CIO

JANUARY 22, 2025

For example, most people now use AI to take meeting notes. According to Leon Roberge, CIO for Toshiba America Business Solutions and Toshiba Global Commerce Solutions, technology leaders should become more visible to the business and lead by example to their teams. Each company has its own way of doing business and its own data sets.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

CIO

NOVEMBER 7, 2024

For example, I was trying to understand underwriting in our Canadian operations. In that example, it was better to just go and understand what is happening locally. It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems.

Artificial Inteligence 180

Artificial Inteligence Development Generative AI Artificial Intelligence 180

Xebia

MARCH 13, 2025

Mind, data lineage and discoverability become paramount when collaborating on features. Data lineage clarifies what data sources and transformations create a certain feature. You may, for example, want to know what values it can take. This blog post will not focus on data lineage nor discoverability.

Training 130

Training Artificial Inteligence Machine Learning Data 130

O'Reilly Media - Ideas

JANUARY 14, 2025

Well no longer have to say explain it to me as if I were five years old or provide several examples of how to solve a problem step-by-step. Therefore, its not surprising that Data Engineering skills showed a solid 29% increase from 2023 to 2024. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 130

Trends Technology Security Artificial Inteligence 130

Cloudera

DECEMBER 2, 2024

Cloudera is committed to providing the most optimal architecture for data processing, advanced analytics, and AI while advancing our customers’ cloud journeys. 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

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering. Feature engineering.

Data Engineering 98

Data Engineering Engineering Data Artificial Inteligence 98

AWS Machine Learning - AI

MARCH 13, 2025

After the data is transcribed, MaestroQA uses technology they have developed in combination with AWS services such as Amazon Comprehend to run various types of analysis on the customer interaction data. For example, Can I speak to your manager? The following architecture diagram demonstrates the request flow for AskAI.

Generative AI 101

Generative AI CTO Coach AWS Artificial Inteligence 101

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.

Data Engineering 108

Data Engineering Engineering Data Systems Review 108

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 Artificial Inteligence Machine Learning 195

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

Artificial Inteligence 93

Artificial Inteligence Systems Review System Generative AI 93

AWS Machine Learning - AI

NOVEMBER 15, 2024

Generative AI models (for example, Amazon Titan) hosted on Amazon Bedrock were used for query disambiguation and semantic matching for answer lookups and responses. The following diagram illustrates the Principal generative AI chatbot architecture with AWS services.

Generative AI 112

Generative AI AWS Groups Artificial Inteligence 112

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

CIO

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Strategy 174

Strategy Technical Review Data Software Review 174

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

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

CIO

SEPTEMBER 19, 2024

The challenge is that these architectures are convoluted, requiring multiple models, advanced RAG [retrieval augmented generation] stacks, advanced data architectures, and specialized expertise.” Reinventing the wheel is indeed a bad idea when it comes to complex systems like agentic AI architectures,” he says.

CTO Coach 207

CTO Coach Artificial Inteligence Fractional CTO Open Source 207

Confluent

JUNE 18, 2019

Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough. Bulk data import is a valuable mode for bootstrapping your system, for example.

Scalability 97

Scalability Architecture Machine Learning Artificial Inteligence 97

O'Reilly Media - Data

APRIL 3, 2018

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. Here are some examples: Data Case Studies (12 presentations). Privacy and security. Findata Day and Financial Services sessions.

Machine Learning 235

Machine Learning Artificial Inteligence Company Case Study 235

Cloudera

JANUARY 12, 2018

I mentioned in an earlier blog titled, “Staffing your big data team, ” that data engineers are critical to a successful data journey. That said, most companies that are early in their journey lack a dedicated engineering group. Image 1: Data Engineering Skillsets.

Data Engineering 54

Data Engineering Big Data Engineering Data 54

AWS Machine Learning - AI

NOVEMBER 20, 2024

This custom knowledge base that connects these diverse data sources enables Amazon Q to seamlessly respond to a wide range of sales-related questions using the chat interface. The following diagram illustrates the solution architecture. For example, q-aurora-mysql-source. Choose Create database. Choose Create application.

Data 106

Data AWS Groups Knowledge Base 106

CIO

AUGUST 5, 2022

Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization. What are some data visualization examples?

Data 214

Data Analytics Travel Business Intelligence 214

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. . Modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Perficient

FEBRUARY 13, 2023

Introduction: We often end up creating a problem while working on data. So, here are few best practices for data engineering using snowflake: 1.Transform Using COPY and SNOWPIPE is the fastest and cheapest way to load data. In fact, this is another example of using the right tools.

Data Engineering 69

Data Engineering Engineering Data Storage 69

CIO

JUNE 19, 2024

They may also ensure consistency in terms of processes, architecture, security, and technical governance. Our platform engineering teams, which support more than 200 applications, have innovated around automation,” says Bob Simms, former director of enterprise infrastructure delivery at the US Patent and Trademark Office (USPTO).

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. These are just examples — I could go on all day. As an example, I encourage all business people to learn SQL so they can run queries themselves.

Software Engineering 325

Software Engineering Engineering Tools Software 325

CIO

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Data 147

Data Architecture Government Strategy 147

TechCrunch

MAY 18, 2022

Heartex has an office in San Francisco, California, but several of the company’s engineers are based in the former Soviet Republic of Georgia. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

CIO

APRIL 4, 2023

Despite these AI-powered examples, businesses have only just begun to embrace AI, with an estimated 12% fully using AI technology. For example, today airports can use AI to keep passengers and employees safer. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Architecture 78

Architecture Data Analysis Construction 78

CIO

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Artificial Inteligence 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

Altexsoft

OCTOBER 24, 2019

We will define how enterprise warehouses are different from the usual ones, what types of data warehouses exist, and how they work. The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. What is an Enterprise Data Warehouse?

Architecture 50

Architecture Enterprise Data Technical Review 50

AWS Machine Learning - AI

APRIL 1, 2025

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. Outside of work, Hao enjoys international traveling, exercising, and streaming.

AWS 82

AWS Software Review Technical Review Generative AI 82

CIO

AUGUST 7, 2023

Examples include GitHub Copilot, an off-the-shelf solution to generate code, or Adobe Firefly, which assists designers with image generation and editing. This archetype is the simplest, both in terms of engineering and infrastructure needs, and is generally the fastest to get up and running.

Generative AI 147

Generative AI Off-The-Shelf Architecture Infrastructure 147

Netflix Tech

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 52

Data Engineering Engineering Data Culture 52

Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

CIO

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Organization 167

Organization Technical Review Data Artificial Inteligence 167

Xebia

FEBRUARY 3, 2023

You start out really small, perhaps a Proof of Concept, a small app or data engineering pipeline. So it is a pytest plugin that helps you define (architectural) rules (archon means ruler, but it also sounds a bit like the arch in architecture ) for your application. Hence, minimal effort is put into architecture.

How To 130

How To Architecture Data Engineering Applications 130

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry.

Data Engineering 52

Data Engineering Fintech Engineering Data 52