Lindsey  Koepp

Lindsey Koepp

1602715320

Amazon SageMaker Continues to Lead the Way

Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they’re able to experiment, innovate, and deploy to production in less time and at lower cost than ever before. Thus, business opportunities can be explored, seized, and turned into industrial-grade products and services.

As Machine Learning (ML) became a growing priority for our customers, they asked us to build an ML service infused with the same agility and robustness. The result was Amazon SageMaker, a fully managed service launched at AWS re:Invent 2017 that provides every developer and data scientist with the ability to build, train, and deploy ML models quickly.

Today, Amazon SageMaker is helping tens of thousands of customers in all industry segments build, train and deploy high quality models in production: financial services (Euler Hermes, Intuit, Slice Labs, Nerdwallet, Root Insurance, Coinbase, NuData Security, Siemens Financial Services), healthcare (GE Healthcare, Cerner, Roche, Celgene, Zocdoc), news and media (Dow Jones, Thomson Reuters, ProQuest, SmartNews, Frame.io, Sportograf), sports (Formula 1, Bundesliga, Olympique de Marseille, NFL, Guiness Six Nations Rugby), retail (Zalando, Zappos, Fabulyst), automotive (Atlas Van Lines, Edmunds, Regit), dating (Tinder), hospitality (Hotels.com, iFood), industry and manufacturing (Veolia, Formosa Plastics), gaming (Voodoo), customer relationship management (Zendesk, Freshworks), energy (Kinect Energy Group, Advanced Microgrid Systems), real estate (Realtor.com), satellite imagery (Digital Globe), human resources (ADP), and many more.

When we asked our customers why they decided to standardize their ML workloads on Amazon SageMaker, the most common answer was: “SageMaker removes the undifferentiated heavy lifting from each step of the ML process.” Zooming in, we identified five areas where SageMaker helps them most.

#1 – Build Secure and Reliable ML Models, Faster

As many ML models are used to serve real-time predictions to business applications and end users, making sure that they stay available and fast is of paramount importance. This is why Amazon SageMaker endpoints have built-in support for load balancing across multiple AWS Availability Zones, as well as built-in Auto Scaling to dynamically adjust the number of provisioned instances according to incoming traffic.

For even more robustness and scalability, Amazon SageMaker relies on production-grade open source model servers such as TensorFlow Serving, the Multi-Model Server, and TorchServe. A collaboration between AWS and Facebook, TorchServe is available as part of the PyTorch project, and makes it easy to deploy trained models at scale without having to write custom code.

In addition to resilient infrastructure and scalable model serving, you can also rely on Amazon SageMaker Model Monitorto catch prediction quality issues that could happen on your endpoints. By saving incoming requests as well as outgoing predictions, and by comparing them to a baseline built from a training set, you can quickly identify and fix problems like missing features or data drift.

#announcements #apache mxnet on aws #artificial intelligence #open source #pytorch on aws #sagemaker #tensorflow on aws

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Amazon SageMaker Continues to Lead the Way

Marcus Anthony

1612355729

Amazon Pay Clone, Amazon Pay Clone Script, Recharge & Wallet App Solution

Mobile wallet applications have become the new trend in today’s world. Apps like Amazon Pay, Paytm, PayPal are some of the leading apps that are owned and used by millions. Be it paying bills, recharging, or money transactions, everything has turned easier because of these apps. There were days when people used to travel for hours to do these tasks have been totally transformed. Moreover, consumers can use these e-wallet apps while paying in a store, either for shopping or while eating out. Thus, as far as mobile wallets are concerned, they are a convenient way for handling all the tasks involving finance.

As an aspiring entrepreneur, if you wish to succeed in your business, without second thoughts, go for Amazon Pay clone app development. Let’s narrow down your thinking processes for a quicker stride forward by analyzing the types of apps first.

Types of e-wallet apps you could develop:

Retail application: An app like Amazon is considered the retail app because it has a mobile wallet in it. It has all the basic functionalities, which helps users to redeem coupons and reward points. All the payment modes are accessible through the app, including net banking.

Dedicated app: The app allows P2P money transactions by storing a variety of cards. You could also make international money transfers using this app. Example: PayPal, Apple Pay, and Amazon Pay.

PoS payments: The PoS payment wallet apps are found at the stores. It is exclusively used by the users to make contactless payments without having to stand in a long queue.

Wrapping up,
Choose the best type of e-wallet app you want to develop and join forces with our Appdupe. Grab the cutting-edge Amazon Pay Clone script and launch an app in a week!

##amazon pay clone ##amazon pay clone script ##amazon pay clone app ##amazon pay clone app development ##amazon pay app clone ##amazon pay app clone development

dia adalyn

1613130444

Empower your e-commerce business by building an app like Amazon

We at Appdupe incorporate the app with the latest techniques to meet the customer market trend. The app is enriched with the highly-advanced and innovative features that help you deliver the best Amazon clone script that helps turn your e-commerce business ideas into reality. We offer a top-notch Amazon clone app development and a ready-made clone application perfect for any business sector. Every feature in it is set to expand your business, which can also be altered with your brand name. By developing an app like Amazon, you can easily reach your customer anytime anywhere that eventually helps increase the business revenue.

Read More, https://www.appdupe.com/amazon-clone

#amazon clone #amazon clone app #amazon clone app development #amazon clone script #amazon app clone #amazon like app development

nancy martin

1626419753

Activate Amazon Prime || Amazon Activate MyTv || Amazon.com mytv

Amazon Activate MyTv:- Amazon Prime provides a variety of benefits for its customers. Amazon Prime videos is one of many outstanding features. You can browse through thousands of movies and find the best shows with the help of this feature. However, you may not feel comfortable watching a movie on your phone. Amazon was aware of this discomfort. Amazon designed its prime video service so that smart TVs can be used seamlessly. The sad truth is, many prime subscribers don’t know this. They might ask: How can I sign in to Amazon Prime on my TV?" You are likely reading this post because you don’t know how to activate Amazon Prime on your Android and Apple TV. This post is for those who are in this situation. Let me assure you, Amazon.com/mytv is straightforward. But, first, let me answer some important questions to help you get the full picture.

Read More:- https://www.customerservicephonedirectory.com/amazon/amazon-my-tv/

#activate amazon prime #amazon activate mytv #amazon.com mytv #amazon prime tv code #amazon mytv

Lindsey  Koepp

Lindsey Koepp

1602715320

Amazon SageMaker Continues to Lead the Way

Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they’re able to experiment, innovate, and deploy to production in less time and at lower cost than ever before. Thus, business opportunities can be explored, seized, and turned into industrial-grade products and services.

As Machine Learning (ML) became a growing priority for our customers, they asked us to build an ML service infused with the same agility and robustness. The result was Amazon SageMaker, a fully managed service launched at AWS re:Invent 2017 that provides every developer and data scientist with the ability to build, train, and deploy ML models quickly.

Today, Amazon SageMaker is helping tens of thousands of customers in all industry segments build, train and deploy high quality models in production: financial services (Euler Hermes, Intuit, Slice Labs, Nerdwallet, Root Insurance, Coinbase, NuData Security, Siemens Financial Services), healthcare (GE Healthcare, Cerner, Roche, Celgene, Zocdoc), news and media (Dow Jones, Thomson Reuters, ProQuest, SmartNews, Frame.io, Sportograf), sports (Formula 1, Bundesliga, Olympique de Marseille, NFL, Guiness Six Nations Rugby), retail (Zalando, Zappos, Fabulyst), automotive (Atlas Van Lines, Edmunds, Regit), dating (Tinder), hospitality (Hotels.com, iFood), industry and manufacturing (Veolia, Formosa Plastics), gaming (Voodoo), customer relationship management (Zendesk, Freshworks), energy (Kinect Energy Group, Advanced Microgrid Systems), real estate (Realtor.com), satellite imagery (Digital Globe), human resources (ADP), and many more.

When we asked our customers why they decided to standardize their ML workloads on Amazon SageMaker, the most common answer was: “SageMaker removes the undifferentiated heavy lifting from each step of the ML process.” Zooming in, we identified five areas where SageMaker helps them most.

#1 – Build Secure and Reliable ML Models, Faster

As many ML models are used to serve real-time predictions to business applications and end users, making sure that they stay available and fast is of paramount importance. This is why Amazon SageMaker endpoints have built-in support for load balancing across multiple AWS Availability Zones, as well as built-in Auto Scaling to dynamically adjust the number of provisioned instances according to incoming traffic.

For even more robustness and scalability, Amazon SageMaker relies on production-grade open source model servers such as TensorFlow Serving, the Multi-Model Server, and TorchServe. A collaboration between AWS and Facebook, TorchServe is available as part of the PyTorch project, and makes it easy to deploy trained models at scale without having to write custom code.

In addition to resilient infrastructure and scalable model serving, you can also rely on Amazon SageMaker Model Monitorto catch prediction quality issues that could happen on your endpoints. By saving incoming requests as well as outgoing predictions, and by comparing them to a baseline built from a training set, you can quickly identify and fix problems like missing features or data drift.

#announcements #apache mxnet on aws #artificial intelligence #open source #pytorch on aws #sagemaker #tensorflow on aws

dia adalyn

1614158648

Breeze In To The Ecommerce Market With Amazon Clone

In this digital era, you can see many online shopping platforms that provide an interface of electronics, fashion, toys, groceries, and much more. All the platforms that you see now are soaring high because of the ease they offer users while shopping. Gone are the days where people had to travel to one place and shop products from one store to another until they got satisfied with the product and the price. Now, online shopping or ecommerce marketplaces are resembling an all-in-all solution.

From having a unique and user-friendly platform that lets them shop easily to providing a reliable product delivery service, they attract users to shop more and entrepreneurs to earn more. Now looking at the enhancements that these platforms are bringing around the globe, our Appdupe has also come up with an Amazon clone script.

What is an Amazon Clone script?
As an app development company that has been drenched with the ins and outs of it, we know how strenuous app development can be if started from scratch. That is why we offer the entrepreneurs an alternative app like Amazon. The script is readily integrable, customizable, where the entrepreneurs won’t have to go through the process of coding, and neither do they have to rent a developers team. All the features, functionalities can be integrated, and the app can be launched in just a few days.

It is human nature to doubt the quality of any service or product if it is ready-made. But here, you won’t have to fret over the quality, as our team is experienced in ecommerce app development and has always offered the best apps to people, turning them into successful entrepreneurs.

Blue-chip features of the Amazon Clone script
Here, we are providing you with a peek into the features that come along with the solution. Let’s see them.

UI/UX design: The app solution comes with a charming user design interface that gives an interface of online shopping.The design is so effective that the user can see an actual product view to purchase the product.

Product catalog: With our solution’s immersive product catalog feature, the user can find the product details easily.

Simple login/signup: Our solution is concerned with keeping the shopping experience smooth. So it offers an easy login and signup process that lets the user start shopping immediately.

Advanced search and filter: Using this feature, users can easily find the product in the app’s search panel and filter the product through different choices like low to high, high to low, popularity, relevance, etc.

Inventory management: Users can keep track of their records like data, transactions and effortlessly manage their accounts. They can also cancel and track the orders with the inventory process help.

Multiple payment gateways: Users can pay for the products delivered effortlessly, as the script can be integrated with various payment gateways, where they can pay using credit, debit, UPI, cash on the delivery, and net-banking.

Notifications: To keep the engagement alive and help you to retain the users, the app contains this feature to send information like order status, OTP-based SMS, and push notifications for discounts or special offers.

According to Statista, the ecommerce sector is expected to hit a revenue of $4.5 trillion by 2021. So, why not join in the development process as soon as you can? Moreover, people nowadays prefer the ecommerce to conventional shopping because of reasons like:

  • A wide variety of choices
  • Convenience
  • No travel and hour-long queues
  • Easy to return service
  • Secure service
  • Better products and best deals

Conclusion:
Make the merry way into the ecommerce market with an Amazon clone, as there are numerous chances now for you to reach a zenith.

Originally Published, https://thisweekinlibraries.com/breeze-in-to-the-ecommerce-market-with-amazon-clone/

#amazon clone #amazon clone app #amazon clone app development #amazon clone script #amazon app clone