Task: Plan transport routes quickly and efficiently
One of our customer's core processes was a largely manual task: employees spent a lot of their time planning truck routes as efficiently as possible. A task that each user solved differently. Our goal was to standardize this process and thus save valuable resources.
Solution: Flexibly deployable prototype for automation
With the involvement of data scientists, internal business process analysts, and the users who would work with our solution, we developed an automation prototype that could be seamlessly integrated into the company's IT infrastructure.
We took over all phases of the project development - from the needs analysis to the planning and development of the prototype to the complete system integration and training of all employees who were to work with the finished solution.
Result: More efficient and user-friendly processes
We developed a reusable data science model that can be integrated into any infrastructure with little effort. Analyzing UI usage at an early stage helped us identify and integrate the most important functions in advance.
When it comes to automation processes, it is not always easy to reconcile the company's goals and the users' wishes. However, rapid iteration with fast feedback loops resulted in motivated prototype users and a solution that everyone is happy with.
Goals achieved
Conducting a user survey and an in-depth needs analysis beforehand
Planning incl. UI/UX Strategy, Dev Ops, Model Wrapping and Data Engineering
Development of an automation prototype and integration into the IT system
Training and consulting of the Data Scientists as well as all employees on site
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Standardized data management creates basis for reporting
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IBM Cloud Pak for Data – Test-Drive
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IBM Cloud Pak for Data Accelerator
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Part 1: Detecting Truck Parking Lots on Satellite Images
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State of Fast Feedback in Data Science Projects
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Boosting speed of scikit-learn regression algorithms
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Part 1: TIMETOACT Logistics Hackathon - Behind the Scenes
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Part 2: Detecting Truck Parking Lots on Satellite Images
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Creating a Cross-Domain Capable ML Pipeline
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Interactive online portal identifies suitable employees
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vdek introduces new Data Warehouse solution
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Demand Planning, Forecasting and Optimization
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Talend Real-Time Big Data Platform
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Operationalization of Data Science (MLOps)
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Talend Application Integration / ESB
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Decision Optimization
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IBM Cloud Pak for Data
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Talend Data Integration
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IBM Cloud Pak for Automation
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Conception of individual Analytics and Big Data solutions
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IBM Cloud Pak for Application
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IBM InfoSphere Information Server
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Dashboards & Reports
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Business Intelligence
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Data Science, Artificial Intelligence and Machine Learning
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Microsoft Azure
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Talend Data Fabric
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IBM SPSS Modeler
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IBM Db2
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IBM Netezza Performance Server
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IBM Watson® Knowledge Catalog/Information Governance Catalog
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IBM Watson Studio
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Machine Learning Pipelines
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Strategic Impact of Large Language Models
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How to gather data from Miro
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Onboarding solution of TIMETOACT
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License Plate Detection for Precise Car Distance Estimation
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AI Contest - Enterprise RAG Challenge
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Common Mistakes in the Development of AI Assistants
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Flexibility in the data evaluation of a theme park
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ChatGPT & Co: LLM Benchmarks for January
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ChatGPT & Co: LLM Benchmarks for November
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ChatGPT & Co: LLM Benchmarks for December
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ChatGPT & Co: LLM Benchmarks for September
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Talend migration in record time
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IBM Planning Analytics mit Watson
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ChatGPT & Co: LLM Benchmarks for October
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Digitized processes increase efficiency
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24/7 support guarantees stable operation of the intranet
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Recertification solution of FI-TS
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Introduction of Jira to Hamburger Hochbahn
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Smarter mobility with the portal switchh
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8 tips for developing AI assistants
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Central service monitoring at Vodafone
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