Altexsoft

JUNE 6, 2019

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. Some nuances while creating this dataset come from the on-field domain knowledge of our engineers.

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

O'Reilly Media - Ideas

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change. Data Quality and Standardization. Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Xebia

FEBRUARY 25, 2024

This post is based on a tutorial given at EuroPython 2023 in Prague: How to MLOps: Experiment tracking & deployment and a Code Breakfast given at Xebia Data together with Jeroen Overschie. Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations.

Applications 130

Applications Technical Review Software Review Azure 130

Cloudera

JULY 9, 2018

The three components of the data science iron triangle all have their challenges and strife. Only when organizations understand these challenges will they begin to harmonize and put them to work in a seamless fashion. Below we deconstruct three data science iron triangle dilemmas. How do I wrangle in my data science community?

Machine Learning 41

Machine Learning Artificial Inteligence Data Analytics 41

Xebia

JULY 19, 2023

Artificial Intelligence (AI) and Machine Learning (ML) systems are becoming ubiquitous: from self-driving cars to risk assessments to large language models (LLMs). In machine learning, there is another ingredient: algorithms are tweaked based on the patterns in the data. This approach ensures precious buy-in.

Artificial Inteligence 130

Artificial Inteligence Systems Review Testing System 130

Netflix Tech

NOVEMBER 22, 2019

1pm-2pm NFX 207 Benchmarking stateful services in the cloud Vinay Chella , Data Platform Engineering Manager Abstract : AWS cloud services make it possible to achieve millions of operations per second in a scalable fashion across multiple regions. We explore all the systems necessary to make and stream content from Netflix.

AWS 15

AWS Open Source Linux Engineering Management 15

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI. Denis Gagne Trisotech [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

OpenCredo

MARCH 20, 2020

It is recommended that a pragmatic approach is taken here and that access control changes are handled in a simple and transparent fashion with clear expectations set around timescales. Data Engineering. Data engineering involves getting the right data, to the right place, at the right time and in the right format.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Extract data. Consolidate data.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

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. Building an indexing pipeline at scale with Kafka Connect.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 84

Windows Software Review Data Engineering 84

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 94

Strategy Data Technical Review Weak Development Team 94

Coforge

AUGUST 20, 2019

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. And, with exponentially increasing computing power and newer chip architectures, Machine Learning (ML) has emerged as a powerful technique for building models over Big Data to predict outcomes.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Cloudera

AUGUST 24, 2020

You need to have consistent security and governance that allows you to not only control who has access to data, but also have full insights into lineage, metadata and cataloging throughout your environment. I would reiterate that you’ve got to be really careful here, because this is such a huge part of your data and analytics strategy.

Cloud 75

Cloud Data Government Innovation 75

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning.

Trends 135

Trends Technical Review Technology Software Review 135

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). In either case, there’s a difference between “trends” and “trendy.”

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” But these topics are relatively small and narrow.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Machine Learning Prototypes. Not available. Not available.

Cloud 83

Cloud Technical Review Storage Backup 83

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 76

Data Analytics Government Technical Review 76