CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. The lakehouse will also help with fraud prevention. The new query acceleration platforms aren’t standing still.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

Kentik

MARCH 7, 2023

Tenets of network observability A detailed explanation of network observability itself is out of the scope of this article, but I want to focus on its core tenets before exploring a couple of brief case studies. Network observability, when properly implemented, enables operators to: Ingest telemetry from every part of the network.

Network 99

Network Cloud Data Case Study 99

Apiumhub

JUNE 22, 2021

The programme is refreshed with great new speakers and case studies from some of the most innovative companies around the world. Data Innovation Summit topics. The programme consists of seven stages including the Data Octagon programme, Data After Dark show, TIP session blocks, networking activities, and much more.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 130

Trends Technology Security Artificial Inteligence 130

CIO

JUNE 28, 2023

When the team presented the AI Innovation Lab initiative to the executive leadership team for approval, it showed them the five use cases with which it planned to start, along with associated potential value and costs.

Technical Review 157

Technical Review Analytics Innovation Architecture 157

O'Reilly Media - Ideas

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. AI and machine learning in the enterprise. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

O'Reilly Media - Ideas

AUGUST 26, 2019

Among the fastest-growing topics are those central to building AI applications: machine learning (up 58% from 2018), data science (up 53%), data engineering (up 58%), and AI itself (up 52%). Wholesale transformation will require cross-functional teams who are familiar with digital, data, and AI technologies.

Artificial Inteligence 55

Artificial Inteligence Organization Machine Learning Artificial Intelligence 55

Apiumhub

FEBRUARY 6, 2023

In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.

Innovation 83

Innovation Data Artificial Inteligence Machine Learning 83

Cloudera

APRIL 24, 2023

Out of the box, CDP performs superbly, but over time, if data architecture, data engineering, and DevOps best practices are not maintained, the Data City you’ve erected atop a solid CDP bedrock can become the wild, wild, west. Perhaps it’s time for some law and order to prevent further crimes against the tech.

Case Study 81

Case Study Hardware Guidelines Performance 81

CTOvision

FEBRUARY 23, 2017

You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. Nearly 200 sessions that explore the latest advances, case studies, and best practices. Data scientists. Data engineers. Product managers.

Big Data 61

Big Data Case Study Artificial Intelligence Artificial Inteligence 61

Apiumhub

APRIL 5, 2022

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.

Innovation 52

Innovation Data Case Study Artificial Inteligence 52

O'Reilly Media - Ideas

JUNE 4, 2019

Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Practical Linux Command Line for Data Engineers and Analysts , July 22.

Course 92

Course Training Artificial Inteligence Software Review 92

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

Perficient

APRIL 1, 2024

Case Study A private equity organization wants to have a close eye on equity stocks it has invested in for their clients. They want to generate trends, predictions (using ML), and analyze data based on algorithms developed by their portfolio management team in collaboration with data scientists written in Python.

Data 64

Data Azure Case Study Data Engineering 64

O'Reilly Media - Ideas

JUNE 19, 2019

Organizations now also have more use cases and case studies from which to draw inspiration—no matter what industry or domain you are interested in, chances are there are many interesting ML applications you can learn from.

Government 103

Government Artificial Inteligence Machine Learning Testing 103

Perficient

JUNE 18, 2024

In the bustling city of Tech Ville, where data flows like rivers and companies thrive on insights, there lived a dedicated data engineer named Tara. With over five years of experience under her belt, Tara had navigated the vast ocean of data engineering, constantly learning, and evolving with the ever-changing tides.

Performance 52

Performance Data Data Engineering Technical Review 52

Altexsoft

MARCH 31, 2020

These can be data science teams , data analysts, BI engineers, chief product officers , marketers, or any other specialists that rely on data in their work. The simplest illustration for a data pipeline. Data pipeline components. a data lake) doesn’t meet your needs or if you find a cheaper option.

Data 76

Data Storage Analytics Data Center 76

O'Reilly Media - Ideas

JUNE 5, 2019

Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24. Practical Linux Command Line for Data Engineers and Analysts , July 22.

Course 69

Course Training Artificial Inteligence Software Review 69

Cloudera

APRIL 21, 2022

Its evolution to the present-day cloud-based package is a real-world case study that will likely live in IT textbooks for as long as use cases will be referenced. . MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately.

Security 87

Security Data Insurance System 87

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 10

Conference Data Data Engineering Big Data 10

Agile Engine

NOVEMBER 20, 2024

Case study How AI-driven churn prediction transformed retention for a leading premium TV network Our experience in churn prediction models has made AgileEngine a trusted partner for top subscription-based businesses, including a leading premium television network enjoyed by over 28 million American households.

Company 52

Company Case Study Analytics Artificial Inteligence 52

Mobilunity

MARCH 19, 2025

Developers gather and preprocess data to build and train algorithms with libraries like Keras, TensorFlow, and PyTorch. Data engineering. Experts in the Python programming language will help you design, create, and manage data pipelines with Pandas, SQLAlchemy, and Apache Spark libraries.

Trends 40

Trends Technical Review Development Software Review 40

InfoQ Culture Methods

JUNE 19, 2024

Gen AI Assistants play to the strengths of professionals with a breadth of experience, particularly software developers who can describe what they want the LLM to complete and critically evaluate the result. These tools enable us to swiftly cross divides of domain language and scale large repetitive tasks down to interesting ones on a human scale.

Project Management 115

Project Management Generative AI Artificial Inteligence Software 115

InfoQ Culture Methods

FEBRUARY 24, 2023

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 121

Testing Engineering Software Technology 121

Netflix Tech

NOVEMBER 22, 2019

We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 15

AWS Open Source Linux Engineering Management 15

Openxcell

JANUARY 3, 2025

Overall Years of Work Experience Size of the Team Expertise in AI Development Client Testimonials and Case Studies Work Portfolio Client Success Stories Number of Services Offered 15 Best AI Development Companies in 2025 Here, we have listed the most popular AI development companies worldwide.

Artificial Inteligence 40

Artificial Inteligence Company Development Artificial Intelligence 40

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Validation of results for consistency checks.

Data 82

Data Analytics Cloud Technical Review 82

Exadel

AUGUST 26, 2020

So, to know what data is available and in what structure it is organized simplifies the overall business processes and makes it possible to see the whole picture in a clear and transparent way. For example, a company may have millions of lines of data in its database, but business leaders need a summary report for just the previous month.

Analytics 52

Analytics Data How To Artificial Inteligence 52

Apiumhub

APRIL 1, 2021

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by by EMC Education Services. The whole data analytics lifecycle is explained in detail along with case study and appealing visuals so that you can see the practical working of the entire system.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

JUNE 11, 2021

An Italian management consulting company HSPI publishes a database of process mining projects and case studies annually. In the 2020 application database , there are 551 case studies from 27 countries around the world, proving the spread of process mining adoption and growth of interest in these techniques.

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Kentik

MAY 23, 2017

With the advent of open source big data engines, the power of big data network analytics has seemed tantalizingly close. So they innovated a purpose-built big data engine for network flows and related data. Check out our Pandora case study video to learn more.

Network 40

Network Open Source Big Data Load Balancer 40

Openxcell

DECEMBER 27, 2024

In addition to AI consulting, the company has expertise in delivering a wide range of AI development services , such as Generative AI services, Custom LLM development , AI App Development, Data Engineering, RAG As A Service , GPT Integration, and more. One of IBM’s popular case studies is Vodafone.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

InfoQ Culture Methods

FEBRUARY 16, 2023

In those cases, testing takes a backseat. Have you ever wondered about systems based on machine learning? And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.

Artificial Inteligence 94

Artificial Inteligence Machine Learning System Testing 94

Mobilunity

NOVEMBER 11, 2024

LLM Engineer In Different Industries And Real Use Cases Talking about the expertise, we couldn’t but share some of Mobilunity’s valuable case studies. The goal was to launch a data-driven financial portal.

Artificial Inteligence 52

Artificial Inteligence Handbook Engineering Technical Review 52

Kentik

MAY 31, 2017

Kentik’s founders, who ran large network operations at Akamai, Netflix, YouTube, and Cloudflare, well understand the challenges faced by teams working with siloed legacy tools and fragmented data sets. To get a feel for what’s possible, check out the Pandora case study video.

Network 40

Network Tools Big Data Engineering 40

Kentik

OCTOBER 25, 2016

For more detail, read our PenTeleData case study. The big data approach that Kentik uses to deliver more accurate DDoS detection also makes possible long-term retention of raw flow records and related data. less false negatives) since implementing the built-in detection and alerting capabilities of Kentik Detect.

Scalability 40

Scalability Architecture Big Data Network 40