CIO

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

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

CIO

DECEMBER 12, 2024

Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds.

Data 201

Data Survey Artificial Inteligence Education 201

CIO

SEPTEMBER 12, 2022

Data engine on wheels’. To mine more data out of a dated infrastructure, Fazal first had to modernize NJ Transit’s stack from the ground up to be geared for business benefit. Today, NJ Transit is a “data engine on wheels,” says the CIDO. As a result, NJ Transit’s data maturity as an organization has grown.

Data Engineering 174

Data Engineering Engineering Data Transportation 174

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDP data lifecycle integration and SDX security and governance. Easy job deployment.

Data Engineering 127

Data Engineering Azure Engineering Enterprise 127

CIO

APRIL 23, 2025

The raw data can be streamed using a variety of methods, either batch or streaming (using a message broker such as Kafka). Next, clean and organize the raw data. This step transforms it into a consistent format, making sure the data is reliable and ready for analysis. Silver layer: Clean and standardize.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects.

Architecture 183

Architecture Data Fractional CTO Technical Review 183

CIO

APRIL 30, 2025

The complexity could be customer distress, a storm, an airport slowdown, or any other situation with a lot of data and urgency to empower employees and customers with relevant, in-the-moment information. Much of this work has been in organizing our data and building a secure platform for machine learning and other AI modeling.

Airlines 124

Airlines Strategy ChatGPT Software Review 124

CIO

DECEMBER 19, 2024

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. The challenge is that each function within an organization might identify five or six use cases. Organizations are finding they have outdated data or incomplete data sets.

Artificial Inteligence 146

Artificial Inteligence Research Artificial Intelligence Enterprise 146

TechCrunch

NOVEMBER 18, 2021

The MLOps space is in its early days today, but it has massive potential because it allows organizations to bring AI to production environments in a fraction of the time it takes today. Data engineers play with tools like ETL/ELT, data warehouses and data lakes, and are well versed in handling static and streaming data sets.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

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

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. The post Cloudera Data Engineering 2021 Year End Review appeared first on Cloudera Blog.

Data Engineering 118

Data Engineering Technical Review Software Review Engineering 118

CIO

MARCH 13, 2025

Providing opportunities for AI engagement We dont just want to control AI we want to help our organization use it effectively. By fostering a culture of innovation, embracing emerging technologies like AI, and assembling a forward-thinking team, your organization will be well-positioned to lead, adapt and thrive.

Company 186

Company Generative AI Insurance Education 186

Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The situation becomes even more complicated with decentralized teams.

Data 130

Data Storage Culture Resources 130

Xebia

DECEMBER 23, 2024

Modern Pay-As-You-Go Data Platforms: Easy to Start, Challenging to Control It’s Easier Than Ever to Start Getting Insights into Your Data The rapid evolution of data platforms has revolutionized the way businesses interact with their data. The situation becomes even more complicated with decentralized teams.

Data 130

Data Storage Culture Resources 130

O'Reilly Media - Data

SEPTEMBER 24, 2018

Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. The organizations don’t realize that data science stands on the shoulders of DataOps and data engineering giants. Let's call these operational teams that focus on big data: DataOps teams.

Enterprise 259

Enterprise Data Big Data Data Engineering 259

CIO

JANUARY 22, 2024

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.

Generative AI 147

Generative AI Healthcare Fractional CTO Artificial Inteligence 147

CIO

NOVEMBER 27, 2024

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. And while most executives generally trust their data, they also say less than two thirds of it is usable. Not cleaning your data enough causes obvious problems, but context is key. “But

Data 211

Data Enterprise Weak Development Team Software Review 211

CIO

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

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

CIO

DECEMBER 4, 2024

Organizations like Pariveda and Neudesic understand the importance of encouraging continuous learning. The new team needs data engineers and scientists, and will look outside the company to hire them. Some do this by starting with the youngest employees.

Recruiting 202

Recruiting Artificial Inteligence Programming Technology 202

The Crazy Programmer

NOVEMBER 6, 2021

Because startups like Zerodha, Ola, and Rupay to large organizations like Infosys, HCL Technologies Ltd, all will grow at a mass scale. Data Scientist. Data scientist is the most demanding profession in the IT industry. 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

NOVEMBER 7, 2024

After the show, we spent some more time focusing on the work Caldas and her organization are doing to build a digital-savvy workforce and further differentiate Liberty Mutual on the global and local levels. As a technology organization supporting a global insurance company, job No. 1 is enabling secure, stable systems.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

Cloudera

DECEMBER 2, 2024

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. 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

JANUARY 22, 2025

Nearly all tech surprises last year were related to gen AI, which was so hyped in 2023 that every organization had to try it in one or more projects in 2024. The trouble is, when people in the business do their own thing, IT loses control, and protecting against loss of data and intellectual property becomes an even bigger concern.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

CIO

FEBRUARY 25, 2025

One of the best ways to keep the bigger picture in focus is to sit down with people across your organization and ask questions: Where do your customers struggle? We brought together representatives from across the organization to agree on a common taxonomy for our data and capabilities. It wasnt easy.

Data 136

Data Innovation Insurance Culture 136

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

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

TechCrunch

MARCH 7, 2023

A data scientist entering a new organization with the goal of automating and improving the business will usually try to manually collect enough data to first prove there is value in creating AI. Once a successful proof of concept is made, the team often hits a wall regarding its data management.

Weak Development Team 246

Weak Development Team Case Study Data Engineering ChatGPT 246

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. The New York-based startup announced today that it has raised $7.6

Operating System 233

Operating System Technical Review Analytics Systems Review 233

CIO

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

Data 199

Data Data Engineering Database Administration Artificial Inteligence 199

TechCrunch

APRIL 25, 2022

In thinking about features, it can be helpful to visualize a table, where the data used by AI systems is organized into rows of examples (data from which the system learns to make predictions) and columns of attributes (data describing those examples). They serve as the interface between data and [AI] models.”

Artificial Inteligence 225

Artificial Inteligence Machine Learning Data Engineering Enterprise 225

CIO

FEBRUARY 26, 2024

Organizations must educate staff on how to incorporate genAI into their daily workflows. Education starts with prompt engineering, the art and science of framing prompts that steer Large Language Models (LLMs) towards desired outputs. Data engineers Data engineers can supercharge their careers by becoming conversant in genAI systems.

Generative AI 167

Generative AI Artificial Inteligence Company Data Engineering 167

CIO

APRIL 1, 2025

Job titles like data engineer, machine learning engineer, and AI product manager have supplanted traditional software developers near the top of the heap as companies rush to adopt AI and cybersecurity professionals remain in high demand.

Marketing 152

Marketing Software Development Software Development 152

CIO

JUNE 7, 2022

And in a mature ML environment, ML engineers also need to experiment with serving tools that can help find the best performing model in production with minimal trials, he says. Data engineer. Data engineers build and maintain the systems that make up an organization’s data infrastructure.

Artificial Inteligence 218

Artificial Inteligence Technical Review Fractional CTO Data Engineering 218

TechCrunch

JUNE 2, 2021

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack. After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013.

Artificial Inteligence 249

Artificial Inteligence Machine Learning Open Source Data Engineering 249