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Understanding today's emerging ecosystems to anticipate opportunities

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International markets have become more unpredictable, with uncertainty and turbulence being particularly pronounced when individuals or companies start new ventures, enter new markets outside of Switzerland or compete in technology-intensive industries. creative with high speed.
This typically includes biotech, medtech, medical devices, telecommunications, cloud computing, advanced engineering, micro and service businesses, nanotech, virtual reality, mixed reality, augmented reality, drones , life sciences, health, mobile, social innovation.

The world is less predictable and this affects your regulations, your political environments, your regulatory environments, your market, your customers, your suppliers, your bank, your car insurance, your social insurances… It concerns in fact almost everything that a company could predict, foresee, plan carefully and execute with discipline.
In most companies and start-ups, established traditional approaches to strategy still assume that managers can "look deep" into the future, develop a long-term plan, are smart enough to have a "long-sight term” and a “long term plan” and implement it methodically over time.

There is plenty of evidence that established management tools and techniques don't work as well in unpredictable markets for obvious reasons (wrong revenue forecasts, wrong working assumptions, multiple versions of the fuzzy truth…) and companies have struggling to identify where the problem lies that come in to rectify.
So what needs to be done to replace old management tools and techniques?
Which model can create and protect value in highly unpredictable and changing environments?

Are you swimming, floating or sinking?

Even if it is always difficult to answer the question "where should we be positioned in 3 years' time", it seems clear that the strengths of artificial intelligence make it an essential ally. Of course, AI cannot do everything. Not every use case can be solved with AI. But doing without seems a perilous choice. It's better to start with one or two well-chosen use cases and develop skills that are likely to be in high demand on the market very quickly (Python....).

Some key trends in artificial intelligence

At least half of all organisations have adopted AI functions within their organisation. As organisations continue to automate day-to-day operations, AI is becoming increasingly important. Businesses are more digitally connected than ever before and working from home has sprung into action. The adoption of AI is limited to improving operational efficiency or operational effectiveness. It can also be harnessed to improve stakeholder experience. Let's take a look at some of the key trends expected.

Greater collaboration between cloud and AI

Artificial intelligence will play an important role in the widespread adoption of Cloud and Edge Computing solutions. By deploying AI, it will be possible to monitor and manage cloud resources and the vast amount of data available.

The number of AI solutions being developed for IT will increase. AI solutions capable of detecting common IT problems on their own and self-correcting malfunctions or problems will increase in the coming years. This will reduce downtime and allow an organisation's teams to work on highly complex projects and concentrate elsewhere.

Artificial intelligence will play an important role in the widespread adoption of cloud and edge computing solutions. Thanks to the deployment of artificial intelligence, it will be possible to monitor and manage cloud resources and the vast amount of data available.

The number of AI solutions being developed for computing will increase. AI solutions that can self-detect common computer problems and self-correct malfunctions or issues will see an increase in the coming years. This will reduce downtime and allow teams in an organization to work on very complex projects and focus elsewhere.

In recent years, the complexity of computer systems has increased. Vendors want platform solutions that combine more than one monitoring discipline, such as application, infrastructure, and network. IT operations and other teams can improve their processes
their decision-making and their tasks thanks to AIOps solutions and better analysis of the volumes of data reaching them. Now is a good time to find AIOps vendors that will drive collaboration across teams through end-to-end digital experiences, data correlation, and IT operations management toolchain integration.

As early as 2022, we will see more unstructured data being structured through natural language processing and machine learning processes. Organizations will take advantage of these technologies and create data that RPA or robotic process automation technology can use when it wants to automate transactional activity in an organization. RPA is one of the fastest growing areas of the software industry. The only limitation it faces is that it can only use structured data. With the help of AI, unstructured data can easily be converted into structured data, which can deliver a definite result.

ARTIFICIAL INTELLIGENCE WILL BECOME EASIER TO EXPLAIN

How can you trust when you don't fully understand? In the future, more emphasis will be placed on the ability to explain, simplify, illustrate through metaphor, on the popularization of concepts and on the democratization of the adoption of uses. As new data regulations come into play, trust in AI will be essential. This will involve understanding and clearly explaining how each feature will contribute to the final prediction or output of the machine learning model.

The rise of remote working, especially in customer service centers, presents a great opportunity to adopt automatic language processing or automatic speech recognition capabilities. Less than 5% of all customer contacts are subject to systematic quality control. Due to the lack of one-on-one coaching, organizations can use AI to perform routine quality checks on customer understanding and intent to ensure ongoing com

The future of artificial intelligence

How can we achieve interoperability while putting people at the heart of it all? How can we make sense of all the existing protocols? How can we take advantage of open standards in the buildings of today and tomorrow?

Yesterday, we gathered in the center of Geneva, and were warmly welcomed by Citizn coworking to discuss the subject of interoperability and open standards in buildings.

It was -10 outside, and the conversation obviously started with a discussion on heating systems that are more or less well controlled, more or less efficient, more or less polluting - it was topical!

After an initial round of introductions, Thierry Colignon gave us a historical perspective on interoperability, explained the 3-layer approach (Cloud, Building Infrastructure, Equipment), the importance of putting the user at the center, responsible management and digital security, and shared with us an overview of existing communication networks and protocols used in connected objects and buildings, and how they enable the implementation of existing solutions. In conclusion, Thierry shared with us his vision of interoperability.

Marjorie Rojas Rincon, from Plusinn / Proietti, then presented the opportunities and benefits of a connected ecosystem, the mechanisms of different brands, applications and services. Marjorie also stressed the importance of good space management, the possibilities offered by smart styling and automation, illustrating the usefulness of optimizing efficiency and effectiveness. Following his presentation, we were able to begin to distinguish between what is in the realm of "gadgetry" and what brings a real improvement in terms of comfort and well-being. This opens up new horizons, new approaches, new applications and new service platforms. In short, new opportunities, especially for startups in the IOT / Smart Building / Blockchain / PropTech ecosystem.

We emphasized the importance of integrating interactive design, lighting and multimedia, to create unique ambiences, and highlighted the usefulness of technologies using open standards and open innovation to enable data aggregation in intelligent supervision systems. He also presented the possibilities offered by multi-property networks (owned or managed, e.g. for several villas, hotels, commercial buildings, yachts or jets), and the growing importance of data security.

During the discussion that followed, we were able to share our ideas with the entrepreneurs, intellectual property advisers, consultants and start-ups present, on how to put the human element (the user, the smart citizen, the regular occupant or the occasional visitor) at the heart of the concerns of the managers and operators of shared spaces where everyone should enjoy living.

Understanding today's emerging ecosystems to anticipate opportunities

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