Laboratory Management

Case study

Enterprise AI in One Business Day

KAUST logo
The Client, a Fortune 500 corporation, wanted to utilize OpenAI’s ChatGPT service so its employees and customers could access, analyze, and compile proprietary information using the service’s renowned system of user-friendly, conversational prompts.
The Client, a Fortune 500 corporation, wanted to utilize OpenAI’s ChatGPT service so its employees and customers could access, analyze, and compile proprietary information using the service’s renowned system of user-friendly, conversational prompts.

However, because it was a large, publicly traded company, the security of its proprietary data was paramount; any implementation would need to protect its data, prompts, and responses. Fortunately, Microsoft’s new Azure OpenAI Service could allow them to create an isolated environment of OpenAI and maintain enterprise security. 

Using this Enterprise AI service, the Client could place content into selected folders on its own cloud servers, allow the Azure OpenAI Service to index them, and then send prompts and responses to users without exposing the data to anyone outside the corporation.

KAUST’s 200 faculty and 1,000 graduate students undertake cutting-edge research in the areas of energy, agriculture, ecology, and computing.

With such rapid growth, KAUST needed a way to allow their faculty to reserve 20 shared laboratories.​
The PROBLEM

Incompatible Scheduling Systems

The Client had an extensive Microsoft Azure relationship, but its in-house engineers had no experience with the OpenAI system. Eager to move forward quickly with an implementation so they could begin designing both internal- and customer-facing products, they asked Tricon Infotech to assist. 
Tricon Infotech’s engineers, who were already familiar with the system, quickly navigated the Azure system to request a new OpenAI account for the Client. By Friday, they received the OpenAI credentials. Then they customized an existing Azure template (especially the front-end) and pushed a CI/CD deployment to the Azure Cloud.
The PROBLEM

Incompatible Scheduling Systems

KAUST also had a unique challenge: Given the desert climate along the Red Sea, the laboratories had to be temperature-optimized to support the needs of each research program.
There was no available automated scheduling system that was compatible with their enterprise SAP system.
By Monday, the application was live.
The Client now had a private, enterprise ChatGPT instance that was available only to its employees, customers, or other designated users, would utilize only documents that it approved, and keep all the prompts, responses, and data private to the Client. The new instance forms the basis for the development and release of new, innovative AI-powered applications.
The SOLUTION

Enter Tricon Infotech

KAUST hired software engineering company Tricon Infotech to design a solution.

Case study

Bringing Automation to University Laboratories

KAUST logo
Case study

Bringing Automation to University Laboratories

KAUST logo
Introduction

About KAUST

King Abdullah University of Science & Technology (KAUST) is a private English-speaking university near Jeddah, Saudi Arabia.

Since its founding in 2009, its research output has made it one of the fastest rising universities in the world.

Introduction

About KAUST

King Abdullah University of Science & Technology (KAUST) is a private English-speaking university near Jeddah, Saudi Arabia.

Since its founding in 2009, its research output has made it one of the fastest rising universities in the world.

KAUST’s 200 faculty and 1,000 graduate students undertake cutting-edge research in the areas of energy, agriculture, ecology, and computing.

With such rapid growth, KAUST needed a way to allow their faculty to reserve 20 shared laboratories.

KAUST’s 200 faculty and 1,000 graduate students undertake cutting-edge research in the areas of energy, agriculture, ecology, and computing.

With such rapid growth, KAUST needed a way to allow their faculty to reserve 20 shared laboratories.​
The PROBLEM

Incompatible Scheduling Systems

KAUST also had a unique challenge: Given the desert climate along the Red Sea, the laboratories had to be temperature-optimized to support the needs of each research program.

There was no available automated scheduling system that was compatible with their enterprise SAP system.

The PROBLEM

Incompatible Scheduling Systems

KAUST also had a unique challenge: Given the desert climate along the Red Sea, the laboratories had to be temperature-optimized to support the needs of each research program.
There was no available automated scheduling system that was compatible with their enterprise SAP system.
The SOLUTION

Enter Tricon Infotech

KAUST hired software engineering company Tricon Infotech to design a solution.

Utilizing its extensive SAP expertise, Tricon built and implemented a custom JAVA-based system to automate the laboratory reservations.

The SOLUTION

Enter Tricon Infotech

KAUST hired software engineering company Tricon Infotech to design a solution.

Utilizing its extensive SAP expertise, Tricon built and implemented a custom JAVA-based system to automate the laboratory reservations.

Now the faculty can reserve shared, temperature optimized rooms to undertake their research without having to compete for resources.

Now the faculty can reserve shared, temperature optimized rooms to undertake their research without having to compete for resources.

Ongoing Support

A long-term partnership

Tricon Infotech continues to manage the ongoing support to ensure consistent operations for KAUST’s faculty and students.

Ongoing Support

A long-term partnership

Tricon Infotech continues to manage the ongoing support to ensure consistent operations for KAUST’s faculty and students.