This post was co-written with Ricardo Perdigao, Solutions Architecture Manager at Mendix, a Siemens company.
Mendice, a Siemens company, delivers the low-code platform with the vision and execution designed for today's complex software development challenges. Since 2005, we've helped thousands of organizations around the world reimagine how they build applications with the cutting-edge capabilities of our platform. Mendix enables businesses to turn ideas into results by delivering sophisticated applications to market faster than ever. Mendix has been named an industry leader by Gartner and Forrester.
In a world where customer-centric innovation is the key to staying ahead of the competition, companies are increasingly turning to advanced technology to revolutionize product offerings. For Mendix, the integration of Amazon Bedrock's cutting-edge generative ai capabilities has been a game-changer by redefining the landscape of our customer experience.
In this post, we share how Mendix is revolutionizing customer experiences using Amazon Bedrock and generative ai.
General description
In 2016, a new era of innovation began when Mendix announced a strategic collaboration with AWS. By leveraging AWS's robust cloud infrastructure, Mendix was able to provide a secure, scalable, and reliable solution for businesses around the world. The primary goal of this partnership was to enable organizations to quickly and efficiently build, deploy, and manage enterprise-grade applications.
This unique collaboration combines the agility of Mendix's low-code application development platform with the robustness of AWS cloud services. This combination facilitates rapid application development and deployment, allowing businesses to respond quickly to market changes and customer demands, achieving successful digital transformation at an accelerated pace.
However, the rapid evolution of technology brings new challenges. The rise of generative ai presents a unique opportunity to redefine how applications are developed and used. Integrating these advanced ai capabilities into a low-code environment is a complex task that requires a solution that is innovative, scalable, secure and easy to use, yet delivers significant value to users.
Recognizing the importance of remaining competitive in this rapidly evolving technology landscape, Mendix is committed to enhancing its platform with seamless ai integrations. Mendix not only offers an ai-enabled low-code application development experience, but also seeks to equip our customers with easy-to-use tools necessary to implement generative ai in the solutions they create.
By combining the power of ai with the accessibility of low-code development, we are laying the foundation for unprecedented innovation in the industry, enabling our customers to create ai-enhanced applications with ease and efficiency.
The Solution: Integrate Generative ai Capabilities Provided by Amazon Bedrock
As a first step in our journey, we adopted Amazon Bedrock to infuse our low-code platform with generative ai capabilities. Amazon Bedrock offers many ai models out of the box. These models stand out for writing clear text, creating images from descriptions, and translating between different languages.
He Mendix AWS Bedrock Connector at Mendix Marketplace removes traditional complexities and streamlines the integration of generative ai within our ecosystem. This essential service, accompanied by a wealth of knowledge shared through examples and blog posts, has paved a frictionless path for integration.
Amazon Bedrock Generative ai is reshaping the landscape for low-code developers, offering a remarkable foundation to quickly create sophisticated applications that were previously only possible with extensive development time. These ai models are designed to give developers the ability to develop applications that not only learn and adapt, but do so with a depth of understanding never seen before. As we integrate these technologies into the Mendix environment, we are ushering in a new era of democratization of generative ai.
Imagine a world where applications are no longer static but can dynamically generate personalized content, such as images and interfaces, by analyzing individual user data such as browsing habits, geographic location, and time of day. This ability for generative ai to tailor experiences to each user promises to dramatically increase engagement and satisfaction. In today's data-driven business world, where the sheer volume of information can be overwhelming, generative ai stands as a powerful technology, turning complex data into accessible insights, streamlining reporting for executives, identifying trends, and predicting future outcomes. faster than ever.
Going a step further, generative ai also offers practical recommendations, not just interpretations. This feature is set to transform industries like customer service, where you can advise service agents on the best next actions or automate routine responses based on a deep understanding of customer data. By bringing these innovations to the Mendix platform, we move toward a future where applications proactively anticipate and meet user needs, turning every interaction into an opportunity for innovation and a delightful customer experience.
But our vision extends beyond the horizons of current achievements. With an eye toward redefining the fabric of low-code application development, we've immersed ourselves in pioneering research. Using the Mendix extensibility framework, we explore the potential of generative ai to transform our industry from the ground up. Our research forays have already generated interesting insights, from conjuring comprehensive domain models with simple narrative inputs to automating data mapping and sample generation with the interpretive prowess of ai. We're even about to enable Mendix UI settings through intuitive ai-powered dialogs. These nascent concepts, demonstrated in the video below, are still being experimented with. But they promise to herald a new dawn for low-code innovation in the future.
In the following sections, we discuss our needs when selecting the right platform to build generative ai and how Amazon Bedrock exceeded our expectations.
Ease of implementation
At Mendix, our various applications span text generation, summarization, virtual assistance, and multimodal imaging. Amazon Bedrock is our go-to platform for building and deploying generative ai, providing seamless access to fundamental, cutting-edge generative ai models. Its unified API simplifies experimentation and updates, facilitating quick and efficient integration of multiple models into our systems. This streamlined approach significantly reduces development and deployment efforts, improves overall efficiency, and rapidly innovates on disruptive technologies like generative ai.
Safety is our top priority
At Mendix, as we innovate, generative ai is vital to innovation, but security is critical. With Amazon Bedrock, we customize models using data labeled in Amazon Simple Storage Service (Amazon S3). We also added encryption using AWS Key Management Service (AWS KMS), Amazon Virtual Private Cloud (Amazon VPC), and AWS Private Link to establish private connectivity from a VPC to Amazon Bedrock's hardened data, security, and access, meeting our strict enterprise security. needs.
As we learned with Amazon Bedrock, a private copy of the base model is released as we tune a base model. Our data is not shared with Amazon's base models or other leading ai startups, nor is it used to improve base models. Amazon Titan and other leading ai core models from AI21 Labs, Anthropic, Cohere, Meta and Stability ai do not have access to our data (directions, completion results), ensuring responsible development and exceeding our security requirements.
Thanks to AWS and Amazon Bedrock, balancing the power of generative ai with strong security measures ensures responsible and secure development, advancing technological advancement with confidence. Amazon Bedrock exceeded our safety requirements.
Ongoing updates and support
With Amazon Bedrock, users can benefit from continuous updates and support for available models. Companies like ours have access to the latest advances and improvements in artificial intelligence technology, allowing us to stay ahead and adapt to changing market trends and demands.
We are eager to continue experimenting with the new Amazon Bedrock features announced in AWS re:Invent 2023including Amazon Bedrock Agents and Amazon Bedrock Knowledge Bases, to accelerate our generative ai innovation on AWS.
Cost effectiveness
The various model offerings on Amazon Bedrock allow you to select cost-effective large language models based on your use case. This flexibility allows companies to optimize ai investments, allocate resources efficiently, and achieve the best return on investment by choosing the most appropriate model for each use case.
Conclusion
Mendix's strategic integration of generative ai using Amazon Bedrock represents a groundbreaking move in the democratization of technological innovation. In line with our legacy of empowering businesses with agility, Amazon Bedrock enhances our platform with advanced ai, ensuring that every Mendix solution is not only current but designed for the future. We are not only adapting to the evolution of low-code development, we are pioneering it.
To learn more about how your business can use the power of Amazon Bedrock and AWS to drive innovation and revolutionize customer experiences, see Why it is essential to use Amazon Bedrock in your Mendix applications.
About the authors
Ricardo Perdigão He has worked in the enterprise software industry for almost 30 years, bringing extensive experience and innovation to his role as a solutions architect at Mendix, a high-productivity application development platform that enables the creation and continuous improvement of mobile and web applications. to scale. . In 2023, Ricardo was honored with the prestigious Mendix Innovation Award for his groundbreaking research in generative ai, further cementing his reputation as a forward-thinking technology leader.
Suresh Patnam is the leading GTM specialist in ai/ML and Generative ai at AWS. He is passionate about helping businesses of all sizes transform into fast-moving digital organizations focused on data, ai/ML, and generative ai. Suresh has an MBA from Duke University's Fuqua School of Business. In his free time, Suresh enjoys playing tennis and spending time with his family.
