We will help you build up a culture of collaboration between, originally, two isolated teams : Software development teams and Operations teams(deployment/infrastructure ...)
Our main goal is to improve the efficiency of your software development life cycle by eliminating the boundries between these 2 phases and introducing automation.
Our CI (Continuous Integration) processes will allow you to build pipelines that seamlessly automate the processes associated to the coding, building, integration, and testing operations.
Our CD processes refer to Continuous Delivery and/or Deployment:
Faster development by leveraging automation tools and techniques
Better communication and collaboration between teams within a stable workspace make them more efficient.
CI/CD allow for safe changes and updates while taking into account user feedback quickly and effectively
Provide agility to businesses to allow to scale quickly and stay ahead the market
Eliminate problems related to siloed and isolated IT systems and enjoy greater visibility into system outcomes
Cutting down in management and production costs
We will help you integrate security methods into the DevOps processes from the very start of the SDLC
- Secure code by design through secure coding practices, secure developer environments, and automated security tests
- Enforcing code compliance and integrating policy enforcement directly into CI/CD pipelines for better governance
- Carrying security audits, scans, tests and patches into DevOps workflows for builtin secure products
Implement best practices for secure coding and infrastructure
Reduce the risks of introducing vulnerabilities into production
Address vulnerabilities faster
Higher speed and agility for security teams
Quality and compliance assurance
Artificial Intelligence is the field that focuses on building computers and machines that can mimic human cognitive functions, such as being able to see, understand, and respond to spoken or written language, analyze data, make recommendations.
Machine Learning is a subset of AI that allows a system to learn and improve from experience. ML uses algorithms to analyze huge amounts of data, learn from the insights, and make informed decision.
Deep learning is a subset of Machine Learning based on neural networks that permits a machine to train itself to perform a task.
While AI/ML is a powerfully transformative technology that can provide an enormous amount of value in any industry, getting started can seem more than a little overwhelming.
The good news is that you can start small. It’s possible to adopt AI/ML into your organization without a huge upfront investment.
Click here to request a meeting with our engineering team to help you get your feet wet and start to figure out how and where AI/ML can benefit your organization in smaller, easier to manage pieces.
Our Artificial Intelligence, Machine Learning and Deep Learning techniques will give your organizations a way to extract value out of the data they collect, delivering business insights, automating tasks and advancing system capabilities.
AI/ML has the potential to transform all aspects of your business and helping you achieve measurable outcomes including:
On-demand availability of computing system resources over a network without direct management
Our Cloud Engineers will help you set up Cloud platforms to request and access rented computing services. Security and privacy features are common components
We, generally, opt for a service oriented architecture (SOA) with three standard service models
Delivers a virtual data center to cloud users (Virtual Machines, Containers, Networks, Storage ...)
Allows you to provision, instantiate, run, and manage a computing platform and its applications, without the complexity of building and maintaining the infrastructure
Grants users access to web-based software and applications that are running on cloud and made accessible through a network (usually the internet)
Due to the architecture of cloud computing, enterprises and their users can access cloud services from anywhere with an internet connection, scaling services up or down as needed.
Organizations can develop, deploy and deliver new applications without worrying about the infrastructure.
Implement the latest innovations that cloud providers can offer.
Our cloud security teams are known to implement mechanisms that are generally stronger than those implemented in enterprise data centers.
Most providers have a pay-as-you-go model, which can help in reducing capital expenses.
We have partnered with the major cloud providers to give you the expertise you need to accelerate your transformation
We will help you build the fundamental underlying structure of your software systems
Just like physical architecture defines and limits how a specific building can be used, software architecture defines the design and the collection of components that make up the building blocks of software
We will support you to frame the structural composition of your software program and the interactions between its elements
Whether the context is cloud migration, architecting for AI and ML, modernizing legacy systems, DevSecOps, or continuous evolution, our architecturing practices and patterns can help you
The internet of things, or IoT, is a network of interrelated devices that connect and exchange data with other IoT devices and the cloud
Our IoT solutions are usually composed of sensors and software that have a processing ability and connectivity to exchange data over the internet and other communication networks
A collection of electronic components that have computing abilities to enable it to collect user input data, surrounding environment data, usage patterns ... and communicate this data with other devices or to a central system
A software that analyses the data from smart devices and make informed decisions. It usually takes advantage of AI technologies and Machine Learning algorithms to make intelligent decisions
A graphical interface that allows users to control smart devices and interact with them
They are a combination of customized hardware and software with a dedicated function.
They are placed within a larger mechanical or electrical system and often performs pre-defined tasks with very specific requirements.
Contrary to IoT, connectivity is not the main factor for embedded systems. They have a dedicated function that cannot be updated once programmed.
User Interface (UI) and User eXperience (UX) designs play key roles in the experience users have when interacting with digital products and applications.
Our UX process is used to create products with meaningful and relevant experiences for your users. We will cover the entire process of integrating the product icluding the aspects of branding, design, usability and function.
Is about how things look. We will deal with the applications's graphical layout, this icludes buttons, screen layout, animations, transitions, micro-interactions...
The massive amount of complex data sets available within your organization can be hard to deal with. Traditional business intelligent tools can't manage nor analyze them.
Our advanced data analytics, storage, and processing solutions help clients unlock the full potential of their data, turning it into actionable insights and a competitive advantage
Product development
Big data can be used to anticipate customer demand. Building predictive models for new products and services by classifying key attributes of past and current products or services and modeling the relationship between those attributes and the commercial success of the offerings.
Predictive maintenance
Multiple factors can predict system failures from structured data (versions, make and models of equipments ...) as well as unstructured data (IoT data, logs, errors, sensors...). Analyzing this data can indicatate where the issues may come from and resolve issues before happening.
Customer experience
Gathering data from from social media, web visits, call logs, and other sources to improve the interaction experience with customers and allow them to access personalized offers.
Fraud and compliance
Big data can help you identify patterns that indicate fraud through machine learning models.
Innovation
Use customers data insights to improve decisions about financial and planning applications.
How can we help you with your big data needs ?
- Manage your data with the latest technologies (Big Cloud, Hadoop, custom ...)
- Develop ML models specific to your data lake
- Align big data with specific business goals
- Optimize knowledge transfer
As an Information and Communication Technology Organization, we thrive by guiding our customers from different industries all around the world. Wether you need to integrate a new software, build a cybersecurity strategy or redesign/upgrade a technological solution. We can help you !
Our team will come back to you within a matter of hours