Artificial Intelligence Practice

In the 19th century, new manufacturing technology replaced what was then skilled labor. Somebody writing about the future of innovation then might have said skilled labor is doomed. In the second half of the 20th century, however, software technology took the place of median-salaried office work, which economists like David Autor have called the "hollowing out" of the middle-skilled workforce.

The first wave showed that machines are better at assembling things. The second showed that machines are better at organization things. Now data analytics and self-driving cars suggest they are better at pattern-recognition and driving.

While computerization has been historically confined to routine tasks involving explicit rule-based activities, algorithms for big data are now rapidly entering domains reliant upon pattern recognition and can readily substitute for labour in a wide range of non-routine cognitive tasks. In addition, advanced robots are gaining enhanced senses and dexterity, allowing them to perform a broader scope of manual tasks. This is likely to change the nature of work across industries and occupations.

Many of the fields that had once seemed the sole province of humans - including those of medical diagnosis, stock trading, genetics, and law - are now being performed by computers. Machines and their learning-based algorithms have leapt forward in pattern-matching ability, the nuances of interpreting and communicating complex information, and most interestingly they are capable of doing human tasks even better than the people.

In some activities, particularly when it comes to finding answers to problems, software already surpasses even the best managers. As machine learning progresses at a rapid pace, top executives will be called on to create the innovative new organizational forms needed to crowdsource the far-flung human talent that's coming online around the globe. Those executives will have to emphasize their creative abilities, their leadership skills, and their strategic thinking.

At Gladwin Analytics, we help our clients to hire the most intelligent, innovative and advanced technology leaders who strive to change the entire landscape of the human existence. Our capabilities in Artificial Intelligence include:

  • Machine Learning
  • Data Mining and Text Mining
  • Artificial Neural Network
  • Machine Perception and Computer Vision
  • Natural Language Processing
  • Pattern Recognition
    • Speech Recognition
    • Text Recognition
    • Face Recognition
    • Handwriting Recognition
    • Optical Character Recognition
    • Object Recognition
  • Game Theory and Decision Theory
  • Human Computer Interaction
  • Computational Intelligence
  • Computational Creativity
  • Robotics
  • Intelligent Agent
  • Fuzzy Logic
  • Algorithm

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