AI applications are software applications that use artificial intelligence (AI) techniques such as machine learning, natural language processing, computer vision, and others to perform tasks that would typically require human intelligence. These applications can include chatbots, recommendation systems, image and speech recognition, autonomous vehicles, and more. AI applications are used in a wide range of industries including healthcare, finance, marketing, and entertainment, among others, to automate processes, make predictions, and improve decision-making.
Natural language processing enables machines to understand and respond to text or voice data. Some examples of tools built by NLP include web search, email spam filtering, automatic translation of text or speech, document summarization, sentiment analysis, and grammar/spell checking.
A recommender system, or a recommendation system (sometimes replacing "system" with terms such as "platform", "engine", or "algorithm"), is a subclass of information filtering system that provides suggestions for items that are most pertinent to a particular user.
Predictive analytics is a branch of advanced analytics that makes predictions about future outcomes using historical data combined with statistical modeling, data mining techniques and machine learning. Companies employ predictive analytics to find patterns in this data to identify risks and opportunities.
Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos and other visual inputs—and to make recommendations or take actions when they see defects or issues.
My mission is to help clients transform complex ideas into elegant solutions
These are simple machine learning models without too much complexity and don't require a significant amount of time to create (1-2 months)
Those are neural networks that require the orchestration of different models and a large amount of training data, and they typically need 2-4 months of development time
These applications have a greater complexity and are built to perform complicated classification and regression. Development time could be more than 6 months.