The Evolution of Event-Driven Models

Blockchain requirements for business opportunities

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The event-driven model is a requirement that any real-time system must comply, that is, perform the action as soon as possible or at the right time. Even if each of the models is enough to model a system, they should be intermingled to improve expressiveness.
The evolution of intelligent things, such as collective thinking car swarms, is one of the strategic trends with broad industry impact and significant potential for disruption. The continuing digital business evolution exploits new digital models to align more closely the physical and digital worlds for employees, partners, and customers, technology will be embedded in everything in the digital business of the future.

The intertwining of people, devices, content, and services of the intelligent digital mesh. It is enabled by digital models, business platforms and a rich and intelligent set of services to support the digital business. Intelligence is filtered in practically all technologies and with a defined and well-defined approach it can allow more dynamic, flexible and potentially autonomous systems. In terms of digital, it combines the virtual and real worlds to create a digitally enhanced and connected immersive environment.
Although the use of artificial intelligence will result in a great digital commercial benefit, the promise (and difficulties) of general artificial intelligence in which systems magically perform any intellectual task that a human being can do and dynamically learn as much as a human is speculative at best.

Over the next five years, the focus will be on mixed reality, which is emerging as the immersion experience of choice, where the user interacts with digital objects and the real world while maintaining a presence in the physical world.
A practical approach to the blockchain requires a clear understanding of the business opportunity, the capabilities and limitations of the blockchain, a trusted architecture and the necessary implementation skills.

Event-oriented digital companies rely on the ability to detect and be prepared to exploit new digital business moments. Business events reflect the discovery of significant states or changes in status, such as the completion of a purchase order. Some business events or combinations of events constitute business moments, a detected situation that requires some specific commercial activity. With the advent of Artificial Intelligence, the Internet of Things and other technologies, commercial events can be detected more quickly and analyzed in greater detail. Companies should adopt event thinking as part of a digital business strategy.

By 2020, situational awareness in real time, based on events, will be a required feature for 80% of digital business solutions, and 80% of new business ecosystems will require support for event processing.

Davide Zucchetti

The Evolution of Event-Driven Models
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