Amazon Web Services’ annual event, re:Invent, held in Las Vegas was an experience specifically curated for AWS Partners and prospective partners. With a huge array of business-focused breakout sessions, hands-on workshops and technical chalk talks – attendees gained insights on how to build customer solutions more using AWS services. Partners also got to know about the AWS Partner Network (APN) programs that can help them differentiate their business to reach new customers faster.
AWS announced a bunch of new updates to their partner programs at re:Invent 2022. If you’re just starting or expanding your business using AWS services, there are a lot of different programs to help you do that.
Key announcements at AWS re:Invent 2022
The AWS Partner Profitability Framework is an intuitive and reliable way for partners to maximize business value with the AWS Partner Network.
According to a study by Canalys, for every dollar of AWS revenue, partners generated a multiple based on their activities, cloud maturity, and business models. AWS Partners who achieve profitable growth have deeper AWS engagement and offer a wide range of services and support.
Whether partners are reselling, offering services, co-selling, or a combination of these, those having a full stack of professional services and the most diversified offerings can earn a $6.40 multiplier per $1 AWS sold.
The AWS Partner Profitability Framework helps optimize the partner journey so that they can provide more value and deepen their expertise in various business models. This will help them grow and be more profitable.
As the demand for conversational AI (CAI) interfaces grows, more organizations are developing chatbots, voice assistants, and interactive voice response (IVR) solutions to improve user satisfaction, reduce operational costs, and streamline business processes.
The new AWS Conversational AI Competency, which will be launched in Q1 2023, helps enterprises implement a high-quality, highly effective chatbot, virtual assistant, and IVR solutions leveraging the expertise of AWS Partners.
AWS Conversational AI Competency Partners help customers:
- select use cases
- define Natural Language Understanding (NLU) intents and training phrases
- design effective conversational flows
- integrate backend services
- test, monitor, and measure in an iterative approach
The AWS Glue Delivery specialization helps customers find validated AWS Partners having expertise and proven success in delivering AWS Glue for data integration, data pipeline, and data catalog use cases.
AWS Glue is a scalable, serverless data integration service. It makes it easier to discover, prepare, and combine data for analytics, machine learning, and application development. It helps customers focus on high-value activities that maximize the value of their data.
Amazon SageMaker makes it easier for people to use machine learning. It does this by helping to get the data ready, making the training process faster, and providing tools that are built for productivity. In addition, Amazon SageMaker Ready helps customers identify software solutions that work well with Amazon SageMaker. This makes it easier for them to solve problems and innovate with machine learning.
AWS announced the Amazon Managed Streaming for Apache Kafka (MSK) Delivery specialization to help customers find validated AWS Partners who can successfully deliver migrations and build solutions on Amazon MSK.
Amazon MSK is a fully managed service that simplifies building and running applications that use Apache Kafka to process streaming data.
Amazon MSK Serverless makes getting started with Apache Kafka easier. It can automatically provision and scale compute and storage resources. It offers throughput-based pricing, so customers can use Apache Kafka on demand and pay only for the data they stream and retain.
Amazon MSK Delivery Partners are experts in quickly integrating Amazon MSK with other AWS services to get better real-time analytics.
The new AWS Data Exchange for AWS Lake Formation feature enables data-driven organizations to easily integrate third-party data products procured via AWS Data Exchange into their data mesh.
Subscribers will be able to access the Lake Formation objects shared directly from the provider’s data lake. They do not need to build extract-transform-load (ETL)/extract-load-transform (ELT) pipelines to move the data.
After a subscription is approved, data lake administrators can give subscribers access to the data on these tables. Business analysts or data scientists can then use analytics services like Amazon Athena, AWS Glue DataBrew, Amazon QuickSight, and Amazon SageMaker to query, analyze, and visualize the data or run machine learning algorithms.
Amazon has announced that the AWS Marketplace Vendor Insights is now generally available in all public AWS Regions where AWS Marketplace is available. Customers and sellers will now be able to streamline the complex third-party software risk assessment process by enabling sellers to make security and compliance information in AWS Marketplace.
A unified web-based dashboard provides governance, risk, and compliance (GRC) teams access to security and compliance information like data privacy and residency, application security, and access control. Vendor Insights helps buyers by efficiently validating that third-party software meets their business compliance needs.
Vendor Insights also serves sellers who want a strong security posture and reduces the operational burden of responding to buyer requests for risk assessment information.
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