Digital transformation technologies
Virtual reality is a form of technology that through the use of photos or 360° videos allows a person to enter into a digitally created artificial world or a completely imaginary world (3-D, much like in video games).
Applications in the Entertainment Industry Economy
In video games, sports and cinema, through the use of headsets or glasses, virtual reality enhances the immersive experience, and headset companies have placed their primary focus on video games.
Applications in marketing and advertising
Advertising constantly seeks out innovation for all types of companies, and virtual-reality mobile applications that enhance different products are just one example.
Applications in education
The aim of using immersive virtual reality in the classroom (in case studies for example) is to:
- Promote the development of professional skills: agility, creativity, analysis and advisory abilities through experience-based education
- Develop the intellectual agility of students in a constantly changing world by teaching them a diverse range of professional situations in the classroom
- Provide students with practical experience for emerging technologies that will be found in their future environment
- Encourage student involvement and improve their professional training through gamification
In 2016, NEOMA BS created the world’s first immersive management case study in marketing. Then it developed a second case study in 2018, this time focusing on logistics. Others are currently being developed in the areas of human resources and organisation.
This motivating sensory experience reinforces traditional learning methods and fosters the involvement of students who become actors in their own learning process.
AI, Artificial Intelligence, is an intelligent programme that possesses the ability to learn from various data that it analyses. AI algorithms are often used for enhancement functions by uncovering links in massive data sets or within unstructured data. AI can be used to manage customer interactions by responding to customer questions or performing predictive maintenance.
Applications in Finance
With the emergence of big data, AI has become even more relevant. More and more data is generated each day while our ability to process it also increases.
In the banking sector, where data analysis is a vital process, this technology changes the business, affecting trading, risk assessment, credit, portfolio management and financial analysis. For banking institutions, these tools are a way of reducing their structuring costs while increasing trading efficiency, customer loyalty and various market baskets.
EXAMPLES: Optimisation of financial consulting services: through programmes that draw fast and easily applicable conclusions for advisors (what is the financial product best suited for my customer?) or chatbots that generate an automated classification of leads and thus save time for advisors who can instead focus on concerns with higher added value.
In asset management: With the arrival of robot advisors on the market, there are services that provide 100% online portfolio management with minimal human intervention and are thus less costly.
Blockchain is a type of decentralised and completely secure information storage and transmission technology.
Applications in Finance
Its most well-known application is Bitcoin, which is a peer-to-peer payment system and cryptocurrency. However, there are many other cryptocurrencies: Ethereum, Litecoin, Ripple, Ada/Cardano as well as Facebook’s coming Libra currency…
Applications in responsible economy
For example, at the 2019 World Economic Forum in Davos, the WWF launched OpenSC, a platform that uses blockchain to closely track food supplies and products. It can determine a product’s origin, its environmental impact, the working conditions of the personnel producing it, etc.
Applications in logistics
In Supply Chain, the challenges involving real-time data recording and storage are crucial for the successful digitalisation of the logistics sector. Blockchain could play a central role in the development of logistics chains by guaranteeing flawless traceability.
Big data / Data analytics
Our new ways of life have created an explosion in the amount of digital data that we produce. Big data was therefore created to collect, store and share this data, and data analytics allows the data to be analysed and used.
Applications in marketing
The phenomenon of big data now represents an unprecedented opportunity for businesses to rethink their methods of innovation, communication, distribution and services in order to offer a better customer experience. More than ever businesses need marketing employees with analytical and predictive skills that allow them to better identify problems and make the best ROI decisions.
Applications in Finance
The financial industry uses big data for market predictions, portfolio allocations, credit/market risk management and operational risk management. Investment and fund management banks, insurance companies and consulting companies specialising in finance now need specialised data scientists.
Robotics has recently made spectacular progress, and its business applications have begun to emerge through RPA (Robotic Process Automation). RPA is the robotic automation of business processes in companies. This automation no longer affects just factories, but possibly all forms of managerial organisation.
Applications in Human Resources
Onboarding is a personnel integration process specific to HR activities, referring to how a new employee is welcomed and integrated into the company, and it is particularly well suited to RPA. Technically, the integration of a new employee requires a collection of simple but time-consuming tasks: creating a user account, an email address, a telephone line, providing access rights to various applications, etc. The automation of these tasks allows HR professionals instead to concentrate on other aspects with high added value: initial contacts, making interpersonal connections, personalised and individual explanations, etc.
Applications in Banking/Insurance
The banking and insurance sectors, whose activities are highly regulated, are the most likely to find value in RPA. In fact, it offers them the certainty of document and procedural compliance with regulatory restrictions.
Applications in Management
Corporate customer relations can also receive big returns from RPA’s advantages. Once robotic programmes take over processing frequent customer requests, employees can then focus on resolving more specific and complicated customer issues. There are many benefits to its use: increased employee motivation, better service and increased customer satisfaction.
The Internet Of Things relates to the interconnectivity between the internet and various objects as well as physical places and environments. These interconnections create a lot of data that can be analysed by AI and big data programmes. IoT has brought about the creation of its own data networks through Sigfox and Lora. These networks have lower energy costs than traditional GSM networks. The coming arrival of 5G should further expand the range of connected objects.
Applications in Marketing
IoT has an impact on consumer relations and thus product strategy. For example, sensors placed in stores can map customer flows in the sales area and then optimise display and product placement.
Also, survey terminals, which invite customers or users to give their opinion about the offered services, are simple applications that collect various information, which can be used to improve service—digital technology enters into real life.
SPoC: Institute for Smart Products, Organisation & Consumption at NEOMA
The shift towards to a “technosociety,” characterised by the increase in technological changes (artificial intelligence, automation, virtual reality, augmented reality, nanotechnologies, etc.) results in unprecedented social and economic destabilisation.
For businesses in every sector, these changes result in strategic, organisational, marketing and ethical changes that at least require adapting traditional perspectives or even creating new and more suitable ways of viewing and analysing the business landscape in order to understand these phenomena and guide effective decision making.
The mission of the research institute for Smart Products, Organisation & Consumption is to understand these techno-social changes and their impact.