Tag: artificial intelligence

The trend which will have an impact on all future AI

There are so many new trends in the field of data science and AI. In my opinion, the one that would impact all future AI and systems would be – voice recognition. There has been a huge amount of work that had been done in this area in the past decade. With the increase in…
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Conversational AI

Conversational AI has revolutionized Artificial Intelligence and had a potential impact. I think this has really helped in resolving customer issues in all domains like- Booking flights, hotels and so on. This basically helps in all domains and it was about time we got this technology in all domains. It seems trivial but it’s extremely…
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A One in a Billion Face

Is Your Face One in a Billion? Is your face one in a billion?  This is a question you might not have ever asked yourself yet it is one that is worthy of some consideration.  Facial recognition accuracy has been rapidly improving over the last several years.  If these improvements continue at their current rate…
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Automation and Displacement: The Economic Fears of AI

Hollywood and modern media have taken creative philosophical license in promoting either the benefits and/or dangers of automation. However, from an economic point of view, there are some who are grumbling about the potential impact of AI, displacing millions of people into unemployment and into other safety net programs that strike fear into the heart…
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Deep is a way for Machines to learn to provide AI capabilities

Artificial Intelligence was a term coined in the last century to describe human like capabilities to be acquired by human creations. As researchers tried to provide bring these capabilities to fruition, they realized one of the ways human acquire the skills is through learning. Hence, Machine Learning as a discipline came into being. Now, as…
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Learning: Machine vs Deep

Machine Learning Machine Learning is a subfield of Artificial Intelligence where we try to make ‘accurate’ predictions based on the training data presented to a model or classifier to solve a problem statement. We try to fit the training data using various algorithms preceded by feature extraction to formulate a model which generalises well on…
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Difference between Machine Learning and Deep Learning

Machine Learning (ML) is a subset of Artificial Intelligence. It is a method of training an algorithm with data (input) in order to get the desired output without explicitly programming it to do so. ML is simply a technique for realizing AI. Deep Learning (DL) is considered a subset of Machine Learning. This has to…
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ODSC WEST 2019 RECAP

Brief recap of the Open Data Science Conference – San Francisco, October 2019 On AI ROI: the questions you need to be asking Kerstin Frailey Metis Success is unpredictable in AI – feasibility is often unknown before a project has begun. Projects are esoteric – require highly specialized training. Application is new – methods to…
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