So much has changed in the past two years about the retail space, including customer expectations and demands from retailers. In an analog world where a consumer will walk into a physical store for their shopping needs, whether they are on a mission for a specific item or going in for inspiration, what they expect is that they'll find what's relevant to them – often with a knowledgeable store associate to guide them. Now, in e-commerce, 90% of consumers expect the online experience to be equal to if not better than the in-store experience. This means finding what they need quickly and consistently each time they go to an online retail destination. Without a physical store associate to provide them with guidance, retailers can utilize technologies and advanced search platforms that allow consumers to easily and efficiently navigate, and discover what they need.

The machines are coming for your crops--at least in a few fields in America. This autumn John Deere, a tractor-maker, shipped its first fleet of fully self-driving machines to farmers. The tilling tractors are equipped with six cameras which use artificial intelligence (ai) to recognise obstacles and manoeuvre out of the way. Julian Sanchez, who runs the firm's emerging-technology unit, estimates that about half the vehicles John Deere sells have some AI capabilities. That includes systems which use onboard cameras to detect weeds among the crops and then spray pesticides, and combine harvesters which automatically alter their own setting to waste as little grain as possible.

Circle K, a global leader in convenience and mobility, announces its first-ever U.S. nationwide advertising campaign, "Fueled by Circle K." Taking place over the next year, the campaign focuses on Circle K fuel, which is now available in over half of its 7,000 U.S. locations. The campaign underscores Circle K's mission to make customers' lives a little easier every day, highlighting fuel they can trust as yet another way the brand serves the communities where it operates. "As a major milestone for our brand, we want the'Fueled by Circle K' campaign to celebrate our valued customers and show how they can trust the quality of Circle K fuel to support them on their journeys as well as enjoy so many customer favorites in store." The campaign will run primarily on digital streaming and social media channels, taking a customer-centric creative approach in the four-part ad series that showcases different customers, their fueling experiences and how Circle K has everything they need for their journey. Launched on Dec. 2, the first ad of the year-long campaign is holiday-themed, featuring actual Circle K employees alongside a variety of Circle K customer personalities, from delivery drivers to Santa's helpers.

My reading so far, is that designing and implementing a real time automated recommendation is a probem that requires multiple objectives to solve and this is the need of the hour. . Such multi-objective system needs competing objectives of consumers, possible tensions between goals of different stakeholders, conflicts when optimizing for different time horizons, competing design choices at the UI level, as well as system-level and engineering-related considerations. Solution I am using the @kaggle competation is kind of enesemble modle RNN, Transformers and Linear Programming.

Black Friday and Cyber Monday may be behind us, but many of the deals are still live as of today. A few deals even popped up after the shopping holidays ended, keeping our deals radar from getting rusty. Samsung still has a few good discounts including the Galaxy Z Fold 4 and Frame TVs. Apple's latest iPad is $30 off and sales on a few games for the PS5 and Nintendo Switch are still going strong. If you missed out on Black Friday or still have some shopping to do, now is a good time to grab an Instant Pot for holiday cooking, a Roomba to keep the floors spotless or a great pair of earbuds to unwind with some music. Here are the best deals from Cyber Week that you can still get today. Most of Roku's streaming devices are still on sale. Including the Roku Streaming Stick 4K, which is half price. At just $25, it matches the price of Amazon's 4K stick, and it's our current favorite streaming device. The Roku Streambar is down to $80, which is $50 less than usual and a record low. Roku's 2022 Ultra set-top box has dropped to a new low of $69. Roku's Streaming Stick 4K is on sale for $25 right now, which is half off its usual price.

Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. JumpStart also offers example notebooks that use Amazon SageMaker features like spot instance training and experiments over a large variety of model types and use cases. These example notebooks contain code that shows how to apply ML solutions by using SageMaker and JumpStart. They can be adapted to match to your own needs and can thus speed up application development. Recently, we added 10 new notebooks to JumpStart in Amazon SageMaker Studio.

According to a 2020 survey of data scientists conducted by Anaconda, data preparation is one of the critical steps in machine learning (ML) and data analytics workflows, and often very time consuming for data scientists. Data scientists spend about 66% of their time on data preparation and analysis tasks, including loading (19%), cleaning (26%), and visualizing data (21%). Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. With a single click, data scientists and developers can quickly spin up Studio notebooks to explore datasets and build models. If you prefer a GUI-based and interactive interface, you can use Amazon SageMaker Data Wrangler, with over 300 built in visualizations, analyses, and transformations to efficiently process data backed by Spark without writing a single line of code.

Amazon SageMaker now allows you to compare the performance of a new version of a model serving stack with the currently deployed version prior to a full production rollout using a deployment safety practice known as shadow testing. Shadow testing can help you identify potential configuration errors and performance issues before they impact end-users. With SageMaker, you don't need to invest in building your shadow testing infrastructure, allowing you to focus on model development. SageMaker takes care of deploying the new version alongside the current version serving production requests, routing a portion of requests to the shadow version. You can then compare the performance of the two versions using metrics such as latency and error rate.

As companies are increasingly adopting machine learning (ML) for their mainstream enterprise applications, more of their business decisions are influenced by ML models. As a result of this, having simplified access control and enhanced transparency across all your ML models makes it easier to validate that your models are performing well and take action when they are not. In this post, we explore how companies can improve visibility into their models with centralized dashboards and detailed documentation of their models using two new features: SageMaker Model Cards and the SageMaker Model Dashboard. Both these features are available at no additional charge to SageMaker customers. Model governance is a framework that gives systematic visibility into model development, validation, and usage.

Administrators of machine learning (ML) workloads are focused on ensuring that users are operating in the most secure manner, striving towards a principal of least privilege design. They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. In this post, we look at how to use Amazon SageMaker Role Manager to quickly build out a set of persona-based roles that can be further customized to your specific requirements in minutes, right on the Amazon SageMaker console. Role Manager offers predefined personas and ML activities combined with a wizard to streamline your permission generation process, allowing your ML practitioners to perform their responsibilities with the minimal necessary permissions. If you require additional customization, SageMaker Role Manager allows you to specify networking and encryption permissions for Amazon Virtual Private Cloud (Amazon VPC) resources and AWS Key Management Service (AWS KMS) encryption keys, and attach your custom policies.