Altexsoft

AUGUST 25, 2021

Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Such dialog systems are the hardest to pull off and are considered an unsolved problem in NLP. Low-level vs high-level NLP tasks. Text classification. Language detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

Capgemini

NOVEMBER 14, 2022

Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. But for smart organizations that have sorted out data access and sharing requirements, self-service BI drives data literacy. A data catalog for trust. First, though, users need to find the data.

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

OCTOBER 29, 2020

When data is subjective and accurate, it gives us a better understanding than we can fathom with our human brains. Because as any system, data processing is subject to mistakes. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

JUNE 11, 2021

In this article, we’ll explain what process mining is, how it can benefit businesses across different industries, and how you can implement it to optimize the workflows of your company. The activity or interaction with the system takes place, creating a digital record. Review your current IT landscape.

Applications 69

Applications Weak Development Team Systems Review Software Review 69

Altexsoft

APRIL 13, 2023

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. The ultimate goal of an SCCT is to support efficient, data-based decision-making, planning, and risk management, as well as quick and effective reactions to disruption.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Hu's Place - HitachiVantara

SEPTEMBER 26, 2018

Malcolm’s books and articles often provide unexpected insights which helps us understand the events around us and enable us to make better decisions. The music industry was panicked over the loss of revenue, but today the music industry is making more money than ever due to live performances which are promoted by their music.

Software Review 60

Software Review Systems Review Technical Review Big Data 60

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. The time IT spends on maintaining the data is greatly reduced.

Data 98

Data Technical Review Storage Systems Review 98

Altexsoft

DECEMBER 7, 2021

In this article, we’ll explore what stands behind those ETA, ETD, and ETC acronyms and what can help you take the guesswork out of your time estimations. Note, that in our overview, we’ll focus on ETA calculations as the most crucial and prone to change due to the influence of external factors. What are ETA, ETD, and ETC? They include.

Artificial Inteligence 52

Artificial Inteligence How To Software Review Systems Review 52

Altexsoft

AUGUST 25, 2020

That’s why a data specialist with big data skills is one of the most sought-after IT candidates. Data Engineering positions have grown by half and they typically require big data skills. Data engineering vs big data engineering. Big data processing. maintaining data pipeline.

Big Data 75

Big Data Data Engineering Engineering Data 75

Xebia

JULY 19, 2023

Artificial Intelligence (AI) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). As we depend more on these systems, testing should be a top priority during deployment. This article explains where to start and what is required to avoid overdosing on chamomile to sleep at night.

Artificial Inteligence 130

Artificial Inteligence Systems Review Testing System 130

Existek

SEPTEMBER 28, 2023

In this article, we’ve focused on the AI developer job and some efficient approaches to engage with the best specialists on the market. Responsibilities of AI engineers Requirements to hire AI developers Where to find AI developers? In simple words, AI specialists are professionals involved in developing AI applications and systems.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Altexsoft

JULY 23, 2020

This article. It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. Data validation. Data preparation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

Altexsoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Who needs a data lake?

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

O'Reilly Media - Ideas

NOVEMBER 13, 2018

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin by looking at the state of adoption.

Artificial Inteligence 90

Artificial Inteligence Machine Learning Software Review Conference 90

Existek

JANUARY 11, 2022

Read the article. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. .

Azure 52

Azure AWS Cloud How To 52

Altexsoft

JUNE 6, 2019

For this article, we discussed current and potential applications of AI in retail, as well as the state of the industry in general, including factors that drive adoption of cognitive technologies. However, the cashierless store concept has been under pressure in the US due to a backlash against cashless systems. percent of U.S.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Hacker Earth Developers Blog

NOVEMBER 29, 2022

In this article, we’ll help you understand how artificial intelligence is used in technical recruitment. According to Techopedia, artificial intelligence is the field of study in which computerized systems can learn, solve problems and autonomously achieve goals under varying conditions. What is artificial intelligence?

Technical Review 130

Technical Review Software Review Artificial Intelligence Artificial Inteligence 130

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?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Data Systems Review 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Kubernetes’ parent topic, container orchestrators, also posted strong usage growth: 151% in 2018, 36% this year—almost all due to interest in Kubernetes itself. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. In aggregate, data engineering usage declined 8% in 2019.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. The market is constantly changing due to a myriad of factors. Contract management to review and audit agreements. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Supply chain management process. defect rate), customer service (i.e.,

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Altexsoft

MARCH 16, 2021

But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? 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. Big Data infrastructure in healthcare.

Big Data 116

Big Data Healthcare Applications Data 116

Altexsoft

FEBRUARY 22, 2022

And breakdowns are just too expensive, especially at a fleet-wide scale (not to mention risking drivers’ lives, losses due to unfulfilled contracts and related downtime, and customer dissatisfaction). You can adopt a comprehensive fleet management system that has vehicle maintenance as one of its modules. So, what’s the alternative?

Software Review 52

Software Review Technical Review Software Technology 52

Kentik

MAY 31, 2023

In this article, I want to underscore why NetOps has an integral role (and more responsibility) in delivering on the promise of reliability and highlight a few examples of how engineering for reliability can make networks less reliable. I wrote an article a while ago addressing latency.

Network 52

Network Cloud Load Balancer Firewall 52

O'Reilly Media - Ideas

JANUARY 25, 2024

And the real question that will change our industry is “How do we design systems in which generative AI and humans collaborate effectively?” Domain-driven design is particularly useful for understanding the behavior of complex enterprise systems; it’s down, but only 2.0%. So the software development world is changing.

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights. Data ingestion.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. ELT vs ETL. Order of process phases.

Tools 52

Tools Software Review Systems Review Testing 52

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Netflix Tech

FEBRUARY 9, 2022

see “data pipeline” Intro The problem of managing scheduled workflows and their assets is as old as the use of cron daemon in early Unix operating systems. The design of a cron job is simple, you take some system command, you pick the schedule to run it on and you are done. Manually constructed continuous delivery system.

Data 80

Data Testing Software Review Systems Review 80

Netflix Tech

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Data 143

Data Technical Review Software Review Testing 143

Abhishek Tiwari

JULY 7, 2023

They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights. However, as with any technology trend, data pipelines have not been immune to misuse and overuse.

Data 52

Data Transportation Scalability Systems Review 52

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

Altexsoft

NOVEMBER 5, 2021

Here, HIM is short for health information management, the discipline too broad to be covered in one article. So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Main coding systems in healthcare.

Technical Review 59

Technical Review Technology Software Review Healthcare 59