Automation Education

Introducing the AI-defined infrastructure

Software-defined infrastructure (SDI) are one of the most popular and ongoing trends within data centers and cloud environments leading to better infrastructure flexibility by developing the infrastructure based on scripts respectively source code.

However, SDIs are more and more becoming just a means to an end since automation, sophisticated algorithmsAn algorithm is a fixed set of instructions for a computer. It can be very simple like "as long as the incoming number is smaller than 10, print "Hello World!". It can also be very complicated such as the algorithms behind self-driving cars. and thus intelligent systems are leading to an artificial intelligence-defined infrastructure (-defined infrastructure, or ADI).

SDI is not dead but only a means to an end

A SDI abstracts the software from the hardware layer. Thus, the intelligence is not implemented into the hardware components anymore and has been moved into a software stack. Based on software and a high degree of automation a SDI is designed to build and control an infrastructure mostly without human interaction.

Typical SDI environments, e.g. cloud infrastructure, are built by developing scripts or source code. The software includes all the necessary commands to configure an entire infrastructure environment, including the applications and services running on top. A SDI-based infrastructure works independent from a certain hardware environment. Thus, a complete infrastructure can be exchanged by software – regardless of the underlying hardware components. One reason why SDIs are the fundamental foundation of today’s cloud infrastructure environments. However, a SDI is everything but intelligent! It is based on static source code including hard coded commands for taking certain actions automatically.

This is an -defined infrastructure (ADI)

A software-defined infrastructure is an important concept for building and running dynamic IT environments. However, a SDI is limited to the static source code as well as the skill set of the responsible developer respectively administrator who is writing the scripts/ code for the environment. Furthermore, a SDI is only dynamic to a certain level since it is not able to understand or learn the own environment it is operating.

ADI enhances a SDI with the necessary sophisticated algorithms, machine and artificial intelligenceArtificial Intelligence knows many different definitions, but in general it can be defined as a machine completing complex tasks intelligently, meaning that it mirrors human intelligence and evolves with time. – fueling the SDI with intelligence. An ADI allows a SDI to build and run self- respectively self-healing infrastructure environments. Thus, without human interaction -defined IT infrastructure environments are capable of many things. […]

  1. SwissCognitive

    Introducing the AI-defined …
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  2. Dalith Steiger

    Introducing the AI-defined …
    #Artificial_Intelligence #Cloud_Computing #Deep_Learning #Machine_Learning

  3. P.Antoine Bouillet

    RT @DalithSteiger: Introducing the AI-defined …
    #Artificial_Intelligence #Cloud_Computing #Deep_Learning #Machine_Learning…

  4. Andy Fitze

    Introducing the AI-defined …
    #Artificial_Intelligence #Cloud_Computing #Deep_Learning #Machine_Learning

  5. samuel martyn

    Problem:- threats. Data with AI possiblity to interrupt with devious program. What will be the result?…

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