Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses.
According to a Narrative Science report, just 38% percent of the companies surveys used Artificial Intelligence in 2016—but by 2018, this percentage will increase to 62%.
Another study performed by Forrester Researchpredicted an increase of 300% in investment in AI this year (2017), compared to last year.
IDC estimated that the AI market will grow from $8 billion in 2016 to more than $47 billion in 2020. “Artificial Intelligence” today includes a variety of technologies and tools, some time-tested, others relatively new.
Here are the 10 most revolutionary artificial intelligence technologies that will rule 2018.
Saying (or writing) the right words in the right sequence to convey a clear message that can be easily understood by the listener (or reader) can be a tricky business. For a machine, which processes information in an entirely different way than the human brain does, it can be trickier still.
Solving this issue has been the key focus of the burgeoning field of Natural Language Generation (NLG) for years beyond counting. Natural language generation, a field which has made great strides of late, has begun to manifest in many areas of our lives. It is currently being used in customer service to generate reports and market summaries.
Transcribe and transform human speech into format useful for computer applications. Currently used in interactive voice response systems and mobile applications. Every day, more and more systems incorporate the transcription and transformation of human language into useful formats suitable for computers.
These days, computers can also learn, and they can be incredibly intelligent!
Machine learning is a subdiscipline of computer science and a branch of artificial intelligence. Its goal is to develop techniques that allow computers to learn.
By providing algorithms, APIs (application programming interface), development and training tools, big data, applications and other machines, machine learning platforms are gaining more and more traction every day.
They’re currently being used in diverse business activities, mainly for prediction or classification. Companies focused in machine learning include Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS, Skytree.
There’s no denying that virtual agents – or “chat bots” (or simply, bots) – are experiencing a tremendous resurgence in interest, and along with that, a rapid advance in innovation and technology.
Currently used in customer service and support and as a smart home manager.
