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ChatGPT, Bard & Co. have shown at the latest: Generative AI (GenAI for short) has the potential to revolutionize the world of work. With GenAI Consulting, we support you in exploiting this potential for your company. And: overcoming implementation challenges like these:
Find your individual use case: Many companies are aware of the enormous importance of GenAI. It becomes difficult when it comes to transferring the technology trend to a specific use case. What is possible? Where are the restrictions? How do I achieve the greatest possible ROI? We help you find the use case that really advances your company.
Link the AI with your company's own knowledge: ChatGPT, Bard & Co. are already impressive in themselves. It gets even more exciting when you link the generative chatbot with your company's own knowledge. Based on information from sources such as the intranet, Confluence and PDFs, the AI provides you with relevant and accurate answers. By connecting internal knowledge sources, you can also avoid the tendency towards “hallucinations” and improve the quality of the answers.
Ensure the security of your data: Data security plays a key role when using GenAI in the company: the exchange of information between the AI and the colleague should remain within the company. In addition, the AI should only provide employees with the information they are authorized to know. When introducing GenAI, we pay particular attention to the area of governance and ensure that your data is secure.
Our services around GenAI
Discovery Workshop
In a kick-off workshop, we take the first steps to get your GenAI project off the ground. The workshop includes:
Determination of a use case: Together we identify possible uses of GenAI in your company.
Maturity level analysis: Our experts analyze your maturity level for the use of GenAI and the suitability of the content to be used.
Recommendation for action: The findings from the analysis are collected and structured. On this basis, we present recommendations for action, work packages and a cost estimate for implementation.
Implementation
We are happy to implement the findings from the workshop together with you! This includes
Preparation of the content: The company data to be used is provided, prepared, indexed and vectorized.
Data security: We ensure that the AI always takes user authorizations and classifications into account when providing information.
Optional customizations: On request, our experts can customize the Large Language Model (LLM) with regard to company-specific queries and special features.
A selection of our customers
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Examples: GenAI in practice
What are the advantages of using GenAI in your company? What could this look like in practice? Below you will find some of many possible examples.
Added value for various professional groups
Analyst
Complex data, intuitively accessible: Improve time-to-value to search, navigate and gain insights from large volumes of complex data.
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Customer Service
Online interactions in dialog: Optimize the customer experience and maximize your customer base by making online interactions more natural and conversational.
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Creative
Create content at the touch of a button: Generate text, code, images, videos or music to speed up business processes and increase productivity.
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AI Practicioner
Foundational Model Customization: Customize large models and integrate state-of-the-art generative capabilities natively into your own internal machine learning operating platforms.
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Possible use cases
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Example 1: Enterprise Search 2.0
Use chat to find the information you need in a targeted manner - and save time and stress.
You are looking for specific information, let's say the turnover from the previous year. But where is it listed? In a PDF? In Excel? In a database? Didn't you recently receive an e-mail from Controlling with the previous year's figures? A search like the one in the example is exhausting and time-consuming.
With GenAI, you can not only find the document in seconds: type your question - “What were the sales figures in 2022?” - in the search field. Your virtual assistant will provide you with the answer in natural language via chat, including a link to the relevant source. Regardless of where the information is located.
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Example 2: Chatbot of the future
GenAI relieves your service employees, because: Customers get exactly the answer they are looking for from the AI. Much more reliably than from a conventional chatbot.
A customer has a question for your customer service, e.g. about a complaint. The first stop is the chatbot in your online store, which they hope will provide a quick answer. But things turn out differently: the question is too specific. Or: not asked in a way that the chatbot understands. The process is aborted and the customer is forwarded to an available employee.
Situations like this are frustrating for customers and mean additional work for your service staff. Unlike a conventional chatbot, a GenAI-based virtual assistant has access to a huge pool of company information. And: can place the question in the right context. The success rate of a customer receiving the right information in the chat is therefore significantly higher.
Why with X-INTEGRATE
We have many years of experience in AI projects: We have been involved in artificial intelligence and data science since the early 2000s. We have continuously built on this experience and managed numerous projects, enabling us to offer you sound advice - from mathematical models and machine learning to deep learning and GenAI.
We are independent of technology manufacturers: our sole focus in your GenAI project is to pragmatically find the optimal solution for you - we decide together which technology is best suited to your use case.
We offer comprehensive implementation expertise: The result of our Discovery Workshop is a recommended course of action for the specific steps of your GenAI project. Afterwards, we won't leave you on your own: we will be happy to implement your project together with you - we bring know-how and (wo)manpower to the table.
Matthias Bauer
Talk to us about Generative AI Consulting!
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Data Science, AI & Advanced Analytics
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Digital transformation in public administration
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Standardized data management creates basis for reporting
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Graph Technology
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Artificial Intelligence & Data Strategy
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Operationalization of Data Science (MLOps)
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IBM Cloud Pak for Data Accelerator
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Mastering digital transformation in insurance
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Microsoft Azure Synapse Analytics
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Data Insights
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On-site digitization partner for insurance companies
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Internal and external security
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AI & Digitization for the Transportation and Logistics Indus
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Correlate 2.0 - Mastering complex IT infrastructures
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Quality scoring with predictive analytics models
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Gemini
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Interactive online portal identifies suitable employees
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Legacy modernisation with eXplain
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Talend Data Fabric
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Talend Data Integration
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Talend Application Integration / ESB
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Business Intelligence
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Conception of individual Analytics and Big Data solutions
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Talend Real-Time Big Data Platform
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IBM Cloud Pak for Application
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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Dashboards & Reports
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Data Science, Artificial Intelligence and Machine Learning
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IBM Cloud Pak for Data
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Data Governance
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Data Integration, ETL and Data Virtualization
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AI - A technology is revolutionizing our everyday lives
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Proof-of-Value Workshop
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IBM SPSS Modeler
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IBM Cloud Pak for Automation
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Effective claims management for insurers
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IBM InfoSphere Information Server
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IBM Netezza Performance Server
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IBM Db2
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Common Mistakes in the Development of AI Assistants
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IBM Cognos Analytics 11
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IBM Planning Analytics mit Watson
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IBM Watson Studio
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Architecture consulting
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AI & Data Science
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IBM Cloud Pak for Data – Test-Drive
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Microsoft Power BI
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IBM Watson Discovery
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Microsoft SQL Server
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IBM Watson Knowledge Studio
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Microsoft Azure
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IBM Watson Assistant
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Flexibility in the data evaluation of a theme park
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8 tips for developing AI assistants
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Industrial Internet of Things
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Process Management
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Hybrid Cloud
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Gen AI Discovery Workshop
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IT Monitoring & Service Assurance Consulting
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Big Data, Data Lake & Data Warehousing
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Google Workspace: AI-supported work for every company
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AI Workshops for Companies
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Data Vault Modeling Approach
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ChatGPT & Co: LLM Benchmarks for January
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vdek introduces new Data Warehouse solution
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Application Performance Monitoring Service
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Application Performance Monitoring Service
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Technology Adoption & Integration
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Big Data
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Our services
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Digital Transformation with Atlassian Tools
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Network Performance Management
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IT modernization
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Software Engineering
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Digital Strategy & IT Strategy
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IT & Business Service Monitoring Solutions
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Business Innovation & Digital Transformation
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Sourcing Strategy, Spend Management & Compliance
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Cloud platforms and automation technology
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