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AI-Defined Infrastructure: AiDI | @CloudExpo @ReneBuest #AI #ML #SDI #AiDI
Because it’s not just about software anymore

Software-defined infrastructure (SDI) is 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 becoming more and more just a means to an end since automation, sophisticated algorithms and thus intelligent systems are leading to an Artificial Intelligence defined Infrastructure (AI-defined Infrastructure - AiDI).

SDI is not dead but only a means to an end
An 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, an 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. An 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, an SDI is everything but intelligent. It is based on static source code including hard coded commands for taking certain actions automatically.

Understanding the AI-Defined Infrastructure (AiDI)
A software-defined infrastructure is an important concept for building and running dynamic IT environments. However, an SDI is limited to the static source code as well as the skillset 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.

An Artificial Intelligence defined Infrastructure (AI-defined Infrastructure - AiDI) enhances a SDI with the necessary sophisticated algorithms, machine learning and artificial intelligence - fueling the SDI with intelligence. An AiDI allows a SDI to build and run self-learning respectively self-healing infrastructure environments. Thus, without human interaction AI-defined IT infrastructure environments are capable of:

  • Deploying the necessary resources depending on the workload requirements as well as de-allocating the resources when they are not needed anymore.
  • Constantly analyzing the ever-changing behavior and status of every single infrastructure component and thus understanding itself.
  • Reacting or proactively acting based on the status of single infrastructure components by autonomously taking actions and thus leading the entire infrastructure into an error-free status.

An AI-defined Infrastructure cannot be compared with classic automation software, which typically works with predefined scripts. An AI-defined Infrastructure utilizes a company's existing knowledge executing it automatically and independently. However, like every new born organism an AI-defined Infrastructure needs to be trained but afterwards can work autonomously. Thus, based on the learned knowledge, disturbances can be solved - even proactively for not expected events by connecting appropriate incidents from the past. Therefore, an AI-defined Infrastructure monitors and analyzes all responding components in real-time to identify and solve a problem based on its existing knowledge. The more incidents are solved the bigger the infrastructure knowledge gets. The core of an AI-defined Infrastructure is a knowledge-based architecture that can analyze incidents and changes and autonomously develop strategies to solve an issue.

Furthermore, an AI-defined Infrastructure embraces communities to:

  • Consume the knowledge from external experts to become more intelligent.
  • Connect with other AI-defined Infrastructure environments to link, combine and share their knowledge base.
  • Constantly expand the knowledge pool.
  • Optimize the knowledge.

All in all, an AI-defined Infrastructure is an intelligent system that - initially fueled with external knowledge - can learn and make decisions autonomously without human interaction.

The AiDI is only a single piece of the entire AI-defined enterprise stack
An AI-defined Infrastructure is an essential part of today's IT operations building the foundation for the AI-enabled enterprise. However, first and foremost it enables IT departments changing the infrastructure behavior from a today's semi-dynamic to a true real-time IT environment.

This autonomous way of planning, building, running and maintaining the entire infrastructure let IT operations and developers deploy IT resources like server, storage, network, databases and other ready services in the most efficient way - by using the knowledge of more than just one expert but the entire IT operations team. Furthermore, IT operations are being transformed from pure consumers of resources to orchestrators respectively managers of a completely automated and intelligent IT stack. The very foundation of an end-to-end AI-ready enterprise.

About Rene Buest
Rene Buest is Director of Market Research & Technology Evangelism at Arago. Prior to that he was Senior Analyst and Cloud Practice Lead at Crisp Research, Principal Analyst at New Age Disruption and member of the worldwide Gigaom Research Analyst Network. At this time he was considered a top cloud computing analyst in Germany and one of the worldwide top analysts in this area. In addition, he was one of the world’s top cloud computing influencers and belongs to the top 100 cloud computing experts on Twitter and Google+. Since the mid-90s he is focused on the strategic use of information technology in businesses and the IT impact on our society as well as disruptive technologies.

Rene Buest is the author of numerous professional technology articles. He regularly writes for well-known IT publications like Computerwoche, CIO Magazin, LANline as well as Silicon.de and is cited in German and international media – including New York Times, Forbes Magazin, Handelsblatt, Frankfurter Allgemeine Zeitung, Wirtschaftswoche, Computerwoche, CIO, Manager Magazin and Harvard Business Manager. Furthermore he is speaker and participant of experts rounds. He is founder of CloudUser.de and writes about cloud computing, IT infrastructure, technologies, management and strategies. He holds a diploma in computer engineering from the Hochschule Bremen (Dipl.-Informatiker (FH)) as well as a M.Sc. in IT-Management and Information Systems from the FHDW Paderborn.

Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email [email protected].

Digital Transformation Blogs
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built an Alexa-powered voice application for both patients and nurses. Patients got answers for common qu...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the massive amount of information associated with these devices. Ed presented sought out sessions at Cl...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power the organization's key ...
DevOpsSUMMIT Blogs
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Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and...
Presentation Slides
Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at eve...
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were ...
CloudEXPO.TV
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"We began as LinuxAcademy.com about five years ago as a very small outfit. Since then we've transitioned into more of a DevOps training company - the technologi...