The amount of data that companies produce and process every day is constantly growing. This data contains valuable information about customers, markets, business processes and much more. But how can companies use this data effectively to make better decisions, improve their products and services and tap into new business opportunities?
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Our services
- include data science, machine learning, deep learning and generative AI solutions tailored to your specific challenges and goals.
- help you to understand, analyse, visualize and model your data in order to gain insights and derive recommendations for action.
- support you in selecting suitable tools and methods, such as machine learning, artificial intelligence or statistics.
- ensure efficient implementation and seamless integration of data science solutions into your existing systems and processes.
- offer you the right development and operating environment. Both on-prem, in the cloud and responsibly.
- include the selection of the appropriate architecture
Our general approach
We follow a proven approach in our data science projects, which is based on the following steps:
Understanding
We take the time to understand your business objectives, requirements and data sources and formulate a clear problem definition.
Explore
We explore your data using various techniques to understand its quality, structure, patterns and relationships and identify potential questions and hypotheses.
Modeling
We develop and test various data models to answer the most relevant questions and hypotheses and achieve the best results.
Communicating
We present the results of our data analysis to you in an understandable and appealing form, e.g. with dashboards, graphs or reports. We explain the underlying methods and assumptions and give you concrete recommendations for your next steps.
Implement
We support you in implementing data science solutions in your existing systems and processes. We ensure that the solutions are robust, scalable and maintainable and meet your requirements.
Operate
We are also happy to take over the complete operation of your solution and draw your attention to any changes (e.g. model drift, data drift) and suggest optimizations.
Our experts
Our service platforms and technology partners
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Additional information
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Operationalization of Data Science (MLOps)
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Data Insights
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Business Intelligence
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Data Science, AI & Advanced Analytics
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Analytics, BI & Planning
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Data Science, Artificial Intelligence and Machine Learning
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Artificial Intelligence & Data Science
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On-site digitization partner for insurance companies
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Artificial Intelligence & Data Strategy
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Internal and external security
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Standardized data management creates basis for reporting
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Decision Automation
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Data Governance
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Conception of individual Analytics and Big Data solutions
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Dashboards & Reports
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Demand Planning, Forecasting and Optimization
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IBM Watson Discovery
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AI & Digitization for the Transportation and Logistics Indus
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Process Transformation, Integration & Automation
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IBM Watson Studio
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Common Mistakes in the Development of AI Assistants
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Digital transformation in public administration
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Proof-of-Value Workshop
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Talend Data Fabric
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Talend Data Integration
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8 tips for developing AI assistants
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Decision Optimization
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Talend Real-Time Big Data Platform
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Insurance
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IBM Cloud Pak for Data Accelerator
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IBM Cloud Pak for Data
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Data Integration, ETL and Data Virtualization
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Digital Architecture
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IBM Cloud Pak for Data – Test-Drive
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AI Factory for Insurance
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Analytics & Business Intelligence
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Talend Application Integration / ESB
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IBM Watson Knowledge Studio
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IBM Watson Assistant
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IBM Cloud Pak for Application
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State of Fast Feedback in Data Science Projects
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Big Data, Data Lake & Data Warehousing
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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Gemini
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Graph Technology
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IBM InfoSphere Information Server
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IBM Db2
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IBM Cloud Pak for Automation
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API Economy, DevOps, Low Code & MACH
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Mastering digital transformation in insurance
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Monitoring & Service Assurance
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IBM Netezza Performance Server
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IBM SPSS Modeler
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Smart Insurance Workflows
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Security, Identity & Access Governance
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Adoption & Change Management
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Process Integration & Automation
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IT & Application Modernization
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Quality scoring with predictive analytics models
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Value Added Reselling
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Security, Identity & Access Management
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Data Vault Modeling Approach
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AI - A technology is revolutionizing our everyday lives
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Digital Workplace & Employee Experience
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IBM Cloud Pak for Data System
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Google Workspace: AI-supported work for every company
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Part 1: Data Analysis with ChatGPT
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AI for social good
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Cloud Transformation
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Spend Management Consulting
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Sustainability
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Interactive online portal identifies suitable employees
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GenAI Consulting
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ITAM / SAM & FinOps
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Agile Transformation & New Work
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Customer Experience & Retention
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Training & Coaching
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So You are Building an AI Assistant?
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Application Integration & Process Automation
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