Information technology plays an increasingly influential role in the way industries manage and control business. The advent of the Internet spurred growth across the globe with websites that can be accessed from every corner of the planet.
Businesses capitalised on the ease and efficiency of websites that garner wider coverage, brand recognition, which in turn increase profits. Ever expanding and growing by leaps and bounds in a matter of days, IT programs that facilitate improved business transactions are constantly upgrading themselves.
Bot-enabled software programs are the latest trending feature in online sectors. Chatbot development in Singapore is here to stay, they are cool, clean and incredible chatting machines. Long has the debate that bots are more a fad or a passing craze been dismissed, as they have made their niche and settled in as fundamental aspects of growing business models.
Battle of the bots
While Bots dominate the online messenger landscape, replacing familiar mobile apps, there is a storm brewing within the ‘botverse’. The predominant question being; is AI (Artificial Intelligence) better than rule-based ChatBots? A lot of people are curious to learn which program takes precedence, what are the benefits and pitfalls of either software and most importantly which option should a business invest in to see maximum rewards.
Here are some features of rule-based Bots and AI-supported bots that will help understand the differences between the two and how they function overall.
These types of Bots function on a pre-defined key set of options and answer questions based on those parameters. Rule-based Bots can be designed to understand the value of the product or service being supplied.
Rule-based bots were fundamentally created as a push button answer to general tasks like setting an event on a calendar, booking a flight, displaying information, managing social media, and much more.
Chatbot, the rule bot’s more social cousin
Much like rule-based Bots, chatbots are programs tuned toward stimulating conversation with people. Popular and resonant on several social media platforms and chat-based applications and environments, chatbots own several avatars.
Chatbots have found a welcome home in social and community-oriented websites, like Facebook. Apart from delivering information, chatbots also gather or direct information according to the user’s preferences, unlike rule-based Bots.
Easy to build, chatbots deliver one-dimensional linear based support and are ideal to meet and exceed customer service demands. Built by a specific technology, chatBots require a defined architectural format. Quicker and easier to construct, implement and deploy, chatbots are cheaper alternatives to AI. However, there might be some long-term concerns in terms of analytics, reliability, learning, and liability.
Artificial Intelligence run bots
AI Bots can be seen as a more sophisticated cousin of chatbots. A fundamental difference in the way the two programs differ is Natural Language Processing (NLP) abilities. The beauty of NLP is it helps the program understand the intent of the question asked. It can decipher context of what is being said by the user. NLP is the brain or the intelligence factor in AI bots.
AI driven Bots have the ability to learn from information gathered, based on which they can then make decisions. For instance, a person looking to book a flight online might say ‘flights to Paris’ or ‘I need to book a flight to Paris’. People from different parts of the world would frame this question in context with their native language. AI Bots can identify the language used, decipher context and then present options based on responses.
Regardless whether your need is fulfilled by a rule-based Bot, Chatbot, or AI Bot, there’s no doubt these customer-friendly programs are here to stay.
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Also published on Medium.