- February 20, 2020
- By: Nishant Agarwal
- Blogs, Conversational Intelligence
Most enterprises use Conventional AI to build a reliable, engaging, and valuable customer relationship.
1. The gradual Advancement of Chatbots to most Conversational A.I. bots
The year 2020 is accompanied by remarkable transformations in the world of chatbots to the Conversant A.I. platforms. The usual engagement obtainable from chatbots is no longer fishable by most customers. Most Artificial intelligent conversation bot, when compared to most chatbots, is seen as a practical cognitive bot that can comprehend human sentiments and decode complex tasks.
The NLP abilities of the conversational A.I. create an enabling environment that supports a one-on-one conversation with your clients.
The NLP is built to understand and model human feelings. Most businesses out there gain satisfaction knowing that their clients are delighted.
The presence of an excellent promoter score makes the A.I. bot more reliable; to this effect, it is considered as a better option when compared to chatbots.
2. No-code and Low code Platforms
With the current conversation increase that has escalated from hundreds, thousands, and now in its millions has caused most establishments to look for suitable platforms to meet up with there ever-evolving conversational artificial intelligent needs.
Coding for this requirement can most times be very tedious.
No code/Low code platform appears to be suitable when addressing this issue. With a possible feature for different used cases, the platform can create their A.I. bots in a couple of seconds.
No-Code and Low Code platforms are created to enhance the effectiveness and agility of most businesses, and this has a strong potential for growth in the year 2020.
3. Digital Supporter for Business Enterprises
The world today has a simple rudiment that governs most employees of the twenty-first century; their strong affirmation for smart and quick outcomes, rather than conventional hard work.
Today, numerous activities limit performance in employees, and as a result, affect their level of productivity. Currently, they have a high demand for private assistants (Alexa) to carry out most of their works.
Mail searches, meeting management, task assignments, are some areas where most white-collar employees give in 30 -35% of their effort. The good news is, all of these listed activities can be performed using a virtual assistant.
Leena, Kora, Capacity, Adenin, AI, are some examples of virtual assistants that are dramatically changing the perspective of work in nearest future.
4. Personalization
Most Conversation Artificial intelligent bots invented in the year 2020 are built with highly personalized designs and with remarkable inbuilt contextual conversations that create human touch.
For instance, the bots are built to comprehend and remember the context of Conversation, user preference, and past dialogs.
Amazingly, they are also built to transfer the context to different Conversations to have a full comprehension of what occurred in the past, and what will happen in the future.
With its humans que; the bot understands a change in mood and provides the right and suitable response.
5. A.R. in Conversational Artificial Intelligence
The augmented reality A.I. is a unique technology that deals with engagement level and height. The technology is relatively new for web and mobile apps.
And most users are not used to its mode of operation. Its operation depends on the performance of the user and the stage they are in your buying cycle.
For instance, you want to buy a table and intend to know how it will fit in a bedroom or living room; the use of this technology will yield a perfect result.
The inbuilt cognitive abilities of the Conversational A.I. platform can serve as an online concierge to help customers when carrying out a purchase.
6. SMS 2.0: the RCS Messaging
SMS Channels is one of the significant platforms for publishing Conversational A.I. bots. Today, the Conventional SMS channel has been replaced with a Rich Communication Service (RCS).
Google messenger is designed with contemporary messaging features like typing indicators, reading receipts, transferring content like PDFs, images, video, and many more.
The future experience of RCS will be pretty similar to that of we-chat, Whatsapp, or iMessage. This time the software will have to work with the network on your cell-phone and not the regular internet.
7. Solution Bots
Most enterprises that contemplate the application of bots need speedy investment returns. The Plug-and-play bots are intelligently designed and properly trained with fast performances.
Most chatbot players now provide prepackaged bot that has an inbuilt store data that is trained and tested with specific domain terms and technical vocabularies.
The bot, if optimized properly, can help customers manage and actualize a faster time experience in a market place.
The App Fatigue, Convergence of different Apps
Normally, a user can have 75 -80 apps on a smartphone. Each app has its own sets of unique functions. This can take the form of a travel app, banking app, utility app, informative apps, and many more.
On the other hand, when these apps are used continuously for pinging and buzzing, the chances are that battery and data will be consumed, which can often lead to disillusionment and fatigue.
In the year 2020, we see the conversational bot incorporating different apps and becoming multipurpose.
Conclusion
2020 is indeed a swap from the usual human abilities to conversational bots. However, there are businesses out there that are yet to make up their minds and embrace this change.
So the question here is, what’s your predictions on the conversational A.I. bot? And how do you intend to implement it in your organization this year and beyond? Feel free to live your comments in the comment box below.
