Chatbots: A Journey towards Embracing Conversational AI
In today's tech-savvy world, humans are hooked to machines, and machines are learning!
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Updated November 2026. This was first published on 23 November 2022. The idea is the same. Any number below is what the original piece said then. It is not a new count.
Key takeaways
- In today’s tech-savvy world, humans are hooked to machines, and machines are learning!
- Conversational Artificial Intelligence like chatbots and voice assistants have already made their way into our personal and professional lives.
- When integrated with Internet of Things (IoT) devices, these can interact with humans using automated speech recognition.
In today’s tech-savvy world, humans are hooked to machines, and machines are learning!
Conversational Artificial Intelligence like chatbots and voice assistants have already made their way into our personal and professional lives. When integrated with Internet of Things (IoT) devices, these can interact with humans using automated speech recognition. Needless to say, the chatbot journey, from a rule-based ELIZA to AI-powered NLP-driven ALEXA (and Siri), is nothing but enthralling.
With 2020 spinning the wheel of uncertainty worldwide with the Covid-19 pandemic, companies were forced to go digital and think of accelerating the pace of AI innovation to improve both employee and customer experiences.
Let’s take a deep dive at how AI, along with the need to go ‘codeless’ is changing the way we communicate and what the future holds.
The Chatbot Saga #
It all started when Alan Turing questioned ‘If machines can think?’ and introduced the Turing test in 1950 - a test of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Following the lead, Joseph Weizenbaum of MIT developed ELIZA in 1966, the world’s first rule-based chatbot, and multiple variations of chatbots were developed and deployed.
But, these Rule-based chatbots being highly menu/button based and with limited human understanding, created a paradox of command, leaving users frustrated and no major value-added. Though these types of chatbots use Natural Language Processing (NLP), using if/then logic to create conversational flows made interactions very specific and structured, and restricted to basic what it can do. They lacked the human touch and intelligence to adapt and learn.
Swinging the Needle from Rule-based to AI ML-driven Conversations #
Humans are social animals and love communicating. A chatbot is a program you can talk to and have a back-and-forth conversation. They converse using NLP and NLU – they ingest, comprehend, and determine the appropriate response in a language the user will understand. Add a personality, and you can make the chatbot seem real.
Today’s world is online all the time, and the one thing that today’s millennials love the most is Quality-at-speed. They tend to get frustrated easily and lose interest if they find something, not as per their whims and fancies.
Would you rather work through a maze of websites, products, and content offerings, or just ask a bot to process the info you need within a second. The chatbots more or less work on the design mantra - Your wish is my command.
Chat. Learn. Evolve. The Next-gen Conversational AI Bots #
Customer is the king, and customer service is a numero uno factor for any company to succeed. In an attempt to exempt human service desks from the time-consuming, repetitive tasks, chatbots came into existence. The chatbots reduced the need for human intervention and helped companies achieve multiple business values like faster time to market, improved ROI, and reduced cost and effort. As per Gartner, a chatbot is able to answer within 5 seconds of customer contact, while the average advisor took 51 seconds. A penny saved is a penny earned, indeed!
With great power comes great responsibility. Eventually, with advancements in technology and the onset of Artificial Intelligence, Machine Learning, and Deep Learning; new functionalities were added, and virtual assistants saw the light of the day and revolutionized the way companies interact with customers. Unlike the rule-based chatbots, these AI and ML powered chatbots are more conversational and focus on being interaction-oriented instead of task-oriented.
We are now surrounded by Conversational assistants - AI-powered programs that interact with users just like any other human being using NLP. Siri by Apple, Google Assistant by Google, Cortana by Microsoft came into existence. With Amazon Alexa and Google Home, voice conversations between humans and bots became a reality.
Business Impact: Conversational AI is a Big Bang for the Buck #
companies realize the value of conversational bots and their impact on customer engagement in the enterprise functions, especially across customer service centers, contact centers, sales, and marketing. Apart from just a digital presence, this digital world needs intelligent digital communication to craft a more effective and personalized customer experience. There is a rapid trend of chatbot adoption across service industries.
Immediate customer interactions at a reduced cost:**These intelligent chatbots are available 24/7 and resolve majority of the initial level context-based queries, enabling enterprises to service more customers without increasing their overheads.
Maximize employee productivity:**By automating the mundane tasks, conversational chatbots reduce human involvement, thereby freeing up employee time to tackle sensitive human-centric tasks.
Fueling AI Innovation with codeless experience:**Creating a conversational AI chatbot solution can be complex and time-consuming. With codeless experience gaining momentum and starting to change the landscape of innovation, there is a plethora of Bot development platforms available today enabling enterprises to scale up the digital ladder with agility.
WeChat Open Platform, Microsoft Bot Framework, Facebook Messenger Platform, Pandorabots Platform, Kore.ai Platform, and Watson Assistant SDK; these platforms have basic support for natural language processing (NLP).
Chatbots are now empowering humanity with automated, real-time, and on-demand decisions and services with sophistication and empathy. From limited scope to dynamic learning and personalized experience, it’s a journey from proscriptive to prescriptive.
A Whole New Customer Experience in a Whole New World #
The COVID-19 crisis disrupted the way businesses functioned. With worldwide shutdown and travel restrictions, everything and everyone went online. Touchless experiences and services became the need of the hour. Businesses were forced to quickly go digital to stay connected with the employees, keep the interactions with the customers open, and provide online services all at the same time.
With such drastic disruptions, companies focused on the importance of digital self-service, automation, and artificial intelligence and paved ways for new opportunities.
NLP and ML will become more powerful, and chatbots will not only respond to answer your questions. will be able to talk, think, and develop emotional relationships with users. Chatbots will ultimately become every companies’ first responders and first-line-of-interactions. Empowering the chatbots with such real-time what it can do using the new-age intelligent technologies helps realize the true business value and empowers the companies in providing value to the customer.
In this post-COVID new-normal world, the enterprise chatbot platforms will gain more momentum irrespective of the industry type. AI continues to be the most popular trend in delivering personalized experiences in real-time. Businesses must adapt and integrate technology into business processes to keep up with the competitive edge in this technologically evolving environment. This digital transformation will generate significant value to users, and companies transforming the aspect of communication.
The Bottom Line #
Honoring all euphoria and hopes, one cannot deny the current limitations and challenges. Remember Microsoft’s Tay – a Twitter bot that had to be shut down within 24 hours of its launch due to its incapability of handling diversity and lack of understanding of inappropriate and sensitive human language. It was a classic example of AL ML gone awry.
Nevertheless, Conversational AI is the new bizmeth. By creating the right set of solutions, chatbots help enhance customer interactions and improved CX (Customer Experience) at a reduced cost. Powered with such nimble-witted features, the advantages clearly outweigh the disadvantages.
The bot wave is still evolving, and innovation knows no bounds. New innovative and disruptive chatbot strategies will emerge, and possible use cases will be limitless. With the rapid advancements across natural language processing and machine learning, the futuristic chatbots could be amped up with Emotional Intelligence providing leading-edge solutions and personalized experiences that are customized to the industry’s need.
Did you know Microsoft has been granted a patent for a chatbot that can take on the personality of real people? It says that the chatbot could be implemented to recreate and imitate even dead people.
A truly sci-fi conversational experience along with greater technological strides in ease and communications await us.
Questions and answers #
What is the main point? #
In today’s tech-savvy world, humans are hooked to machines, and machines are learning!
What else did the original piece say? #
Conversational Artificial Intelligence like chatbots and voice assistants have already made their way into our personal and professional lives.