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 Science, AI & Advanced Analytics
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Artificial Intelligence & Data Strategy
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Analytics, BI & Planning
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Business Intelligence
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Process Transformation, Integration & Automation
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Artificial Intelligence & Data Science
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Data Science, Artificial Intelligence and Machine Learning
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Decision Automation
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Data Insights
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Data Governance
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Digital Architecture
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Analytics & Business Intelligence
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Standardized data management creates basis for reporting
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IBM Watson Discovery
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IBM Watson Studio
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Consulting for IBM products
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API Economy, DevOps, Low Code & MACH
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On-site digitization partner for insurance companies
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Talend Data Fabric
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Talend Data Integration
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Data Vault Modeling Approach
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Monitoring & Service Assurance
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Decision Optimization
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State of Fast Feedback in Data Science Projects
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Part 1: Data Analysis with ChatGPT
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Talend Real-Time Big Data Platform
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Common Mistakes in the Development of AI Assistants
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Big Data, Data Lake & Data Warehousing
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Internal and external security
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AI Factory for Insurance
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Security, Identity & Access Governance
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IBM Cloud Pak for Data Accelerator
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Adoption & Change Management
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8 tips for developing AI assistants
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IBM Cloud Pak for Data
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Process Integration & Automation
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So You are Building an AI Assistant?
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Conception of individual Analytics and Big Data solutions
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Data Integration, ETL and Data Virtualization
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IBM Cloud Pak for Data – Test-Drive
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IT & Application Modernization
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Value Added Reselling
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Dashboards & Reports
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AI & Digitization for the Transportation and Logistics Indus
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Application Integration & Process Automation
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AUTOPILOT Business Class
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Demand Planning, Forecasting and Optimization
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Security, Identity & Access Management
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Proof-of-Value Workshop
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Software Asset Management
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Digital transformation in public administration
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Digital Workplace & Employee Experience
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Talend Application Integration / ESB
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Talend
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Microsoft
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Mastering digital transformation in insurance
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Insurance
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LLM-Benchmarks August 2024
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Unlock the Potential of Data Culture in Your Organization
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IBM Cloud Pak for Application
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GPT & Co: The best language models for digital products
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Consulting for IBM products
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Part 2: Data Analysis with powerful Python
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Consulting for IBM products
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Consulting for IBM products
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IBM Watson Knowledge Studio
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IBM Watson Assistant
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Cloud Transformation
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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Spend Management Consulting
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LLM-Benchmarks July 2024
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Sustainability
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Consulting for IBM products
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Consulting for IBM products
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Consulting for IBM products
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Graph Technology
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Consulting and solutions for AWS services
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Consulting for IBM products
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Enterprise Service Management
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ITAM / SAM & FinOps
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Gen AI Discovery Workshop
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Unique insights through graph databases
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IBM InfoSphere Information Server
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Process optimization with Microsoft Business Applications
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IBM Db2
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Agile Transformation & New Work
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IBM Cloud Pak for Automation
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Customer Experience & Retention
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Part 3: How to Analyze a Database File with GPT-3.5
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IBM Cloud Pak for Data System
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Training & Coaching
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Gemini
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Smart Insurance Workflows
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AI - A technology is revolutionizing our everyday lives
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Atlassian Platform Workshop in Vienna: catworkx modernizes y
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IBM Netezza Performance Server
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IBM SPSS Modeler
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GenAI Consulting
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