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AI Use Cases
synvert Accel­er­at­ors
Sonnenkollektoren und Windkraftanlage
Suc­cess stories

Innogy  - Devel­op­ment of vari­ous ML use cases with AWS

Go back to success stories

Brief his­tory

Innogy oper­ates dis­tri­bu­tion grids, sells energy and gen­er­ates most of its elec­tri­city from renew­able ener­gies. The com­pany is primar­ily act­ive as a grid oper­ator and in energy sales. The com­pany also plans, builds and oper­ates elec­tri­city gen­er­a­tion plants, primar­ily wind power plants (onshore and off­shore), hydro­elec­tric power plants and photo­vol­taic plants.

Goals & challenges

  • Devel­op­ment of com­plex ML models
  • Auto­mated deploy­ment of mod­els via Amazon ECS
  • Con­tri­bu­tion of phys­ical expert knowledge
  • Coach­ing of internal data scientists
  • AWS-Best-Prac­tices

Key points

  • Use and integ­ra­tion of a vari­ety of dif­fer­ent data sources (geodata, sensor data, optical and infrared images, weather data, etc.)
  • Re-eval­u­ation of data col­lec­tion pro­ced­ures to cor­rect iden­ti­fied prob­lems in the data sets for the future
  • Exe­cu­tion of data engin­eer­ing tasks in the AWS
  • Close cooper­a­tion with end users to ensure the use­ful­ness and sub­sequent accept­ance and use of the developed solu­tions from the outset
  • Sub­tasks required a sig­ni­fic­ant fur­ther devel­op­ment of the “usual” algorithms (e.g. fea­ture detec­tion on low-struc­ture surfaces)

Ser­vices accom­plished by synvert 

As a com­pet­ent part­ner, synvert has provided the fol­low­ing services:

  • Devel­op­ment of vari­ous use cases (hydro­power plants, wind tur­bines and e‑mobility)
  • CRISP-Work­flows
  • „The Data Sci­ence Pro­cess“ – Meth­od­o­logy (Busi­ness Under­stand­ing, Data Under­stand­ing, Data Pre­par­a­tion, Mod­ell­b­ildung, Fea­ture Engin­eer­ing, Eval­u­ation, Deployment)
Categories
All
Tech
Banking
Communications, Media & Telecom
Consumer Goods & Retail
Energy & Resources
Health & Life Science
Industrials
Insurance
Public Sector

Vehicle Data Store

Soft­ware­Fact­ory at a lead­ing auto­mot­ive soft­ware company

DevX Impact at a HR-Tech Company

Driv­ing Inter­na­tional Expan­sion for a Lead­ing E‑Commerce Company

Accel­er­at­ing Cloud-Nat­ive Devel­op­ment in the Auto­mot­ive Industry

Retail Com­mis­sion Dia­gnostics Anom­aly Detection

Set­ting up a Reli­able and Power­ful Platform

Pre­dic­tion of cus­tomer prob­ab­il­ity to churn

Early Detec­tion of Mech­an­ical Issues

NLP​ in Auto­mot­ive Reporting

Oper­a­tional Data Lake

Real-Time Mar­ket­ing

Auto­matic clas­si­fic­a­tion of cars by their model

Dies­el­tech Program

Data Recon­cili­ation

Cent­ral­ized Data Warehouse

Data as a Ser­vice – BI & Big Data CC

Oper­a­tional Work/Support in Data Warehousing

Erosion Detec­tion with Com­puter Vision

Devel­op­ment and Imple­ment­a­tion of a Fully Auto­mated MLOps Platform

Pre­dic­tion and Alloc­a­tion Optim­iz­a­tion for sta­tion­ary Channels

Build­ing a Near Real-Time Recom­mend­a­tion System

Migra­tion AWS data plat­form to Google Cloud

Design and Devel­op­ment of a Google Cloud-Based Data Platform

Refact­or­ing, shift and new devel­op­ment of Data Ser­vices in Google Cloud

Estab­lish­ment of a Mas­ter Data Man­age­ment Foundation

Cent­ral Data Lake

Replace­ment of a com­plex IBM Data­stage structure

CRM ana­lyt­ics and lead management

Stand­ard­iz­a­tion of eval­u­ation processes

Devel­op­ment of an ERP data hub

Estab­lish­ment and fur­ther devel­op­ment of a DWH

Devel­op­ment of a group-wide BI platform

Estab­lish­ment of a new sales report­ing system

Source data migra­tion with auto­ma­tion of the source data connection

Cloud self-ser­vice BI for data-driven cor­por­ate management

Devel­op­ment of vari­ous ML use cases with AWS

Replace­ment of an in-house soft­ware development

Com­pany-wide data integration

Imple­ment­a­tion of real-time data links

Smart Data Catalog

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