The world’s leading enterprise asset management solution ensures the maximum efficiency of your most critical assets and resources.
IBM-Maximo combines the power of IoT data from sensors and machines, and the field knowledge of technicians and operators, to reduce unexpected downtime on your assets, and increase operational efficiency. With this data, IBM-Maximo provides near real-time visibility of asset use at many sites, extends the life of equipment, improves return on investment, guarantees predictive maintenance, and thus differentiates new purchases.
IBM-Maximo is used for maintenance and inspection operations by thousands of technicians. This massive use in the field generates structured, high-value data flows for industrial analysis.
The addition of proximity Smart Vocal Assistance services to IBM-Maximo expands the capabilities of your technicians to use the software.
IBM-Maximo can be used by operators to help them track their tasks. The software can be installed on tablets or PCs. But…
IBM-Maximo is not always used to the fullest of capabilities by field technicians. The industrial consequence is that the data collected is not always of good quality, sometimes missing, or poorly structured.
The addition of Intelligent Voice Assistance skills allows:
Expanding IBM-Maximo’s field of use with the addition of proximity Smart Voice Assistance skills means allowing the technician to continue using the software 3 meters away, or away from his computer support.
Voice interaction with IBM-Maximo becomes natural for your technicians.
You know IBM well, you have been using their solutions for several years. The legitimate question you ask is:
Why not use IBM’s smart voice support features like Watson-IOT or EMA(Equipment Maintenance Assistant)?
We suggest you make the most of Watson-IOT and EMA’s capabilities!
EMA uses Watson’s power to guide the technician in identifying and resolving problems. To this end, EMA is able to search manufacturers’ documentations, technicians’ notes or maintenance history, in order to submit one or more solutions. These solutions are proposed with an index of confidence. Once the failure has been repaired, the technician will in turn note the assistant, in order to assess the relevance of the proposed solutions and enrich the model.
This business guidance is very powerful, and can be operated by all your technicians at their workstations, thanks to a Vocal Assistant who manages the expert operator/system interface. That’s what SIMSOFT INDUSTRY offers you to do!
The voice support offered by SIMSOFT INDUSTRY helps manage the interface between the technician and the IBM-Maximo environment:
The logistics of the last few inches!
SIMSOFT INDUSTRY takes a user-centered approach. That is, all the constraints related to the position or the work environment are taken into account. The main constraints are:
The added value of SIMSOFT INDUSTRY is to take into account all of these constraints, all available technologies, and to provide an operational solution coupled with IBM-Maximo at the workplace.
The interface between SIMSOFT INDUSTRY’s “Spix.SKILLS” Intelligent Voice Assistant and IBM-Maximo’s EAM/GMAO software solution is by delegation.
The principle of delegation is simple:
The interface is built at IBM-Maximo’s lightweight client level to ensure greater compatibility of Spix.SKILLS’ voice interactions with IBM-Maximo’s back office.
Demonstration of Spix.SKILLS services in IBM-Maximo: the operator cannot see his screen, he performs all his operations guided by the Vocal Assistant and verifies his report at the very end of the intervention.
The “Spixify Your Maximo Program” aims to quickly deploy Vocal Support services in your IBM-Maximomaintenance application, ensuring the acceptability of your technicians.
Why not give all your technicians the power of IBM?
IBM Watson and EMA are fabulous tools for predicting, helping to make decisions, answering questions from your technicians. To make them available to your technicians in the field, Spix.SKILLS functions can be expanded with an interface at IBM Watson.