Tag Archives: AWS Supply Chain

Unlock the potential of your supply chain data and gain actionable insights with AWS Supply Chain Analytics

Post Syndicated from Donnie Prakoso original https://aws.amazon.com/blogs/aws/unlock-the-potential-of-your-supply-chain-data-and-gain-actionable-insights-with-aws-supply-chain-analytics/

Today, we’re announcing the general availability of AWS Supply Chain Analytics powered by Amazon QuickSight. This new feature helps you to build custom report dashboards using your data in AWS Supply Chain. With this feature, your business analysts or supply chain managers can perform custom analyses, visualize data, and gain actionable insights for your supply chain management operations.

Here’s how it looks:

AWS Supply Chain Analytics leverages the AWS Supply Chain data lake and provides Amazon QuickSight embedded authoring tools directly into the AWS Supply Chain user interface. This integration provides you with a unified and configurable experience for creating custom insights, metrics, and key performance indicators (KPIs) for your operational analytics.

In addition, AWS Supply Chain Analytics provides prebuilt dashboards that you can use as-is or modify based on your needs. At launch, you will have the following prebuilt dashboards:

  1. Plan-Over-Plan Variance: Presents a comparison between two demand plans, showcasing variances in both units and values across key dimensions such as product, site, and time periods.
  2. Seasonality Analytics: Presents a year-over-year view of demand, illustrating trends in average demand quantities and highlighting seasonality patterns through heatmaps at both monthly and weekly levels.

Let’s get started
Let me walk you through the features of AWS Supply Chain Analytics.

The first step is to enable AWS Supply Chain Analytics. To do this, navigate to Settings, then select Organizations and choose Analytics. Here, I can Enable data access for Analytics.

Now I can edit existing roles or create a new role with analytics access. To learn more, visit User permission roles.

Once this feature is enabled, when I log in to AWS Supply Chain I can access the AWS Supply Chain Analytics feature by selecting either the Connecting to Analytics card or Analytics on the left navigation menu.

Here, I have an embedded Amazon QuickSight interface ready for me to use. To get started, I navigate to Prebuilt Dashboards.

Then, I can select the prebuilt dashboards I need in the Supply Chain Function dropdown list:

What I like the most about this prebuilt dashboards is I can easily get started. AWS Supply Chain Analytics will prepare all the datasets, analysis, and even a dashboard for me. I select Add to begin.

Then, I navigate to the dashboard page, and I can see the results. I can also share this dashboard with my team, which improves the collaboration aspect.

If I need to include other datasets for me to build a custom dashboard, I can navigate to Datasets and select New dataset.

Here, I have AWS Supply Chain data lake as an existing dataset for me to use.

Next, I need to select Create dataset.

Then, I can select a table that I need to include into my analysis. On the Data section, I can see all available fields. All data sets that start with asc_ are generated by AWS Supply Chain, such as data from Demand Planning, Insights, Supply Planning, and others.

I can also find all the datasets I have ingested into AWS Supply Chain. To learn more on data entities, visit the AWS Supply Chain documentation page. One thing to note here is if I have not ingested data into AWS Supply Chain Data Lake, I need to ingest data before using AWS Supply Chain Analytics. To learn how to ingest data into the data lake, visit the data lake page.

At this stage, I can start my analysis. 

Now available
AWS Supply Chain Analytics is now generally available in all regions where AWS Supply Chain is offered. Give it a try to experience and transform your operations with the AWS Supply Chain Analytics.

Happy building,
— Donnie

AWS Weekly Roundup: Agentic workflows, Amazon Transcribe, AWS Lambda insights, and more (October 21, 2024)

Post Syndicated from Antje Barth original https://aws.amazon.com/blogs/aws/aws-weekly-roundup-agentic-workflows-amazon-transcribe-aws-lambda-insights-and-more-october-21-2024/

Agentic workflows are quickly becoming a cornerstone of AI innovation, enabling intelligent systems to autonomously handle and refine complex tasks in a way that mirrors human problem-solving. Last week, we launched Serverless Agentic Workflows with Amazon Bedrock, a new short course developed in collaboration with Dr. Andrew Ng and DeepLearning.AI.

Serverless Agentic Workflows with Amazon Bedrock

This hands-on course, taught by my colleague Mike Chambers, teaches how to build serverless agents that can handle complex tasks without the hassle of managing infrastructure. You will learn everything you need to know about integrating tools, automating workflows, and deploying responsible agents with built-in guardrails on Amazon Web Services (AWS) with Amazon Bedrock. The hands-on labs provided with the course let you apply your knowledge directly in an AWS environment, hosted by AWS Partner Vocareum. Find more information and enroll for free on the DeepLearning.AI course page.

Now, let’s turn our attention to other exciting news in the AWS universe from last week.

Last week’s launches
Here are some launches that got my attention:

Amazon Transcribe now supports streaming transcription in 30 additional languages – Amazon Transcribe has expanded its support to include 30 additional languages, bringing the total number of supported languages to 54. This enhancement helps you reach a broader global audience and improves accessibility across various industries, including contact centers, broadcasting, and e-learning. The expanded language support allows for more efficient content moderation, improved agent productivity, and automatic subtitling for live events and meetings.

AWS Lambda console now surfaces key function insights and supports real-time log analytics – The AWS Lambda console now features a built-in Amazon CloudWatch Metrics Insights dashboard and supports CloudWatch Logs Live Tail, providing instant visibility into critical function metrics and real-time log streaming. You can now identify and troubleshoot errors or performance issues for your Lambda functions without leaving the console, as well as view and analyze logs in real time as they become available. You can reduce context switching and accelerate the development and troubleshooting processes for serverless applications. Check out the launch post for more details.

Amazon Bedrock Model Evaluation now supports evaluating custom model import models – You can now evaluate custom models you’ve imported to Amazon Bedrock using the model evaluation feature. This helps you to complete the full cycle of selecting, customizing, and evaluating models before deploying them. To evaluate an imported model, select the custom model from the list of models to evaluate in the model selector tool when creating an evaluation job.

Amazon Q in AWS Supply Chain – You can now use Amazon Q, an interactive AI assistant, to analyze your supply chain data in AWS Supply Chain and get insights to operate your supply chain more efficiently. Amazon Q can answer your supply chain questions by diving into your data. This reduces the time spent searching for information and streamlines finding answers to improve your supply chain operations.

For a full list of AWS announcements, be sure to keep an eye on the What’s New at AWS page.

Other AWS news
Here are some additional news items and posts that you might find interesting:

New Amazon OpenSearch Service YouTube channel – The channel offers bite-sized tutorials, curated content, and organized playlists on topics such as log analytics, semantic search, vector databases, and operational best practices. You can also provide feedback to influence future channel content and the OpenSearch Service roadmap. Check out the launch post for more details and subscribe to the Amazon OpenSearch Service YouTube channel.

Deploying Generative AI Applications with NVIDIA NIM Microservices on Amazon Elastic Kubernetes Service (Amazon EKS) – This post shows you how to use Amazon EKS to orchestrate the deployment of pods containing NVIDIA NIM microservices, to enable quick-to-setup and optimized large-scale large language model (LLM) inference on Amazon EC2 G5 instances. It also demonstrates how to scale (both pod and cluster) by monitoring for custom metrics through Prometheus, and how you can load balance using an Application Load Balancer.

Instant Well-Architected CDK Resources with Solutions Constructs Factories – You can now create well-architected AWS resources such as Amazon Simple Storage Service (Amazon S3) buckets and AWS Step Functions state machines with a single function call using the new AWS Solutions Constructs Factories. These factories handle all the best practices configuration for you while still allowing customization. Try using a Constructs factory the next time you need to deploy one of the supported resources.

Upcoming AWS events
Check your calendars and sign up for these AWS events:

AWS GenAI LoftsAWS GenAI Lofts – AWS GenAI Lofts are about more than just the tech, they bring together startups, developers, investors, and industry experts. Whether you’re looking to gain deep insights, or get your questions answered by generative AI pros, our GenAI Lofts have you covered and provide everything you need to start building your next innovation. Join events in London (through October 25), Seoul (October 30–November 6), São Paulo (through November 20), and Paris (through November 25).

AWS Community DaysAWS Community Days – Join community-led conferences that feature technical discussions, workshops, and hands-on labs led by expert AWS users and industry leaders from around the world: Malta (November 8), Chile (November 9), and Kochi, India (December 14).

AWS re:Invent 2024AWS re:Invent – Registration is now open for the annual tech extravaganza, taking place December 2–6 in Las Vegas. At re:Invent 2024, you’ll get a front row seat to hear real stories from customers and AWS leaders about navigating pressing topics, such as generative AI. Learn about new product launches, watch demos, and get behind-the-scenes insights during five headline-making keynotes.

You can browse all upcoming in-person and virtual events.

That’s all for this week. Check back next Monday for another Weekly Roundup!

— Antje

This post is part of our Weekly Roundup series. Check back each week for a quick roundup of interesting news and announcements from AWS!

AWS Supply Chain update: Three new modules supporting upstream activities

Post Syndicated from Jeff Barr original https://aws.amazon.com/blogs/aws/aws-supply-chain-update-three-new-modules-supporting-upstream-activities/

We are launching three new modules for AWS Supply Chain today. These modules are designed to help you collaborate with your suppliers across all tiers of your supply chain, with the goal of helping you to maintain optimum inventory levels at each site in the chain. Here’s an overview:

Supply Planning – This module helps you to accurately forecast and plan purchases of raw materials, components, and finished goods. It uses multiple algorithms to create supply plans that include purchase orders and inventory transfer requirements.

N-Tier Visibility – This module extends visibility and collaboration beyond your enterprise’s internal systems to multiple external tiers of trading partners.

Sustainability – this module creates a more secure and efficient way for you to request, collect, and review data for carbon emissions, as well as reports on hazardous material used in the acquisition, manufacturing, transportation, and disposal of goods. You can now send data requests to multiple tiers of trading partners, track responses, send reminders to absentees, and provide a central repository to store and view responses.

Let’s take a look at each one…

Supply Planning
AWS Supply Chain already includes a Demand Planning module which uses proprietary machine learning algorithms to forecast demand and generate a demand plan that is based on two or more years of historical order line data. The forecasts are granular and specific, including distribution centers and retail outlets.

The new Supply Planning module uses the demand plan as an input. It looks at existing inventory, accounts for uncertainties, and supports additional business input including stocking strategies, ultimately generating purchase orders for components and raw materials, ready for review and approval. Here is the main page of the Supply Planning module:

The module also supports auto replenishment and manufacturing plans. The manufacturing plans work backward from a Bill of Materials (BoM) which is broken down (exploded) into individual components that are sourced from multiple direct and indirect upstream sources.

Supply Planning is done with respect to a planning horizon and on a plan schedule, both of which are defined in the organization profile:

The settings for this module also allow for customization of purchase order review and approval:

N-Tier Visibility
This module helps you to work in a collaborative fashion with your vendors, the vendors that supply your vendors, and so forth. It automatically detects vendors and sets them up for on-boarding into AWS Supply Chain. The module supports manual and EDI-powered collaboration on purchase orders, while also helping to identify discrepancies and risks, and to find substitute vendors if necessary.

The main page of the module displays an overview of my trading partners:

The Portal status column indicates that some of these partners have already onboarded, others have been invited (and one let the invite expire), and others have yet to be invited. I can click Invite partners to extend invitations. I select the partners (these have generally been auto-discovered using data in the Supply Chain Data Lake), and click Continue:

Then I enter the contact information for each partner that I selected, and click Send invites:

The contact receives an invitation via email and can then accept the invite. After they have accepted, they can receive and respond to supply plans and purchase orders electronically (via email or EDI).

Sustainability
The Sustainability module helps you to request, receive, and review compliance and sustainability data from your partners. It builds on the partner network that I already described, and tracks requests for data:

To request data, I select the type of data that I need and the partners that I need it from, then click Continue:

Then I enter the details that define my request, including a due date. I can ask the chosen partners for a text response and/or a file response:

The responses and files provided by each partner are written to the Supply Chain Data Lake and can also be exported to an Amazon Simple Storage Service (Amazon S3) bucket.

AWS Supply Chain Resources
If you are new to AWS Supply Chain and would like to learn more, here are some resources to get you started:

— Jeff;

Week in Review: Terraform in Service Catalog, AWS Supply Chain, Streaming Response in Lambda, and Amplify Library for Swift – April 10, 2023

Post Syndicated from Sébastien Stormacq original https://aws.amazon.com/blogs/aws/week-in-review-terraform-in-service-catalog-aws-supply-chain-streaming-response-in-lambda-and-amplify-library-for-swift-april-10-2023/

The AWS Summit season has started. AWS Summits are free technical and business conferences happening in large cities across the planet. This week, we were happy to welcome our customers and partners in Sydney and Paris. In France, 9,973 customers and partners joined us for the day to meet and exchange ideas but also to attend one of the more than 145 technical breakout sessions and the keynote. This is the largest cloud computing event in France, and I can’t resist sharing a picture from the main room during the opening keynote.

AWS Summit Paris keynote

There are AWS Summits on all continents ; you can find the list and the links for registration here https://aws.amazon.com/events/summits. The next on my agenda are listed at the end of this post.

These two Summits did not slow down our services teams. I counted 44 new capabilities since last Monday. Here are the few that caught my attention.

Last Week on AWS

AWS Lambda response streaming – Response streaming is a new invocation pattern that lets functions progressively stream response payloads back to clients. You can use Lambda response payload streaming to send response data to callers as it becomes available. Response streaming also allows you to build functions that return larger payloads and perform long-running operations while reporting incremental progress (within the 15 minutes execution period). My colleague Julian wrote an incredibly detailed blog post to help you to get started.

AWS Supply Chain Now Generally Available – AWS Supply Chain is a cloud application that mitigates risk and lowers costs with unified data and built-in contextual collaboration. It connects to your existing enterprise resource planning (ERP) and supply chain management systems to bring you ML-powered actionable insights into your supply chain.

AWS Service Catalog Supports Terraform Templates – With AWS Service Catalog, you can create, govern, and manage a catalog of infrastructure as code (IaC) templates that are approved for use on AWS. You can now define AWS Service Catalog products and their resources using either AWS CloudFormation or Hashicorp Terraform and choose the tool that better aligns with your processes and expertise.

Amazon S3 enforces two security best practices and brings new visibility into object replication status – As announced on December 13, 2022, Amazon S3 is now deploying two new default bucket security settings by automatically enabling S3 Block Public Access and disabling S3 access control lists (ACLs) for all new S3 buckets. Amazon S3 also adds a new Amazon CloudWatch metric that can be used to diagnose and correct S3 Replication configuration issues more quickly. The OperationFailedReplication metric, available in both the Amazon S3 console and in Amazon CloudWatch, gives you per-minute visibility into the number of objects that did not replicate to the destination bucket for each of your replication rules.

AWS Security Hub launches four security best practices – AWS Security Hub has released 4 new controls for its National Institute of Standards and Technology (NIST) SP 800-53 Rev. 5 standard. These controls conduct fully-automatic security checks against Elastic Load Balancing (ELB), Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Redshift, and Amazon Simple Storage Service (Amazon S3). To use these controls, you should first turn on the NIST standard.

AWS Cloud Operation Competency Partners – AWS Cloud Operations covers five fundamental solution areas: Cloud Governance, Cloud Financial Management, Monitoring and Observability, Compliance and Auditing, and Operations Management. The new competency enables customers to select validated AWS Partners who offer comprehensive solutions with an integrated approach across multiple areas.

Amplify Library for Swift on macOS – Amplify is an open-source, client-side library making it easier to access a cloud backend from your front-end application code. It provides language-specific constructs to abstract low-level details of the cloud API. It helps you to integrate services such as analytics, object storage, REST or GraphQL APIs, user authentication, geolocation and mapping, and push notifications. You can now write beautiful macOS applications that connect to the same cloud backend as their iOS counterparts.

X in Y Jeff started this section a while ago to list the expansion of new services and capabilities to additional Regions. I noticed 11 Regional expansions this week:

Upcoming AWS Events
And to finish this post, I recommend you check your calendars and sign up for these AWS-led events:

Dot Net Developer Day.Net Developer Day – .NET Enterprise Developer Day EMEA 2023 (April 25) is a free, one-day virtual conference providing enterprise developers with the most relevant information to swiftly and efficiently migrate and modernize their .NET applications and workloads on AWS.

AWS re:Inforce 2023 – Now register AWS re:Inforce, in Anaheim, California, June 13–14. AWS Chief Information Security Officer CJ Moses will share the latest innovations in cloud security and what AWS Security is focused on. The breakout sessions will provide real-world examples of how security is embedded into the way businesses operate. To learn more and get the limited discount code to register, see CJ’s blog post of Gain insights and knowledge at AWS re:Inforce 2023 in the AWS Security Blog.

AWS Global Summits – Check your calendars and sign up for the AWS Summit close to where you live or work: Seoul (May 3–4), Berlin and Singapore (May 4), Stockholm (May 11), Hong Kong (May 23), Amsterdam (June 1), London (June 7), Madrid (June 15), and Milano (June 22).

AWS Community Day – Join community-led conferences driven by AWS user group leaders close to your city: Lima (April 15), Helsinki (April 20), Chicago (June 15), Manila (June 29–30), and Munich (September 14). Recently, we have been bringing together AWS user groups from around the world into Meetup Pro accounts. Find your group and its meetups in your city!

You can browse all upcoming AWS-led in-person and virtual events, and developer-focused events such as AWS DevDay.

Stay Informed
That was my selection for this week! To better keep up with all of this news, don’t forget to check out the following resources:

That’s all for this week. Check back next Monday for another Week in Review!

— seb

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS!