O'Reilly Media - Ideas

JULY 15, 2020

So we did what we usually do: we ran a survey. The survey ran from January 31, 2020 through February 29; we had 1502 respondents from the readers of our mailing lists. Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). What are they using them for?

Microservices 140

Microservices Weak Development Team Survey Architecture 140

O'Reilly Media - Ideas

FEBRUARY 11, 2019

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Machine learning and AI require data—specifically, labeled data for training models.

Big Data 86

Big Data Technology Tools Cloud 86

Altexsoft

DECEMBER 9, 2020

Some other common methods of gathering data include observation, case studies, surveys, etc. Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software.

Analytics 102

Analytics Technical Review Technology Applications 102

O'Reilly Media - Ideas

MARCH 19, 2020

Aggregating artificial intelligence and machine learning topics accounts for nearly 5% of all usage activity on the platform, a touch less than, and growing 50% faster than, the well-established “data science” topic (see Figure 2). The results of our recent AI adoption survey underscore this trend. disproportionately involve Python.

Artificial Inteligence 114

Artificial Inteligence Trends Artificial Intelligence Machine Learning 114

O'Reilly Media - Ideas

DECEMBER 6, 2018

To assess the state of adoption of machine learning (ML) and AI, we recently conducted a survey that garnered more than 11,000 respondents. In many instances, “lack of data” is literally the state of affairs: companies have yet to collect and store the data needed to train the ML models they desire.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

O'Reilly Media - Ideas

JULY 1, 2019

In a survey we released earlier this year, we found that more than 60% of respondents worked in organizations that planned to invest some of their IT budgets into AI. One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development.

Software Development 61

Software Development Artificial Inteligence Software Machine Learning 61

Datavail

SEPTEMBER 8, 2022

The sources in your data integration pipeline may include a wide variety of files, databases, websites, and applications—both internal and external. According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes.

Data 40

Data Nonprofit Quality Assurance Education 40

O'Reilly Media - Ideas

APRIL 2, 2019

Machine learning is in the process of democratization; tools that make it possible for software developers to build and train models are essential to this process. And those models will age and need to be re-trained periodically. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Machine Learning 85

Machine Learning Artificial Inteligence Government Tools 85

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. Let’s look at what they say in recent surveys. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources. Data siloes.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

DECEMBER 14, 2022

During shipment, goods are carried using different types of transport: trucks, cranes, forklifts, trains, ships, etc. As a result, all transport machinery from forklifts and cranes to trucks, trains, and ships can handle these containers. Docker architecture core components. Docker Architecture. billion pulls per month.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

O'Reilly Media - Ideas

JUNE 19, 2019

Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models.

Government 80

Government Artificial Inteligence Machine Learning Testing 80

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception.

Trends 134

Trends Technical Review Technology Software Review 134

Existek

SEPTEMBER 28, 2023

Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc. Training and optimization: They use data to build and train AI models.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

CIO

APRIL 24, 2023

Merola was accepted into the HartCode Academy’s inaugural class, spending months in bootcamps and self-directed training before landing a position as a junior coder. You used to be able to buy people or rely on the education system to pull people through so there was a ready supply of trained technical people.

Technical Advisors 278

Technical Advisors Training Recruiting Programming 278

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. Source: Python Developers Survey 2020 Results. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems. 2021 Stackoverflow survey of the most popular technologies.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Hu's Place - HitachiVantara

JANUARY 3, 2019

In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources. 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

Coforge

AUGUST 31, 2020

A deep understanding of the legacy and potentially viable digital systems is crucial to establish a sustainable architecture to work upon. Adoption, training, and seamless integration should be ensured before scaling up digital operations.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? So while we can discuss whether Answers usage is in line with other services, it’s difficult to talk about trends with so little data, and it’s impossible to do a year-over-year comparison. This report is about those transitions.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

O'Reilly Media - Ideas

JULY 28, 2020

As Jez Humble said in a Velocity Conference training session, “Metrics should be painful: metrics should be able to make you change what you’re doing.” Qualitative experiments, including research surveys and sociological studies, can be very useful here. For example, many companies use recommendation engines to boost sales.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

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

OCTOBER 3, 2019

In January 2018, The US Bureau of Labor Statistics conducted an employee tenure survey. It entails collecting data from internal and external sources, preprocessing, storing, analyzing it to get insights about people oh whose competence and commitment an organization performance depends. Training systems. Gather a team.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Altexsoft

NOVEMBER 9, 2021

A trained ML model can find and highlight inconsistencies and ambiguities or flag missing elements such as currency fluctuation clauses. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. Watch our cool explainer about how to manage data and get business value. Extract data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

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 Machine Learning 52

CIO

NOVEMBER 7, 2023

Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data 354

Data Artificial Inteligence Architecture Analytics 354

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

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