Category: Artificial Intelligence
AWS Partner Generative AI Playbook, Partner Marketing Kits, Customer Journey Insights, and Market Data
AWS launched a Generative AI Center of Excellence to help partners keep pace with rapid advancements in generative AI. The CoE provides exclusive resources like playbooks, trainings, and marketing assets to educate partners on building solutions using AWS generative AI services. We’ll continue adding generative AI resources to accelerate strategies that enable partners to help customers adopt generative AI securely, responsibly, and cost-effectively.
Organizations face challenges managing and sharing knowledge. Traditionally, employees waste time searching documents or asking experts for guidance. AI assistants address this by quickly providing relevant, personalized responses. As Cognizant’s HR assistant use case shows, generative AI solutions enable self-service access to tailored knowledge that can reshape workplace efficiency by streamlining processes, reducing response times, and empowering employees.
Generative AI has lowered the barriers for many users on how foundation models (FMs) are used to transform products and experiences across industries. Ray is an open source, unified compute framework that makes it easy to scale AI and Python workloads, while provides a fully managed service and allows organizations of all sizes to accelerate building generative AI applications on AWS. Recently, open-source Ray integration with AWS machine learning accelerators was announced.
Thank you for joining us in Las Vegas for AWS re:Invent 2023. We hope you enjoyed all of the educational content and big announcements. If you missed anything or just want to recap, we have rounded up the most relevant launches and program updates available for the AWS Partner and AWS Marketplace communities, including the AWS Partner Keynote with Ruba Borno, which showcased how AWS is improving the partner experience to guide partners to higher-value opportunities and longer-term success.
The rise of IoT has brought a proliferation of connected devices, with more convenience and efficiency for enterprise and end users. Microcontrollers are pivotal to deploying and running AI at the edge, and AWs is collaborating with STMicroelectronics, a leading microcontroller manufacturer, and LACROIX, a leader in smart city solutions, to simplify Edge AI adoption. We’ll highlight the critical role of each partner in making edge computing commercially viable across use cases and industries.
Sports organizations possess a vast amount of data about fans which can be used to generate actionable insights. The ability to send personalized marketing to fans increases satisfaction and loyalty while enabling the team to cross-sell and drive revenue. Learn how Slalom‘s fan engagement data platform accelerator ingests and presents fan data in a centralized layer and empowers organizations to focus on segmentation and insight. The platform is based upon Slalom’s experience with a Premier League football club.
In a recent webinar, Slalom and AWS showcased the incredible potential of chat-based enterprise search powered by AWS generative AI services like Amazon Bedrock. We’re excited to share key takeaways and a more in-depth exploration of the transformative landscape that chat-based search creates. Learn how technologies like Amazon Bedrock empower businesses to build intelligent chat-based interfaces that allow employees to interact with company data conversationally.
Liveline Technologies: Artificial Intelligence Innovation in Manufacturing with AWS SaaS Factory Support
Delve into Liveline Technologies and its provision of factory-scale automation for manufacturers. Liveline Technologies swiftly generate AI-based controllers, adjusting equipment parameters in real-time across entire production lines. Learn how it leveraged support from the AWS SaaS Factory team to develop solutions that yield tangible benefits for customers, reducing scrap, waste, and energy usage while enhancing product quality, minimizing unplanned downtime, and boosting productivity.
Leveraging Neo4j and Amazon Bedrock for an Explainable, Secure, and Connected Generative AI Solution
Neo4j is a graph data platform that, together with Amazon Bedrock, offers a compelling value add to any enterprise. Learn about the knowledge retrieval and extraction processes and review a couple of retrieval augmented generation (RAG) application architectures. Using Amazon Bedrock and Neo4j, you can simplify the knowledge extraction process which can be more complex and manual using traditional NLP libraries.
At AWS, we believe our partners are well-positioned to support specialized customer needs, either through providing consultative support or specialty business applications with integrated generative AI capabilities. This is why we are introducing the Generative AI Center of Excellence (CoE) for AWS Partners. It’s a digital experience open to all partners within the AWS Partner Network (APN). Learn how the CoE delivers optimized learning paths to implement generative AI solutions for customers.