The focus is on the user experience of insurance customers and collaboration & knowledge sharing among the professional and technical AI players in the insurance company.
What is "AI Factory for Insurance"?
- The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. As an innovation and implementation factory, it is there to systematically develop, train and deploy AI models in digital business processes.
Many companies have a clear digitalisation strategy that envisages the automation of various core processes, also using artificial intelligence (AI). In most cases, the development of AI models has already begun, but on the one hand, the concepts used often do not scale, and on the other hand, there is a fundamental lack of trust in the results for their use in fully automated customer processes. The AI Factory for Insurance addresses these requirements and shows a solution.
Four reasons for the AI Factory:
Benefit from the advantages of the AI Factory for Insurance.
AI-Model Lifecycle Management
Confidence in the results
Speed in operationalisation
Self-Service and Collaboration
Curious now?
We will be happy to answer your questions about the AI Factory for Insurance and advise you on the possibilities and potential in your insurance company.
How does the AI Factory for Insurance work?
- The data is read in, cleaned and integrated. A model can be developed (build), trained and finally put into operation (deploy) on this data. At the output of the deployed model is a decision that is passed on to downstream applications via interfaces (API), thus controlling the further workflow.
- The models provide decision-making aids, for example for classification, extraction of specialised data, cluster assignments or score values, which are used by insurance applications via standard interfaces.
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Our services
We build your AI Factory for Insurance with you.
TIMETOACT GROUP has a lot of experience in the disciplines of Artificial Intelligence, Information Architecture, Machine Learning, Data Science, Automation and DevOps. With the successful integration of these skills, we help insurers build their AI Factory for Insurance and develop it step by step.
- Design of business use cases
- Creation of business models and training
- All aspects of data engineering
- Data Governance and Master Data Management
- Machine Learning Operations
- Advice on tool selection
- Licensing, installation and configuration of software
- R/E and B/E application development
- Automation and system integration
Our approach to using the AI Factory for Indurance:
If you decide to use the AI Factory for Indurance, we will go through these steps. It is important to us to keep the technical depth for you as low as possible.
Get started with the AI Factory in a Discovery Workshop!
For a fast start, we recommend a half-day discovery workshop, which we currently also conduct online and customise according to your needs.
After an initial briefing with innovation examples and use cases from insurance practice, the exploration of use cases takes place with a view to the priorities and ambitions of your company as well as the evaluation of cost-benefit aspects. Finally, the most relevant use case is selected and solution options are considered (across tools and manufacturers) for rapid implementation to a minimum viable product.
Contact us now for a Discovery Workshop or a no-obligation exchange!
Watch our AI Factory webcast:
In the webcast, you will learn why the topic of artificial intelligence is so important for insurers. We explain what the AI Factory for Insurance is exactly and which five elements make up the Factory. We will then show you how it can be implemented in insurance companies and how it can be integrated into other/similar initiatives.
Speaker: Michael Ehrmantraut (IBM)
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Data Integration, ETL and Data Virtualization
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Business Intelligence
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Data Science, Artificial Intelligence and Machine Learning
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Dashboards & Reports
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Operationalization of Data Science (MLOps)
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Data Governance
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Demand Planning, Forecasting and Optimization
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Conception of individual Analytics and Big Data solutions
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FinOps
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FinOps Consulting
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FinOps Microsoft - Microsoft Cloud Cost Optimization
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Microsoft Azure Synapse Analytics
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IBM Cloud Pak for Data Accelerator
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Decision Optimization
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Demand Management – Clarity on IT needs
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Microsoft SQL Server
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Microsoft Azure
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vdek introduces new Data Warehouse solution
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IT Controlling – Determination and allocation of IT costs
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Data Vault Modeling Approach
Jira Service Management from Atlassian
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Standardized data management creates basis for reporting
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IBM Cloud Pak for Data
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IT Asset Management – Reducing Costs and Risks Sustainably
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Big Data, Data Lake & Data Warehousing
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Bamboo, Bitbucket, Sourcetree
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Database technologies
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IBM SPSS Modeler
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IBM InfoSphere Information Server
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Enterprise Content Management (ECM) & Archiving
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IBM Cloud Pak for Automation
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IBM Cloud Pak for Application
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IBM Cloud Pak for Data System
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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IBM Planning Analytics mit Watson
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Enterprise Service Management
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Managed service support for optimal license management
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Flexibility in the data evaluation of a theme park
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IBM Watson Studio
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Talend Real-Time Big Data Platform
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Talend Application Integration / ESB
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Enterprise Content Management (ECM) & Archiving
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IBM Db2
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IBM Netezza Performance Server
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Talend Data Fabric
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IBM Cognos Analytics 11
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Microsoft Power BI
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Talend Data Integration
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Anwendungsmöglichkeiten
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Our service offer for Mendix
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IT strategy – A clear goal and the way to achieve it
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