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.

Why move to the Cloud?

Why Move To The Cloud? From Cost Savings To Enhanced Scalability

  • Scalability and Flexibility: Quickly scale your IT resources to match business needs, ensuring you can respond rapidly to market changes.
  • Cost Efficiency: Reduce capital expenditures by shifting to an operational expenditure model, paying only for the resources you use.
  • Enhanced Security: Benefit from the latest security technologies and best practices provided by leading cloud providers.
  • Business Continuity: Ensure high availability and disaster recovery capabilities, minimizing downtime and protecting critical data.
We are your trusted partner in Cloud transformation

We Are Your Trusted Partner In Cloud Transformation

  • Certified with all major Cloud platforms: We are tech-agnostic working with all cloud providers, AWS, Microsoft Azure, Google Cloud, IBM, OVH, etc and all open source platforms.
  • Cloud Readiness Assessment: We evaluate your current IT environment to determine the best path to cloud adoption.
  • Cloud Migration: We seamlessly transition your data, applications, and processes to the cloud with minimal downtime.
  • Hybrid and Multi-Cloud Solutions: We design and implement flexible solutions that combine public and private cloud resources for optimal performance.
  • Cloud Optimization: We continuously improve your cloud infrastructure’s performance, security, and cost-effectiveness.

Our Cloud & AI Partners.

Artefact is tech agnostic and we team up with industry biggest names.

Google Cloud
Azure
AWS
Open Source
Open Source
Open Source

We are tech-agnostic, working with all cloud, hybrid and on-premise client infrastructures.

all-Clouds

Artefact is a Certified Partner for both Google platforms:
Google Marketing Platform (GMP) & Google Cloud Platform (GCP).

Certified-Partner

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.

SKAFF

Medium blog articles by our tech experts

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.

All you need to know to get started with Vertex AI Pipelines

Presentation of a tool that demonstrates, practically, our experience using Vertex AI Pipelines in a project running in production.