Blended Learning and the Metaverse – Interview with Wilma Hartenfels

As part of our podcast series “Innovative Training in Sales and Insurance”Wilma Hartenfels interviews Philippe Séjalon on “Seamless Blended Learning”, the Metaverse and the future of training.  

Wilma: “Today I’m talking to Philippe Séjalon. Together with his brother Patrice and another founder, Marion, Philippe founded Ingage several years ago. Ingage brings innovative and immersive training experiences to the still quite traditional insurance industry.

Our interview (in English, with an introduction in German) is about the potential of the metaverse as a new stage of development of the Internet. Philippe explains how he brings together various disruptive technologies such as VR, AR, Blockchain, NFTs and crypto in a Seamless Learning approach to increase learner engagement.”

Listen to this podcast! (see the Wilma Hartenfels’ podcast

If you like it, please share it! We are also looking forward to your comments. Thanks in advance. 

   

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The Insurance Metaverse?

You have probably heard about the Metaverse, but what is it actually? 

Well, there are different views on what a Metaverse is, and obviously as many definitions. According to Wikipedia

A metaverse is a network of 3D virtual worlds focused on social connection. In futurism and science fiction, it is often described as a hypothetical iteration of the Internet as a single, universal virtual world that is facilitated by the use of virtual and augmented reality headsets.

In short: while the Internet – or more precisely the World Wide Web – contains websitesthe Metaverse contains virtual worlds (also called digital worlds). You can also look at the Metaverse as the next version of the Internet, a 3D World Wide Web!

Now, imagine websites about insurance, from insurance companies and other players in the industry. Would they become virtual worlds dedicated to insurance in the Metaverse? Would insurance companies create digital “islands” in the Metaverse as global brands such as Nike did over 10 years ago in Second Life? 

What is your definition of the Metaverse? 
According to you, will there be a Metaverse for insurance? 

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Films where insurance plays a role!

What if you could onboard your new recruits and teach them about insurance thanks to Hollywood films – and others?

    

Would you think that insurance is a hot topic for Hollywood or Netflix? Probably not… however, insurance has been a great source of inspiration for movies. Here is a non-exhaustive list of films and series where insurance plays a role: 

  1. A Life at Stake
  2. Alias Jesse James
  3. Automata
  4. Cedar Rapids
  5. Double Indemnity
  6. Entrapment
  7. Evil Under The Sun
  8. Groundhog Day
  9. Lucifer 
  10. Memento
  11. Roadblock
  12. Save the Tiger
  13. Sicko
  14. Sleuth
  15. Strange Bargain
  16. The Big White
  17. The Incredibles
  18. The Killers
  19. The Last Seduction
  20. The Postman Always Rings Twice
  21. The Rainmaker
  22. The Truman Show
  23. To Catch a Thief

    

If you have some other titles to add, please let us know. Thanks in advance! 🙂

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Traditional Insurance Companies moving to 100% remote initiatives.

Author: Juan D’Alessandro

Spain is used to long working days. It’s normal for employees to start at 9 or 9.30 and finish around 20:00 – It does include a nice lunch break from 13:30 to 15:00 though. This also applies to the insurance industry there of course.  

Today, I would like to speak about Liberty in Spain. As you know, Liberty is a traditional US insurance company. Not exactly a startup! They have a very long-standing experience in the industry and could be considered quite conservative.  

Now, things might be on their way to change. Indeed, Liberty Seguros (Liberty in Spain) will allow its 2,000 employees in Europe to telecommute permanently. They are investing heavily on technology to adapt to the new normal and improve their employee’s experience. This will allow their workforce to become ‘digital nomads’ around Spain. You can expect to hear about engagement and training platforms that they will be deploying to address their new needs. 

However, some senior managers around the world still doubt the remote working model. It is a great model, but it is not for everyone. 

At INGAGE, we have been a ‘digital-first’ company from the start. It is in our DNA. We help our clients digitize their training, their academies. We address their needs to generate content in a very dynamic way that will be available on demand for their employees, clients and salesforce. We look forward to seeing Liberty Spain’s result at the end of the year. 

Source (in Spanish): https://elpais.com/economia/2021-03-11/liberty-seguros-permitira-a-sus-2000-empleados-en-europa-teletrabajar-permanentemente.html 

 

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Insurance training is boring?

Most of us have been through corporate training, in companies’ meeting rooms, training centers or convention halls. There, even if the training sessions were not always interesting, the advantage was that you could meet new people, do some networking and at least have breakfast or even lunch. Hot coffee and warm croissants… it’s not that bad after all. What about the Return on Investment for that training? Well… 

Since the COVID spread around the world however, training has substantially evolved and gone online at a previously unseen pace. Companies that were only talking about digitization now had to do it! Under time pressure. Many companies were not ready and had to put together some online courses within a very short timeframe. As for the level of quality and engagement, well… 

In both cases, learners find the training sub-optimal, not to say totally boring. If 5% of your learners finish your online courses, it’s normal. No, it’s not! If you have the right management buy-in and the right online training, you should aim much higher. 

Does it have to be that way? Really?
Young talents expect – and deserve – more than this! We all love learning.

Alright, alright, but “some topics are more interesting than others”, “Insurance is dull, it’s boring.” Really?
Protecting the people you love and the things you like is boring? Insurance is connected to anything we do. There are countless beautiful or tragic stories related to insurance.

Besides, ANYTHING can be made interesting. It’s all about your state of mind… 

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Utilización de Inteligencia Artificial para lograr eficiencias en el proceso de suscripción de líneas comerciales.

Guest Author: Juan D’Alessandro

Las Compañías de Seguro comienzan a poner los datos a trabajar para ofrecer a sus clientes productos innovadores. La ciencia de los datos, impulsa la automatización de procesos repetitivos y provee más conocimiento para, al final del día, ofrecer un servicio personalizado a los clientes aumentando su satisfacción y relación con la marca.

Para empezar, vamos a repasar que es la Inteligencia Artificial. En 1956, John McCarthy acuñó la expresión «inteligencia artificial» como «la ciencia e ingenio de hacer máquinas inteligentes, especialmente programas de cómputos que reúne características y comportamientos asimilables al de la inteligencia humana. Una definición mas actual que se adapta a la realidad es la siguiente: la capacidad de un sistema para interpretar correctamente datos externos, para aprender de dichos datos y emplear esos conocimientos para lograr tareas y metas concretas a través de la adaptación flexible.

Sin duda, adoptar una estrategia integral sobre el manejo de la información es vital para garantizar el correcto funcionamiento de los modelos desarrollados y su resultado. Este es el principal desafío de las compañías. Recolección, transformación, clasificación y almacenamiento es esencial para poner en practica estos modelos. El origen de los datos pueden ser fuentes externas como redes sociales o internas (formularios, histórico de siniestros y primas).

Algunos casos de impacto de esta tecnología en la industria:

  • Reducir el tiempo dedicado a tareas repetitivas. Estas tareas simples que ocupan un gran porcentaje del tiempo de los equipos de Suscripción, Operaciones, Siniestros pueden ser realizadas por modelos entrenados.
  • Ofrecer un servicio personalizado a sus clientes y corredores anticipándose a sus necesidades. Conocer mejor a los clientes.
  • Desarrollar nuevos canales de venta utilizando el IoT
  • Mejorar el resultado de la compañía implementando modelos de detección de siniestros fraudulentos. 

Estos son solo algunos ejemplos propios de la industria. También existen productos ya operativos en otras industrias (fintech, ecommerce) que se están adoptando como Chatbots, Manejo de recursos humanos, etc.

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Insurance 2030

McKinsey report

The industry is on the verge of a seismic, tech-driven shift. A focus on four areas can position carriers to embrace this change.

Welcome to the future of insurance, as seen through the eyes of Scott, a customer in the year 2030. His digital personal assistant orders him an autonomous vehicle for a meeting across town. Upon hopping into the arriving car, Scott decides he wants to drive today and moves the car into “active” mode. Scott’s personal assistant maps out a potential route and shares it with his mobility insurer, which immediately responds with an alternate route that has a much lower likelihood of accidents and auto damage as well as the calculated adjustment to his monthly premium. Scott’s assistant notifies him that his mobility insurance premium will increase by 4 to 8 percent based on the route he selects and the volume and distribution of other cars on the road. It also alerts him that his life insurance policy, which is now priced on a “pay-as-you-live” basis, will increase by 2 percent for this quarter. The additional amounts are automatically debited from his bank account.

When Scott pulls into his destination’s parking lot, his car bumps into one of several parking signs. As soon as the car stops moving, its internal diagnostics determine the extent of the damage. His personal assistant instructs him to take three pictures of the front right bumper area and two of the surroundings. By the time Scott gets back to the driver’s seat, the screen on the dash informs him of the damage, confirms the claim has been approved, and that a mobile response drone has been dispatched to the lot for inspection. If the vehicle is drivable, it may be directed to the nearest in-network garage for repair after a replacement vehicle arrives.

While this scenario may seem beyond the horizon, such integrated user stories will emerge across all lines of insurance with increasing frequency over the next decade. In fact, all the technologies required above already exist, and many are available to consumers. With the new wave of deep learning techniques, such as convolutional neural networks,1 artificial intelligence (AI) has the potential to live up to its promise of mimicking the perception, reasoning, learning, and problem solving of the human mind (Exhibit 1). In this evolution, insurance will shift from its current state of “detect and repair” to “predict and prevent,” transforming every aspect of the industry in the process. The pace of change will also accelerate as brokers, consumers, financial intermediaries, insurers, and suppliers become more adept at using advanced technologies to enhance decision making and productivity, lower costs, and optimize the customer experience.

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Lloyd’s, the “Market”

Visiting the “Market”

Lloyds is the world’s specialist insurance and reinsurance market.

After two days of great meetings in London, my colleague Ali Hauser kindly organized a visit of Lloyd’s for me. Rachel was a great guide! She explained me that the bell you see on this photo rarely rings. Luckily! Indeed, when it rings once, it means that a tragic event has taken place somewhere in the world: ship has sunk or disappeared for example. When it rings twice however, it means that it is found again! Only the “Head Waiter” has the right to ring the bell.

 

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Jornada de Seguros

The Insurance Day in Buenos Aires

The Insurance Day took place in Argentina this year on May 22.

The key topic were digitization, disruption, Artificial Intelligence and Big Data.

As the behavioural economist Dan Ariely once tweeted, “Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.”

 

 

 

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