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Expertzlab Artificial Intelligence course is organised as an extension to the Data Science course. Artificial Intelligence is a technology which has started disruptions every part of the software development. AI technology helps to facilitate various software construction and execution in a more automatic and autonomous way. Once that is deployed it can function with little or no supervision from human. Mean it starts learning its own and update as in Reinforcement learning. Now every software company take steps to AI intiatives and they feel it is realistic and purely functional. Although we dream what AI may evolve into someday, but we focus in Expertzlab what we are certain about.
AI comprises many algorithms to process data and generate data driven decisions and carry out tasks, much like a human would. Of course, the emulation of human intelligence is not an easy task, as it requires good specializations like Cybersecurity with blockchain, robotics, generative ai with virtual reality, edge ai with IoT and Edge computing. The taget is to undertake respective tasks to do better than humans. For example one or more AI algorithms , that is created for identifying words from speech, can be more accurate than humans doing the same task.
AI spcialization varies as the use cases targeted. Some AIs are designed to be used in Robots, or Robots like processes. Other AIs are specialized in crunching data and facilitating various data analytics tasks. AIs can also be used for creating processes like to generate virtual or augmented reality. Chatbots and other AIs are focused solely on interacting with humans. Now a new era of AIs has already started it momentum such as Artificial General Intelligence or AGI, but it may take a while before it can be applied to our common software development tasks, or to integrate with general world applications.
If a system can make some decisions by capturing and analyzing the
available data related to the problem, it is an AI appliance.
There are many systems works with the help of AI like supporting systems like
Alexa, Siri, Google Home.
AI facilitates Data Science, more than ever since, now. Ofcourse Data Science was applied without AI assistance before many years so far. While it is certainly possible to gain valuable insights using traditional data science, AI based algorithms can often bring about better performance in our models. Models are here mathematica abstractions created to simulate the phenomina we study. In highly competitive industries this extra performance gained from AI-based data models can offer and edge over others in the market. Beacuse many companies in the industries like e-commerce, banking, finance, insurance, healthcare, social care etc. already have abundant data they can be used to train the AI algorithms, we term them AI-ready.
Read more: AI is Everywhere
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