CloudSphere

MARCH 24, 2020

Azure offers a natural transition for Windows dominant enterprises and integrates seamlessly with Microsoft services such as Power BI. The Google Cloud Platform has definite advantages when it comes to machine learning and large-scale analytics. Take the biggest players currently. A ll migrations have challenges.

Cloud 40

Cloud Google Cloud Azure Architecture 40

CIO

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively.

Generative AI 341

Generative AI Artificial Inteligence Metrics Training 341

Actian

JULY 26, 2019

Analytics performance: How easy is it to adopt sophisticated analytical techniques at scale, such as machine learning, predictive analytics, deep learning, and IoT analytics? How important is having your data be kept “fresh” so you can be certain that real-time decisions are based on accurate, up to date data?

Cloud 40

Cloud Data Analytics Case Study 40

Protera

SEPTEMBER 25, 2018

The reasons, as we’ve said before, aren’t because of shiny new features, but good old-fashioned cost benefit analysis. The competition between AWS, Azure, and other public cloud providers has been particularly helpful in the SAP community. The Innovation Cycle for the public cloud is breathtakingly fast.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Xebia

FEBRUARY 25, 2024

Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. Code is made available here. Let’s look at what that means.

Applications 130

Applications Technical Review Software Review Azure 130

Hu's Place - HitachiVantara

FEBRUARY 1, 2019

The Need for New Compute Architectures The growth in performance of non-volatile memory technologies such as storage-class memories , and the growing demand for intensive compute for graphics processors, analytics/machine learning, crypto currencies, and edge processing are starting to exceed the performance capabilities of CPU processors.

Hardware 49

Hardware Architecture Storage Systems Review 49

TechCrunch

DECEMBER 1, 2020

And because of its unique qualities, video has been largely immune to the machine learning explosion upending industry after industry. But consider this: many new phones ship with a chip designed for running machine learning models, which like codecs can be accelerated, but unlike them the hardware is not bespoke for the model.

Video 252

Video Hardware Artificial Inteligence Technical Cofounder 252

A List Apart

JANUARY 17, 2019

As you’ve likely noticed, the technology landscape has now matured to the point where you can “personalize” a digital experience based on just about anything, from basic geolocation to complex machine learning algorithms. Examples: Show me a different message if I work in the fashion industry vs. hog farming. Machine Learning.

Machine Learning 109

Machine Learning Artificial Inteligence Examples eCommerce 109

A List Apart

JANUARY 17, 2019

As you’ve likely noticed, the technology landscape has now matured to the point where you can “personalize” a digital experience based on just about anything, from basic geolocation to complex machine learning algorithms. Examples: Show me a different message if I work in the fashion industry vs. hog farming. Machine Learning.

Machine Learning 109

Machine Learning Artificial Inteligence Examples Fashion 109

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. That growth is easy to understand.

Trends 134

Trends Technical Review Technology Software Review 134

Mobilunity

JULY 5, 2021

Whether you choose Google, Amazon, or Azure cloud managed services , the key is customization. The difference is the same as going to a fast fashion shop and using tailor services. . Here are the main platforms to choose from: Azure Cloud Managed Services. Cloud managed service provider Azure deals with the cloud by Microsoft.

Cloud 52

Cloud Comparison Azure AWS 52

Altexsoft

OCTOBER 31, 2019

Machine learning specialist Jason Brownlee points out that computer vision typically involves developing methods that attempt to reproduce the capability of human vision. Users aren’t required to have machine learning expertise. Source: Microsoft Azure. Let’s get back to our food ordering situation.

Off-The-Shelf 15

Off-The-Shelf Video Analysis Machine Learning 15

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? 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 Machine Learning Artificial Inteligence Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2021

Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). New frameworks appear every day (literally), and our corporate clients won’t suddenly tell their staff to reimplement the ecommerce site just because last year’s hot framework is no longer fashionable.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Altexsoft

SEPTEMBER 19, 2019

Imagine you’re a business analyst in a fast fashion brand, and you have a task to understand why sales of a new clothing line in a given region are dropping and how to increase them while achieving desired profit benchmark. Microsoft Azure services. data warehouses (Snowflake, Azure SQL Data Warehouse, SAP Business Warehouse, etc.).

Business Intelligence 13

Business Intelligence Tools Data Azure 13

O'Reilly Media - Ideas

JANUARY 25, 2022

AWS,” “Azure,” and “cloud” were also among the most common words (all in the top 1%), again showing that our audience is highly interested in the major cloud platforms. Usage of content about Microsoft Azure is up 32% and Google Cloud is up 54%, while the usage of AWS-related content has declined by 3%.

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. 1 Year Reserved . 13,000-18,500.

Cloud 86

Cloud Technical Review Storage Backup 86

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud is the only platform on the market that offers straight through code, straight through automation, or any combination of these approaches in a unified environment that continuously learns. In true multi-cloud fashion, model training can be done in one cloud environment while model deployment can be done in another.

Cloud 52

Cloud Google Cloud Fashion Virtualization 52

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 82

Data Analytics Government Technical Review 82