Do you want to code, calculate, or consult as a freelancer? Do you work with passion and deliver absolute satisfaction to your clients but need long-term projects to ensure a consistent workload?
As a technology-independent consultancy for data & AI, we are always up-to-date and introduce the latest technologies to our clients. Exasol, Wherescape, Snowflake, Power BI, Azure, and AWS are not foreign words to us but an integral part of our expertise.
Our consultants are experts in their fields. Collaborating with them, you will develop innovative solutions to tackle complex challenges for our clients.
The b.telligent customer network spans from small businesses to large corporations. As the exclusive partner of many organizations, we grant you access to unique projects that you won't find anywhere else.
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With our vast experience, we know how to help you stand out. Contact us, and we’ll gladly support you in updating and polishing your profile to maximize its impact.
Many companies now rely on temporary workers for project-based expertise. Through our subsidiary Nexxtep, we can seamlessly integrate you into these opportunities – ensuring a win-win for all parties involved.
How can small improvements in revenue, costs, and workflows have a disproportionately large impact on margins? Using a simple calculation, this article shows how data, AI, and automation can help you boost productivity in a targeted way.
What do Claude Monet and the quality of your company’s data have in common? This article explains why blurry, inconsistent data can distort decisions—and how to create a reliable foundation for management, analytics, and AI.
OData is the language your SAP system uses to talk to the world today. We'll show you step by step how to turn an idea into a production-ready, delta-capable OData service in S/4HANA or ECC.
Discover how Snowflake User-Defined Table Functions can bring data extraction into your dbt data pipelines. The article shows how to pull Salesforce data directly into Snowflake and materialize it in dbt models without a separate ingestion tool.
In the age of agentic AI, retrieval quality often determines how reliably a system performs. Using an AI staffing use case, we show how retrieval can be meaningfully improved with late interaction retrieval, cross-encoders, and LLM-based approaches.
Which Azure IoT solution fits which scenario? This article compares IoT Hub, IoT Edge, and Azure IoT Operations—and explains why OT-centric data flows are becoming increasingly important for physical AI and modern production environments.
