Amazon Web Services (AWS) has made significant strides in revolutionizing its Partner Core division with the introduction of a new suite of AI services and programs designed to accelerate technology modernization and enhance partner ecosystems. These initiatives are a testament to AWS’s ongoing commitment to leveraging artificial intelligence to drive innovation and collaboration among its partners. With improvements ranging from the modernization of code to the democratization of AI, AWS aims to provide its partners with advanced tools that streamline development processes and promote collective growth.
Julia Chen, Vice President of Partner Core at AWS, emphasized the transformative impact of these new AI-driven advancements in an exclusive interview with theCUBE’s Shelly Kramer during the “Cloud AWS re:Invent Coverage.” She highlighted how the shift from Java 8 to Java 17, a process that once took significant time, is now dramatically expedited thanks to the latest AI innovations. These improvements are not limited to code modernization; they also extend to faster chips and enhanced developer tools, enabling partners to achieve greater efficiency and performance. Chen expressed her excitement about these developments, noting their potential to empower developers and drive technological progress within the AWS ecosystem.
Modernizing Code and Democratizing AI
One of the key areas where AWS has made remarkable progress is in the modernization of code. AWS has introduced new tools and services that allow developers to transition from older versions of programming languages, such as Java 8, to newer ones like Java 17, in a fraction of the time previously required. This acceleration is made possible by leveraging AI technologies that automate and simplify the code migration process. By reducing the time and effort needed to modernize code, AWS is enabling its partners to stay ahead of the technological curve and maintain a competitive edge in the market.
In addition to code modernization, AWS is also focused on democratizing AI, making it more accessible to a broader range of developers and businesses. The introduction of advanced developer tools and services, such as the new Amazon Q Developer agent capabilities, is a significant step in this direction. These tools empower developers with the resources they need to build and deploy AI solutions efficiently. By democratizing AI, AWS is fostering an environment where innovation can thrive, and more partners can leverage AI to address complex challenges and create value for their customers.
Enhancing Partner Ecosystems Through Collaboration
Another central theme in AWS’s recent initiatives is the enhancement of partner ecosystems through increased collaboration and support. At AWS re:Invent, several new programs were announced, including the Business Outcomes Xcelerator Program and the Managed Services Program. These programs are designed to help partners deliver better outcomes for their clients by providing them with access to AWS’s extensive resources and expertise. Furthermore, the Buy with AWS feature allows partners to utilize the AWS Marketplace through their storefronts, simplifying the procurement process and enabling them to offer a wider range of solutions to their customers.
Chen also discussed an internal AI tool developed by AWS to assist its sellers in identifying the right partners for various opportunities. This tool streamlines the co-sell process by matching sellers with partners who have the necessary expertise and capabilities to meet specific customer needs. The Co-Sell Incentive Program further encourages AWS sellers to collaborate with eligible partners, fostering a spirit of unity and collective growth. This approach is exemplified by AWS’s partnerships with major data platforms like Datadog Inc., MongoDB Inc., and Snowflake Inc., as well as service companies such as Accenture PLC.
Comprehensive Customer-Centric Solutions
AWS’s strategy of integrating various solutions into comprehensive, customer-centric offerings is another key highlight of its recent announcements. By bringing together a diverse range of services, including modernization, generative AI, and security, AWS is creating holistic solutions that address the multifaceted needs of its customers. Chen described this integration as “nirvana,” indicating an ideal state where multiple partners collaborate seamlessly to deliver the best possible outcomes for their clients. This collaborative approach ensures that customers benefit from a wide array of expertise and technologies, leading to more effective and efficient solutions.
The focus on customer-centric solutions is evident in AWS’s continuous efforts to innovate and enhance its offerings. For instance, the Managed Services Program provides partners with the tools and resources needed to deliver high-quality managed services, enabling them to support their clients more effectively. Meanwhile, the AI-powered tools and services introduced by AWS empower partners to develop cutting-edge solutions that address specific customer needs. By prioritizing customer satisfaction and leveraging the collective capabilities of its partners, AWS is reinforcing its position as a leader in the technology industry.
Conclusion
Amazon Web Services (AWS) is making waves in its Partner Core division by unveiling a new suite of AI services and programs aimed at speeding up technology modernization and boosting partner ecosystems. These initiatives reflect AWS’s dedication to utilizing artificial intelligence to foster innovation and collaboration among its partners. Through advancements in areas such as code modernization and AI democratization, AWS seeks to provide partners with cutting-edge tools that simplify development processes and encourage shared growth.
Julia Chen, Vice President of Partner Core at AWS, detailed the transformative impact of these AI advancements in an interview with Shelly Kramer from theCUBE during the “Cloud AWS re:Invent Coverage.” She discussed how switching from Java 8 to Java 17, previously a lengthy task, is now significantly faster due to recent AI improvements. These upgrades go beyond mere code modernization; they also include faster processing chips and improved developer tools, enabling partners to attain higher efficiency and performance. Chen expressed her enthusiasm, noting the potential of these innovations to empower developers and drive technological progress within the AWS ecosystem.
