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Name: Md. Anik
ID: 1834902582
Modern Computer Technologies:
 Artificial Intelligence: Artificial intelligence (AI) is the technology used for equipping
computer systems with the ability to make decisions like humans.
 Data Science: Data scientists examine which questions need answering and where to find
the related data. They have business acumen and analytical skills as well as the ability to
mine, clean, and present data. Businesses use data scientists to source, manage, and
analyze large amounts of unstructured data.
 Internet of Things: The Internet of Things (IoT) describes the network of physical
objects—“things”—that are embedded with sensors, software, and other technologies for
the purpose of connecting and exchanging data with other devices and systems over
the internet.
 Blockchain: Blockchain technology can be used to create a permanent, public,
transparent ledger system for compiling data on sales, tracking digital use and payments
to content creators, such as wireless users or musicians.
 Robotic Process Automation (RPA): Robotic process automation (RPA) is a
software technology that makes it easy to build, deploy, and manage software robots that
emulate human actions interacting with digital systems and software.
 Virtual Reality: Essentially, it's used as a training aid to help measure athletic
performance and analyses technique.
 Edge Computing: Edge computing optimizes Internet devices and web applications by
bringing computing closer to the source of the data. This minimizes the need for long
distance communications between client and server, which reduces latency and
bandwidth usage.
 Intelligent apps: Intelligent apps save users' time and money also on a certain level.
These apps are powered by AI and machine learning, which understand users' behavior,
and based on that, it suggests the action the user should take. This functionality can save
users' time, and also it stops them from making a wrong decision.

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Modern technologies

  • 1. Name: Md. Anik ID: 1834902582 Modern Computer Technologies:  Artificial Intelligence: Artificial intelligence (AI) is the technology used for equipping computer systems with the ability to make decisions like humans.  Data Science: Data scientists examine which questions need answering and where to find the related data. They have business acumen and analytical skills as well as the ability to mine, clean, and present data. Businesses use data scientists to source, manage, and analyze large amounts of unstructured data.  Internet of Things: The Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the internet.  Blockchain: Blockchain technology can be used to create a permanent, public, transparent ledger system for compiling data on sales, tracking digital use and payments to content creators, such as wireless users or musicians.  Robotic Process Automation (RPA): Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate human actions interacting with digital systems and software.  Virtual Reality: Essentially, it's used as a training aid to help measure athletic performance and analyses technique.  Edge Computing: Edge computing optimizes Internet devices and web applications by bringing computing closer to the source of the data. This minimizes the need for long distance communications between client and server, which reduces latency and bandwidth usage.  Intelligent apps: Intelligent apps save users' time and money also on a certain level. These apps are powered by AI and machine learning, which understand users' behavior, and based on that, it suggests the action the user should take. This functionality can save users' time, and also it stops them from making a wrong decision.