CIO

JANUARY 6, 2023

But 86% of technology managers also said that it’s challenging to find skilled professionals in software and applications development, technology process automation, and cloud architecture and operations. Companies will have to be more competitive than ever to land the right talent in these high-demand areas.

LAN 358

LAN Systems Administration How To WAN 358

CIO

FEBRUARY 14, 2023

A 2023 New Vantage Partners/Wavestone executive survey highlights how being data-driven is not getting any easier as many blue-chip companies still struggle to maximize ROI from their plunge into data and analytics and embrace a real data-driven culture: 19.3% report they have established a data culture 26.5%

Artificial Inteligence 283

Artificial Inteligence Strategy Data Machine Learning 283

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill.

Technical Advisors 234

Technical Advisors Artificial Inteligence Generative AI How To 234

Xebia

APRIL 5, 2022

Culture and Communication. Before we actually got to know our new colleagues, I anticipated that our differing cultures and norms might make communicating with one another more difficult than it should be. kol , Chief of Data Engineering. Here’s what they had to say. Our accents may differ – but that only goes skin deep.

Culture 130

Culture Marketing Software Data Engineering 130

InfoQ Culture Methods

SEPTEMBER 1, 2023

Factors such as model architecture, transparency and quantization of models are required to decrease carbon emission from AI systems. There’s an increasing concern about the energy use and corresponding carbon emissions of generative AI models. By Jesse McCrosky

Generative AI 110

Generative AI Energy Architecture System 110

Cloudera

FEBRUARY 15, 2023

His day-to-day consists of development activities like writing and reviewing code, working on features around release timelines, and participating in design meetings for the team supporting the CDP Data Engineering product. Amogh has the unique experience of working on CDP Data Engineering during his internship.

Software Engineering 80

Software Engineering Software Review Engineering Software 80

InfoQ Culture Methods

APRIL 7, 2020

QCon returned to London this past March for its fourteenth year in the city, attracting over 1,600 senior developers, architects, data engineers, team leads, and CTOs. This article provides a summary of the key takeaways. By Abel Avram.

Data Engineering 85

Data Engineering Engineering Data Development 85

CIO

MARCH 27, 2024

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Capgemini

MARCH 16, 2023

We then train them in important disciplines, such as manipulating and analyzing data, modeling, software engineering, and architecture. We can also build an XOps team using a collection of specialists with a strong culture of collaboration and communication. We hire staff with scientific academic backgrounds.

Pharmaceuticals 52

Pharmaceuticals Innovation Machine Learning Artificial Inteligence 52

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 116

Artificial Inteligence Generative AI Security Applications 116

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

RapidValue

JULY 21, 2019

From DevOps to DataOps DataOps can be simply stated as “DevOps for data”. It is a set of practices and technologies that integrate the development and operation of data movement architectures into a continuous process. DataOps aids data practitioners to continuously deliver quality data to applications and business processes.

Business Transformation 65

Business Transformation Enterprise DevOps Analytics 65

Altexsoft

APRIL 13, 2023

Supply chain control tower architecture: main components, integrations, and data sources As we mentioned, an SCCT is typically comprised of multiple components that handle various aspects of supply chain management. Let’s look closer at what’s there under the hood and list the main components, integrations, and data sources.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In other surveys we ran, we found “lack of skilled people,” “lack of data,” and cultural and organizational challenges as the leading obstacles cited for holding back the adoption of machine learning and AI. AI and Data technologies in the cloud. Building a Serverless Big Data Application on AWS”. Security and privacy.

Big Data 85

Big Data Technology Tools Cloud 85

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

InfoQ Culture Methods

MAY 24, 2023

GDPR compliance should be a default feature in every application that handles PII (Personally Identifiable Information). Most organizations have an impression that GDPR is a luxury feature that needs special tools to implement.

Programming 131

Programming Compliance Applications Tools 131

O'Reilly Media - Ideas

DECEMBER 6, 2018

Progress in research has been made possible by the steady improvement in: (1) data sets, (2) hardware and software tools, and (3) a culture of sharing and openness through conferences and websites like arXiv. In a recent survey , we found strong awareness and concern over these issues on the part of data scientists and data engineers.

Technology 76

Technology Artificial Inteligence Machine Learning Hardware 76

InfoQ Culture Methods

JANUARY 13, 2023

2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023. This article is a summary of the 2022 software trends podcast.

Trends 116

Trends Software Report Innovation 116

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. 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.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Architecture 81

Architecture MVC Engineering Technology 81

InfoQ Culture Methods

JANUARY 23, 2024

Generative AI will profoundly transform communication and information sharing over the next decade, but the change will be uneven across industries and roles. Organizations should empower workers to use AI augmentation thoughtfully, while building literacy on capabilities and limits.

Generative AI 61

Generative AI Industry Organization Data Engineering 61

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

Cloudera

FEBRUARY 15, 2024

Cultural shift and technology adoption: Traditional banks and insurance companies must adapt to the emergence of fintech firms and changing business models. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

Insurance 82

Insurance Compliance Technical Review Banking 82

InfoQ Culture Methods

JANUARY 19, 2022

In this podcast summary Thomas Betts, Wes Reisz, Shane Hastie, Charles Humble, Srini Penchikala, and Daniel Bryant discuss what they have seen in 2021 and speculate a little on what they hope to see in 2022. Topics explored included: hybrid working and the importance of ethics and sustainability within technology.

Technical Review 101

Technical Review Sustainability Artificial Inteligence Technology 101

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 223

Groups Security Development Data Engineering 223

O'Reilly Media - Ideas

JULY 28, 2020

Microsoft , LinkedIn , and Airbnb have been especially candid about their journeys towards building an experiment-driven culture and the technology required to support it. Nonetheless, building a superior feature pipeline or model architecture will always be worthwhile. Data Quality and Standardization. Modeling and Evaluation.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

InfoQ Culture Methods

DECEMBER 28, 2020

As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.

Continuous Delivery 102

Continuous Delivery Google Cloud Data Engineering Microservices 102

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

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.

Weak Development Team 125

Weak Development Team Data Technical Review Survey 125

Cloudera

APRIL 26, 2023

Can you achieve similar outcomes with your on-premises data platform? Application modernization initiatives have led to cloud native architectures gaining popularity on premises, making it a sensible choice to extend to your data platform. This is exactly where cloud native architectures excel, and why they are so popular.

Cloud 63

Cloud Data Load Balancer Storage 63

CIO

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics.

Technical Advisors 275

Technical Advisors Training Recruiting Programming 275

InfoQ Culture Methods

APRIL 18, 2020

At the end of 2019, InfoQ ran a survey of our readers to find out what tools, techniques, and languages they were using. This is a summary of the results. By Charles Humble.

Survey 58

Survey Tools Data Engineering Programming 58

InfoQ Culture Methods

DECEMBER 6, 2019

We take a look back at what we saw on InfoQ in 2019, and think about what the next year might bring. By Charles Humble, Erik Costlow, Arthur Casals, Daniel Bryant, Bruno Couriol, Ben Linders, Shane Hastie.

Software 52

Software Data Engineering .Net Architecture 52

InfoQ Culture Methods

DECEMBER 6, 2019

As part of the 2019 end-of-year-summary content, this article collects together a list of recommended presentation recordings from the InfoQ editorial team. By Charles Humble, Ben Linders, Arthur Casals, Manuel Pais, Erik Costlow, Shane Hastie, Shaaron A Alvares, Srini Penchikala, Michael Redlich, Steef-Jan Wiggers, Daniel Bryant.

Data Engineering 52

Data Engineering Architecture Programming System 52

Altexsoft

FEBRUARY 8, 2021

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Work on the culture. Develop business-specific analytics platform. A few more tips to consider.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Cloudera

APRIL 13, 2021

Your data scientists will want a platform and tools that give them practical access to data, compute resources, and libraries. Furthermore, operational ML works best when it’s developed and maintained by a team comprising a diverse range of skill sets—from data engineers and data scientists to even business stakeholders.

Machine Learning 97

Machine Learning Artificial Inteligence Enterprise eBook 97

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75