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Data and Generative AI
The AI division of Teknei was born with the aim of streamlining the creation of mathematical models and making predictive techniques available to users to enhance their business strategy.
Currently, and thanks to the emergence of Generative Artificial Intelligence, we offer innovative solutions and services based on deep learning techniques.
Value Proposition
Data fabric
It all starts with Data
The use of data has become an essential tool to enhance services, enabling more effective, efficient, and personalized offerings to customers.
The concept of Data Fabric refers to a unified and scalable data architecture that allows the integration of data from various sources and formats in an agile and flexible manner. It is based on creating an abstraction layer between data and the applications that use them, enabling centralized and efficient real-time information management.
Our strategy is to turn companies into Data-Driven organizations. We act on all data levers to achieve results: architecture, collection and management, governance, data analysis, and visualization.
Data Architecture refers to the design and organization of an organization's information systems. Data architecture is essential for the efficient and effective management of a company's data.
Data architecture includes defining data structures, integrating different data sources, managing metadata, and implementing security and privacy policies. Good data architecture enables organizations to access, share, and use data effectively.
Data Management is the process of collecting, storing, organizing, integrating, analyzing, protecting, and maintaining an organization's data. Data management is crucial to ensure that data is used effectively and efficiently.
This involves defining policies and procedures to ensure data quality, ensure data security, and comply with applicable regulations and laws. Data management also involves the implementation of tools and technologies to facilitate data management, such as databases, data analysis tools, data visualization tools, and data process automation tools.
Data Strategy refers to the set of plans and objectives that an organization establishes for the effective use of data. Data strategy involves defining business goals, identifying the data needed to achieve those goals, and planning how that data will be collected, stored, analyzed, and used.
A good data strategy can help organizations make informed decisions, improve operational efficiency and effectiveness, and provide a competitive advantage. Data strategy can also help organizations ensure data privacy and security, comply with applicable regulations and laws, and enhance data quality.
Data Governance is the set of policies, processes, standards, and principles that an organization establishes to ensure the quality, security, privacy, and ethical use of its data. Data Governance involves defining roles and responsibilities, assigning authority to make decisions related to data, and implementing controls and mechanisms to ensure compliance with established policies and standards.
Data Governance is crucial to ensuring the integrity and confidentiality of data, and also to ensure that data is used effectively to achieve the organization's objectives. Good data governance can help organizations make informed decisions, improve operational efficiency, and ensure data privacy and security.
Data Science & Analytics refers to the process of using statistical, mathematical, and programming tools and techniques to analyze large datasets and extract useful information. Data Science & Analytics involve data collection, cleaning, and transformation, selecting appropriate analysis methods, and interpreting and visualizing results.
Effective data analysis can help organizations discover patterns and trends in data, identify areas for improvement in business processes, and make informed, data-driven decisions. Data Science can also provide a competitive advantage by helping organizations identify opportunities for growth and development.
Data Visualization is the process of representing data in a graphical and visual manner to make it easier to understand and analyze. Data Visualization involves creating charts, diagrams, maps, and other types of visual representations to display patterns, trends, and relationships in the data.
Effective data visualization can help individuals identify patterns and trends in the data, discover relationships between different datasets, and communicate complex information clearly and concisely. Data Visualization can also assist organizations in making informed decisions, improving operational efficiency and effectiveness, and providing a competitive advantage.
Generative Artificial Intelligence
Generative Artificial Intelligences (GAI) are a type of artificial intelligence that utilizes deep learning algorithms to generate new and original data resembling the provided training data.
GAI employs a technique called 'content generation' to autonomously create images, videos, music, or text. The content generation technique relies on the creation of artificial neural networks trained with a vast amount of data. As the neural network trains, it learns patterns and unique features from the training data and utilizes this information to generate new data that is similar to the training data.
GAI is used in various applications that make services offered by businesses to their customers more efficient and agile (automated content, real-time translations, chatbots, etc.).
If you are interested in unlocking the potential of Generative Artificial Intelligences in your business, leveraging data from your own business activities, please get in touch with us.
If you are interested in unlocking the potential of Generative Artificial Intelligences in your business, leveraging data from your own business activities, please get in touch with us.
Capabilities
Value
We turn data into a valuable asset for the business.
Decisions
We assist organizations in their decision-making processes.
Analys
Development of technological solutions applied to information analysis.
