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Source: Capital avec Management as of 14-04-2020

The basics of AI  appear to be  well established  and  unlikely to make major  changes in the short  to  medium  term.. Focus  on  the improvement  and variations of existing technologies. .

According to a top 15 made  by  Linkedin, “artificial intelligence engineer” will be the second  most sought-after profession  in France in  2020,  especially  in info-com, computing and the l’info Web. The sector  is booming. Finland,which  was at the head of the European Union until 31 December,  has announced that it wants to  introduce  1% of  European citizens  to AI free of charge,  so that the Old Continent will be better equipped  in  the future.  But for  what functions?    

In his blog post, 20  Predictions  and 0 Bullshit, AI consultant and  teacher Eytan  Messika argues that two major  areas  will grow in  2020:  those  related to basic research – the  basics in other  words – and those related to functions peripheral to new applications. The  development of autonomous cars,  he writes as  an illustration, leads to “the  creation of microservices such as vision software  (Mobileye), sensors (Velodyne), simulation platforms  (Cognata) to support this new market”.” In the same spirit, data protection and ethics services would be expected to expand in  2020.

In general, the air of the time is to en implement. “The fundamentals of AI should   not  change or  little,”   explains AI scientist  Jean-Claude  Heudin.  Much of the  innovation  will  come  from the  development  or   declination of existing technologies.” According to  Renaud Champion,  director  of the New Intelligence division  at  EM Lyon Business School, everything  related to human-machine  interactions is already accelerating.  “Chatbots -t-il are  adopted  everywhere,”  noteshe, on the websites of banks,  insurers, mutuals, in reception halls,  train stations,etc.”

These conversational agents  allow you to quickly  give some simple information to potential customers.   But don’t  expect  them to really have discussion! “It still seems a long way off, the current issue is more on the side of the customer relationship”, argues  the specialist. Software capable of quickly giving an appropriate answer, to a person’s  questions or behavior, can trigger a purchase,  a subscription or even a subscription.

“Cobotic”and diagnostic aid

“Relatedly,  the collaborative robot  –  also referred to  as “cobotics”- is exploding  in  the industry,” continues Renaud  Champion. Before, the   tendency  was to use on one side large machines,  as on assembly lines, and  on the other    supervisory  personnel, for everything related  to logistics,for  example.. Today,things seem less cleavage.” Machines of  all  sizes, packed with sensors and more or less  autonomous systems, assist staff at all  levels: technicians, operators, production managers…  

Anything that  optimizes  the flow of goods is  popular. “The main limitation to these technologies,” says Renaud Champion, “is  gripping” is to grasp  something.   Indeed,  machines do not have  the  flexibility  and adaptability of human hands, which  limits their  deployment  in  certain  sectors  of  agri-food, for example.  “However,”he  continues,  “all industrial applications  to reduce work hardship are expected to  develop  in  the  short to  medium term.”  

Declinations are also  multiplying in the health sector.  Everything related  to image  analysis – radios, scanners, etc. – and  therefore  diagnostic  aid, benefits from the progress  of  deep learning  in  recent    years.  “Ai-assisted medicine  is becoming democratized,”  adds  Renaud Champion, pointing to the rise  of  surgical robotics. Surgeons use small AI systems to prepare an  operation, simulate  a gesture or refine their  own   practice.”

Manufacturers  should  also  develop   tools to shorten  the duration  of   examinations, to support patients more  effectively  and to better  manage  patient flows. Some  hospitals are considering using  AI to diagnose “bobology”at the entrance  to  emergency departments, or to monitor  patients remotely  through automated alert systems –   and  thus  relieve congestion in services… For Jean-Claude  Heudin, the human being  is still  indispensable. “The  clinical validation of  these  kinds of    tools  is not for tomorrow, it will take  a lot of time for  this to be  fully integrated into  a care protocol,   if at  all  possible one day.”


More generally,”many issues  will revolve around  the integration of  these technologies into our work or our daily life”, notes  this specialist. The autonomous car, for example, is in itself almost  ready..  But  the  urban network is not  configured to accommodate their  traffic:  a technological infrastructure,  but also cultural, will have to be designed and democratized in the years to come..  This is the whole problem  of the smart  city:  systems for capturing, analyzing  and transmitting urban data should be developed to allow AI to better interact with  their environment..

Similarly,”in companies, I  am  regularly asked  to  facilitate the acculturation of executives,” says  Jean-Claude  Heudin.. According to him,  the AI  today is a bit like the Internet or digital  yesterday: all   the boxes will use it  tomorrow to varying degrees, sometimes in a very  basic way  and without  necessarily making it a business in its own  right. “In personnel management,  for  en example, it is clear that we are going to use more and more partially automated tools of matching, training or mobility.” Humans  will retain  a   leading role, but will be able  to offload the most repetitive tasks  and  focus on the   higher-level   functions. “It will take time, because it is  also a cultural upheaval.  But  everyone  will come,” concludes  Jean-Claude  Heudin..

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