AI Solutions

Prologis has significantly enhanced its operational processes by integrating Dataiku, a platform that democratizes AI, enabling analysts without coding expertise to develop and deploy models. This transformation began with moving their data management to a cloud-based system using Snowflake, which increased analytics modernization. With Dataiku, Prologis has expanded its AI… Read more: Democratizing AI with Dataiku, leveraging AutoML features to enable analysts to build and deploy models with no coding knowledge

TechData, a wholesale company with a revenue of $35 billion, implemented a global solution to standardize credit management workflows, leading to significant savings and efficiency gains. By integrating a system that automates credit scoring, monitoring, and currency conversion for financial reporting, the company achieved a 120% improvement in credit department… Read more: Recurring savings through global standardisation of credit workflow

Comma Soft and leadity have collaborated to streamline CSRD reporting for companies, leveraging generative AI to automate the generation of sustainability reports in compliance with the ESRS standard. This solution simplifies the complex task of documenting sustainability efforts by semantically searching and structuring data, thus minimizing manual data handling and… Read more: Faster sustainability reporting with leadity & GenAI

Our client, a major manufacturer and distributor of outdoor equipment, required a centralized platform for all its data to enhance advanced analytics of customer and business data. Niologic implemented a data warehouse based on Google BigQuery and developed a time series analysis for shipping, along with a machine learning algorithm… Read more: Time series analysis for shipping outdoor equipment through data warehousing

Our project focused on automating the information extraction process from various data sources such as textual documents and database tables, utilizing Named Entity Recognition (NER) and advanced Language Models (LLMs). The main goal was to create an automated solution that could efficiently extract relevant information using NER and enrich metadata… Read more: Automating Information Extraction with Named Entity Recognition and LLMs

The “PharmaGPT” project aims to make medical information more accessible and understandable, particularly for groups such as the elderly and non-native speakers who struggle with the complex language of medicine package leaflets. To address this, a sophisticated AI-based Retrieval Augmented Generation (RAG) system was developed, capable of navigating and analyzing… Read more: Pharma GPT: Advanced Retrieval Augmented Generation with medical data