AWS Machine Learning - AI

FEBRUARY 6, 2024

By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format. This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. AI delivers a major leap forward.

Generative AI 94

Generative AI AWS Lambda Technical Review 94

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

Artificial Inteligence 84

Artificial Inteligence Machine Learning AWS Software Engineering 84

The Crazy Programmer

SEPTEMBER 25, 2023

Get 1 GB of free storage. Try Render Vercel Earlier known as Zeit, the Vercel app acts as the top layer of AWS Lambda which will make running your applications easy. This is the serverless wrapper made on top of AWS. It offers the most intuitive user interface & scalability choices. Auto Scaling for traffic surges.

Serverless 180

Serverless AWS Google Cloud Azure 180

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models. You can also use the StartIngestionJob API to trigger the sync via the AWS SDK.

Knowledge Base 105

Knowledge Base Artificial Inteligence Generative AI AWS 105

KitelyTech

FEBRUARY 15, 2023

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. It is a platform where users can access applications, storage, and other computing services from the cloud, rather than their own device.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

AWS Machine Learning - AI

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). The following are the solution workflow steps: Download the product description text and images from the public Amazon Simple Storage Service (Amazon S3) bucket. Virginia) and US West (Oregon) AWS Regions.

Artificial Inteligence 93

Artificial Inteligence Serverless Engineering Generative AI 93

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

CIO

JANUARY 17, 2024

Plus, it helps with scalability — helping to handle large volumes of data and complex analysis without compromising performance or quality through cloud computing — and innovation by incorporating new features and functionalities into its deliverables, using the latest technologies and tools available.

Artificial Inteligence 276

Artificial Inteligence Artificial Intelligence Analysis Azure 276

AWS Machine Learning - AI

FEBRUARY 1, 2024

For this use case, we use SageMaker Canvas, Amazon SageMaker Data Wrangler , Amazon Security Lake , and Amazon Simple Storage Service (Amazon S3). It offers industry-leading scalability, data availability, security, and performance. Prerequisites Before starting, you need an AWS account.

Generative AI 80

Generative AI Artificial Inteligence Data AWS 80

AWS Machine Learning - AI

MAY 30, 2024

With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure. To learn more, visit Amazon Bedrock.

Artificial Inteligence 95

Artificial Inteligence Technical Review Development Team Review Software Review 95

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

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 Amazon AWS 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

Linux Academy

APRIL 9, 2019

There are currently 6 AWS certification exams, and 4 specialty AWS certification exams. These are the: AWS Certified Cloud Practitioner. AWS Certified Solutions Architect – Associate Level (AWS CSA). AWS Certified Solutions Architect – Professional Level (AWS CSAP). AWS Certified Big Data.

AWS 60

AWS DevOps Architecture Scalability 60

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. What is a data lake? Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Machine Learning 52

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

Capgemini

OCTOBER 15, 2019

Well, it turns out that’s already possible… with SAP S/4HANA on AWS. With a few simple clicks of a button, you can stand up an SAP-certified S/4HANA system on AWS, including storage and anything else you need. AWS has been working with SAP since 2011 and provides solutions of all shapes and sizes for any purpose.

AWS 53

AWS Scalability Blockchain IoT 53

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Netflix Tech

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 40

AWS Open Source Linux Off-The-Shelf 40

Apps Associates

JULY 14, 2023

Improved scalability, high availability, enhanced security, cost optimization, and seamless integration with AWS services are just a few advantages worth considering. Here is a snapshot of customers who have leveraged AWS cloud to successfully transform their legacy Oracle footprint of applications, databases, and technology.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

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. This event-driven model enhances efficiency, scalability, and cost-effectiveness.

Trends 52

Trends Innovation Cloud Serverless 52

Perficient

NOVEMBER 28, 2023

This results in scalable and flexible software , able to adapt to changing demands and decoupled to offer flexibility in services as the challenge arises. 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.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Storage zone is where the raw data is stored in its original format. The analytics zone may include tools for data visualization, machine learning, and predictive analytics.

Engineering 52

Engineering Data Storage AWS 52

Cloudera

SEPTEMBER 9, 2021

The cloud-native consumption model delivers lower cloud infrastructure TCO versus both on-premises and IaaS deployments of Apache HBase by employing a) elastic compute resources b) cloud-native design patterns for high-availability and c) cost efficient object storage as the primary storage layer. Savings opportunity on AWS.

Storage 95

Storage Azure Technical Review Database Administration 95

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase offers cloud storage for storing and serving user-generated content such as images, videos, and other files. Unity 11.1.0

Technical Review 52

Technical Review Software Review Authentication Scalability 52

AWS Machine Learning - AI

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. are the sessions dedicated to AWS DeepRacer ! And last but not least (and always fun!)

Generative AI 102

Generative AI Artificial Inteligence AWS Machine Learning 102

CTOvision

FEBRUARY 20, 2015

This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments. Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Datavail

JULY 7, 2022

Agility and scalability. Traditional on-premises analytics infrastructure is limited in terms of the agility and scalability that you can achieve. With finite hardware restrictions on computational power and storage, companies often struggle to adapt when facing unprecedented demand for analytics workloads.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

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. Data Storage. Google Cloud Storage.

Big Data 71

Big Data Google Cloud Data Azure 71

Netflix Tech

OCTOBER 19, 2020

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

AWS Machine Learning - AI

APRIL 23, 2024

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

Knowledge Base 97

Knowledge Base Scalability Applications Generative AI 97

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. So, if a company plans on building an application based on Amazon’s hosting services, it needs an AWS cloud engineer. Amazon AWS. Businesses can hire an AWS cloud engineer to work with a wide set of tools.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

With ASP.NET, developers can build web applications that are secure, scalable, and easy to maintain. With frameworks like ASP.NET and Blazor, developers can build web applications that are secure, scalable, and easy to maintain while leveraging the power and flexibility of the.NET Framework. Mobile development: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52