In a world where data fuels innovation, companies that adopt a data-oriented strategy have an edge over their competition. Harnessing data not only optimizes internal operations; it also paves the way for the integration of artificial intelligence.
Whether you are only starting your digital transformation journey or are ready to integrate artificial intelligence into your business processes, ITI can guide you every step of the way.
Step 1: Laying the foundation
All successful digital transformations are driven by business objectives that offer a tangible return on investment. They are based on a data-oriented strategy, supported by appropriate architecture and clear governance.
ITI helps you choose and build a scalable architecture that is in line with your goals. The chosen solution, whether on-premise, cloud-based or hybrid, must enable optimal data flow, efficient storage and maximum yet secure access. To be ready for tomorrow’s challenges, data architecture must be both robust and flexible.
Data management is about more than just access and storage. It must be grounded in a governance that ensures its quality, security, and compliance. Clear policies ensure that your data is managed in a way that is consistent, that reduces risk and that maximizes its relevance.
Step 2: Cleaning and preparing data
Artificial intelligence’s full power can only be exploited if adequate data is available. ITI helps you ensure the quality of your data by preparing it and eliminating errors and duplicates. The first step is to analyze your raw data. Results will be used to assess data maturity and determine whether your data is ready to be exploited for analytical purposes by artificial intelligence.
Once analyzed, data must be prepared for future use, which involves handling missing values, normalizing it and removing duplicates. To facilitate these tasks, ITI uses automation tools such as Azure Databricks and SQL Server Integration Services (SSIS). By simplifying the management and use of your data in artificial intelligence projects, we ensure that it is ready for analysis and aligned with your business’s needs.
Often unstructured, raw data coming from various sources—such as transactions or customer interactions, for example—can be difficult to analyze. An entire digital transformation process can be derailed by poor data quality. It is, therefore, essential that your data be cleaned to eliminate errors and guarantee its quality.
Step 3: Moving on to advanced data visualization and valorization
Informed decision-making relies on clear and interactive data visualization. ITI gives you access to tools like Power BI that let you transform complex data sets into intuitive dashboards. These self-service business intelligence tools provide both fast access to information and enhanced data security.
But visualization is not only limited to data display. ITI maximizes your data’s value by improving the speed, accuracy and relevance of reports, which then gives you deeper insights for decision-making. It also automates analytical processes, making reports more agile and better aligned with your strategic needs.
Step 4: Completing training and operational transfer
A transformation project will be considered successful based on its adoption rate. To ensure maximum use of the new tools, ITI offers comprehensive knowledge transfer programs, with clear documentation and ongoing support. This enables your teams to adopt new technologies quickly, and ensures an efficient operational transfer for optimal, scalable use of your data.
Using artificial intelligence to accelerate your transformation
For today’s businesses, artificial intelligence is a powerful driver of growth. But levelling up is not an amateur’s game. It requires preparation, a detailed plan, solid infrastructure and proven technologies. ITI has completed this journey with several clients. Our experience is now at your service.
Artificial intelligence readiness and roadmap
ITI first assesses your current technologies and processes to determine your level of readiness for artificial intelligence. Based on our findings, we will then develop a customized roadmap that identifies strategic opportunities and keeps in mind the resources at your disposal.
Data infrastructure
As mentioned earlier, choosing the right infrastructure is crucial for optimizing the impact of your data. If you are just starting and are in the experimental phase, your consumption will likely be low. Additionally, if cost is your main criterion, cloud solutions are generally more economical.
However, when your project reaches a certain maturity and a larger scale, the choice must be reconsidered. Indeed, there is a tipping point where a hybrid approach may prove advantageous, and at a very large scale, the on-site option becomes more economical again. It is crucial to consider these elements during your evaluation.
In any case, ITI offers customized and optimized analytical platforms: Microsoft Azure for cloud computing and AI Factory powered by Nvidia for on-site infrastructures. These technologies allow you to benefit from increased computing power to meet the needs of advanced algorithms. Data pipeline automation reduces delays between data collection and model production, accelerating your return on investment.
The integration of these technologies offers flexibility that allows you to create custom models or access pre-trained models. The model lifecycle is optimized to ensure their tracking, updating, and performance, from development to production.
Artificial intelligence as a driver of performance
AI transforms your data into usable strategic information. Key applications include:
Natural Language Processing (NLP): By harnessing textual data, natural language processing makes it easier to analyze customer interactions, deploy virtual assistants and automate document processes, for example. This technology opens new perspectives for document processing and sentiment analysis.
Descriptive and generative analysis: This AI enables you to optimize your sales strategies—including pricing and marketing, for example—before you even deploy them. In such contexts, descriptive AI extracts trends from historical data while generative AI simulates future scenarios based on that same data.
Predictive and prescriptive artificial intelligence: Predictive AI makes it possible to anticipate future behaviour, whether related to sales forecasting or anticipating clients’ needs. Prescriptive AI, on the other hand, proposes precise recommendations to maximize your results.
Among other things, artificial intelligence accelerates your business decisions and customer interactions by enabling you to anticipate trends, improve performance and automate key processes.
The ITI approach
ITI has adopted an MLOps (Machine Learning Operations) approach to achieve seamless deployment supported by continuous data model management. We automate a model’s entire lifecycle, from data preparation to training and production. Pipeline automation ensures greater efficiency and shorter lead times.
ITI encourages and facilitates collaboration between your teams to ensure that artificial intelligence solutions are smoothly and efficiently integrated into your business strategy. When combined with training and seamless operational transfer, our approach makes it possible for your teams to take full advantage of new technologies.
We track and manage the different versions of the models, which guarantees continued performance. It’s easy to go back to an earlier version and adjust if needed. We set up model performance monitoring systems that detect any drift and guarantee efficiency over time. Real-time monitoring means that models can be tweaked as needed.
Unleash your company’s full potential
Why ITI
Any company wanting to stay competitive in a constantly evolving market must adopt a data-oriented strategy and integrate artificial intelligence. ITI is an experienced partner that can guide you through this transformation. Together, we can transform your data into a strategic asset that will propel your business into the future.
