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ai, Amazon Bedrock, Amazon S3 Storage, Amazon SQS, automation, aws, aws-lambda, healthcare, test automation framework, test automation
Data extraction from fax using AI in Amazon Bedrock
Think faxes are a thing of the past? Not in healthcare. Every month this U.S.-based platform that helps patients, doctors, and imaging centers manage imaging procedures online was buried under thousands of referrals, notes, and reports. The result was hours of manual entry that slowed growth and made scaling impossible without hiring more people. We […]
ai, Amazon Bedrock, healthcare, automation, data-integration, Application Development, Amazon SQS, application-modernization, architecture, aws, aws-lambda, Amazon S3 Storage, MySQL, Amazon S3, node.js, react, Redis
Modern healthcare scheduling powered by AWS
For a long time in the U.S., getting an imaging procedure scheduled was harder than it needed to be. Patients often had to call around to find an available slot, physicians sent referrals by fax, and imaging centers had to juggle these requests manually. The result was delays, frustration, and a lot of wasted effort. […]
ai, LLM, prompt-management, chatgpt, claude, Amazon Titan, llama, Amazon Bedrock, cost-optimization, NLP
How to select LLM for SQL generation
Imagine a scenario where a data analyst needs to generate SQL queries to extract specific information from a complex data warehouse, but without deep knowledge of SQL. Our goal was to create an AI assistant that translates natural language to SQL, and we wanted to find the optimal large language model (LLM) for this task. […]
AWS Confirms The High Quality of Our GenAI Solutions
At ABCloudz, we are committed to delivering quality and trustworthiness in every solution we create. Recently, two of our AI-powered solutions, Natural Language Interface for Data Platform and AI Text Classification and Matching, successfully passed the rigorous AWS Foundational Technical Review (FTR). This achievement validates our technical expertise and reinforces our commitment to delivering reliable, […]
Natural Language Interface for Data Platform
Imagine a business analyst whose task is to extract necessary information from a data warehouse to generate various reports. They need to be proficient in crafting SQL queries of any complexity—a challenging and time-consuming feat that requires deep understanding of database structures and SQL language. But what if this business analyst had an AI assistant […]
AI Text Classification and Matching for Better Decisions
Picture this: You have an AI-powered assistant that helps manage your team’s growth. It works with three types of text data: job descriptions, employee skills, and training programs. You give it a job description and an employee’s skill set, and it pinpoints the perfect training programs to bridge any skill gaps. It’s like having a […]
ABCloudz Achieves Microsoft’s Data & AI Solutions Partner Designation
Data is the lifeblood of any business. The ability to extract insight and value from data plays a critical role in determining long-term success. Efficient data utilization can drive streamlined business processes, reduce waste, and enable well-informed strategic decisions. With the advent of cloud-powered AI and analytics tools, organizations now have unprecedented access to transformative […]
ai, LLM, RAG, Amazon Bedrock, chatgpt, Embeddings, aws, Application Development, GenerativeAI, prompt-management
Calculate the Total Cost of a RAG-Based Solution
This blog post examines the operational expenses of the AI-powered chatbot solution introduced in our previous blog posts, Custom AI chatbot using RAG and Deployment of AI-Powered Chatbot. This solution operates on the AWS cloud while integrating OpenAI’s language model. We will discuss the financial aspects of infrastructure costs and analyze how to estimate expenses […]
CI/CD, deployment, devops, ai, chatgpt, Amazon Bedrock, Amazon RDS, aws, LLM, RAG, Embeddings, Neo4j, PostgreSQL, Amazon ECR, backend, GenerativeAI, prompt-management
Deployment of AI-Powered Chatbot
This blog post focuses on the architecture and deployment of the AI-powered Chatbot solution that we described in our earlier blog post Custom AI Chatbot Development Using RAG. This solution is built for the AWS cloud but uses OpenAI as an LLM. We’ll dive deep into the CI/CD process and AWS deployment architecture of the […]
ai, chatgpt, GenerativeAI, prompt-management, LLM, Amazon Bedrock, AWS, RAG, Amazon RDS, Neo4j, PostgreSQL, Embeddings, GraphDB, VectorDB
Custom AI Chatbot Development Using RAG
You have probably seen and heard about AI-powered chatbots that can converse with the user about website content, or some piece of knowledge related to a company. The world is full of buzz on all things AI, with chatbots driving the headlines. In this article, we’ll share our experience building a full-blown solution from scratch […]
Integrating AI into Bionic Hands
In previous blog posts, we provided a functional overview and delved into the technical details of Alt-Bionics’ affordable prosthetic hand, outlining the journey from concept to a product ready for commercial release. What does it take to train an AI to interpret the unique language of muscle signals? This chapter peels back the curtain on the […]
Best Open-Source Tools for AI Video Enhancement
In the ever-evolving landscape of digital content, achieving impeccable video quality has become more than just a desire; it’s a necessity. As you delve into the world of AI video enhancement, you might find yourself amidst a sea of options. Navigating this space, especially if you’re embarking on app development or seeking to elevate your […]
Real-Time Object Detection and Classification in Sports Using AI and Computer Vision
Imagine being able to quickly recognize the positions of players and referees, grouped by their respective teams, while watching a live soccer, popularly also known as football in various other parts of the world. This is no longer just a pipe dream, but rather a reality, thanks to developments in AI and computer vision technologies. […]
chatgpt, LLM, RAG, GenerativeAI, prompt-management, ai, ml, Embeddings, PostgreSQL, Redis, LangChain, ai-model-training
Building an Intelligent Chatbot with OpenAI LLM using RAG
Chatbots as they come are not something new under the sky. They have populated the web since long ago leaving behind an impressive trail of user annoyance and frustration. Wild repetitions, endless question-answer loops, and downright stupidity were the common laments to splash in jokes among the cubicle drones. The only improvements seemed to be […]
Keyword spotting on embedded device demo
In this article, I will share my experience setting up a software demo project for a device, which can recognize and act on certain voice commands. The solution will be used to evaluate the feasibility of using ML (Machine Learning) approach to detect keywords in a constrained environment. Our demo is quite simple conceptually: a […]