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Secure Amazon S3 access for isolated Amazon SageMaker notebook instances

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In this post, we will demonstrate how to securely launch notebook instances in a private subnet of an Amazon Virtual Private Cloud (Amazon VPC), with internet access disabled, and to securely connect to Amazon Simple Storage Service (Amazon S3) using VPC endpoints. This post is for network and security architects that support decentralized data science teams on AWS. SageMaker notebook instances can be deployed in a private subnet and we recommend deploying them without internet access. Securing your notebook instances within a private subnet helps prevent unauthorized internet access to your notebook instances, which may contain sensitive information. The examples in this post will use Notebook instance Lifecycle Configurations (LCCs) to connect to an S3 VPC endpoint and download idle-usage detection and termination scripts onto the notebook instance.


Enable conversational chatbots for telephony using Amazon Lex and the Amazon Chime SDK

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Conversational AI can deliver powerful, automated, interactive experiences through voice and text. Amazon Lex is a service that combines automatic speech recognition and natural language understanding technologies, so you can build these sophisticated conversational experiences. A common application of conversational AI is found in contact centers: self-service virtual agents. We're excited to announce that you can now use Amazon Chime SDK Public Switched Telephone Network (PSTN) audio to enable conversational self-service applications to reduce call resolution times and automate informational responses. The Amazon Chime SDK is a set of real-time communications components that developers can use to add audio, messaging, video, and screen-sharing to your web and mobile applications.


Unravel the knowledge in Slack workspaces with intelligent search using the Amazon Kendra Slack connector

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Organizations use messaging platforms like Slack to bring the right people together to securely communicate with each other and collaborate to get work done. A Slack workspace captures invaluable organizational knowledge in the form of the information that flows through it as the users collaborate. However, making this knowledge easily and securely available to users is challenging due to the fragmented structure of Slack workspaces. Additionally, the conversational nature of Slack communication renders a traditional keyword-based approach to search ineffective. You can now use the Amazon Kendra Slack connector to index Slack messages and documents, and search this content using intelligent search in Amazon Kendra, powered by machine learning (ML).


How IoT and AI Drive Cashierless Retail

#artificialintelligence

The opening of the Amazon Go store was a monumental shift in the way we shop. For the first time, we saw what it looked like for a store to be entirely driven by technologies. We have also seen this concept of cashierless store technology in action through self-checkout kiosks at places like Walmart and other retail stores around the world. The entire retail industry is shifting to a model where cashiers are no longer needed. While these solutions are complicated to implement, they are still within reach for most retail companies.


The 12 Industries Amazon Could Disrupt Next - CB Insights Research

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Since 1999, Amazon's disruptive bravado has made "getting Amazoned" a fear for executives in any sector the tech giant sets its sights on. Here are the industries that could be under threat next. Jeff Bezos once famously said, "Your margin is my opportunity." Today, Amazon is finding opportunities in industries that would have been unthinkable for the company to attack even a few years ago. Throughout the 2000s, Amazon's e-commerce dominance paved a path of destruction through books, music, toys, sports, and a range of other retail verticals. Big box stores like Toys "R" Us, Sports Authority, and Barnes & Noble -- some of which had thrived for more than a century -- couldn't compete with Amazon's ability to combine uncommonly fast shipping with low prices. Today, Amazon's disruptive ambitions extend far beyond retail. With its expertise in complex supply chain logistics and competitive advantage in data collection, Amazon is attacking a whole host of new industries. The tech giant has ...


Python Coding and Programming: A 7-Day Crash Course With Hands-on Projects to Learn Python Coding, Game Programming, and Master Machine Learning Without Any Experience (2022 for Beginners) , Black, Shane , eBook - Amazon.com

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Python Coding and Programming: A 7-Day Crash Course With Hands-on Projects to Learn Python Coding, Game Programming, and Master Machine Learning Without Any Experience (2022 for Beginners) - Kindle edition by Black, Shane . Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Python Coding and Programming: A 7-Day Crash Course With Hands-on Projects to Learn Python Coding, Game Programming, and Master Machine Learning Without Any Experience (2022 for Beginners).


Top 5 Retail Bots Every Retailer Should Know in 2022

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Retail bots are thriving in the global retail industry by driving customer engagement and customer loyalty for the long run. Providing 24*7 customer service is essential for retails to retain existing customers and grab the attention of potential customers. Retail bots are helping in sending automated alerts to customers about personalized promotions, offers, discounts, and many more. In this article, you will see some of the top five retail bots that are yielding higher revenue in this cut-throat competitive market. Shopify Messenger is a pretty well-known bot in e-commerce.


Make batch predictions with Amazon SageMaker Autopilot

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Amazon SageMaker Autopilot is an automated machine learning (AutoML) solution that performs all the tasks you need to complete an end-to-end machine learning (ML) workflow. It explores and prepares your data, applies different algorithms to generate a model, and transparently provides model insights and explainability reports to help you interpret the results. Autopilot can also create a real-time endpoint for online inference. You can access Autopilot's one-click features in Amazon SageMaker Studio or by using the AWS SDK for Python (Boto3) or the SageMaker Python SDK. In this post, we show how to make batch predictions on an unlabeled dataset using an Autopilot-trained model.


DJI's Mavic Air 2 Fly More combo pack is 20 percent off today only

Engadget

As the weather gets warmer and spring approaches, many of us will be spending more time outside. If you're looking for a new gadget that you can bring with you on family outings, DJI's Mavic Air 2 could be a good option -- especially now that it's on sale at Amazon. The online retailer has knocked 20 percent off the Fly More combo pack, which includes a bunch of extra things in addition to the drone, bringing the whole thing down to $789. The discount is only good for today, but it allows you to get a plethora of handy accessories essentially for free, since the drone on its own costs $799. Ultimately, you're getting everything you'd need to take the drone with you on your next trip and, if you plan correctly, enough battery power to keep it in the sky for a long time. DJI came out with the Mavic Air 2 in 2020 as a follow-up to the original Mavic Air of 2018.


Amazon SageMaker Autopilot now supports time series data

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Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning (ML) models based on your data, while allowing you to maintain full control and visibility. We have recently announced support for time series data in Autopilot. You can use Autopilot to tackle regression and classification tasks on time series data, or sequence data in general. Time series data is a special type of sequence data where data points are collected at even time intervals. Manually preparing the data, selecting the right ML model, and optimizing its parameters is a complex task, even for an expert practitioner.