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Artificial Intelligence jobs features types Software Trend Risk

Artificial Intelligence jobs features types Software Trend Risk

Here will discuss Artificial Intelligence jobs features types Software Trend Risk. Firstly Artificial Intelligence has become one of the most discussed terms in the IT industry. Artificial Intelligence along with other Technologies such as Machine Learning, Deep Learning and other related ones is revolutionizing the various sectors of the world and is also responsible for the creation of a huge number of jobs for IT professionals. And also Artificial intelligence is an electronic simulation of human intelligence which is being use in machines. The term may also be apply to any machine that exhibits traits associated with hue mine such as learning and problem solving. 

Artificial Intelligence- A New World 

Artificial Intelligence jobs features types Software Trend Risk

 In other words,  AI is a branch of computer science by which we can create intelligent machines which can behave like humans,  think like humans and be able to decide. 

Job profiles 

 The knowledge of of artificial intelligence is use in a variety of different job profiles such as:

  • Robotics Scientist
  • Big Data Engineer
  • Data scientist
  • Product Manager
  • AI Research Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer

Features Artificial intelligence

  • Eliminate dull and boring tasks. 
  • Data ingestion
  • Imitates human cognition 
  • Futuristic
  •  Prevents natural disasters
  •  Facial recognition and chatbots

 Types of Artificial Intelligence

  1.  Reactive Machines

 Reactive machines are the most basic types of AI systems that perceive the world directly and also act on  what it sees.  The computer audit has to form memory not to use past experience.  AI researcher Rodney Brooks argued in a seminal paper that we should only build this kind of AI too. Deep Blue, IBM’s chess playing supercomputer That made a breakthrough by beating Grandmaster Garry Kasparov in 1997 was a reactive machine. 

  1. Limited Memory

Firstly, Limited memory machines added to reactive machines added with historical data which will help them make decisions.  Almost all the machines that we use today unlimite memory machines which are power by data sets.  AI systems use deep learning and are train by large volumes of data that is store in the memory to form a reference model for solving future problems. 

  1.  Theory of Mind

The Theory of Mind represents an advanced class of Technology and also exist only as a concept.  This kind of AI requires a thorough understanding of peoples’ feelings and also behavior within an environment. Theory of minds is critical technological improvements that sorts people’s emotions, sentiments and thoughts. A real world example of the theory of mind is Kismet design in the late 1990s. It can mimic human emotions and recognize them. 

4. Artificial Narrow intelligence  ANI

 Artificial narrow intelligence is also know as weak AI.  It is one of the most frequently experience types of AI.  It is something that the Tech world has accomplished.  Every AI machine we use and also see today is from this field,  it operates under a limited set of constraints.  For example, voice recognition AI is use to predict people’s voice based on the data set it is train with. 

  1.  Artificial General Intelligence AGI 

 Artificial General Intelligence  is also know as strong AI. It allows A machine to apply knowledge and skills to different contexts. This more closely Mirrors human intelligence by providing opportunities for autonomous learning and also problem solving. In other words, AGI can successfully perform any intellectual task that a human being can. This is the sort of science fiction movies portray.

  1. Artificial Super Intelligence ASI 

 Artificial Super Intelligence is something more advanced than strong AI which could end the human race. They will not only replicate the multifaceted intelligence of human beings but will be exceedingly better at everything. The ASI will be design with better memory, faster data processing, and analysis and also decision-making capabilities. 

Amazing Applications of Artificial Intelligence in Education 

  1. Plagiarism checking 

The AI-powered scanning software programs  help the tutors and also instructors detect duplication from students’ work.  Hence, AI is the best way forward to discourage plagiarism in academia.

  1.  Smart learning content

 AI can condense the content in burdening  troubleshooting guides into more digestible study guides with troubleshooting steps summary,  Flashcards and also intelligent simulations. 

  1.  Virtual teachers or lectures

 With AI, an actual lecturer may soon be replace by a robot.  Well not entirely, but they are already Virtually human mentors and facilitators that can think and act like humans. 

  1. Adaptive learning

 The AI and machine learning algorithms in Play will then track and analyse the data to interpret the learning style, level of Intelligence and other metrics for each student.  based on that the platform will adjust and upgrade the level of assessment for learning material to be provided to the students and provide recommendations. 

AI Trends for 2021

Right from the voice and language driven to the martech, cyber security and also much beyond these are some of the key areas that make the list of top trends for 2021. 

  1.  Voice and Language Driven AI

 With the spread of covid-19 pandemic, businesses had to adapt to a remote working structure which created a new focus on the voice and also language driven by the amount of touch based technology. 

  1.  AI and Cloud Adoption

 AI and the cloud go together in today’s technological ventures like cheese and carrots.  Our digital assistants like Siri, Google home and Amazon Alexa have a role to play in our lives now.  Cloud services like IBM Cloud Computing, Amazon Web Services and also others have all been pre-train and ready to use ML, DL and other AI models. 

  1. AI and Cybersecurity

 Cyber security has been the talk of the town over the years.  We have come across news of various cyber attacks. Experts say that these attacks will only continue to rise in 2021.  using AI algorithms and other related Technologies can assist in mitigating such attacks. 

  1.  AI and the MarTech 

MarTech is simply the combination of marketing and Technology.  it speaks about the marketing goals objectives etc. Today, digital marketing conversational AI/ Chatbots etc. are all prevalent on websites. 

Risk of AI 

  1. Disruption

 Over the next decade, artificial intelligence will be the most disruptive Technology.  In recent years, the quality of this technology has increased in a variety of sectors, with all the implications that this entails. 

  1. A lack of transparency

 Neural networks, which are complex interconnect note systems have been use as the engine of many AI systems.  These Systems on the other hand are capable of displaying their decision making  reason.  only the input and output are visible.  The system is overly complicate. 

  1.  Biased algorithms

 When we give a biased data set to algorithms, the system will logically reinforce our biases.  There are numerous examples of systems that disadvantage ethnic minorities largely than the general population. 

  1.  Too Big a Mandate

There is a risk that we transfer too much autonomy before the technology and three conditions are completely mature and that we do not remain conscious of where and why we have outsourced relevant jobs over time. 

  1. Too Little privacy

The result is that privacy is erode. However, once we subsequently protect our personal privacy that companies will simply use similar target groups. the data is res-old with an increasing loss of awareness as to who receives it or for what purpose it is being use. 

Will Artificial intelligence  replace computer programmers? 

Robot Pointing on a Wall

 The industry is evolving and the workflow will include more automation in the future. It is unlikely that AI will completely wipe out the need for human programmers anytime soon. 

  1.  Early AI and old-school programming

  this initial AI wave so computers apply basic rules to beat humans at various games using a finite number of Moves and subsequent  clear outcomes.  Many of the real-life problems programmers are trying to find solutions for these days are not as straightforward as a board game. 

  1.  Black Box characteristics of AI

The most significant set-back with machine learning is that it is a black box even though the developers of the machine learning algorithm don’t have a clue as to how decisions are actually made!

  1. Traditional coding and its complexity

 This works quite well in simple, predictable scenarios. The bigger and also more Complex a project gets, the more the limits to this method become noticeable. 

Top Industries impacted by Artificial Intelligence

AI sorry has made our lives easier.  Here are some of the top Industries impacte by a and also how they have helped them grow for the better. 

  1.  Health Care
  • Supporting diagnosis by Detecting variance inflation data. 
  • Early identification of potential pandemics. 
  •  Imaging diagnostics
  •  Intelligent online reputation management
  1. Automotive
  • Autonomous fleets for ride sharing.
  •  Semi-autonomous features such as driver assist.
  •  Engine monitoring and predictive, autonomous maintenance.
  1. Financial Services
  • Personalized financial planning.
  •  Fraud detection and anti money laundering.
  •  Automation customer operations. 
  1.  Transportation and Logistics
  • Autonomous trucking and delivering. 
  •  Traffic control and reduced congestion.
  •  Enhanced security. 
  1. Manufacturing

 While humans are force to work in 3 steps for ensuring continuous production, robots are capable of working 24/7.  Using AI, business can be expand in terms of production capability and need worldwide. 

  1. Music

AI is being utilize for making music by analyzing data from different compositions. When it creates musical pieces through reinforcement learning, the algorithm Learns what characteristics and patterns create music that is enjoyable. 

Interesting facts of AI 

  • Most AI bots are female

 If you ask Siri, Alexa, Cortana or your bank’s voice assistant a question, most likely you will be answer by a pleasant and also polite woman’s voice.  the reason?  Studies show that males and also females are more attracted to a woman’s voice. 

  • 2025,  The Year of Pet-Bots 

Although real pets are lovable according to pet board developers they have a few downsides.  they need to be fed and cleaned up and they die.  AI pets will be robots that look, feel and act like a real animal but eliminate such issues experienced by owners.

  • AI can read your mind

Scary right? A new methodology  has been develop by robots that can create an image of your thoughts using an FMRI scanner. The AI is design to construct an image from your brain and also compare it with other pictures received from volunteers. 

  • AI is estimate to kill 6% of jobs by 2021

AI Estimate

 That’s about 1160000  people out of work in Canada.  Although AI

 is helpful in cutting business costs, it is sa-id to create some serious problems. Customer service jobs will face the highest threat. 

  • AI’s Has nationalities and passports

Firstly Sofia, a life-like humanoid, has gained guaranteed citizenship of Saudi Arabia and This has brought much controversy as the public wonders whether or not robots should have rights

  • 80% of B2B marketing executives predict AI will revolutionize their industry.
  •  Artificial intelligence enabled tools will generate 2.9 trillion dollars in business value by 2021. 
  • By 2025 artificial intelligence is expect to become a 60 billion dollar industry. 
  • The 24 billion-dollar autonomous vehicle market is being drive by artificial intelligence.
  • Gartner Forecasts that by 2020 artificial intelligence has become a top 5 investment priority for more than 30% of CIOS. 
  • Since  2000, the number of artificial intelligence startups has increased 14 Times. 

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Artificial Intelligence jobs features types Software Trend Risk – Writer

Taniya Patyal

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