1. There are numerous benefits of cloud computing from cost savings to quality control, it gives an edge to any system. Majorly, developing in the cloud enables users to get their applications to market quickly. Also it reduces risk of loss as hardware failures do not result in data loss because of netRead more

    There are numerous benefits of cloud computing from cost savings to quality control, it gives an edge to any system. Majorly, developing in the cloud enables users to get their applications to market quickly. Also it reduces risk of loss as hardware failures do not result in data loss because of networked backups. Most importantly, cloud computing uses remote resources, saving organizations the cost of servers and other equipment. Not just this but it provides mobility, flexibility, competitive edge and security to the user.
    You can check the video below for better understanding.

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  2. According to a definition on Wikipedia, "Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the InterneRead more

    According to a definition on Wikipedia, “Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet.” Simply speaking we can say that cloud computing is the practice of using a network of remote servers which are hosted on the Internet to perform some tasks of storing, managing, and processing data, instead of a local server or a personal computer.

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  3. Big data refers to large sets of structured, unstructured and semi-structured data which has the potential to be mined and analyzed to determine patterns and trends . Big data is characterized by the following: 1. Volume: Large amount of data from various sources. 2. Velocity: Data is being generateRead more

    Big data refers to large sets of structured, unstructured and semi-structured data which has the potential to be mined and analyzed to determine patterns and trends .
    Big data is characterized by the following:
    1. Volume: Large amount of data from various sources.
    2. Velocity: Data is being generated at high speed and should be dealt with in near real time.
    3. Variety: Data can be in different formats.
    4. Variability: Data can be highly inconsistent.
    5. Complexity: Since data comes from multiple sources, complexity of linking, matching and cleaning data increases.

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  4. A middleware is a software which acts as a bridge between the operating system and the applications that work on it.It acts as a translation layer permitting data management and communication between applications. It delivers messaging services by using frameworks like SOAP, REST, JSON, etc.

    A middleware is a software which acts as a bridge between the operating system and the applications that work on it.It acts as a translation layer permitting data management and communication between applications. It delivers messaging services by using frameworks like SOAP, REST, JSON, etc.

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  5. Can AI do that currently, then no but will it be able to do it in a decade or so then again its a supposable no. We never know what future may hold, although predictions don't say this as its known that AI cannot inspire teamwork, show passion or exhibit empathy because it has no imagination. AfterRead more

    Can AI do that currently, then no but will it be able to do it in a decade or so then again its a supposable no. We never know what future may hold, although predictions don’t say this as its known that AI cannot inspire teamwork, show passion or exhibit empathy because it has no imagination. After all we don’t want to watch robots in rom-coms, its also said that “People don’t want to listen to robots making speeches, leading the company, or giving pep talks. They do want to listen to robots in conversation making friends or earning our lifelong trust. Nor do they want a robot to do tasks like teachers and nurses. We will end up with the inevitable outcome that large numbers of routine jobs will be eliminated and large numbers of empathetic jobs will be created”.
    So yes, not all jobs will be replaced by the AI, it will majorly replace the job which involves repetitive tasks. Worse to worse there would still be jobs for the leaders, entertainers, writers and more of what you know as empathetic jobs. Research and development would still go on and also the AI developers.

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  6. As artificial intelligence is becoming popular everywhere, its very basic and yet important to know its four major types, which are: 1. REACTIVE MACHINES: These are the most basic types of AI systems and have the ability neither to form memories nor to use past experiences to inform current decisionRead more

    As artificial intelligence is becoming popular everywhere, its very basic and yet important to know its four major types, which are:
    1. REACTIVE MACHINES: These are the most basic types of AI systems and have the ability neither to form memories nor to use past experiences to inform current decisions. This involves the computer perceiving the world directly and acting on what it sees. It doesn’t rely on an internal concept of the world. In this machines will behave exactly the same way every time they encounter the same situation.
    2. LIMITED MEMORY: This AI contains machines that can look into the past. These are used in self driving cars and are included when the car decides when to change lanes, to avoid cutting off another driver or being hit by a nearby car.
    3. THEORY OF MIND: In psychology, “theory of mind” is the understanding that people, creatures and objects in the world can have thoughts and emotions that affect their own behavior. This AI will have to be able to understand that each of us has thoughts and feelings and expectations for how we’ll be treated. And they’ll have to adjust their behavior accordingly.
    4. SELF-AWARENESS: This AI development is to build systems that can form representations about themselves. This is an important step to understand human intelligence on its own although its far from now to be created.

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  7. With this building technology, AI is becoming popular everywhere its used in businesses for most of the core workings. It just didn't impact business but it transformed business. It does not matter whether your business is using AI or not, it still has to face its impact. Majorly because your competRead more

    With this building technology, AI is becoming popular everywhere its used in businesses for most of the core workings. It just didn’t impact business but it transformed business. It does not matter whether your business is using AI or not, it still has to face its impact. Majorly because your competition is using it, even if you aren’t using AI to streamline your operations and reduce your costs. Your competition could be using artificial intelligence to improve their selling techniques, reduce the cost of their quotes, or simply make life easier for their employees. Hence it will be a fall-down for your company if you aren’t already using it.
    AI takes the place of human workers; every time AI is implemented, it reduces costs. AI can even do some things human workers simply can’t, such as analyzing extremely large and complex sets of data. Although the ways by which artificial intelligence may impact your business will depend on your company’s unique operations and needs. It is not so easy to find the best ways to integrate new, advanced technologies into your existing workflows but in order to remain competitive, you have to.

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  8. Yes Maitya, you can definitely make your very own AI, trust me its not that difficult to build an artificial intelligence assistant. They are many sites for it that will guide you in this and help you create it. You can go to Api.ai website which is a service that allows developers to build speech-tRead more

    Yes Maitya, you can definitely make your very own AI, trust me its not that difficult to build an artificial intelligence assistant. They are many sites for it that will guide you in this and help you create it. You can go to Api.ai website which is a service that allows developers to build speech-to-text, natural language processing, artificially intelligent systems that you can train up with your own custom functionality. As Api.ai was bought by Google, it’s migrated towards solely using Google accounts to log in. So if you’re new then sign in there with your google account. Once you’ve signed up, you’ll be taken straight to the Api.ai interface where you can create your virtual AI assistant. These assistants are called agents on the site. Then you shall head up to building your AI and once you are done with it you may get to testing it. There would be a lot of things on which your AI wouldn’t know how to respond. The best you can do is keep learning and keep teaching it to your assistant.
    Watch this video for more understanding.

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  9. No, Tableau is not a programming language. It is a data visualization tool. It is used to form dashboards and worksheets to represent data and also for data analysis.

    No, Tableau is not a programming language. It is a data visualization tool. It is used to form dashboards and worksheets to represent data and also for data analysis.

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  10. Tableau is a data visualization tool. It is mainly used in Business Intelligence Industry. Analyzing data becomes fast paced using tableau. The visuals of data that are created are in the form of dashboards and worksheets. Best features of Tableau are data blending, real time data analysis and collaRead more

    Tableau is a data visualization tool. It is mainly used in Business Intelligence Industry.
    Analyzing data becomes fast paced using tableau.
    The visuals of data that are created are in the form of dashboards and worksheets.
    Best features of Tableau are data blending, real time data analysis and collaboration on data.
    To develop data visualizations you need not be a technical person. A person with no programming skills can use Tableau efficiently.

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