AI, ML and Chatbots: How the trio is changing the IOS app development scene!
Posted on June 19, 2018
IPhone app development has been facing tough competition coming from Android. Largely this has happened because the large accessibility of Android both for users and developers. Any mobile app development company can have numerous points of freedom when it comes to Android against the highly regulated and sophisticated IOS app development scene.
IOS app development services have been trying to revolutionize IOS apps for years but the results have recently started surfacing with the help of Artificial Intelligence. Artificial Intelligence might have risen recently as a trend but it has been in the technology setup for years now.
In order to understand the impact of AI systems it is imperative to understand the very meaning of AI in its simplest form – AI enables a machine to replicate the human decision making process using pre-determined rules which are adjusted and improved with availability of more data. Hence, the very job of AI is two levelled – primarily it is supposed to replicate the human decision making process and second to it, it is supposed to go beyond the efficiency levels of a human mind. Whether it comes to playing Chess or Go, AI has already started beating human intelligence levels in various areas. Now, AI is coming at the centre of IOS apps for developers.
There are two forms of AI: General AI and Applied AI. Applied AI is usage of AI for conversational purposes in chatbots, their usage in self-driving cars or music recommendation or even production based on certain choices. General AI on the other hand is based on the premise that the AI system can solve any problem thrown at it. Now, under the wide umbrella of AI are Machine Learning, Deep Learning and Natural Language Processing. Specifically, when it comes to Machine Learning and NLP, chatbots are ever increasing effectiveness of IOS apps.
At its core ML is a subset of AI. Machine Learning is where a neural network made of binary questions or numerical values is created; this neural network somewhat replicates the neural network in our brains which we use to make decisions. Then with reinforced learning of constant feedback on the accuracy of its outcomes, the neural network improves. Natural Language Processing on the other hand focuses on identifying the meanings and underlying subtext of human messages and can also work upon replying them with almost human like responses. Sundar Pichai displayed the voice bot’s competency in handling human interactions at the Google IO 2018 Keynote. This was an example of the proficiency of Machine Learning and Natural Language Processing.
Chatbots have been at the epicentre of the customer service revolution recently and Machine Learning powered AI is just beginning to increase the impact of Chatbots. Till now, Chatbots were supposed to be channels of communication between customers and customer service executives. Chatbots were supposed to handle the mundane queries which were common and frequent amongst customer classes. Now, with AI and ML in place, Chatbots are becoming more empowered.
NLP is helping chatbots understand customer communication in depth, irrespective of the various nuances in the messages. Chatbots bring immense value to the business by being efficient, providing 24 x 7 support and providing on the spot solutions along with handling all the customers at the same time. Essentially, Chatbots with the help of ML can do the following with ease:
1. Provide customers with an interactive environment. Automated answering systems are way too mundane and monotonous for customers to interact with. AI powered chatbots on the other hand give the consumer the space they require to interact.
2. Prompt solutions. Another area where AI is defeating customer executives – providing readily available responses. Customers love the idea of getting their problems solve within the time of a snap.
3. Customer empowerment. At the end of the day, customers get the real delight when they can take matters in their own hands. AI gives them a chance to do exactly that by listening to their detailed queries, being perpetually available and giving instantaneous solutions.
Kevin is Energetic, enthusiastic, and communicative person. Eager to learn and adopt new people, ideas, technologies and innovative approaches, optimization techniques.