AI & ML
In a fast-changing world where technology is making the unthinkable possible, one must acquire the ability to forecast trends and take daring leaps; to remain ahead of the curve, it is essential to develop a sixth sense that helps you see, hear and understand what others don’t. Our objective, through our work in AI & ML, is exactly that – lending sixth sense to a business by leveraging advanced analytics, machine learning and statistical modelling to make way for boundless innovation and evolution.
Blogs
Leveraging Large Language Models in Real-time Ad Bidding and Placement: Possible Perspectives for Enhanced User Targeting
Written by Oshin Anand and Kulbhushan Singhal Introduction In the ever-evolving digital advertising landscape, Real-Time Bidding (RTB) is a cornerstone of modern ad placement strategies. The integration of Large Language Models (LLMs) such...
Exploring LoRA – Part 2: Analyzing LoRA through its Implementation on an MLP
“The How of Parameter-Efficient Fine-Tuning with LoRA: Exploring the Inner Workings” Part 1 delves into the concept and necessity of fine-tuning pre-trained large models for specialized tasks. It introduces the conventional method of fine-tuning,...
Exploring LoRA — Part 1: The Idea Behind Parameter Efficient Fine-Tuning and LoRA
What is the necessity of fine tuning? Pre-trained large language models undergo extensive training on vast data from the internet, resulting in exceptional performance across a broad spectrum of tasks. Nonetheless, in most...
Soaring to New Heights: AI, Machine Learning, and Data Strategy in the Airline Industry
Written by Ravindrababu T and mckimmer In the fiercely competitive airline industry, the race to deliver a frictionless passenger experience is on. Air travel, once merely about getting from A to B, is now a journey...
Data-Driven Customer Insights: A New Altitude for Airline Revenue Management and Retail Pricing
The aviation industry, with its dynamic pricing and complex service delivery, presents a fertile ground for AI driven data insights to revolutionize customer experience and revenue management. Understanding customer behavior through meticulous data...
That state-of-the-art LLM embedding may not work for your use case — here is why
With LLM embedding-based applications, it’s quite easy to understand and apply semantic meaning in machine learning algorithms. For example, you can use text embedding to feed to a classifier for rating user sentiment...
How to Adopt LLMs in your business: A Complete Guide
It is a deceptively simple construct — an LLM(Large language model) is trained on a huge amount of text data to understand language and generate new text that reads naturally. The model is...
Generative AI in Software Architecture: Don’t Replace Your Architects Yet!
This article is part of a series where we explore how Generative AI can be utilized for the various stages in the software development lifecycle. You can read this post about the methods and tools...
Enhancing Domain-Driven Design with Generative AI
Creating robust and maintainable applications that align closely with business requirements is a constant challenge in software development. Domain-Driven Design (DDD) has been quite successful in tackling this challenge. By placing the domain...
An Agile Kickstart with Generative AI for Business Analysis
Leveraging artificial intelligence (AI) tools can significantly expedite the business analysis process. By utilising advanced AI models like GPT, analysts can quickly analyse problem statements, define high-level features and objectives, and generate epics...
Optimising Software Engineering Practises with AI
In the world of software development, Generative AI has been a topic of both excitement and concern. Its potential to automate and enhance various aspects of the development process raises questions about its...
Test Driven Generation — Use AI as a pair for programming.
Written by Amitb and Vighnesh Pathrikar Have you ever found yourself struggling to refactor your code to adhere to SOLID principles or convert user requirements into code? Did TDD or Test-Driven Development feel slow? Have you...
Introduction to Optimisation Problems in e-Commerce Supply Chain
The e-Commerce industry is a fertile ground for Data Science problems. The data science models are adapted by the internet commerce to achieve improved efficiency as well as better customer experience. In this...
Genetic Algorithms in Pattern Recognition
Through the years, Nature inspired computing [1] has been adapted by the computer science community to address challenging real-life problems. Biology-inspired and Physics-inspired processes have a huge influence on computer science, optimisation and...
Knowledge graphs from complex text
The trick is to make everything simple ! Knowledge graphs are becoming increasingly popular with different applications in AI, due to their ability to render a cognitive representation of unstructured data, that readily...
Data science-led, game-changing solutions to disrupt OOH media
Out Of Home advertising has seen rapid growth in the UK. In 2019, OOH advertising revenue rose 7.6% from 2018 to £1.3bn. However, OOH, by and large, has operated as an offline channel...
The impact of the evolution of data on business
At the turn of the century, the internet made remote learning a reality. Propelled by the advent of cloud computing and AI coupled with burgeoning global internet penetration, the e-learning market grew at...
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