Blog: Top AI tech trends for 2019
Artificial Intelligence is making leaps and bounds for industries across all sectors as companies start to incorporate this new technology for future growth.
Here are some of the top AI trends that are making an impact on their respective industries:
Speech recognition is becoming more mainstream through software applications such as Siri, Amazon Echo, and Google Home, just to name a few. This technology has the capability to transcribe human language and perform other functions based on voice commands by converting speech to text and interpreting the text in real-time. Artificial Intelligence comes into play in being able to overcome challenges in accents and background noise.
Machine learning is a subset of AI that involves training a machine to learn by itself based on pattern recognition. Current systems that have machine learning in place include self-driving cars, Netflix (tailoring recommendations based on what you’ve watched), and Nod! All of these examples involve analysing data, identifying common patterns, and producing a result based on those patterns that fit the desired outcome.
Robotic Process Automation
Robotic process automation is a program (robot) that can emulate humans interacting with digital systems to perform a business operation. Except it can perform the operation flawlessly, more efficiently and never tires out. This can make dramatic cost and time savings for an organisation and allows people to devote more time for complex, higher-thinking tasks.
Natural Language Processing
Natural language processing is another subset of AI that helps computers understand, interpret and manipulate human language. Because there is an exorbitant amount of textual data out there, NLP is used to decipher the meanings in the words and sentences for data analysis. Nod uses NLP to understand the text in the Statement of Advice documents to help Nod’s Machine Learning function in generating a new document based on patterns found in analysing the large dataset of documents.
Image recognition refers to technologies that can identify places, logos, people and other variables in images. They do so by spotting patterns in the objects and then labeling the identified patterns according to what the programmer assigns the label as. The more data that is fed through the system, the better the AI is in recognising the same pattern.