Why Intelligent Systems?

Why Intelligent Systems?

• Understand the details behind the new Intelligent Systems Market Category, and understand whether Intelligent Systems will be the Next Big Thing.
• Experience and explore the new business models that make Intelligent Systems relevant.
• Determine if this fast growing and vibrant high tech marketplace can create opportunities for your company.
• Meet and network with some of the leading European players within the Intelligent Systems market.
• As an Intelligent Systems solution provider, propose & test new market ideas.
• Have the opportunity to engage with software developers and equipment providers within the Intelligent Systems market.
• Get a deeper understanding of some of the common challenges and solutions across the Intelligent System market.
• Understand how the adoption of computing technologies and embedded solutions can create new value within the many markets addressed by Intelligent Systems.
• Understand that across the varied Intelligent Systems markets, there are common threats including security and network manageability.
• Get an insight to the future direction of Intelligent Systems technology in the Healthcare, Retail/Advertising, Energy/Clean tech, Communications, Transport/Automotive, Aerospace and Manufacturing/Industrial sectors.

What are Intelligent Systems?

Our definition of Intelligent Systems center on the integration of higher plane hardware and software technologies that allow for user reconfiguration, enable autonomous operation, and extend the usage model of the system. Our classification takes into consideration the diversity of each system market, and adopts the relevant attributes that shape the way an application and end user re-configures, recognizes, and interacts with the system or connection of systems.

An Intelligent System must include one or more programmable processing units, integrated in a system-on-chip (SoC) or as a standalone microprocessor. The integrated solution can either be a single or heterogeneous multi-core (SoC) that combines applications processors, graphic processors, media accelerators, and other processors and accelerators.

The microprocessor core (cores) must support at least a 32-bit architecture and be capable of supporting a high level operating system (HLOS). Architectures that meet the requirements of our definition include: ARM, MIPS, Power Architecture, x86, SH, and other proprietary architectures. Intelligent systems do not require microcontrollers or digital signal processors to be considered in the category.

Support of one or more operating systems, which can execute native or cloud based applications and they must be capable of internet browsing, and supports analytics collected by the system. Some of the key software and service attributes include wired or wireless connectivity to a network and other systems, security, manageability, identification, UI, and commerce and services enabled by cloud computing.

Over time, our definition will continue to change in order to accommodate the emerging attributes and technologies, such as sensors, that will define the growth of the market. Intelligent Systems can be either mainstream systems (personal computers, general servers, or cellular phones) or embedded systems.