We have approached the New Year - 2018 with high expectations and a lot of discussions about Artificial Intelligence along with a bundle of other technologies that may disrupt the industry in the coming days. In new digital economy Artificial Intelligence (AI), Robotic Process Automation (RPA) would play a major role along with other emerging technologies.
As per Gartner in 2022, one in five workers engaged in mostly nonroutine tasks will rely on AI to do a job. Artificial intelligence is poised to take a prominent place within organizations in 2018, and the same year will mark the beginning of the democratization of AI. In other words, a much broader range of companies and government departments will use AI.
What is Artificial Intelligence?
Artificial intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as adaptive behaviors within an environment or context, visual perception, speech recognition, decision-making, and translation between languages. AI is of the inevitable technology that aims to add intelligence to machines. Machine includes from a simple mobile phone with Siri / Cortana interactive applications / sensitive biomedical equipment’s / fully automated and even self-driving cars / intelligent drones etc.
Apart from the devices there are multiple software that have been developed to address the mundane/ routine tasks across various Industries, Corporates and Govt. Sectors. Basically these applications are focusing on core problems of AI including programming computers for certain traits such as:
Knowledge, Reasoning, Problem solving, Perception, Learning, Planning, Ability to manipulate and move objects etc.
Why AI is a becoming a reality?
AI is not a new invention, the concept and technology has been in use for a while in many industries. Implementing AI across the business wasn’t realistic earlier as other complementing technologies such as Internet, Machine Learning, Neural Network, Robotic Process Automation, Interactive Chatbots has evolved recently. Moreover the data accumulated on digital format within organizations in different formats, with Big Data same can be analyzed and extracted dynamically.
So, AI builds the platform and add intelligence to existing or new systems by doing self-learning through Machine Learning Capabilities to build its Dictionaries. The knowledge base can be optimized to have libraries that has been built based on Robotic Process Automations configured based on organization processes, self-learning, Feeds from IoT sensors, historic data analysis and various other sources. Automation can be triggered based on the algorithm built and can perform any repeated tasks within corporate.
Benefits & Use Cases of AI
Though AI can do lot, such as mental fatigue, loss of memory, efficiency, work without break, ability to learn beyond human brain capabilities, more accuracy than manual process. There are few real time examples as below are evident, most of us are already benefiting with its capabilities.
- Facebook recognizes the picture and locations and giving various recommendations
- Companies like Amazon and Netflix are setting trends for personalization based on predictive patterns, and providing responsive, interactive, and engaging experiences for their customers to maintain loyalty and develop innovative ways to retain them."
- There are local banks already using voice biometrics to improve security on their telebanking
- Intelligent Chatbot been used as a virtual customer service executives
- Larger banks & ISPs across globe are using Robotic Process Automation for performing their Know your Customer (KYC) process which requires lots of manual efforts and that takes more time.
Controversy / Risk / Myths
There are lots of controversy around AI especially advanced Artificial Intelligence that may be real risk or it is just myth which we have to wait and see in future. Apart from those sensitive destructive use cases, AI would be in the corporate sooner which may automate certain task what we do today!!
Adopting technology and being agile in professional environment can help rather than not been aware of the disruptions.
Article written by: Natarajan Gnanasekar, Technical Manager, Alpha Data.