CIO

NOVEMBER 7, 2024

It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems. We explore the essence of data and the intricacies of data engineering. Fast-forward to today, about 18 months into our journey, and we’re at phase three.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

Xebia

JANUARY 19, 2023

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

TechCrunch

OCTOBER 11, 2022

It certainly makes some bold claims, saying, “Quantori’s data engineering and data science platform for drug discovery and development aims to build a new data integration and high-performance computational environment for global and early-stage biopharma companies.

Development 248

Development Pharmaceuticals Data Engineering Engineering 248

CIO

MARCH 20, 2025

In just two weeks since the launch of Business Data Cloud, a pipeline of $650 million has been formed, Klein said. We decided to collaborate after seeing that over 1,000 customers have already contacted us about utilizing the two companies data platforms together. This is an unprecedented level of customer interest.

Data 162

Data Artificial Inteligence Data Center Cloud 162

CIO

MARCH 13, 2025

We developed clear governance policies that outlined: How we define AI and generative AI in our business Principles for responsible AI use A structured governance process Compliance standards across different regions (because AI regulations vary significantly between Europe and U.S.

Company 186

Company Generative AI Insurance Education 186

CIO

FEBRUARY 19, 2025

According to experts and other survey findings, in addition to sales and marketing, other top use cases include productivity, software development, and customer service. Use case 2: software development PGIM also uses gen AI for code generation, specifically using Github Copilot.

Google Cloud 206

Google Cloud Survey CTO Coach Software Development 206

TechCrunch

OCTOBER 7, 2021

“Most of the technical content published misses the mark with developers. I think we can all do a better job,” author and developer marketing expert Adam DuVander says. DuVander was recommended to us by Karl Hughes, the CEO of Draft.dev, which specializes in content production for developer-focused companies.

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

TechCrunch

NOVEMBER 18, 2021

There are three core roles involved in ML modeling, but each one has different motivations and incentives: Data engineers: Trained engineers excel at gleaning data from multiple sources, cleaning it and storing it in the right formats so that analysis can be performed. The proliferation of ML tools.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

NOVEMBER 27, 2024

The team should be structured similarly to traditional IT or data engineering teams. As a result, ​developers — regardless of their expertise in machine learning — will be able to develop and optimize business-ready large language models (LLMs).

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

TechCrunch

OCTOBER 19, 2021

Mage , developing an artificial intelligence tool for product developers to build and integrate AI into apps, brought in $6.3 While collaborating with product developers, Dang and Wang saw that while product developers wanted to use AI, they didn’t have the right tools in which to do it without relying on data scientists.

Artificial Inteligence 248

Artificial Inteligence Machine Learning Tools Technical Review 248

Xebia

OCTOBER 18, 2024

Unity Catalog Authentication : At the time of initial development we used Unity Catalog 0.1.0. In the meantime, we’ve developed a workaround to help you write to Unity Catalog, so you can keep moving forward even before native support arrives. Dbt is a popular tool for transforming data in a data warehouse or data lake.

Open Source 162

Open Source AWS Government Technical Review 162

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. This way users focus on data curation and less on the pipeline gluing logic. Autoscaling speed and scale.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

TechCrunch

MAY 3, 2022

After all, AI is costly — Gartner predicted in 2021 that a third of tech providers would invest $1 million or more in AI by 2023 — and debugging an algorithm gone wrong threatens to inflate the development budget. ” Chatterji has a background in data science, having worked at Google for three years at Google AI.

Artificial Inteligence 223

Artificial Inteligence Machine Learning Development Software Review 223

Xebia

FEBRUARY 28, 2025

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. These days Data Science is not anymore a new domain by any means. Expectation : It is often expected that development- and operations teams magically work well together. What a waste!

Technical Review 182

Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

CIO

DECEMBER 12, 2024

While there seems to be a disconnect between business leader expectations and IT practitioner experiences, the hype around generative AI may finally give CIOs and other IT leaders the resources they need to address longstanding data problems, says TerrenPeterson, vice president of data engineering at Capital One.

Data 201

Data Survey Artificial Inteligence Education 201

CIO

DECEMBER 19, 2024

As the chief research officer at IDC, I lead a global team of analysts who develop research and provide advice to help our clients navigate the technology landscape. Fast forward to 2024, and our data shows that organizations have conducted an average of 37 proofs of concept, but only about five have moved into production.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

O'Reilly Media - Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. Data science is the sexy thing companies want. They're right.

Enterprise 253

Enterprise Data Big Data Data Engineering 253

CIO

JANUARY 3, 2025

A significant share of organizations say to effectively develop and implement AIOps, they need additional skills, including: 45% AI development 44% security management 42% data engineering 42% AI model training 41% data science AI and data science skills are extremely valuable today.

Organization 158

Organization Artificial Intelligence Artificial Inteligence DevOps 158

Netflix Tech

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 82

Data Engineering Engineering Data Generative AI 82

The Crazy Programmer

NOVEMBER 6, 2021

And they are also responsible for coordinating with the various teams to ensure the development tasks happen accurately. A software architect is a professional in the IT sector who works closely with a development task. Big Data Engineer. Another highest-paying job skill in the IT sector is big data engineering.

Artificial Inteligence 290

Artificial Inteligence Blockchain Software Review Artificial Intelligence 290

CIO

DECEMBER 10, 2024

to GPT-o1, the list keeps growing, along with a legion of new tools and platforms used for developing and customizing these models for specific use cases. Our LLM was built on EXLs 25 years of experience in the insurance industry and was trained on more than a decade of proprietary claims-related data. From Llama3.1

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

MARCH 12, 2024

Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.

Software Development 197

Software Development Software Review Weak Development Team Software 197

CIO

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Artificial Inteligence 174

Artificial Inteligence Engineering Data Storage 174

CIO

JULY 29, 2022

That focus includes not only the firm’s customer-facing strategies but also its commitment to investing in the development of its employees, a strategy that is paying off, as evidenced by Capital Group’s No. The TREx program gave me the space to learn, develop, and customize an experience for my career development,” she says. “I

Groups 147

Groups Security Development Programming 147

CIO

DECEMBER 20, 2024

The data column of the Zachman Framework comprises multiple layers, including architectural standards important to the business, a semantic model or conceptual/enterprise data model, an enterprise/logical data model, a physical data model, and actual databases. The Open Group Architecture Framework.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We will talk about this shortly.

Data Engineering 108

Data Engineering Engineering Data Systems Review 108

Xebia

APRIL 9, 2025

For example, events such as Twitters rebranding to X, and PySparks rise in the data engineering realm over Spark have all contributed to this decline. While the language remains expressive and powerful, these refinements aim to make Scala more accessible and manageable for developers.

Systems Review 130

Systems Review Programming Technical Review Engineering 130

Xebia

MARCH 2, 2025

Deployment isolation: Handling multiple users and environments During the development of a new data pipeline, it is common to make tests to check if all dependencies are working correctly. Managing deployment across multiple environments can be tedious, especially when multiple users use the same workspace for development.

Resources 130

Resources Testing Metrics Data Engineering 130

CIO

APRIL 2, 2025

Whether in process automation, data analysis or the development of new services AI holds enormous potential. AI consultants are therefore required to develop solutions that are not only technically optimal but also ethically justifiable. Strategy development and consulting. This is where AI consultants come into play.

Artificial Inteligence 107

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 107

CIO

DECEMBER 4, 2024

Be more proactive developing talent from within IT consultancy Pariveda, with around 700 employees, has always strove to grow the newest skills in-house. And since the latest hot topic is gen AI, employees are told that as long as they don’t use proprietary information or customer code, they should explore new tools to help develop software.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

Dzone - DevOps

DECEMBER 31, 2024

MLOps, or Machine Learning Operations, is a set of practices that combine machine learning (ML), data engineering, and DevOps to streamline and automate the end-to-end ML model lifecycle. MLOps is an essential aspect of the current data science workflows.

Machine Learning 96

Machine Learning Artificial Inteligence Scalability Data Engineering 96

Cloudera

DECEMBER 2, 2024

Companies adopting AI now face a new obstacle to innovation: they must support AI development while meeting corporate goals for sustainability. Today, Cloudera Data Engineering, a data service that streamlines and scales data pipeline development, is available with support for AWS Graviton processors.

Sustainability 89

Sustainability AWS Analytics Infrastructure 89

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 195

Analytics Data Engineering Machine Learning Artificial Inteligence 195

CIO

OCTOBER 13, 2023

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

TechCrunch

APRIL 25, 2022

“Feature stores sit at the intersection of data and machine learning,” Michael Del Balso, the CEO of Tecton.ai , a startup developing feature store software for businesses, told TechCrunch in an email. They serve as the interface between data and [AI] models.” ” Image Credits: Tecton.ai.

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

TechCrunch

OCTOBER 13, 2022

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. It also plans to build out its marketplace, where users and developers can exchange apps they create using Redbird.

Operating System 233

Operating System Technical Review Analytics Systems Review 233