Netflix Tech

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Instead, we provide them with delightfully usable ML infrastructure that they can use to manage a project’s lifecycle. Wednesday?—?December

AWS 40

AWS Open Source Linux Off-The-Shelf 40

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

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

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.” Becoming Secure. Stable as the Web.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

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 134

Trends Technical Review Technology Software Review 134

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. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

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. Procurement analytics infrastructure.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Netflix Tech

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Instead, we provide them with delightfully usable ML infrastructure that they can use to manage a project’s lifecycle. Wednesday?—?December

AWS 15

AWS Open Source Linux Engineering Management 15

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. Moving data into Apache Kafka with the JDBC connector.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

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. A Holistic Visual Exploration of Data.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

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

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. Technology and infrastructure costs . Machine Learning Prototypes.

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

FEBRUARY 22, 2021

The valuation framework consists of four dimensions: 1) business value acceleration, 2) technology cost reduction and / or avoidance, 3) infrastructure cost optimization and 4) operational efficiency. Infrastructure cost optimization. reduce technology costs, accelerate organic growth initiatives). Business value acceleration.

Data 82

Data Analytics Government Technical Review 82