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Blog 1 Column

13
Jun

How to apply AI?

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AI can be applied by using the following- i.Smart Virtual Assistants ii.Chatbots iii.Market Research iv.Machine Learning
13
Jun

What are some examples of AI-technologies?

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AI supports deep learning libraries such as MXNet, Keras or TensorFlow. The use of Python is done for artificial intelligence that has a large number of packages for a number of applications which includes General AI, Machine Learning, Natural Language Processing along with Neural Networks.
13
Jun

What are they types AI?

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1.Artificial Narrow Intelligence or ANI: The stream of intelligence that is prominent in performing a single task.  The system learns about a single task that has to be performed efficiently and with smartness. 2.Artificial General Intelligence or AGI: It is a general-purpose intelligence and the smartness and efficiency are applied...
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13
Jun

What are the problems in AI?

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i.Lack of Technical Knowledge: In order to integrate, deploy as well as implement the AI applications in their enterprises, the organizations need to have knowledge of the current AI Advancements and technologies along with their shortcomings. ii.Data Acquisition and Storage: The business AI systems depend on the sensor data for...
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13
Jun

What are the applications of AI?

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Few applications of AI includes the following- i.Knowledge reasoning ii.Planning iii.Machine learning iv.Natural language processing v.Robotics vi.Speech Recognition
13
Jun

Why we need AI?

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The amount of work done by humans is continuously on the rise, leading to automating the routine work of an individual. AI can reduce human dependency in tedious and repetitive tasks as well as those fields which require large human efforts.
13
Jun

What is AI?

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AI is a theoretical development of computer systems that have the potential of performing tasks that usually require human intelligence. AI includes the simulation of human intelligence processes that machines usually carry out and this process includes learning, reasoning as well as self-correction.
11
Jun

How does Hadoop handle Big Data?

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Hadoop is an open source framework that allows the storage as well as processing of the big data in a distributed environment, that is spread across the computer clusters by the use of simple models of programming languages. It is designed in such a way that it can be scaled...
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11
Jun

What are the advantages of Big Data?

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The major advantages of big data for any business includes- better decision making, increased productivity, cost reductions, improved customer services, detection of frauds, increased revenues, increased agility and greater innovation base.
11
Jun

What are the key properties of Big Data?

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There are certain specific attributes that are used for defining big data. In big data, these are commonly known as the 4Vs. The 4Vs comprise of- Volume, Variety, Velocity and Veracity.
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