Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include:
The ability to solve problems through logical deduction. e.g. financial asset management, legal assessment, financial application processing, autonomous weapons systems, games..
The ability to present knowledge about the world. e.g. financial market trading, purchase prediction, fraud prevention, drug creation, medical diagnosis, media recommendation…
The ability to set and achieve goals. e.g. inventory management, demand forecasting, predictive maintenance, physical and digital network optimization, navigation, scheduling, logistics..
The ability to understand spoken and written language. e.g. real-time translation of spoken and written languages, real-time transcription, intelligent assistants, voice control..
The ability to infer things about the world via sounds, images, and other sensory inputs. e.g. medical diagnosis, autonomous vehicles, surveillance..
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications.
Six “V“s of Big Data
The speed at which big data is generated
The various types of data: structured, unstructured and semi-structured.
The degree to which big data can be trusted.
The ways in which big data can be formatted and used..
The business value of the data collected..
The amount of data from myriad sources.
They can think logically without emotions, making rational decisions with less or no mistakes.
They can detect fraud in card-based systems, and possibly other systems in the future..
They predict what a user will type, ask, search, and do. They can easily act as assitants and cna recommend or direct various actions..
They replace humans in repetitive, tedious tasks and in many laborious places of work.
Cloud-based application with image classification capabilities powered by convolutional neural networks running on Google servers and implemented using TensorFlow, an ML library developed by Google Brain team.
Used in Gmail products for quick replying to emails. Uses ML techniques to determine an appropriate reply to a message.
For mobile devices and Google Home for home use. These systems use speech recognition and other techniques to respond to voice queries.
Chatbots for buying airline tickets and other services are becoming mainstream.
Tesla, Google, Uber and other giants are attempting to bring self-driving cars on the roads near you.
A Go playing AI system using deep reinforcement learning. Was able to beat a human professional Go player.