Just to mess with my friends if even if someone keeps bugging me I think it would be so much fun if I could have the chat bot talk for me. Is there anyway to implement that ?
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Just to mess with my friends if even if someone keeps bugging me I think it would be so much fun if I could have the chat bot talk for me. Is there anyway to implement that ?
submitted by /u/SufficientCrystals
[link] [comments]
Hey! Can anyone help me identify the differences between Dialogflow CX and Watson Assistant? Has anyone come across any helpful links? Or have you used both platforms before? Thanks!
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The Chatbot Conference Online is now less than a month away!
If you haven’t registered, this is the perfect time to sign up and save your spot.
Let our team know if you have any questions.
Looking forward to seeing you at the Conference.
Cheers!



On Day 1 our Goal is to give you an overall understanding of the Bot Ecosystem, to discover the best business application that are producing an ROI, and to do deep dives in the most essential areas.
We aim to answer the most pressing questions such as ‘what use cases have the biggest ROI’, ‘what is possible given the current state of AI & NLP ’, ‘what is the best way for Enterprises to get started’ and many more. The Live Q&A is the perfect time to ask them questions and go in depth on their topic of expertise.
RegisterAI Developer Certification & Conversational Design Certification

Your bot will be able to answer 10 FAQ questions, have a great on-boarding experience and a number of fall backs. You will learn how to design and develop a bot using NLP/NLU Platforms and deploy your bot to a website, sms, messaging channel or voice.

In this workshop, you will learn how to design a great chatbot. You learn about copy writing, user research, UX design and how to use data and analytics to improve your chatbot or virtual assistant.

In this workshop, you will learn how to build a bot using Natural Language Processing. You will learn about intent classification, entity extraction, dialogue management, and you’ll learn how to make your bot conversational using NLP!

Less than 1 Month to Go was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Innovation in conversational AI, fused with the propagation of messaging apps, is fuelling the progress of chatbots. Humans are inherently able to talk and connect in natural language. However, we weren’t born with panels to swipe or keyboards to key in text. Our ears and eyes are set to take external information in a verbal and written manner and process it through our brain optimized for language. This is what artificial intelligence does, through system simulation, to help businesses better engagement of their customers.
Usually, bots are using NLP technology for queries and provide answers to customers, thereby capably surpassing customer engagement for your business.
The conversational AI or chatbot craze commenced in 2016 with Facebook’s revelation of a user-friendly platform to develop conversational AI on Facebook messenger. Shortly, chatbots were publicized as the next stage of the conversational revolution.
Artificial intelligence is going to redefine how consumers can get success, and your marketing department is likely focused, or must be focused, on customer engagement as a key to thriving in this digital era.

One of the amazing inventions of AI is ‘Conversational AI’ (chat-based or voice exchanges) which is the usage of messaging apps, speech-based assistants, and chatbots to automate communication and create personalized customer experiences for your business. According to the global survey, it is expected that businesses are leveraging the AI for best customer engagement.
Conversational exchanges are driven by words, whether in complete sentences or a set of words. Moreover, unlike social channels, they can help to engage, two-way connections with private listeners. When merged with automation and artificial intelligence (AI), these connections can connect humans and machines through virtual assistants and chatbots.
There are multiple areas in the field of AI, out of which conversational AI is the most sought after around the globe. Conversational AI is the biggest support to the B2B organizations as it serves their customers in a way that entire queries are resolved which gives peace of mind to you and them. It has wide applications in several fields viz. Real estate, Healthcare, hospitality, banking, education, and many more.
As digital footprints expand across the world, it is expected that by 2020, 30% of all B2B enterprises will deploy artificial intelligence to boost their primary sales process in various sectors. Conversational AI is one such area where businesses can streamline their customer engagement management platform.
You, as a business, would want to put your best foot forward when it comes to your customer engagement on digital platforms. You can do so by either incorporating a new digital platform or by redefining the existing ones.
3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen
Nuacem’s conversational AI will modify every aspect of when, where, and how you engage and converse with your customers. It would help if you are capable enough to hold perfect, synchronous conversations with consumers across any channel they happen to be operating at the time, no matter where they are. Notably, those conversations could be a short one-off entreaty or response, or part of a longer-duration customer engagement until their queries are resolved.
Your company is communicating with a consumer throughout the time they’re using your product. With our experience delivering conversational AI solutions to several enterprises, we’ve observed that few use cases are able to get benefitted from such technology better than others.
Companies, seeing the possibility, are launching to test with the technology. Several brands have already adopted bots on collaboration channels, including 1–800-Flowers, and CNN. The leading chatbot use cases are e-commerce, customer service, and customer engagement. Nuacem’s flagship AI-powered products for chatbots could substantially cut human agents for your contact center costs.
Though chatbots can rarely pass as human conversationalists, here are some of the potential commercial benefits that conversational AI can offer.
Companies, seeing the possibility, are launching to test with the technology. Several brands have already adopted bots on collaboration channels, including 1–800-Flowers, and CNN. The leading chatbot use cases are e-commerce, customer service, and customer engagement. Nuacem’s flagship AI-powered products for chatbots could substantially cut human agents for your contact center costs.
Nowadays, consumers expect to be able to connect with enterprises on their preferred chat system, through words and voice, just as they presently do with friends and family. They want to do so because it’s easier, less intrusive, and quicker than using other communication channels.
Several businesses are there in the marketplace that provide AI-driven conversational platforms exclusively focused on high-impact use cases, including IBM’s Watson, Nuacem suite, Facebook, KAI, and many more.
Smart conversational support is the most natural approach for companies to connect with machines, services, clients, buyers, and personnel all over the place. Several companies have decked up for their unique offerings in Conversational AI; however, quality matters for their customers. Business success comes with customer success.
Nuacem is an AI-powered Omnichannel Customer Engagement Platform that offers the comprehensive features and capabilities required to build superior customer engagement, experience, and support solutions built for businesses.
Nuacem’s AI platform powers natural language business products that are continually improved through AI-powered tools and platforms that empower human capital to assess performance manages the conversations and enhance the end-user experience.
As more businesses join the ecosystem, the experience will only improve for consumers, leading to greater adoption and, thus, better outcomes for businesses.



Redefine your Conversational AI for the Best Customer Engagement was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Machines started to respond to humans based on the intents we humans provide.
It is here AI in business began for conversation purposes.
But the problem is AI will respond to the trained intent or utterances.
It has become a bottleneck for the enterprise in handling natural language used by the customers.
To solve this, AI companies started developing Cognitive AI technologies that have given birth to cognitive conversations.
And Cognitive Artificial intelligence is one of the latest innovations made by AI.
Every innovation motive is to build solutions that solve business problems.
AI professional experts also predict that in the coming next five to ten years.

The machine conversation capability will progress extensively that will lead to a flock of life-changing artificial intelligence applications.
We are entirely moving to the era of Conversational AI systems. It is a combination of NLP, AI, and machine learning to understand and respond to voice/text in a personalized and engaging manner.
And all enterprises will shift from scripted conversations to cognitive conversations very soon.
In this blog, we let you be acquainted with how cognitive conversations are leading the latest innovations in AI.
Before that, you must understand the differences between cognitive conversations and scripted conversations.

Continue reading!
Let’s look out how cognitive conversation platforms lead to the latest innovations in AI.
Cognitive Assistant is the latest technical innovation developed using the latest innovations of AI or Conversational AI.
These assistants can be used for various purposes, such as workplace and customer care.
The assistants help contact centers improve customer experience, customer engagement, and new revenue systems by minimizing agents’ response time by offering self-service for mundane tasks.
We at Nuacem develop top-end cognitive assistants or best AI chatbots that work very well with text/voice. Soon, we are launching intelligent video assistants to help our clients be ahead of their competitors.
3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen
Every enterprise or business is planning to localize its business to reach the maximum number of customers.
Most of the Chatbots’ problem is they support limited and popular languages used across the globe.
But, we at Nuacem offer multilingual cognitive ai technologies bots that support 55+ languages.
With these multilingual digital intelligent agents, humans can converse in their natural language and quickly solve their issues.
It is a combination of Machine Intelligence and human cognitive abilities.
Augmented Intelligence is another latest advancement that came from the branch of Artificial Intelligence.
Augmented Intelligence is the technology that helps to enhance human capacity rather than replacing them. It follows five a five function intonation that enables it to become skilled at human Intelligence.
Augmented Intelligence helps enterprises to make optimal decision from available solutions that automatically improve employee productivity and decrease operational costs for an organization.
We live in the digital world, where most users spend most of their time on mobile phones.
And currently, customers are more interested in online shopping rather than visiting physical stores.
The retail companies are planning to shift to the omnichannel approach from a multi-channel approach to improve their sales.
Omni-channel approach helps in making cognitive conversations with the customers to provide a seamless customer experience through various channels such as desktop, mobile, messaging apps, and many more.
This conversational commerce provides a guiding experience for valuable customers to purchase services and goods through their chosen channels.
At Nuacem, we offer a top-notch Omni-channel platform using Conversational AI to improve retail enterprises’ sales and revenue.
Traditional product/service contact centers are facing troubles inadequately analyzing the customer emotions and sentiments (Positive, Neutral, and Negative) on services/products from the text.
It is where conversational/cognitive sentiment analysis comes into existence as an advancement in Artificial Intelligence.
Sentiment analysis uses NLP, text analysis, and computational linguistics to identify, extract, and study affective states, emotions, and personal information.
Sentiment analysis is used for the proper routing of customer calls to authorized departments. It examines cognitive conversations between humans and enterprises and suggests the firms where to improve and where to not.
At Nuacem, our sentiment analysis platform will also examine the voice sentiment along with the text, but other conversational AI providers only provide text sentiment analysis.
Apart from text and voice sentiment analysis, soon, we are coming with more updates.
To avail of all the above cognitive conversational solutions, please contact us.
More advanced and exciting tech solutions are on their way using the advancement in Artificial Intelligence, which we will bring you to the market very soon.
Stay tuned to us! For more exciting and interesting things about Automation, the future of AI, Conversational AI, and Pragmatic AI.



Cognitive Conversations Leads The Latest Innovations In AI was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
The dream of any chatbot developer or product owner is to have an accurate report of how their chatbot is performing. But how can you ensure the continuous improvement of your chatbot?
The “Achilles’ heel” of NLU chatbots is the accuracy to correctly identify the user’s intent and avoid:
1. responding with the wrong intent
2. transferring to a human agent due to lack of confidence, when it should have understood the intent from the beginning
3. responding when it doesn’t have to, instead of passing it on to an agent

The first thing we need to do to prevent this from happening is to know when, how and why these errors happen. Once we have this information, we will be able to retrain and correct NLU training or engine errors.
However, there is no tool on the market that can give us this information accurately — a machine can’t really tell when it’s not doing its job properly, right?

At Bitext, we have created a semi-automated methodology that allows us to tag, analyze and process the data in order to get that precise snapshot of our chatbot’s NLU performance, from which we can improve and evolve it. If you would like to learn more about it, make sure to contact us.
The idea is simple: a manually curated objective assessment, a detailed report that takes multiple dimensions into account, and a root cause analysis and retraining based on linguistics. No more “black boxes,” and no more throwing our hands up in the air because “this is all we have.”

From now on, if your chatbot doesn’t work properly and you can’t even identify the reason why with some certainty, Bitext can help you. If you haven’t already launched you bot, this is the best time to get it right! We recommend that you follow these steps to guarantee the success of the NLU model.
3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen
The five key steps would be:
1. correctly identifying your use cases
2. building a comprehensive ontology
3. develop clear definitions for categories, intents and dialogues to avoid overlap
4. generate extensive data, adapted to the user profile for your chatbot
5. put monitoring, evaluation and retraining model in place to produce measurable improvements over time
This is the method that we have developed and have been successfully implementing over the last 2 years. Are you ready to give it a try? Request a demo or let us know if you have any questions or comments.



NLU Chatbot Evaluation- 3 Common Errors and 5 Key Steps was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

In 2020, conversational marketing proved to be one of the most effective marketing approaches. While WhatsApp alone may not be able to generate the larger amount of direct sales for your E-Commerce business, it certainly has to be your go-to channel for establishing a community of loyal customers and enhancing your brand’s visibility. Whether it’s answering customer queries, offering support, alerting customers about new products, getting feedback and reviews, or so on and so forth — it is the perfect channel for all communication.
Not too many blog posts ago, we told you how E-Commerce businesses can leverage WhatsApp API for their growth. In this article, we’re going to plunge further into how you can anchor your outgoing communication using WhatsApp Templates.
If you’re looking for proven interaktive ways that you can adapt for communicating with your customers — you’re in for a treat!
We’re going to be sharing approved WhatsApp templates (leave the heavy-lifting to us) that you can use in your communications with your customers. These templates will enable you to keep interakting with your customers at each stage in their journey with you!
That’s right — we’re sharing templates you can use right from when they’ve visited your online store until their order has been completed 🥳

Let’s buckle down!
Customers dropping off at the check-out page without completing a purchase? This can be nerve-wracking. But not all is lost! This template will help you send a message to your potential customers that reached the check-out page but didn’t complete the purchase. With an open rate of 99%, it’s extremely likely that your customers will acknowledge a message on WhatsApp rather than an email — which has an open rate of 15–20%.
Here’s the template you can use to recover an abandoned cart:
<Header> Thanks for visiting our store!
<Body> Hey {name},
We noticed that you had trouble completing your recent purchase.
Don’t worry — we have temporarily reserved the items in your cart for you!
Let us know if you have any questions — we’re more than happy to help! 😊
<Button> Need Assistance
Cast your safety net! Sending an order confirmation fulfills a psychological need for your customers. Sending them a WhatsApp message will assure them that you’re going to deliver on your promise by letting them know that you’re processing their order as soon as you can for timely delivery!
Here’s the template you can use for order confirmation:
<Header> We’ve received your order!
<Body> Hey {name},
Thank you for shopping with us! Our team has already started preparing your order and we’ll let you know once it has been dispatched 📦🚚
Here are your order details:
Order ID: #12345
Date: April 14th, 2021
Shipment status: Preparing for Dispatch
Item Ordered: Personalised Lounging Bean Bag — Grey with Coral — Size M
Quantity: 1 Price: Rs. 4,999
Payment Method: UPI
Feel free to reach out if you have any queries — we’re more than happy to help! 😊
<Button> Need Assistance
With a shipping update, you can keep your customers in the loop about when they can expect to receive their order. From when it’s dispatched, shipped, and out for delivery — it’s always nice to keep your customers informed about their order. You can even go the extra mile to ask your customers how they would like their order to be delivered — left at the doorstep or have the delivery agent call them.
Here’s are 2 templates you can use for shipping updates:
Template 1 for dispatching and shipping:
<Header> You’re one step closer to receiving your order!
<Body> Hey {name},
Your order (ID: #12345) has been packed with love and dispatched for shipping from our warehouse! 🙌
We’ll let you know when it’s reached your city and ready to be delivered 😊
Template 2 for Delivery:
<Header> Your order will be delivered today!
<Body> Hey {name},
The wait is over — Your Order (ID: #12345) will be delivered to you between 12 pm to 5 pm today 😀
Let us know how you’d like to receive it:
Type 1️⃣ to leave at the doorstep
Type 2️⃣ to leave with the security guard
Type 3️⃣ to have the delivery agent call you
Type 4️⃣ to reschedule delivery
We hope you like your order!
Feel free to reach out to us if you have any queries — we’re more than happy to help 😊
<Button> Need Assistance
The next message you should be sending is a message to let your customers know that their order has been delivered. This is particularly important if they have chosen to have their order left at their doorstep or with their watchman!
Here’s a template you can use to let your customers know that their order has been delivered:
<Header> Your order has been delivered!
<Body> Hey {name},
We hope you love the order as much as we loved having you as our customer.
Thank you for shopping with us!
Until next time,
Team Sunshine ☀️
It’s very important for you to gather feedback and reviews from your customers as it will help you to serve them better. Sending a follow-up WhatsApp message after the order has been delivered is a great way to receive feedback because by now, you have had plentiful interactions with your customers and hence increased the presence of your brand.
Here’s a template you can use for feedback:
<Header> We hope you liked your order!
<Body> Hey {name},
We’re always working to make Sunshine exactly what you need for all your furniture needs. Your feedback on your order (ID: #12345) will help us improve on our products, customer service, and our platform!
To help us make Sunshine the best it can be, please take a few minutes to complete the feedback form below.
Don’t worry! We won’t take much of your time, all you need to do is rate different factors on a scale of 1 to 5! 😁
Once again, thank you for shopping with Sunshine! ☀️
This template can be used in case there were any payment-related issues with your customers’ orders. Since WhatsApp has a read rate of 80+%, it’s extremely likely for your customers to acknowledge your message and complete a successful payment.
Here’s a template you can use for payment related issues:
<Body> Hey {name},
We’re sorry to inform you that your payment for Order #12345 has failed 😟
Worry not! You can complete your payment by simply clicking the link below to redirect you to the payment page.
You can also choose to speak to someone from Team Sunshine for any queries, we’re more than happy to help! 🙋
Happy Shopping! ☀️
<Button 1> Complete Payment
<Button 2> Chat with Support Team
To sum it up — if you are an E-Commerce business, it is crucial that you get access to WhatsApp API because of how convenient it is to engage with your customers. Switching to WhatsApp for most of your conversations with your customers would mean no more on-hold customer support calls or support emails getting lost in inboxes, never to see the light of day!
If you’re looking to speed up your ticket resolution time, enhance customer experience, and improve engagement — then interakt is your solution! Sign-up today for our 14-day free trial to experience the game-changing features for yourself. That’s not all — get on board with us before June 30th, 2021 to get WhatsApp Notification charges waived off for 3 months under our new Accelerate Scheme.



7 Personalized WhatsApp Templates To Keep Your Customers Happy was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.