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ANI (Artificial Narrow Intelligence) vs AGI (Artificial General Intelligence)

ANI (Artificial Narrow Intelligence):Often referred to as Weak AI or narrow AI, it is an AI system that is designed to accomplish a specific task with a defined Algorithm.

The most common examples of ANI include virtual personal assistants, such as Apple's Siri and industrial robots.

AGI (Artificial General Intelligence): Commonly known as Strong AI, it is programmed to replicate the cognitive abilities of the human brain

Unlike ANI, when AGI is presented with an unfamiliar task, it applies Fuzzy Logic. The Fuzzy Logic allows it to decide the best way ahead by processing all the information it has.

AGI is still the hypothetical phase of AI, however, the experts believe that AGI will occur around 2050, and plausibly sooner.

  • ML (Machine Learning), a subset of AI, is a set of algorithms with the ability to learn and adapt to new data without being explicitly programmed. It is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention like making a complex set of different rules.
  • The most common examples of it are Image Recognition and Speech Recognition. The very common everyday examples of it are recommendation offers from Amazon and Netflix.
  • Apart from the Data preparation capabilities and Automation and iterative processes, MI leads to Scalability and Ensemble modeling.

Deep Learning

Agile Organization

  • In simple terms, DL (Deep Learning) is a technique to perform machine learning which is inspired by the human brain’s network of neurons.
  • Deep Learning can be supervised, semi-supervised or unsupervised.
  • Some of the practical examples of deep learning are Virtual assistants, vision for driverless cars, face recognition etc

Transforming to an agile operating model

While some organizations are born agile like Spotify and Amazon, the others can adopt it with 3 agile methods: All-in, which involves a series of waves of agile transformation through organization-wide commitment; Step-wise, a rather systematic and more discreet approach; and Emergent, also known as a bottom-up approach.

The Agile model, though seems very successful, it is equally difficult to get into it, especially for established companies.

The best way to introduce Agile to your organization is through an Agile Pilot. It is to determine and demonstrate the value of an agile model through tangible business outcomes. Though early experiments may be limited to individual teams, it must involve multiple teams in later stages to test the broader elements of enterprise agility.

No matter what approach you follow, any enterprise-wide agile transformation needs to be both comprehensive as it should touch people, structure, process, technology, and strategy and iterative as not everything can be planned upfront

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