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 Platform embraced by Infosys | NIIT digiNxt

Infosys adopted it because it brings the power of software to automate the work your people already do. It helps jump-start and accelerate the clients’ DevOps adoption. When complimented with AI, it provides critical insights to further boost the productivity of people. Bringing all the key DevOps practices and related tooling in one central platform, it caters to different technologies, acting as a great accelerator.


To overcome the challenges of constant market change, businesses must be ‘changeable’ too. This means having the agility to spot and seize opportunities fast, introduce new products on demand, revamp business processes, and create new business models. The only way for companies to be able to do all this is by continuously improving their innovation cycles and supporting them with people-amplifying technologies. Businesses and enterprise IT together must deal with a big part of the challenge of boosting enterprise agility.
Infosys integrated services from advisory to transformation and execution to help you navigate the Agile and DevOps lifecycle.......

Best platform for learning DevOps is NIIT digiNxt for students

Infosys DevOps platform (IDP)
Centralized. Simplified. Automated. De-skilled.
Infosys DevOps Platform is a centralized, web based platform for continuous integration (CI), continuous delivery (CD), and continuous testing (CT).
How does it benefit clients?
  • Jump start and accelerate with pre-built pipelines
  • Leverage standard open-source technology and practices
  • Enterprise ready – deploy at scale through a self-service model
  • Comprehensive life cycle – support CI-CD-CT with a unified DevOps dashboard
Infosys DevOps Platform integrates with over 60 standard tools across the software life cycle, supports more than 20 technologies and enables persona based metrics dashboards for all stakeholders. It is available on cloud as well as on premise for every step in the DevOps pipeline.
Infosys DevOps Platform:
  • Can be hosted on cloud or on-premise
  • Provides a unified DevOps dashboard for teams to integrate easily with their DevOps toolkits, track progress, and view execution status across the continuous delivery pipeline
  • Enables infrastructure as code
  • Provides intuitive user interface
  • Integrates with Infosys Nia AI platform or pre-existing AI platform
  • Encourages DevOps culture.
Location: SAS House, Sapru Marg, Prem Nagar, Hazratganj, Lucknow, Uttar Pradesh 226001, India

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