Cloud services and certifications
We boost your business with flexible, secure cloud infrastructure, guiding you from migration to optimization.
Elevate your business with Cloud Services.
In an era of rapid digital transformation, cloud technology is essential for staying competitive. Cloud Services provide the scalable, secure infrastructure your business needs to adapt quickly to changing market demands.
Whether you’re migrating to the cloud, optimizing your existing environment, or building a hybrid solution, our comprehensive consulting services help you achieve the flexibility and agility needed to thrive.
A Cloud platform brings enhanced scalability, cost-efficiency, and improved collaboration.
Our Cloud & AI Partners.
Artefact is tech agnostic and we team up with industry biggest names.
We are tech-agnostic, working with all cloud, hybrid and on-premise client infrastructures.
Artefact is a Certified Partner for both Google platforms:
Google Marketing Platform (GMP) & Google Cloud Platform (GCP).
Introducing SKAFF, our open source platform of AI accelerators.
SKAFF is composed of independent and reusable AI enablers. You can imagine these accelerators almost like Lego bricks, with each piece performing a task such as pre-built connectors, libraries and models.
We have packaged these “bricks” to be reused as necessary — so they can be configured and efficiently assembled by our clients. Our solution can be seamlessly integrated into existing legacy systems for fast scalability and also to boost data power.
Medium blog articles by our tech experts
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis
Neural metrics for machine translation (MT) evaluation have become increasingly prominent due to their superior correlation with human judgments compared to traditional lexical metrics
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning
Discrete choice models aim at predicting choice decisions made by individuals from a menu of alternatives, called an assortment. Well-known use cases include predicting a...
The era of generative AI: What’s changing
The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact...
How Artefact managed to develop a fair yet simple career system for software engineers
In today’s dynamic and ever-evolving tech industry, a career track can often feel like a winding path through a dense forest of opportunities. With rapid...
Why you need LLMOps
This article introduces LLMOps, a specialised branch merging DevOps and MLOps for managing the challenges posed by Large Language Models (LLMs)...
Unleashing the Power of LangChain Expression Language (LCEL): from proof of concept to production
LangChain has become one of the most used Python library to interact with LLMs in less than a year, but LangChain was mostly a library...
How we handled profile ID reconciliation using Treasure Data Unification and SQL
In this article we explain the challenges of ID reconciliation and demonstrate our approach to create a unified profile ID in Customer Data Platform, specifically...
Snowflake’s Snowday ’23: Snowballing into Data Science Success
As we reflect on the insights shared during the ‘Snowday’ event on November 1st and 2nd, a cascade of exciting revelations about the future of...
How we interview and hire software engineers at Artefact
We go through the skills we are looking for, the different steps of the process, and the commitments we make to all candidates.
Encoding categorical features in forecasting: are we all doing it wrong?
We propose a novel method for encoding categorical features specifically tailored for forecasting applications.
How we deployed a simple wildlife monitoring system on Google Cloud
We collaborated with Smart Parks, a Dutch company that provides advanced sensor solutions to conserve endangered wildlife...
Deploying Stable Diffusion on Vertex AI
This article provides a guide for deploying Stable Diffusion model, a popular image generation model, on Google Cloud using Vertex AI.
