Why is Artificial Intelligence important?

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The AI learning adventure explores intelligence and its connection to engineering and technology.  Using ideas about human intelligence and intelligence more broadly, engineers can create “artificial intelligence,”; that is, impart “human” intelligence into machines or technology (Classical AI) or design technology that can itself “create” intelligence (future AI).  In fact, understanding how the brain works—”reverse-engineering the brain”—and understanding how engineers design intelligent machines—machines that replicate human intelligence—is one of the “Grand Challenges of Engineering” as set forth by The National Academy of Engineering (NAE). The implications and benefits of understanding the brain are many.  In addition to advances in the treatment of brain injuries and diseases and advancements in communications technology and computer simulations, understanding the brain will allow the design of intelligent machines with even more signicant societal impacts.  Already, mac
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DevOps vs Agile | NIIT digiNxt



Agile and DevOps are fizzle theories that many organizations are restive to employ, but there is often some confusion or overlap between the two.

 Only one business practice originated in software development, though both are being applied to organizational functions beyond software development.They’re not the same, but they’re not enemies.



Planning for Unplanned work:
Organizations using Agile acknowledged that Scrum is used to track the planned work. Tasks like releasing updated system, performing system upgrades etc, can be planned. On the other hand, the operations like performance spikes, system expiry, and standard security, can be unplanned. Such kind of tasks need immediate response. Organizations embraced it so that they can track both the works.
Before, there were priorities from multiple masters, but now a single set of priorities are in use. Similarly, for a long list of assigned work, the time period is planned to accomplish the work. These lightweight management practices by Scrum make a huge difference for a team.


Speed vs Risk:
A sound application structure and a solid foundation are mandatory to support the rapid change for organizations using Agile with or without DevOps. Applications must have good underlying framework that must be used constantly by the team members.
In the DevOps context, the teams must make sure that the changes which are made to the architecture should not introduce any risk. Also, there should not be any hidden side-effects associated with the changes, because the iterative process consists of regular changes in the architecture. So you should be concerned about the risks associated with each and every change made. Only with this type of work will you get rapid delivery without any risk.
Agile and Quality:
Both Agile and DevOps help develop an application fast, keeping sound structure and risk-free application.  But neither of them concentrates on the quality of the product. Mostly, IT organizations rely on the ‘fail fast’ principle- “Early failures cost less to fix”. But with this, only fast deployments can be maintained, not quality.
Agile produces applications that fit better with the desired requirements and can adapt quickly to respond to the requirement changes made on time, during the project life. DevOps, along with the automation and early bug removal, contributes to creating better quality. Developers must follow Coding and Architectural best practices to embed quality in the applications.
Agile and DevOps should try reach the next level to become highly effective within the organizations. They must conform to the industry standards using Agile and DevOps practices, to allow the development team to improve quality, make delivery faster and avoid software risks.



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