Amidst the buzz of generative AI advances, particularly with large language models such as GPT-4, classical machine learning has firmly established itself as the backbone of data processing and analysis. Whether it’s predictive analytics, automated decision making, or business process optimization, proven machine learning techniques play a critical role. They enable organizations to extract valuable insights from their data and make smarter, data-driven decisions.
Data and AI by INNOQ
Our Data and AI services combine our 25 years of experience in software development and architecture with our expertise in Machine Learning and Data Engineering, MLOps and Data Mesh. We now offer strategic consulting for companies of all sizes to integrate sustainable AI strategies into their existing business processes and support the development of AI-driven software products.
What we offer
- AI Strategy: Tailored AI strategies for organizations of various sizes and industries.
- AI Products: Development and implementation of AI products.
- Machine Learning Operations (MLOps): We operationalize machine learning systems, ensuring the deployment, monitoring, and maintenance of AI models.
- Data Contracts: We support you from the design phase of your data contracts to the full automation of data product management in your data network.
- Data Mesh: Implementing Data Mesh requires organizational, technical, and cultural changes. We provide guidance, support, and tools to empower leaders and developers to take ownership and build trusted data products.
- Data Mesh Manager: A SaaS application designed for owners and users of data products within a Data Mesh architecture.
- Data Engineering: Build reliable data infrastructures.
- Platform Engineering: Build custom machine learning platforms.
As the Head of Data and AI, Dr. Larysa Visengeriyeva leads our new service division. Larysa Visengeriyeva earned her doctorate in Augmented Data Quality at the Technical University of Berlin and has authored numerous scientific articles on Data and ML topics. With years of practical experience in operationalizing Machine Learning (MLOps), she contributed significantly to ml-ops.org, one of the largest freely available MLOps resource collections. Her expertise also extends to Data Architectures, including Data Mesh.
INNOQ has been engaged in the fields of Data and Machine Learning for quite some time. With our new service area “Data and AI”, we’re consolidating our efforts to provide our clients with comprehensive consulting and development services. This includes everything from implementing sustainable AI strategies and identifying use cases to developing AI products, Data Mesh solutions, or ML platforms. Our focus is on delivering business-aligned, cost-optimized, and responsible solutions.
Larysa VisengeriyevaHead of Data and AI, INNOQ
For more information about our new Data and AI services, please visit our website.