Artificial Intelligence (AI) has been part of industry for past 4+ decades, initially it was being used in video games e.g. “Chess”, but picked up the pace in last 2 decades after introduction of robotics in early 2000 for manufacturing industries. Now true usage is being capitalized by industry in last one decade where it has been extended by Robotics Process automation (RPA) and Machine Learning (ML) tools and applications.

AI is a future technology and use cases are still un-imaginary. It has proved its solid worth in healthcare industry, where it helped to diagnose those critical diseases; which are not quite easy for a doctor to confirm due the limitation of human eye colour spectrum to analyse colour CT / MRI scans, it also helped in critical surgeries to operate with robotic arms with more precession and accuracy e.g. heart, brain, spine and other limb surgeries.

With the help of Robotics Process automation (RPA), it has extended its usage to various industries like logistics, e-commerce, aviation etc. Now a days Bots are being used in fixed or relevant query response management (BPO, KPO), traffic signal management (Robots), Information query management (Self Service), Personal Identification (face / voice recognition), warehouse inventory management, Drones and many more applications.

“AI is a future technology and use cases are still un-imaginary”

Machine Learning (ML) adds additional advantages to AI in terms of behaviour or patterns Analytics such as human moods / emotions, growth / historical patterns, which help to predict future behaviour for the personal or industry growth.

If we talk about the real time application of AI then there are so many examples where it has proven its capability and worth.

Voice Assistance: Nowadays we use voice assistance which is powered by ML they recognise the voice via Natural Language Processing (NLP) which convert into ML algorithm and formulate response accordingly.

Facial Recognition: Smart phones uses facial recognition to unlock based on ML algorithm as it learn on day to day basis about the expression, movement or change of face. Facial recognition AI algorithm is also being used for marking attendance of students in school and colleges. Also help police to search criminals and missing people.

Robotics: Some countries are using robots as police to manage their day to day traffic management and surveillance system. Few e-commerce companies are using robots for their warehouse inventory and efficient storage management. Drones are being used for parcel deliveries and remote camera surveillance in remote or non-accessible areas. Robots are being used in manufacturing industry to produce their devices/equipment with more accuracy and proficiency. In health care robotic arms are being used for surgical procedures to perform more accurate and precise jobs.

Location Map: based on user current location, preferences and past historical activities all relevant places visible on online maps. Assigning nearest cab to the passenger by cab services based on user location as improved transportation, chat bot for all web related enquiries where user get response based on his/her input and based on current geographical location.

IT security: AI can help to understand anonymous user behaviour or activity within organization to protect data privacy and leak /theft. It can also learn from dark web activities and prepare a defence system by patching all possible internal or external vulnerabilities to protect organizations in advance as proactive measure rather to reactive action.

Space: almost all countries are using AI for their space research programs and are very successful. Since robots can be sent to space for respective research without taking risks of any life form and can have longer duration of projects for accurate and detailed findings.

So far we have seen all positive applications towards the industries, which can help to improve the eco-system. But think of the adverse impact as well on other side of ecosystem.

Jobs: When we talk about more efficient work force without any tiredness and complaint then we think about robotics implementation, but if all human work force is replaced by robots just like in manufacturing segment; then what? This may lead to increase in un-employment.

Healthcare: Robotic AI systems must be under continues watch for any change in algorithm of system operations.

Digital Security: As I explained earlier AI is great for IT security, but what if AI engine is compromised due to some bug in its own system and decide to take control over digital platform, as it will be known and aware about each and every bit of organization detail? We have experienced in past that some of the digital bots talk to each other.

Conclusion: There are so many speculations in field of robotics and self-dependent robots, but I do not want to get into. I have got only two concern related to current and next decade situation i.e. jobs and Digital Security, which may lead to serious outcomes. We need to think through for what to achieve not only as an organization but also as a nation and prepare ourselves for all possible outcome and be ready with remediation e.g. how to generate more human jobs? How we can control AI engine if got malfunction? etc. as primarily and precautionary actions.