Revolutionizing Drug Discovery and Development with AWS Bedrock: A JaiInfoway Breakthrough
Introduction
Since its inception, a digital travel platform has been transforming the way individuals plan their adventures. With the ambition of making global exploration seamless for everyone, this platform sought to enhance user experiences using generative artificial intelligence (AI) and premier cloud services. This case study delves into how a top-tier technology consultancy played a pivotal role in addressing challenges related to integrating Generative AI and cloud solutions, enabling the platform to provide personalized and captivating travel recommendations.
The Challenge:
The digital travel platform faced a common challenge in the travel sector – creating the perfect travel itinerary. Recognizing this as a significant hurdle in the user experience, a senior figure in a prominent travel company sought to effectively use data to connect users with extraordinary travel experiences that exceeded their expectations.
The Solution:
Generative AI and Cloud Integration: Inspired by successes in the industry, the digital travel platform decided to harness the capabilities of Generative AI, known for its innovative recommendations based on minimal input, offering fresh and unique travel suggestions. To bring this vision to life, they leveraged a leading cloud service, particularly its machine learning capabilities, to seamlessly integrate Generative AI and deliver unparalleled travel recommendations to users.
Jai Infoway's Role:
Jai Infoway played a pivotal role in this partnership by acting as the integrator and solution provider. Their responsibilities included:
- Provided comprehensive technical consultation, addressing unique project requirements.
- Developed customized models to suit the specific needs of the project.
- Expertly implemented cloud services.
- Placed a high priority on security and data privacy.
Key Contributions by Jai Infoway:
- Provided comprehensive technical consultation, addressing unique project requirements.
- Developed customized models to suit the specific needs of the project.
- Expertly implemented cloud services.
- Placed a high priority on security and data privacy.
Technologies Used:
- Amazon Bedrock: A fully managed service offering access to foundational AI models via an API, equipped with a wide range of capabilities for the rapid development and scaling of generative AI applications.
- Antropic Claude v2: A substantial language model (LLM) trained on an extensive dataset of text and code, capable of text generation, language translation, creative content creation, and informative question-answering.
- Amazon Kendra: A fully managed intelligent search service utilizing machine learning to discover relevant information across the enterprise.
- S3: A highly scalable, durable, and available object storage service.
- Lambda: A serverless compute service enabling code execution without server provisioning or management.
- Lex: A fully managed service facilitating the creation of conversational interfaces in applications.
- IAM: A cloud identity and access management service designed to manage users and permissions in AWS.
Step-by-Step Architecture Flow:
A user interacts with the application, sending a request to AWS Bedrock. AWS Bedrock analyzes the request and determines the appropriate action. If the request pertains to text generation, AWS Bedrock triggers an AWS Lambda function that utilizes Antropic Claude v2 for generating text. A Lambda function is set up specifically for text generation using Antropic Claude v2 with AWS Bedrock. The Lambda function may also make use of AWS Kendra for searching relevant enterprise information. The Lambda function returns the generated text or pertinent information to AWS Bedrock. An IAM role is established for the Lambda function, ensuring the necessary permissions for accessing Antropic Claude v2 through AWS Bedrock. The AWS Bedrock service is fully configured and operational.
Pattern:
The architecture and workflow detailed above adhere to the following pattern:
- Serverless: The application harnesses the power of AWS Bedrock, eliminating the necessity for server provisioning and management.
- Microservices: The application is organized into microservices, each fulfilling a distinct role, promoting scalability and resilience with the help of AWS Bedrock.
- Event-Driven: The application functions in response to events, promptly addressing user requests and other triggers, without adhering to a fixed schedule, ensuring heightened responsiveness and efficiency through AWS Bedrock.
Conclusion:
In the end, we take great pride in the project’s exceptional performance and results. Our profound comprehension of your needs, coupled with our proactive approach, not only met but exceeded project expectations, leading to a significant enhancement in the user experience
Industry - Pharmaceutical
Technology Leveraged
- Google VertexAI
- Generative AI
- Google Cloud
- Unified Search AI and Conversational AI Applications