Swarm Intelligence promises to make our life and business easier
Do Van Rijn
Bid Executive at Atos
Chief Architect, Distinguished Expert and member of the Scientific Community
Vice-President, Head of Machine Intelligence at Atos and member of the Scientific Community
Posted on: 29 January 2020
In our previous blog article in our series on Swarm Intelligence, we demonstrated how the swarm model can boost innovation and enable change management. Let’s now continue our tour of the Swarm Intelligence schools and explore how swarm algorithms can empower you to take the right decisions faster than competition.
Get inspired by the Gen Z entrepreneurial spirit
Gen Z are evolving rapidly in complex environments and where the globally optimum possibilities and values may change with time. They expect systems helping them take a decision on the fly to quickly find the most adequate solution.
Today, businesses challenged by digitalization and disruptive technologies must continuously make the right decisions on-time to thrive in those complex environments. They need data-driven systems to help them derive insights and identify directions in a highly non-linear, correlated parameters environment. With traditional mathematical modeling, finding an accurate estimate is very time and compute consuming and often not acceptable.
Get the right decision on time
Swarm Intelligence algorithms, like the Particle Swarm Optimization (PSO) algorithm, can make various solution’s seekers collaborate in synchrony, forging a unified dynamic system. The decision-making process is then facilitated by a decision-space so that everyone can converge toward the preferred solutions.
Solution seekers in a swarm applying PSO algorithm, individually try to find more attractive solutions in their decision-space. As a group, they also exchange information on the attractiveness of neighbor seekers’ positions. The combination of both individual’s and group’s behaviors enable the solutions seekers to converge or “swarm” around the most attractive approach. We can compare this behavior with for instance the way ants are searching for food.
These algorithms allow users to perceive and react to the changing system in real-time, integrate noisy evidence, weigh competing alternatives and converge to a reasonable optimum faster than any other approach and at a competitive computing cost. The solution may not be the most optimized one, but it prevents businesses from lagging behind competition.
Make your life and business easier
In conclusion, adopting this Swarm Intelligence algorithmic capability can really help businesses stay ahead of the competition and attract and retain Gen Z profiles. This could even become a matter of survival for an organization, enabling it to continuously adapt its direction to today’s highly volatile and uncertain environment.
In our next blog, we’ll explain how Swarm Intelligence can be a driving force in our ultra-connected world.
Read the full blog series here:
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