Artificial intelligence (AI) refers to machines or computer programs that can learn to execute jobs that normally need intelligence and are carried out by humans. Artificial Intelligence can be classified into two categories. Weak AI, also known as Artificial Narrow Intelligence (ANI), is the ability of a machine to outperform humans in some very specific tasks (the most famous example is IBM Watson); and Strong AI, also known as Artificial General Intelligence (AGI), is the ability of a machine to perform the same intellectual tasks as a human being (it's a theoretical concept we're way too far away from reaching where machines can perform the same intellectual tasks as humans).

A third level, known as Artificial Super Intelligence (ASI), occurs when a machine's intelligence considerably exceeds that of the worlds smartest and most gifted human minds combined.

It can also be divided into four levels: Reactive Machines are machines that just react to a stimulus (or several), but can't learn from their mistakes or improve with practise (IBM Deep Blue). Limited Memory, can retain and use data for a short amount of time but not contribute it to a library of experiences (Self-Driving Cars); Limited Memory, can retain and use data for a short period of time but not add it to a library of experiences (Self-Driving Cars); 

Theory of Mind, computers that mimic our mental models: having ideas, emotions, and memories (none exist yet), and lastly Self-Awareness, or conscious machines, which is still a science fiction concept (for now).

Machine Learning, the most promising branch of Artificial Intelligence, is a system capable of absorbing vast amounts of data, constructing models that can accurately classify them, and then making predictions with new data. Machine Learning is a method for obtaining Artificial Intelligence. Deep learning is an area of machine learning that deals with artificial neural networks, which are algorithms inspired by the structure and function of the brain.

Our Services can be:

• Analytics the Predict: Based on historical data, statistical algorithms and machine learning approaches are used to predict future results.

• Predictive analytics is used to determine client responses or purchases and to encourage cross-sell opportunities. Businesses can use predictive models to acquire, keep, and expand their most profitable consumers.

 • Detection of Anomaly: We use anomaly detection techniques within our machine learning consulting service to assist businesses in detecting aberrant data changes and suspicious events.

 • Processing Natural Language: Our team creates natural language processing apps (topic modelling, named entity identification, intent classification, sentiment analysis) to help businesses get the most out of human-generated data.

 • Vision on a Computer: Our computer vision team uses NVIDIA technology to assist businesses automate repetitive operations such as OCR and data collecting, automatically identifying persons and things in photos, image classification, and object recognition.