Knowledge Management-Software for Industrial Machine Service

Knowledge Management-Software for Industrial Machine Service toiteallikaks on FINDIQ GmbH

FindiQ on esimene ülemaailmne tööstusliku teadmiste intelligentsuse platvorm, mis kogub ekspertteadmisi, digiteerib need kasutusjuhtumitele spetsiifilisteks tehisintellekti mudeliteks ning muudab need täpseks, korratavateks hooldus- ja tõrkeotsingujuhisteks teenindus- ja operatsioonimeeskondadele kogu maailmas. Saksa inseneride poolt disainitud ja ehitatud ning Auxxo, HTGF ja Senovo toetusel aitab FindiQ uuenduslikel tootjatel nagu Clarios, Elopak, Kulicke & Soffa ja Siemens parandada tootmise kvaliteeti, standardiseerida diagnostikat ja remonti ning mõõta tehnikute võimalusi masinates, liinides ja kohtades, olenemata sellest, kas töötavad kohapeal või muudavad tootmist piiriüleselt. Lisateavet leiate aadressilt www.findiq.com.

Avasta FINDIQ GmbH

Miks Retain tribal knowledge today, boost productivity tomorrow?

Our solution is a specialized AI-solution for knowledge-transfer in industrial service environments, where wrong answers cost time and money. As a lot of experienced people will retire in the next years, fluctuation in productions increases, and at the same time, less younger people want to work as machine operators or service technicians - an irreversible knowledge gap develops. findIQ closes this gap by offering the first solution to digitize, process, optimizie and assist with tribal knowledge. findIQ's Digital Service Expert helps with executing machine service at an expert level, in a world without experts, anytime and anywhere. This helps machine suppliers and service providers to still increase the service capacity and business and the machine operators to benefit from faster reactions and less downtime. Handling all edge cases of the industrial world (e.g. complexity, no data access) during a PoC, findIQ's software mostly becomes the global machine knowledge system afterwards.

Eelised

Increased productivity (of productions, maintenance and service teams) by sharing tribal knowledge of "service experts" to anyone, especially the next operators and service generation
Decreased machine downtime and downtime costs in production through faster reactions to machine and process failures (e.g. by self-service directly at the machine)
Increased capacity and scalability of service businesses through the digitization of service knowledge and sharing it to global partners or even end customers

Soovitatavad Võimalused

Knowledge Hub

Structure, centralize & manage expert knowledge (incl. automated integration of explicit information into knowledge base)

Service Guide

Access & use knowledge for operational assistance (translation of knowledge base into dynamic step-by-step guidance)

Field Echo

Feedback, update & optimize knowledge base (transparent self-optimization based on selective real-world service cases)

Insights Panel

Leverage operational use to strategic impact (automatically derived company wide potentials & recommended actions)

findIQ AI model

Integrating the above-mentioned features by an own, model-based AI, which provides reliability, clarity, and performance in real world service environments, where wrong answers cost time and money.

Reaalse Maailma Rakendused

24/7 Self-Service for SME machine builders

findIQ's customers like OPTIMA, Kannegiesser, SOLLICH or Holmer use findIQ's Digital Service Expert to not only preserve the tribal knowledge of their retiring service technicians and secure their service capacity, but to also provide it as a 24/7 digital self-service solution to their customers