Large Language Models – Talk to your data

Discover the potential of Large Language Models to chat with your data sources!

How Large Language Models support your business

Large Language Models (LLMs) like ChatGPT have taken over the world like few other technologies – and are not just a brief tech hype, but a paradigm shift in how we interact with data, knowledge and decision making. The potential of this new technology is evident across all business sectors:

Personal assistant

Say goodbye to information overload and welcome actionable insights. Personal voice assistants can analyze vast amounts of text, documents, and unstructured data in a fraction of a second and find the information you’re looking for from public and private sources, and customize it to suit your needs.

Example: QA-Chatbot

University Education

University lectures have long ceased to be purely lecture hall events, but with the help of language models, teaching is becoming more interactive and individualized. Directly integrated into the Moodle platform, students can now write with a chat bot that answers questions about the respective learning content, citing sources, summarizes chapters or creates test questions for exam preparation.

Example: GPT in teaching at RWTH Aachen University

E-Commerce

The Otto Group operates numerous online shops whose product ranges and catalogues differ greatly in some cases. However, if the product description is cleverly coded with the tools from the LLM area, the products of the respective shops can be translated into each other. In this way, customer-specific product recommendations can be generated across all shops.

Example: Product-Translation for E-Commerce

Energy Industry

The amount of information available in text form is enormous. In the case of an energy provider, this includes plant and error logs, reports on market and price developments, environmental regulations, CO2 data, and customer profiles and contracts. By using large language models, this information can be integrated and used in almost all steps of the value chain.

Example: AI-based text analysis for the energy industry

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Have you already identified a concrete use case for your company that you would like to implement with us? Or is it still a vague idea that we want to substantiate together?

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Large Language Models push the boundaries of what is possible

Large Language Models not only enable use cases that were previously not economically feasible, but also change requirements for data and procedures. At the beginning, customers often ask us similar questions:

How much data is needed to use large language models effectively?

While traditional NLP models only used to work well when trained on their own data, today large language models can also handle unseen data. Accordingly, large amounts of data are not needed for model training, but only exactly the data you want to work with. This can be many thousands or just a handful.

Does data need to be labeled?

Since large language models do not necessarily require further training, labeled training data is not necessary. Nevertheless, the quality of the responses needs to be evaluated to identify areas for improvement. Accordingly, domain experts should collaborate with our team during development to enable a qualitative evaluation.

Is there a risk that ChatGPT learns from our data when I use it?

No! Even with large language models, training and inference are two separate processes. In order to learn from queries from users, they must first be collected and then fed into the training process. While in the beginning OpenAI did this when using the Playground, when using language models via API (e.g. via Azure OpenAI Services), there is a guarantee that your data will not be used for training purposes under any circumstances.

How is using an LLM with our company data different using the OpenAI Playground?

ChatGPT was trained on numerous data available on the Internet. Accordingly, the model can only reproduce knowledge that it has absorbed in the process. By integrating your own company data, the model gets insight into your internal information for the period of use and can perform tasks based on this information.

Our joint roadmap

You want to use the potential of Large Language Models for your company? We support you from idea generation to implementation in production.

Start together now

Dream
Set a vision

Joint identification of use cases and goals for use in your company. Our experts advise you so that you can better assess the potentials and challenges.
Derive
Derive a concept

Exploration of existing data sources for extended understanding and assessment of feasibility.
Testing of critical components, e.g. selection of a suitable language model.
Develop
Develop a product

Development in close consultation with stakeholders to ensure seamless integration.
Evaluation of result quality in compliance with data protection guidelines and security standards.
Deploy
Provide a solution

Integration of the language models into the existing infrastructure and processes. Establishment of continuous model monitoring as well as ongoing support, e.g. through employee training.

What our customers say

“In our project, the colleagues from scieneers were able to convince not only professionally but also humanly: Coupled with high motivation and a pinch of fun, this always leads to excellent results. Thanks for that!”

Benjamin ReinhardProduct development at Steag New Energies GmbH

“Thanks to scieneers, the runtimes of the ETL loading processes of a large application on AWS could be reduced from originally several days to a few hours in a short period of time, thus also significantly reducing the operating costs. scieneers integrated very quickly into our internal team as an AWS/Glue Spark Data Engineer and contributed significantly to the success here. Many thanks for the very good partnership.”

Andreas HeuerSenior Director IT Portfolio Management at CENTOGENE GmbH

“With scieneers, we have a highly competent and reliable partner with whom we have built our platform for data analysis. The dedicated team at scieneers also provides us with advice and support when it comes to more advanced biostatistics: this enables us to gain new and valuable insights into our biological methanation technology.”

Dipl. Ing. Birgit Lewandowski Director Development at Electrochaea GmbH

“The colleagues of our partner scieneers have excellent expertise and come up with solutions very quickly, which help us to further develop our BI systems in a stable and performant way.”

Jan DosterHead of BI, PMO & IT Service at SuperBioMarkt AG

“You are the most efficient meet’ers I’ve ever met…”

Dr. Laurent LardonSenior Process Engineer at Electrochaea GmbH

“The scieneers Power BI Advanced training was well organized and objective, including interactive discussions in which any questions have been adressed by the trainers in a very professional way. I would 100% do it again!”

Amr AshourSHARP BUSINESS SYSTEMS DEUTSCHLAND GMBH

“I’m impressed with how the scieneers colleagues got to grips with the problems in a very short time and helped us significantly improve our analysis results with creative approaches to solving them.”

Michael ScholzEnBW

“In scieneers, we have found a partner that understands our vision and is able to quickly and efficiently translate it into working solutions.”

Dr. Christoph TempichDirector Digital at von Rundstedt

“In the scieneers Power BI training, our colleagues got along very well and were able to take away a lot of new things. It was a complete success!”

Emilia BarberioBusiness Intelligence Project Manager at Kendrion GmbH

“With the scieneers, we implemented a very good solution quickly and pragmatically despite difficult environment conditions. Not only professionally, but also humanly, the scieneers show a lot of flexibility and customer orientation!”

Ali SalmanManager Global Reporting at Daimler Truck AG

“Das Fachwissen der scieneers, das klare Kundenengagement und die Bereitschaft Lösungen zu verbessern um die größtmögliche Wertschöpfung für Kunden zu erzielen, ist beeindruckend. Die Zusammenarbeit mit den scieneers war reibungslos, schnell, vertrauensvoll und offen. Das Testen neuer Ideen und die Anwendung optimierter Lösungen war nur eine Frage von wenigen Stunden.”

Sven WeisseAccount Executive Industry Partner bei Intel Corporation

“Agile development of analytics projects always requires a high level of trust among all parties involved. Here we have found a very committed partner in scieneers, who is able to always produce good customer-oriented solutions with its expertise as well as its open and pragmatic manner.”

Sascha BackProduct Owner at Prosoz Analytics

“Due to the trustful cooperation between the Jobcenter Ostalbkreis and the team of scieneers, the requirements of the political levels could always be realized. In the further project we will work together on the productive further development!”

Philipp PriemerHead of Controlling at Landratsamt Ostalbkreis

“With the help of the MIP-Power BI Connector developed by scieneers, we were able to generate initial reports and dashboards for our store floors much faster. We particularly liked the fast and uncomplicated collaboration!”

Thomas von LonskiData Analytics Platform Manager at Schott AG

“Competent, motivated, flexible, human – these are the attributes I would use to describe the scieneers and the collaboration with them. I am already looking forward to the next project that we will implement with the colleagues.”

Dr. Christoph StockhusenHead of Data Platform at Otto Group data.works GmbH

“scieneers quickly understood our requirements and together we were able to efficiently implement the desired solutions and go live. The project with you guys was fun and successful!”

Rüdiger LangPrincipal at Consileon Business Consultancy GmbH

“Working with scieneers on the implementation of our Power BI platform has proven to be the right decision from the very beginning. From the project kickoff, to the initial implementation, to the agile expansion of datasets and reporting, the collaboration is extremely efficient and we always find the right solutions for our business, both technically and commercially. I can unreservedly recommend scieneers in terms of know-how and methodical approach.”

Sebastian TuttasProjektmanager at doxx GmbH

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