There is no denying that chatbots have gained enormous popularity over the past few years. From e-commerce to social media platforms, bots are everywhere. Through chatbots, companies are automating various repetitive tasks like sales, customer support, and online banking. But is this enough in generating more leads and getting an edge over your competitors. Chatbots are fully scripted and provide limited options to users/customers.

With the rising complexity of navigating the digital workplace, technology is evolving to offer new routes to the information employees need. Gartner reports that 70% of white-collar workers will interact with conversational platforms daily by the end of 2021. Workbot combines natural language processing with artificial intelligence and adds a human touch to the conversation to provide relevant responses.

Why Workbot is the Future?

The breakthrough in technology has completely changed the way the business communicates with their customers. Organizations are under tremendous pressure to drive customer interactions effectively and respond to their query in minimal time. Gartner reports that virtual assistant usage in the workplace will climb to 25 percent by the end of 2021. To meet your business goals and generate more revenues, companies must implement a system that engages customers more effectively by providing relevant content in the shortest time.

Workbot is your best bet when it comes to creating engaging and interactive conversations. Workbot increases user engagement by using interactive workflows and make the conversation more human-centric. They help businesses in educating their customers about their products, services, and other marketing campaigns.

For example, workbot helps in educating students by providing an interactive learning platform experience to them. It allows the education platform to automate student’s queries, take surveys, and collect their questions. It also allows you to download various multimedia and other documents for a complete visual and interactive learning experience.

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

Benefits of a Workbot

Technology shift expects businesses to take ownership of the customer engagement process. Optimizing the customer experience and implementing real-time and consistent interactions is the way forward. Workbot does just that by creating a positive and memorable experience at various customer journey touchpoints. It not only brings benefits for businesses but also to learners and customers.

It provides the following benefits to businesses:

§ Help customers learn about your products, services, and marketing campaigns.

§ Help new hires in a smooth onboarding process.

§ Help employees learn organization ethos, Sop’s, and new skills.

It provides the following benefits to learners or customers:

§ Make learning interactive and personalized with sound pedagogical frameworks.

§ Help learners or customers access multimedia or other documents that are useful for further learning.

§ Help learners or customers take surveys to provide feedback.

§ Help students to learn anytime from any location.

Are People Ready for Workbots?

Do you find pre-coded chatbot responses irrelevant? Are you struggling to find information using chatbots because of their rigid conversational structure? If yes, then the adoption is expected to be quick and easy. Workbot adoption also depends on how well a workbot engages users and improves customer experience.

Users often lose their interest when they must choose options that are pre-coded and are irrelevant. If it continues to do so, users may completely abandon it. Workbot is quite helpful here. As it utilizes natural language processing, it can drive the conversation better. NLP relates thoughts, intent, language, and pattern and responds accordingly.

Conclusion

Botspice workbot takes away the effort of coding and building your brain to drive the conversation. It allows you to modify the workflow and deploy your workbot in minimal time. If you are curious to learn more, reach out to our expert and start your journey with a workbot.

Don’t forget to give us your 👏 !

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Forget Chatbots and Create a Workbot Instead was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Onboarding Workbot-Shorten Time Take To Answer Employee Queries By 50%

Onboarding is a tedious and laborious administrative process. A new hire often has multiple questions before joining a company. Understanding the policies, functionality and, processes of an organization is the no-so-exciting part of the new job, however the most important.

According to a study, up to 20% of all new hires resign within the first 45 days of their role, representing an enormous loss for the business in terms of time and money spent on recruitment.

There are several reasons why new hires decide to cut their time short:

• Expectations created that are unsettled from the time of recruitment.
• Lack of clarity about their roles.
• Autocratic management process.
• Limited opportunities for self-development.

Workbot- Powering the Future of Work!

Forrester Research mentioned that 87% of CEOs are looking to modernize their HR department using Artificial Intelligence bots.

Onboarding Workbot by Botspice engages employees and prepares them for their roles to the point of acceptance. Maintaining employee engagement from the critical first day and into the future as well.

Workbots can direct your HR team’s attention to more strategic and impactful work and ease the onboarding process of new employees and effectively automate 80% of the HR processes.

Reducing 50% reduction of the time spent responding to common HR questions.

Transforming HR department processes from a cost center operation to a money-spinner!!

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

Workbot’s can help employees:

· Learn about the Company’s policies, processes, and procedures.

Workbot’s help employees understand the company’s policies and can ask questions without depending on the HR team, simple tasks like knowing a process, joining a company activity can be done with the help of a Workbot.

Employee- “What is the company’s policy on parental leave?”

Workbot — “You can take 3–4 weeks of paid paternity leave”.

· Orientate and ease into their new job roles and responsibilities.

Orientation comes under the job responsibility of HR they guide the employee about the expectations and roles of their job. This however needs coordination with various departments for making sure onboarding is not just apt but also personalized. Such a process can be made easier for the onboarding employees with Workbot holding the new hire.

· Track the status of work attendance and vacation leave.

Workbot simplifies leave and attendance inquiries with an AI-powered chat interface enabling employees to request leaves and getting them approved instantly without having to navigate through a portal.

Employee- “Can I take two days off in May?”

Workbot- “Which dates are you looking at?”

· Identify skill gaps and seek upskilling opportunities.

Onboarding Workbot can make learning and training easier by instantly answering queries put up by the employees. These can be followed by quizzes and Multiple questions and answers to evaluate the employees’ learning capabilities. Workbot’s can also send the team updates and information regarding an upcoming learning course offered by the company.

Employee- “Can I register for a course?”

Workbot- “Sure what courses are you looking for”

· Understand employee benefits and welfare.

Workbot allows employees to manage their insurance claims quickly and efficiently and help employees understand the benefits the company offers.

Employee- “What does my corporate insurance plan include?”

Workbot- “Your current Health insurance provides a fixed sum insured amount that covers the cost of hospitalization in the event of an illness or accident. The hospitalization should be for more than 24 hours.”

Why Botspice?

A Workbot with Artificial Intelligence is the best solution to add value to employee experience while reducing operational costs.

With Botspice you can easily create your AI-powered conversational HR Workbot with a no-code platform that is easy to implement across multiple channels. A Workbot that can be trusted and answers concurrent questions through personalized cerebral conversations is what you need to change your company’s onboarding game!

Build a Workbot for Onboarding today!

Visit, www.botspice.com

Don’t forget to give us your 👏 !

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ONBOARDING WORKBOT- SHORTEN TIME TAKEN TO ANSWER EMPLOYEE QUERIES BY 50% was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Do you know what irritates the customers when they visit their nearest banks? It’s their poor customer service. Clients want their queries to get resolved soon, but long response time and lack of free operators make them switch from one bank to another. If you want your customers to stick with you, you must ensure that you provide them excellent customer service. One way banks can deliver exceptional customer service to their clients is through chatbots.

Chatbots are known for boosting customer experience and, at the same time, helps bank staff in automating their routine work so they can focus on other important work. With this, they attract more new customers. It’s all because now chatbots have emerged more mature and secure. Before, chatbots only deal with customers’ predefined questions. But, now, advancement in Artificial Intelligence technology has transformed these bots into digital assistants.

To aid our readers more in this regard, let’s dive into this article and dig out more about how chatbots are useful in the banking industry. But, before that, let’s first discuss the role of chatbots in the banking sector.

Role of Chatbots in the Banking Sector

The following mentioned below are some of the most significant roles of chatbots in the banking sector:

• Cost-Effective: Chatbots are a one-time investment, and that cost is less than hiring a digital assistant in person. Like other separate apps, chatbots need less coding, which means low cost and is also supported by a wide range of platforms.
• 24/7 Support Center: The 24/7 support feature of the chatbots attracts the customers the most. All those banks that support this feature can hold their customers for a more extended time.
• Provide Suggestions on Financial Matters: Some banks are now using advanced bots to access customer data. These bots track how much the customer spends, manages their budget, and sets spending limits. Such bots also offer recommendations for money management. Isn’t it great?
• User-Friendly: Compared to other traditional apps, chatbots are user-friendly, easy to use, and offer a personalized user experience. There’s no download process while using chatbots. All this is because of AI and ML technology.

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

Five Effective Uses of Chatbots in the Banking Sector

With the progress in AI technology and the conversational approach, chatbots can now communicate with customers. Like any other sector, there are several practical uses of chatbots in the banking sector as well. Here, mentioned below are some of them. Let’s discuss them one by one.

Chatbots Supports Essential Banking Activities

The advanced chatbot helps the customers manage the necessary banking activities such as EMI installments and collect the loan payments within the chat window. This function is the most effective use of chatbots in the banking sector. Your clients appreciate you for having someone who deals with all such work and is present around the clock at any time. Moreover, chatbots allow customers to make transactions, pay an invoice, and even apply for a loan by communicating with a bot.

Chatbots are known to handle transactional activities, and they securely do this job. They don’t make any errors while making transactions. Isn’t it great? You should take care to test your chatbot solutions before you make them live to avoid any further inconvenience.

Personalized Banking

Gone when customers visit the bank and the first thing that annoys them the most was waiting in long queues and personalization. For this reason, many of them switch from one bank to the other. But, with the arrival of chatbots, there’s much ease in bank employees’ and customers’ lives.

Chatbots offer a personalized banking experience to their customers. The customers don’t have to visit the banks quite often to inquire about their account balance, update their credit card details, know about the latest schemes, and get the monthly statement. Chatbots do all these tasks. It saves much time and leads to a higher customer experience level and more business productivity.

The bank statements and credit card bills have a PIN code, which only you know, and you can access the main document after entering the main document. Banks take this initiative because of the increasing threat landscape and prevent different kinds of cybercrimes and social engineering techniques like phishing. Thus, it is the customer’s responsibility to set a complicated password to break by any malicious agent. For a more secure browsing experience, while they use their banking services, users can use a VPN service that makes them anonymous over the web and encrypts their data traffic.

Chatbots Improves Customers Onboarding Process

Banking chatbots also help customers in filling out application forms for different purposes. Be honest, and answer. Don’t customers get frustrated when they witness that the entire application form process is time-consuming? Of course, it is. Many customers often complain about this to the bank manager, but all in vain.

But, with AI chatbots, this problem can get fixed. The AI-based chatbots offer help in requesting the customers for the needed documents and images at the time of form filling. The customer onboarding process brings new opportunities for businesses to enroll in more new customers. While this process through chatbots results in higher usage rates, which is a plus point for the banking sector.

Measuring Customer Satisfaction

Nowadays, the majority of people use mobile banking apps. No doubt, these apps have their worth and are also in need of time. The biggest drawback of these apps is that it’s impossible to get customers’ feedback about your service. Users usually open the apps when they need them and close them once the work is finished. You can’t figure out your services, and either they need improvement or customers are satisfied with them or not.

But, with chatbots, there comes a solution as well. Chatbots offer specific tools that ask the customers for rating their services. The AI chatbots by asking questions like; was this conversation helpful for you? identifies the users’ behavior patterns. They gather massive user data about their moods, preferences, and behavioral patterns. In this way, banks get a chance to improve their services and introduce new ones if needed. Their main aim is to provide users a more personalized approach that leads to more conversion rates.

Improves Customer Service

For customers to stay loyal to your brands, it’s essential to take care of customer needs and demands. Both business growth and customer relationships go hand in hand. At times, customers do face issues about fixed deposits or transactions. In such a situation, all they need is a quick response. Before, it wasn’t possible, but with the emergence of chatbots, customers now receive satisfactory responses to their problems that, in a nutshell, are proof of improved customer service.

As mentioned above, the most significant chatbots feature is that they are available 24/7 to provide solutions. It’s most welcoming from customers’ perception as well. Suppose a customer has lost their credit/debit card, and he needs to block it urgently. They don’t have to wait to visit the bank for this. The AI-powered chatbots provide them quick help in this matter.

Final Thoughts

To sum up, most organizations think that deploying chatbots risk their employees’ jobs. This is a big misconception. Chatbots are there to assist the employees. They automate most of their routine tasks and allow them to focus on other vital tasks. This not just saves much time but also brings more business opportunities.

The banking sector is now shifting more towards the adoption of chatbots. There are several benefits of having chatbots in the banking sector. Chatbots engage clients, save their time, and improve the customer experience. Moreover, they’re available whenever you need them. They have come out as a versatile tool that is improving the banking sector in many ways.

Don’t forget to give us your 👏 !

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How Are Chatbots Effective in the Banking Sector? was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Chatbots for Learning: Ways to Gamify Your Chat-Based Learning Environment 

Chatbots have been steadily gaining attention for their cost- and time-saving benefits in customer service and sales support roles. With the correct application of chatbots, businesses are able to automate repetitive tasks and optimise their operational processes, while simultaneously creating a positive customer experience.

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5 Best Resources for learning NLP — Natural Language Processing

“You don’t understand anything until you learn it more than one way.” — Marvin Minsky

Natural language processing provides ability to the machines to understand and interpret human language. This is one of the subdomains in Artificial Intelligence.

The power of natural language processing has changed the way we interact with the devices around us. It has let us interact, search, order a machine the language humans use in day to day life. NLP has applications in almost every domain Medical, E-Commerce, Defence etc., The widespread adoption of this technology has lead to rapid development in the recent times.

In this article, I will list out 5 major resources to get started with NLP.

Before we begin, There are some pre-requisites in order to understand the following materials.

• Python
• Calculus, Linear Algebra, Basic Probability and Statistics
• Foundations of Machine learning

1. Stanford CS224N

The first and foremost resource would be the lectures by Stanford. This course starts with the basics, word embeddings. Neural networks, Backpropogation, Dependency parsing, Language models, RNN, seq to seq, Attention, Transformers. It is a perfect resource to get started as it gives strong foundations about all the topics.

Course Link: https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1194/

2. Deeplearning.ai NLP Specialization on Coursera

This course focuses more on application based learning. Various tasks like sentiment analysis, Question Answering, Translation, Summarization, Chatbots are covered. This is a more structured specialization. The specialization is divided into four courses. Specialization requires you to subscribe. But if you take the courses separately you can audit the courses and access the contents.

Following is the list of four courses

Course 1: Natural Language Processing with Classification and Vector

Course 2: Natural Language Processing with Probabilistic Models

Course 3: Natural Language Processing with Sequence Models

Course 4: Natural Language Processing with Attention Models

3. Dive into Deep learning

Dive into Deep learning is a Deep learning Textbook. It has end to end concepts about Deep learning and a specialized section for Natural Language Processing. Chapter 14 and Chapter 15 cover the NLP Topics from basics to advanced.

Most impressive thing which I liked about this resource is that the code snippet is provided in three frameworks Tensorflow, pytorch and MXnet. This helps a lot when you want to understand the implementation in any of the frameworks.

Textbook link: http://d2l.ai/

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

4. Blog posts by Jay Alammar

Jay Alammar has written very expressive blogs about various concepts about Machine learning and Natural Language processing. The Illustrate Transformer is the best resource to understand the Transformers Architecture. There are various well illustrated blogs on Word2Vec, BERT, GPT2, GPT3.

• Jay Alammar
• Jay Alammar

5. Natural Language Processing Fundamentals — Datacamp

This resource is best for learning the concepts by coding, rather than just going through the materials. Regular expressions, NER are the highlights of this fundamental course along with interactive coding IDE.

Course Link: https://www.datacamp.com/courses/natural-language-processing-fundamentals-in-python

Having the right resources to learn at the beginning is very important. Since, many a times we end up spending a lot of time sticking to a single resource and then giving up without completing it.

Proper resources motivate you to learn more

I hope you will find the resources handy when you are getting started or looking to learn a new concept in NLP.

Don’t forget to give us your 👏 !

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5 Best Resources for learning NLP — Natural Language Processing was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Putting Text on Image Using Python — Part I

Computer graphics teaches us how a pixel on a screen can be manipulated to draw beautiful shapes, artistic typography, eye-catching illustrations, ‘make-me-look-good ‘ photo-filters, and a lot more. Hardware manufacturers, researchers, software developers work together to build great products: smartphones, smartwatches, smart TVs, cameras all with the study of computer graphics.

Despite the fact that computer graphics has evolved so fast and the development of software like Adobe Photoshop, Adobe Illustrator, Sketch has made our lives easier to a great extent, we still cannot generate images on-the-fly with them. In order to do that, we’ll need to reach a level where there is no drag and drop, no fancy select-all-make-bold keyboard shortcuts, no cropping, and no copying-pasting.

And we cannot get there by time-travel, but surely with code!

Getting Started

Come along, open your favorite text editor, follow me and I’ll help you draw dynamic text data on images. I assume you have Python and pip installed on your computer, but if not, follow the steps in the links to set up the development environment. After you’ve done setting up, from the shell, execute the below command to install Pillow(more details here)and its dependencies.

As you now have installed all dependencies, let’s move forward and write some code. Pillow is an extensive library, but for our purpose, we’ll be using the following classes:

• Image: to create an image object for our greeting background
• ImageDraw: creates a drawing context
• ImageFont: font of the text we will be drawing on the greeting

Let’s take the following background image and initialize it with the following code:

Code:

# import required classes

from PIL import Image , ImageDraw , ImageFont

# create Image object with the input image

image = Image . open ( ‘background.png’ )

# initialise the drawing context with

# the image object as background

draw = ImageDraw . Draw ( image )

For creating ImageFont objects we also need font(ttf, otf) files. You can use any font of your choice, here I’ll be using the Roboto font which can be downloaded from the Google Fonts GitHub repo .

# create font object with the font file and specify

# starting position of the message

message = “Happy Birthday!”

color = ‘rgb(0, 0, 0)’ # black color

# draw the message on the background

color = ‘rgb(255, 255, 255)’ # white color

image . save ( ‘greeting_card.png’ )

With some fonts, you might have to pass an optional parameter encoding which tells the ImageFont module which encoding to use while opening the font file.

Computer graphics have an inverted coordinate system, the here represents the distance of the text box from the left origin(0, 0) that lies at the top-left corner of the image. x(x=0) and y represents the distance from the top (y=0).

While you save the image, you can pass optional parameters like optimizeand quality to control the size of the output image.

image.save(‘optimized.png’, optimize=True, quality=20)

This generates an output image optimized.png with reduced quality but smaller size.

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

Where Are We Using Pillow With Python?

While at work, I recently developed a feature that demanded the creation of a leaderboard image on-the-fly, with user-specific quiz score data. And just with a few lines of code, I was able to create an image like this:

Haptik Weekly Quiz Leaderboard

Voila! It looked great and we decided to use the idea of creating images on-the-go, for other use-cases as well. We currently use Pillow to generate images for Jokes, Motivational Quotes, Horoscopes, Word of the Day etc. in real time, and with data from different API responses.

Haptik Motivational Quote & Word of the Day

The code we used in this post is not sufficient to draw text boxes as shown in the images above. I’ll be writing another post that will focus on text alignment, splitting long text into multiple lines, controlling space between two lines, and more.

Please do give us your feedback if any in the comments section below. Haptik is hiring. Do visit our careers section or get in touch with us at hello@haptik.ai.

Want to develop an Intelligent Virtual Assistant solution for your brand?

GET IN TOUCH

Don’t forget to give us your 👏 !

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Putting Text on Image Using Python — Part I was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

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