The industry of the future seeks its voice: industrial voice assistant

The industry of the future is looking for its vocal way!

Industry 4.0 by Simsoft industry

The European industry is committed to a high-speed digitalisation process. All sectors are impacted by different industrial innovations, many of which are developed in artificial intelligence. SIMSOFT INDUSTRY’s intelligent voice assistants are part of this digital wave that will change the way we work in the production and industrial maintenance sectors.

Industrie du future et technicien connecté

The main objective of the developments in the industry of the future is to enable industrial companies to restore their operating margins by reducing costs. Reducing the cost of producing or maintaining the productive device allows companies to remain competitive in the face of external threats. The digitalization of different tasks should achieve this goal.

A significant part of the production costs in Europe is related to labour. Industrial innovations are therefore dedicated to optimising labour costs. For example, tasks with low technical value must be reduced, travel times must be limited, and non-quality related to misinterpretation of instructions or instruction sheets must be eliminated.

At the same time, technicians, operators and industrial maintenance workers must be strengthened in their trades, and reassured in their digital interactions. This will allow them to be more efficient in carrying out their tasks and satisfied with their work environment.

The deployment of intelligent voice support services at desktops contributes to the development of the industry of the future and to the satisfaction of technicians and field operators in their digital transformation.

Assistant virtuel et intelligence artificielle

Artificial intelligences capable of interacting by speech are becoming better by the day, constituting a technological revolution. This progress has been enabled in particular by significant advances in speech recognition. Very recently, over the period 2014-2015, new systems were born, capable of answering a wide range of complex questions.

So, two years ago, the only people using voice control apps (e.g. Apple’s Siri) did it for laughs, asking absurd questions and sending the software’s answers to their friends. Today, an increasing number of users are starting to use this type of day-to-day technology for certain basic tasks: calendar, music, stopwatch, countdown, etc.

These advances have also led to the rapid development of virtual assistants, the most famous being Siri at Apple, Cortana at Windows and Google Home at Google. China’s tech giants are no exception: Alibaba, Tencent, Baidu and Xiaomi are on the list. This proliferation of specialized virtual assistants raises the question of the future of these artificial intelligence technologies in a still young market.

Are we heading towards a myriad of ultra-specialized artificial intelligences, or on the contrary, a market dominated by a super-assistant capable of performing every task imaginable? The answer is probably somewhere in between. First of all, it is necessary to distinguish between horizontal and vertical assistants. The first, on the models of Siri, Cortana or Google Home, are versatile but unable to carry out a specific mission. Vertical assistants, on the other hand, specialize in a single mission, which they may take a while to complete. It is likely that we are moving towards a market for oligopolistic horizontal assistants, dominated by the big names in new technologies: Google, Apple, Facebook, Amazon and Microsoft in the lead.

However, it is very unlikely that any of these actors will be able to design a virtual assistant in a position to ensure all possible and imaginable specializations. “A central artificial intelligence, capable of performing immediate actions and answering questions, has undeniable utility, but it is completely different from assistants focused on a trade, capable of carrying out a mission over several hours to several days, and returning to their user after managing the various ins and outs.” As for attacking the emerging market of the industry of the future, it’s a different story!

Intelligence artificielle et industrie du futur

The recent implementation of platforms and basic standards from which everyone can build their own virtual assistant with a solid foundation is interesting. However, technology bases such as IBM-Watson or Amazon Web Services do not effectively solve the problem of developing specialized virtual assistants to a trade and process.

Indeed, this specialization requires a deep mastery of the dialogue manager in natural language, at the service of a very intelligent assistant (because very professional) that do not allow the existing generic COMPUTER structures, based on limited APIs and therefore reduced possibilities of adaptation.

That’s why SIMSOFT INDUSTRY specializes in applying artificial intelligence technologies to serve the industrial innovations needed to bring about the industry of the future.

Assistance Vocale Intelligente et industrie du futur

Freeing the hands of technicians and allowing them to interact in natural language with their production and maintenance software is a way to ensure the success of a digitalization approach to the industry of the future. This is possible with Spix, SIMSOFT INDUSTRY’sintelligent voice assistant.

Spix is a 100% intelligent voice assistant dedicated to the technicians of the industry of the future. This assistant is developed with field operators, in partnership with large innovative industrial accounts.

For technicians to work effectively with the help of a voice assistant, and for the voice assistant to be intelligent in their work environment, it must have specific characteristics for industrial applications:

  • Natural Conversation: The Spix Intelligent Vocal Assistant allows your technicians to speak in natural language to trigger multiple actions or take up a set of information, as if they were addressing their co-worker.
  • Robust to the work environment: Spix and its associated audio devices have been developed to withstand the stresses of your work environment: noise, humidity, heat, dust, mandatory PPE wearing, prohibited frequency bands, etc.
  • Understanding your trades: Spix allows your technicians to use all the words and phrases used in their trade. It feeds on work instructions and all associated technical documentation.
  • Contextual intelligence: Spix understands a technician’s voice queries based on their work context, machine status, system data or tasks already performed, and those to be performed.

Industrie du futur et logiciels métier

The digitalization of the industry of the future requires the deployment of software solutions dedicated to the management of production or maintenance. These solutions such as SAP, SAP-ME, 3DS APRISO, 3DS DELMIA, IBM-Maximo, INFOR, CARL SOFTWARE, or O365 are dedicated to task optimization, technician guidance and information feedback.

With artificial intelligence, these solutions enable big data analytics that allow a better mastery of production tools. However, if these software are poorly or underutilized in the first place, the analyses do not work well.

Integrating voice support services into these business software restores technicians’ confidence in their digital interactions. This trust allows the generation of more data and therefore relevant big data analytics.


The process of digitizing the industry of the future will be a success if technicians and field operators are involved. This involvement in the transformation towards industrial innovations requires simplifying the interfaces between business software and technicians. Artificial intelligence voice assistants, dedicated to industry technicians, are an effective response to the success of the industry of the future.

The process of adapting and integrating SIMSOFT INDUSTRY’s voice support services into an industrial innovation approach is described in a “Spixify Your Industry” program. This program, broken down into two stages: acceleration and deployment experimentation, makes the work of artificial intelligence concrete for technicians. The choice of use cases, the consideration of industrial constraints and experimentation with operators are the key elements of the program.