Our Goals

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Intelligence: With machine learning and natural language processing, we help you automate tasks, analyze data, and make smarter decisions.

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Flexibility: Our AI system is capable of adapting to projects of all shapes and sizes. Additionally, it offers customization options that integrate with the other tools you already use and leverage efficient machine learning techniques.

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• Automation and data analysis: With machine learning and natural language processing, the goal is to enable better decision-making.

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• Adaptability: The AI system is designed to adapt to different types of projects of varying shapes and sizes. Additionally, it seeks customization options that integrate with other tools you already use and leverage efficient machine learning techniques.

We aim to evolve our AI project by identifying and implementing technical choices suitable for its maturity. These choices are intended to improve the performance of our applications while meeting the needs of our clients and overcoming technical constraints related to project management tasks. Our goal is to develop an intelligent system capable of predicting project success using heterogeneous and sometimes unreliable data.

Our work has focused on the following areas:

1. Transition to real-time prediction for better responsiveness and optimization of our predictive model.

2. Utilization of enhanced techniques for real-time prediction to optimize the efficiency and speed of the model’s responses.

3. Research on continuous and real-time learning methods, including techniques such as tolerance threshold, reusing existing parameters, and selecting parameters to train.

Our objective is to continue improving our AI applications by adopting these suitable technical choices while preserving the essential qualities of our model, such as self-improvement, compliance, and generalization.

2. Security

Rest assured regarding the security of our cutting-edge AI model. We have implemented robust security measures to protect your data and preserve the confidentiality of your predictions. Here’s why you can have complete confidence in our secure approach:

1. Protection against malicious attacks: Our model is designed to withstand attempts at malicious attacks. We have implemented advanced security mechanisms that identify and block potential threats, ensuring the integrity of your data and the reliability of predictions.

2. Confidentiality of predictions: We understand the importance of confidentiality when it comes to your predictions. Your information is treated with the highest level of confidentiality and is only accessible to authorized personnel. We have strict protocols in place to ensure the protection of your sensitive data so that you can be confident that your predictions remain private.

3. Secure deployment: When deploying our model, we take all necessary steps to ensure a secure environment. We use strong authentication and authorization protocols to prevent unauthorized access. Moreover, we continuously monitor suspicious activities to quickly detect and respond to any potential threats.

Your security and privacy are our top priorities. We continuously invest in updating our security protocols to stay at the forefront of best practices and cutting-edge technologies. With our secure AI model, you can have total peace of mind knowing that your data is in good hands.

Trust our expertise in security and take advantage of all the benefits of our AI model without compromising on privacy or safety. Contact us today to find out how we can help you achieve your goals securely.

3. Data Privacy:

We combine several techniques and best practices to enhance the privacy of company data, such as:

• Federated Learning (The main objective of FL is to preserve data privacy, as data is never actually shared with a centralized server)

• Use of differential privacy techniques (a method that introduces noise or controlled disruptions into the data to mask sensitive information)

• Data anonymization

• Data aggregation

• Use of encryption

• Access control and restrictions

Additionally, we use more advanced techniques such as:

• Homomorphic encryption (Allows multiple parties to collaborate on computations without revealing their sensitive data.)

• Secure Multi-Party Computation

• Synthetic Data Generation

• Secure Enclave Learning

4. Market State and Product Innovation

The PCS innovation team has continued its market research to study existing products and offer an unprecedented solution, including:

1. Microsoft Project: Microsoft Project is project management software that offers advanced features for planning, resource management, and project tracking. It integrates predictive analysis capabilities to help estimate timelines and costs, along with customizable dashboards to visualize key data.

2. Oracle Primavera: Oracle Primavera is a project management software suite used in various sectors, including construction, engineering, and energy. It offers advanced planning, resource management, and performance tracking features, as well as predictive analytics capabilities to help project managers make informed decisions.

3. Jira: Jira is a popular project management and issue-tracking platform primarily used in software development and the IT industry. It offers project management, task tracking, and team collaboration features and also integrates with AI and automation tools.

4. Smartsheet: Smartsheet is an online project management tool that combines planning, task tracking, and team collaboration features. It offers visual dashboards, data modeling capabilities, and integrations with automation and AI services to facilitate decision-making.

The state of the market at the beginning of the project highlights the presence of major competitors such as Microsoft Project and SharePoint. While these products offer project management and collaboration features, they do not provide automated decision-making. In contrast, the solution developed by PCS stands out by offering automatic and intelligent decision-making features, as well as reliable and seamless communication, regardless of the client's software ecosystem.

In terms of product innovation and progress, the work done in 2021 strengthened the ergonomics of the KALISSEO tool by automating its installation and configuration. The tool is now capable of detecting environment variables and registering versions in a hierarchical manner. Thus, the installation and configuration of KALISSEO can be done without the intervention of a system administrator.

Additionally, the logical combinations present in the tool have been improved, resulting in smoother navigation with reduced latency.

These innovations position the PCS product as a unique and advanced solution in the market, offering automated, intelligent features and a better user experience.

5. Innovative Research Areas

At the forefront of innovation: Our consulting company is pioneering the integration of quantum physics principles into artificial intelligence.

We aim to push the boundaries of performance by exploiting quantum concepts for faster calculations and more efficient computational solutions than classical approaches. With our expertise in artificial intelligence and our commitment to quantum physics research, we offer innovative solutions that open up new perspectives for solving complex problems.

Thanks to the various quantum AI techniques we master, we are able to offer unparalleled benefits to our clients. Our skills include:

1. Advanced quantum algorithms: We use algorithms specifically designed for quantum computers to solve complex problems faster and more efficiently.

2. Quantum machine learning: Our expertise in quantum AI allows us to harness the power of quantum computers to develop more efficient and accurate machine learning models.

3. Quantum optimization: With our quantum optimization techniques, we can find optimal solutions more efficiently, enabling our clients to optimize their processes and decisions.

4. Quantum simulation: We use advanced quantum simulators to model and simulate complex quantum systems, allowing us to better understand quantum phenomena and explore new applications.

Join us in this exciting exploration where artificial intelligence meets quantum physics for unparalleled results. By collaborating with our company, you will benefit from our cutting-edge expertise in quantum AI and our constant commitment to pushing the boundaries of performance. Take a step toward the future of artificial intelligence and discover how our innovative solutions can transform your business.

 

References

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​"Deep Learning" by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton (2015) - This paper presents the fundamental principles of deep learning, a branch of artificial intelligence that has seen significant advancements in recent years.

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https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf

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"A Few Useful Things to Know About Machine Learning" by Pedro Domingos (2012) - This article provides a general overview of key machine learning concepts, with a focus on practical aspects and useful tips for practitioners.

https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf

 

"Privacy-Preserving Machine Learning: Threats and Solutions" by Shokri et al. (2017) - This article examines the privacy challenges associated with using data in machine learning models and explores different approaches to preserve privacy while enabling accurate analyse.​

https://arxiv.org/ftp/arxiv/papers/1804/1804.11238.pdf

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