoT Fundamentals , April 4-5.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

Apiumhub

APRIL 5, 2022

M2- Data Engineering Stage: Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Presentations by some of the leading experts, researchers and practitioners in the area.

Innovation 52

Innovation Data Artificial Inteligence Case Study 52

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. Data pipeline components. When do you need a data pipeline?

Data 76

Data Storage Analytics Data Center 76

Mobilunity

DECEMBER 28, 2022

Modeling is also a critical task for freelancer machine learning engineers. This involves creating models that can be used to predict outcomes or trends based on data. Some machine learning freelance engineers can also specialize in deep learning. Statistical data analytics. IoT development. ML modeling.

Machine Learning 52

Machine Learning Artificial Inteligence Engineering How To 52

Altexsoft

JUNE 26, 2023

Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. For this task, you need a dedicated specialist — a data engineer or ETL developer. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

OCTOBER 26, 2022

Today, the CIO’s focus is primarily on a company’s IT architecture and infrastructure. This can be anything from CRMs to AI-powered chatbots to IoT systems. The CDO always has his eye on the next new digital trend and decides whether it’s worth a company’s attention. Attract talent. Business acumen. Project management.

CTO 52

CTO Organization Technical Review Culture 52

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “ML” is No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Apache Hadoop.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JUNE 7, 2021

The system automatically replicates information to prevent data loss in the case of a node failure. Hadoop architecture, or how the framework works. No real-time data processing. MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Complex programming environment.

Big Data 98

Big Data Tools Data Storage 98

Altexsoft

DECEMBER 9, 2020

Often, no technologies are involved in data analysis. But decisions are mostly made based on intuition, experience, politics, market trends, or tradition. Usually, there’s no dedicated engineering expertise; instead, existing software engineers are engaged in data engineering tasks as side projects.

Analytics 102

Analytics Technical Review Technology Applications 102

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. Emerging trends 9.

Big Data 52

Big Data Analytics Data Analysis 52

Altexsoft

MARCH 14, 2023

Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. What is a modern data stack? A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture.

Data 59

Data Technical Review Software Review Artificial Inteligence 59