CIO

DECEMBER 10, 2024

As a data-driven company, InnoGames GmbH has been exploring the opportunities (but also the legal and ethical issues) that the technology brings with it for some time. The open-source database StarRocks, which is already integrated into InnoGames data infrastructure and has an interface to LangChain, is used for this purpose.

Games 147

Games Artificial Inteligence Company Artificial Intelligence 147

O'Reilly Media - Ideas

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. So, why is this new open source project resonating with data scientists and machine learning engineers?

Machine Learning 108

Machine Learning Artificial Inteligence Government Tools 108

O'Reilly Media - Ideas

NOVEMBER 13, 2018

Given the growing interest in data privacy among users and regulators, there is a lot of interest in tools that will enable you to build ML models while protecting data privacy. Just the other day, I searched Google for recent news stories about AI, and I was surprised by the number of articles that touch on fairness.

Machine Learning 111

Machine Learning Artificial Inteligence Software Review Conference 111

Confluent

FEBRUARY 28, 2019

For details on the format and internals, please see our previous article or the documentation for the Neo4j sink. We are also working with several collaborators on a few article series on how to use our Kafka integration in practice. You control ingestion by defining Cypher statements per topic that you want to ingest. Stay tuned.

Open Source 88

Open Source Testing Data System 88

Tenable

JANUARY 11, 2022

Please note that Microsoft included patches for two CVEs in open source libraries. Open Source Software. Windows Task Flow Data Engine. Windows Tile Data Repository. Main Article Image. This month’s update includes patches for: NET Framework. Microsoft Dynamics. Microsoft Edge (Chromium-based).

Windows 107

Windows Internet Open Source Storage 107

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

Data 88

Data Analytics Machine Learning Artificial Inteligence 88

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Altexsoft

APRIL 16, 2021

However, when it comes to analyzing large volumes of data from different angles, the logic of OLTP has serious limitations. So, we need a solution that’s capable of representing data from multiple dimensions. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology. Building a cube.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

The Citus Data

MARCH 31, 2023

Americas livestream, Citus open source user, real-time analytics, JSONB) Lessons learned: Migrating from AWS-Hosted PostgreSQL RDS to Self-Hosted Citus , by Matt Klein & Delaney Mackenzie of Jellyfish.co. (on-demand Checkpoint and WAL configs , by Samay Sharma on the Postgres open source team at Microsoft.

Azure 84

Azure Open Source Virtualization Software Engineering 84

O'Reilly Media - Data

MARCH 22, 2018

At DataScience.com , where I’m a lead data scientist, we feel passionately about the ability of practitioners to use models to ensure safety, non-discrimination, and transparency. In this article, we will focus on model interpretation in regard to supervised learning problems. References and further reading: Zachary C. Lipton, 2016.

Off-The-Shelf 177

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 177

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Data visualization as a part of data representation and analytics.

Analytics 20

Analytics Data IoT Analysis 20

O'Reilly Media - Ideas

MARCH 1, 2022

All datasets have world views ” is an excellent interactive article showing how bias, labeling, and data go hand in hand. It is not open source, and is now entering private beta. Seven years ago, Dan McKinley wrote the classic article Choose Boring Technology : chasing the latest cool framework is a path to exhaustion.

Trends 117

Trends Blockchain Serverless Malware 117

Apiumhub

SEPTEMBER 20, 2023

In this article, we´ll be your guide to the must-attend tech conferences set to unfold in October. This year’s highlights encompass aspects such as enhancing the developer experience, the latest API security patterns, the shift from REST to GraphQL, business models centered around APIs and pertinent open-source resources.

Conference 98

Conference Artificial Inteligence UI/UX Machine Learning 98

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Foundational data technologies. Machine learning and AI require data—specifically, labeled data for training models. We found companies run a mix of open source technologies and managed services, and many respondents indicated they used more than one cloud provider. Text and Language processing and analysis.

Big Data 108

Big Data Technology Tools Cloud 108

Github

OCTOBER 23, 2019

Continuous integration allows us to always publish the latest articles in Portuguese or any other GitHub-supported language. You may notice that some sentences within a translated article are in English. Our help site runs on a continuous integration system with Crowdin , a localization tool and one of our GitHub Marketplace partners.

Machine Learning 15

Machine Learning Artificial Inteligence Continuous Integration Open Source 15

Cloudera

MAY 18, 2021

Finally, IaaS deployments required substantial manual effort for configuration and ongoing management that, in a way, accentuated the complexities that clients faced deploying legacy Hadoop implementations in the data center. Quantifiable improvements to Apache open source projects. Flow Management. Not available.

Cloud 86

Cloud Technical Review Storage Backup 86

Apiumhub

APRIL 8, 2021

As the director of Advertisement, he works to help data-driven businesses be more successful. He also writes compelling articles about Big Data and related topics for publications such as Data Science Central, DataFloq and Dataconomy. He regularly publishes articles on Big Data and Analytics on Forbes.

Artificial Inteligence 110

Artificial Inteligence Technical Advisors Data Machine Learning 110

John Snow Labs

NOVEMBER 4, 2024

It includes over 2,400 pre-trained models and pipelines for tasks like clinical information extraction, named entity recognition (NER), and text analysis from unstructured sources such as electronic health records and clinical notes. These models help healthcare organizations comply with data privacy regulations like HIPAA.

Healthcare 40

Healthcare Artificial Inteligence Software Review Generative AI 40

Altexsoft

AUGUST 25, 2021

Open-source toolkits. In this article, we want to give an overview of popular open-source toolkits for people who want to go hands-on with NLP. Comparing popular open-source NLP tools. Even MLaaS tools created to bring AI closer to the end user are employed in companies that have data science teams.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

UruIT

JULY 23, 2019

MathWork focused on the development of these tools in order to become experts on high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has allowed it to build a strong user base and customer relations. What do you think?

Artificial Inteligence 81

Artificial Inteligence Machine Learning Azure Software Review 81

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 94

System Artificial Inteligence Machine Learning Open Source 94

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. Plus the name sounded cool for an open-source project.”.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Apiumhub

NOVEMBER 20, 2023

With 16 years of professional experience in software engineering, including roles as CTO and CEO, he has become a prominent speaker at Green Software events in Germany. His primary responsibility is to integrate sustainability into the engineering roadmap and utilize the company’s portfolio to champion sustainability solutions.

Fractional CTO 83

Fractional CTO Software CTO Sustainability 83

UruIT

APRIL 27, 2020

MathWork focused on the development of these tools to become experts in high-end financial use and data engineering contexts. Also, its solid presence in data science and machine learning software marketplace has built a strong user base. . H20.ai Following its vision of democratizing intelligence for all, H20.ai

Artificial Inteligence 78

Artificial Inteligence Machine Learning Azure Software Review 78

Exadel

FEBRUARY 20, 2023

In this article, we’ll look at AI in the cloud and three major providers who are blazing a trail in the world of AI cloud technologies. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology. Previous article

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights.

Analytics 75

Analytics DevOps Development Software Review 75

Altexsoft

MAY 27, 2020

But, in any case, the pipeline would provide data engineers with means of managing data for training, orchestrating models, and managing them on production. Source: retentionscience.com. There are some ground-works and open-source projects that can show what these tools are.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Architecture 124

Architecture Data Security Technical Review 124

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

Based on my interactions with thousands of developers in the Progress / Telerik developer tools ecosystem, I wrote a separate article contrasting Kinvey with Firebase. AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers.

AWS 10

AWS DevOps Disaster Recovery Serverless 10

Invid Group

AUGUST 28, 2024

They can be proprietary, third-party, open-source, and run either on-premises or in the cloud. They come in all flavors: different formats, templates, and from different legal processes, sizes, and quality. Additionally, we have the human factor, which introduces grammar, semantic, and structural intrinsic challenges.

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 81

Data Software Review Weak Development Team Systems Review 81

Altexsoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration in a nutshell. On-premise data integration tools.

Tools 52

Tools Data Software Review Open Source 52