CIO

JUNE 19, 2024

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. We see this as a strategic priority to improve developer experience and productivity,” he says.

Weak Development Team 208

Weak Development Team Engineering UI/UX Software Development 208

TechCrunch

MAY 18, 2022

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019.

Open Source 203

Open Source Weak Development Team Data Artificial Inteligence 203

Erik Bernhardsson

JULY 22, 2021

That sounds bad! Specialization is probably driven a lot by bad tools. We have come a long way, but I still see people wasting way too much time debugging YAML, waiting for deployments, or begging the SRE team for help. And what I also see to some extent is a bit of an entitlement attitude in some developers.

Weak Development Team 158

Weak Development Team Data Tools Engineering 158

TechCrunch

DECEMBER 1, 2020

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.” million. . ” Not a great scenario.

Tools 214

Tools Data Weak Development Team Big Data 214

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 79

Data Engineering Engineering Data Big Data 79

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. This is hardly surprising.

Weak Development Team 145

Weak Development Team Data Technical Review Survey 145

Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 72

Data Engineering Engineering Data Software Engineering 72

TechCrunch

SEPTEMBER 15, 2021

Businesses and the tech companies that serve them are run on data. At its most challenging, though, data can represent a real headache: there is too much of it, in too many places, and too much of a task to bring it into any kind of order. . We look forward to supporting the team through its next phase of growth and expansion.”.

Artificial Inteligence 234

Artificial Inteligence Data Weak Development Team Artificial Intelligence 234

Altexsoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. Kafka advantages.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

CIO

SEPTEMBER 19, 2024

Goldcast, a software developer focused on video marketing, has experimented with a dozen open-source AI models to assist with various tasks, says Lauren Creedon, head of product at the company. Advanced teams will be required to “take a number of these different open-source models and pair them together in a workflow,” Creedon adds.

CTO Coach 207

CTO Coach Artificial Inteligence Open Source Fractional CTO 207

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. What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

CIO

FEBRUARY 14, 2023

Streaming data technologies unlock the ability to capture insights and take instant action on data that’s flowing into your organization; they’re a building block for developing applications that can respond in real-time to user actions, security threats, or other events. report they have established a data culture 26.5%

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Hu's Place - HitachiVantara

MAY 10, 2019

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90

Data Artificial Inteligence Machine Learning Weak Development Team 90

Cloudera

MARCH 2, 2021

Streaming analytics is crucial to modern business – it opens up new product opportunities and creates massive operational efficiencies. In many cases, it’s the difference between creating an outstanding customer experience versus a poor one – or losing the customer altogether. A rare breed.

Data 112

Data Weak Development Team Data Engineering Enterprise 112

Altexsoft

SEPTEMBER 28, 2021

web development, data analysis. Source: Python Developers Survey 2020 Results. This distinguishes Python from domain-specific languages like HTML and CSS limited to web design or SQL created for accessing data in relational database management systems. many others. How Python is used. Object-oriented. Dynamic semantics.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

JULY 18, 2023

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

O'Reilly Media - Data

MARCH 22, 2018

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., Interpreting high-dimensional MNIST data by visualizing in 3D using PCA for building domain knowledge using TensorFlow.

Off-The-Shelf 177

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

AWS Machine Learning - AI

JULY 15, 2024

The benchmarking revealed that the model performed optimally when processing batches of images, but underperformed when analyzing individual images. Powered by a Llama language model, the assistant initially used carefully engineered prompts created by AI experts. About the authors Vlad Lebedev is a Senior Technology Leader at Mixbook.

Generative AI 109

Generative AI Artificial Inteligence AWS Technical Review 109

Cloudera

MARCH 10, 2022

We surveyed some of the most inspiring female leaders in data from across our global customers to find out how bias has affected their careers and how they believe we can break the cycle. . It’s not all bad news. For Jinsoo Jang, NW Big Data Engineering Team Leader at LG Uplus, it is about breaking a historical cycle.

Data 118

Data Weak Development Team Big Data Energy 118

O'Reilly Media - Ideas

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 139

Enterprise Survey Technical Review Weak Development Team 139

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., What is Power used for? Power BI products. Power BI products.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Cloudera

AUGUST 20, 2021

A multi-purpose platform focused on diverse value propositions for data products. All these different experiences leverage the same underlying data, security and governance layer via the Control Plane and the Shared Data Experience that enable a high degree of integration and modularity between components.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

O'Reilly Media - Ideas

MARCH 31, 2020

You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. Why AI software development is different. AI products are automated systems that collect and learn from data to make user-facing decisions.

Product Management 145

Product Management Artificial Inteligence Machine Learning Weak Development Team 145

Altexsoft

JULY 23, 2020

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. The main idea of any data warehouse (DW) is to integrate data from multiple disjointed sources (e.g.,

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

SEPTEMBER 23, 2019

There’s a large variety of analytical activities when we’re talking about software development. In this article, we’ll explain what business analysis in software development is and the role of a business analyst (BA) within this process. Who is a Business Analyst in Software Development? Planning development activities.

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Weak Development Team Software Development Project Management Research 62

Cloudera

FEBRUARY 15, 2024

Institutions deemed TBTM may face added regulatory scrutiny as they are viewed to inevitably have persistent weaknesses and commit repeat offenses. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

Insurance 88

Insurance Compliance Technical Review Banking 88

Cloudera

MAY 13, 2021

WM reveals strengths and weaknesses in workloads that run on Cloudera clusters. Fixed Reports / Data Engineering jobs . Often mission-critical to the various lines of business (risk analytics, platform support, or data engineering), which hydrate critical data pipelines for downstream consumption.

Data Engineering 73

Data Engineering Cloud Weak Development Team Resources 73

Confluent

FEBRUARY 22, 2019

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. Franz was conceived as a strongly typed, interoperable data stream for inter-service communication. The team began investigating the range of encoding formats that would suit Deliveroo’s requirements.

Data 81

Data Software Review Weak Development Team Systems Review 81

Altexsoft

JUNE 11, 2021

Process analytics takes place. Here, KPIs can be created and monitored to uncover potential improvement areas, data mining and/or ML algorithms can be used to detect hidden patterns and dependencies, or conformance checking techniques can be applied to compare the process to a certain ideal model. The vendor’s invoice is received.

Applications 69

Applications Weak Development Team Software Review Systems Review 69

Altexsoft

NOVEMBER 22, 2019

Some solutions are equipped with analytical features to show how your online reputation changes in the course of time. Major hotel data sources overview. Hotel data storing: consider warehouses. But even perfectly cleansed and standardized, data is useless if it just stays in the warehouse.

Hotels 18

Hotels Data Technical Review Systems Review 18

Cloudera

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. The Apache Iceberg project continues developing an implementation of Iceberg specification in the form of Java Library. To learn more: For more on Iceberg manifest caching configuration in In Cloudera Data Warehouse (CDW), please refer to [link].

Weak Development Team 70

Weak Development Team Engineering Analytics Storage 70

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59