AWS Machine Learning - AI

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. He has helped multiple enterprises harness the power of AI and machine learning on AWS.

Generative AI 102

Generative AI Video Analysis Technical Review 102

The Crazy Programmer

SEPTEMBER 25, 2023

It’s the serverless platform that will run a range of things with stronger attention on the front end. Even though Vercel mainly focuses on front-end applications, it has built-in support that will host serverless Node.js This is the serverless wrapper made on top of AWS. features in a free tier. services for free.

Serverless 180

Serverless AWS Google Cloud Azure 180

CIO

APRIL 11, 2024

But with Amazon Web Services (31%), Microsoft Azure (24%), and Google Cloud Platform (11%) accounting for two thirds of the worldwide market, according to Synergy Research Group, Oracle Cloud Infrastructure (OCI) remains distantly behind the behemoths, leaving many to question whether Oracle’s cloud gains are enough to make it a contender.

Enterprise 187

Enterprise Artificial Inteligence Cloud Azure 187

Datavail

AUGUST 5, 2021

Below, we’ll go into more detail about the Microsoft Azure cloud, including some of the most important Azure features and services for developing and modernizing applications. Azure Machine Learning. Azure Service Fabric. Azure DevOps. Azure Functions.

Azure 52

Azure Software Development Artificial Inteligence Software 52

O'Reilly Media - Ideas

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP). Serverless Stagnant.

Cloud 144

Cloud Microservices Serverless Survey 144

Gorilla Logic

JANUARY 6, 2022

Machine Learning algorithms learn by example and can be continuously taught and re-trained over time, allowing them to adapt and improve with experience. Conversational AI combines machine learning with natural language processing. Azure Speech Service – An Overview.

Azure 82

Azure Comparison Artificial Inteligence Artificial Intelligence 82

Palo Alto Networks

SEPTEMBER 8, 2021

Developers and DevOps Teams Can Now Use Prisma Cloud’s Advanced Machine Learning to Prevent Dynamic Threats Before They are Deployed Into Operational Environments. Host Security: Auto-protection for virtual machines on Azure and Google Cloud. Host Security: Auto-Protection for VMs on Azure and Google Cloud.

Google Cloud 97

Google Cloud Serverless Azure Weak Development Team 97

O'Reilly Media - Ideas

JANUARY 22, 2019

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.

Systems Review 99

Systems Review Trends Engineering System 99

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 17

Artificial Inteligence Course Training Artificial Intelligence 17

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 108

Big Data Technology Tools Cloud 108

CIO

JANUARY 26, 2023

See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. AppDynamics also offers a proprietary machine learning engine to turn historical data into a plan for efficient deployment. Currently available for AWS and Azure.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Altexsoft

JANUARY 14, 2021

By the level of back-end management involved: Serverless data warehouses get their functional building blocks with the help of serverless services, meaning they are fully-managed by third-party vendors. The rest of maintenance duties are carried by Snowflake, which makes this solution practically serverless. Architecture.

Backup 115

Backup Azure Software Review Architecture 115

Prisma Clud

JUNE 20, 2023

Even more interesting is the diversity of these workloads, notably serverless and platform as a service (PaaS) workloads, which account for 36% of cloud-based workloads , signifying their growing importance in modern technology landscapes. New applications often use scalable and cost-effective serverless functions.

Cloud 105

Cloud Development Team Review Serverless Linux 105

CircleCI

MAY 27, 2022

Two of the most widely-used technologies to host these deployments are serverless functions and containers. In this comparison, we will look at some important differentiators between serverless computing and containers and outline some criteria you can use to decide which to use for your next project. What is serverless?

Serverless 52

Serverless Applications Technical Review Microservices 52

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Course 15

Course Artificial Inteligence Training Machine Learning 15

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 Open Source 130

Linux Academy

NOVEMBER 6, 2019

Building a Full-Stack Serverless Application on AWS. AWS Certified Machine Learning – Specialty. Configure Application Insights with Azure. Configure Azure SQL Database User Access. Configuring Alerts for Azure SQL. Enable Archiving with Azure Blob Storage. Installing OpenShift on Azure.

Google Cloud 16

Google Cloud Linux Azure AWS 16

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 94

Course Training Artificial Inteligence Software Review 94

Agile Engine

FEBRUARY 20, 2019

Trend 2: Machine Learning is the New Black. Now that Big Data is officially a boring technology, machine learning became another buzzword hitting the spotlight. In August 2018, deep learning reached the peak of Gartner’s Hype Cycle for Emerging Technologies. Microsoft Azure. Azure Blob Storage.

Big Data 71

Big Data Data Google Cloud Azure 71

Datavail

JUNE 22, 2021

But that’s not the only reason IT organizations are flocking to Azure. Here are the seven main reasons companies choose this versatile platform: High Availability : Microsoft has a significant global footprint which means Azure can provide a Service Level Agreement (SLA) of 99.95% for its customers.

Azure 40

Azure Cloud Company Artificial Inteligence 40

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 could be a big issue.

Trends 144

Trends Technical Review Technology Software Review 144

Existek

JANUARY 11, 2022

We suggest drawing a detailed comparison of Azure vs AWS to answer these questions. Azure vs AWS market share. What is Microsoft Azure used for? Azure vs AWS features. Azure vs AWS comparison: other practical aspects. Azure vs AWS comparison: other practical aspects. Azure vs AWS: which is better?

Azure 52

Azure AWS Cloud How To 52

OpenCredo

DECEMBER 11, 2020

Machine learning (ML) model inference is also an excellent application of Wasm. It is the holy grail of serverless computing. Embedding, IoT, Mobile, Machine Learning, etc. However, Wasm is not limited to gaming. But we are looking at a great technology that could fill the gaps and shortcoming of containers.

Lambda 111

Lambda Machine Learning Artificial Inteligence AWS 111

iTexico

AUGUST 9, 2019

There are plenty of options on the market, but for our intents and purposes we’re going to talk about one in particular: Microsoft Azure. Microsoft Azure puts a lot on the table for your consideration: enterprise-level cloud support, cloud-based windows servers, active directories, sharepoint and office, and plenty more you can look into.

Azure 8

Azure Cloud Disaster Recovery Virtualization 8

Mobilunity

JANUARY 28, 2025

AWS, Azure, Google Cloud) has unique pricing models and billing formats, challenging spending consolidation and optimization. Developers with a deep background in cloud-native solutions and frameworks can optimize performance with tools and services like containerization or serverless architectures. Each cloud platform (e.g.,

Budget 40

Budget Cloud Tools Weak Development Team 40

UruIT

DECEMBER 31, 2018

This is the ideal conference for you if you want to learn everything related to software architecture. The conference covers approaches and technologies such as chaos engineering, serverless, and cloud, in addition to a range of leadership and business skills. The talks and workshops at QCon.ai Stay tuned for further details!

Conference 89

Conference CTO Coach Fractional CTO Serverless 89

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 71

Course Training Artificial Inteligence Software Review 71

Prisma Clud

SEPTEMBER 21, 2023

Cloud Infrastructure Entitlements Management Prisma Cloud's Cloud Infrastructure Entitlement Management (CIEM) directly supports the Zero Trust security model by providing comprehensive visibility and control over user permissions across AWS, Azure and GCP environments.

Cloud 105

Cloud Network Policies Machine Learning 105

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 63

Course Training Artificial Inteligence Machine Learning 63

OTS Solutions

FEBRUARY 16, 2023

Free Consultation Top Cloud Computing trends to look forward to: More artificial intelligence and machine learning-powered clouds: Cloud providers are using AI (Artificial Intelligence) and ML-based Algos to handle enormous networks in cloud computing. This also involves machine learning and natural language processing.

Cloud 130

Cloud Artificial Inteligence Disaster Recovery Internet 130

O'Reilly Media - Ideas

JUNE 22, 2022

Most were specific to one of the three major cloud vendors: Microsoft Azure, Amazon Web Services, and Google Cloud. The range of training in this “other” group was extremely broad, spanning various forms of Agile training, security, machine learning, and beyond. There’s no really big news here (Figure 15).

Survey 137

Survey Cloud Google Cloud Training 137

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Quantum Computing: A Paradigm Shift in Processing Power Quantum computing represents the next frontier in computational capability.

Trends 52

Trends Innovation Cloud Technical Review 52

Kentik

FEBRUARY 20, 2023

Gaining access to these vast cloud resources allows enterprises to engage in high-velocity development practices, develop highly reliable networks, and perform big data operations like artificial intelligence, machine learning, and observability. The resulting network can be considered multi-cloud.

Network 97

Network Infrastructure Cloud Artificial Inteligence 97

Wolk Software Engineering

JULY 29, 2018

Amazon launched AWS in 2006 and Microsoft launched Azure in 2010. The promise of cloud computing has been somehow true from the beginning, but I feel that it is only now, thanks to the arrival of serverless technologies and more than ten years later that it is becoming a fulfilled promise. Infrastructure will no longer be a concern.

Web Development 59

Web Development Development IoT Serverless 59

Perficient

NOVEMBER 28, 2023

The scalability of our system extends to the cloud, working with providers such as Amazon AWS and Microsoft Azure in their commercial and government versions. This facilitates integration with various cloud services, from file storage to serverless services, databases and more, ensuring efficient and effective operation.

Innovation 52

Innovation Technology Artificial Inteligence IoT 52

Prisma Clud

APRIL 17, 2024

Advanced threat protection capabilities, such as multilayer threat detection and machine learning anomaly detection, are also crucial to uncover and stop advanced attacks targeting cloud environments. This is supported across the six largest cloud providers—AWS, Azure, Google, Oracle, Alibaba and IBM Cloud.

Telecommunications 59

Telecommunications Compliance Cloud Policies 59