Aurelie  Block

Aurelie Block


What Enterprises can expect from an AI Chatbot in 2020

As per Gartner, Thanks to technology, Artificial Intelligence (AI) will be used as a standard customer experience investment in the upcoming years. According to the reports, 47% and 40% of organizations are willing to handle customer care and deploy virtual assistants.

With the advent of Technology, Chatbots have entirely streamlined the interactions between the users & services. Nowadays, chatbots have become a necessary part of every organization. Bots have gained a lot of popularity & recognition as they help to communicate and ease the workup.

As per Oracle, 80% of organizations will use chatbots by 2020. As per Ubisent study, 35% of consumers want to see more companies using chatbots for a hassle-free communication and interaction, which is impressive considering the practice is still entirely new.

Several stores and brands are looking for alternative ways to keep pace with the current social distancing scenario and provide their products and services.

Industries are using artificial intelligence to help organize, improve, and streamline tasks such as creating custom experiences, personalized emails, offers, chatbots, and various other hyper-personalized experiences. In the past times, the focus of businesses has shifted from profit maximization to customer satisfaction, and rightly so.

In the coming future, Chatbots will completely change the way businesses perceive and communicate with their clients and prospects and help in customer service, customer retention, lead generation, customer engagement, and so on.

According to Oracle, 80% of business respondents will utilize or intended to use chatbots by 2020, and 85% of communications will happen through chatbots that offer various benefits such as 24*7 availability on internet service provider platforms as email, SMS, live chat, and apps.

#ai & machine learning #ai #chatbot

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What Enterprises can expect from an AI Chatbot in 2020
Erwin  Boyer

Erwin Boyer


How This AI-Enabled Chatbot Radically Transformed Cancer Care Amid Pandemic

The critical industry that has been massively impacted by the pandemic is the healthcare sector; however, AI’s involvement has helped the industry weather the pandemic storm. The AI applications by companies bring back patients’ lives from the edge and improve diagnostics and treatment and help healthcare providers make informed decisions quickly. One such application has been developed by Hospido, India’s first holistic cancer care platform with which cancer patients can get the right treatment advice from India’s best cancer doctors, without visiting hospitals amid pandemic.

The pandemic lockdown has forced many people, including cancer patients, to avoid hospitals and discontinue their treatment due to coronavirus risk. And this is what triggered Karan Chopra, the founder of Hospido to bring out quality healthcare to these cancer patients through telemedicine and satellite treatments centres for providing the right treatment at the right time. In this article, Analytics India Magazine, got in touch with him to understand how this startup revolutionised cancer carer amid pandemic.

#startups #ai chatbot #ai chatbot transformed cancer care #ai-enabled chatbot #chatbot #chatbot ai #chatbot for pandemic #chatbot india #chatbot transformed cancer care #hospido startup

Erwin  Boyer

Erwin Boyer


11 Of The Best Artificial Intelligence Enterprise Chatbots in 2021

Chatbots for businesses help them engage their website visitors and convert them into potential customers. The implementation of chatbots transforms the way businesses interact with their users. They can use a chatbot AI for sales, marketing, customer support, and automate many other business tasks.

The AI chatbots have revolutionized the customer service experience and enabled businesses to serve their customers in a better way. Chatbots, if created and used right, can help you take your business to all-new levels of success.

To make the best AI chatbot for your business, you need an efficient chatbot builder with various advanced features. In this post, we have listed different chatbot builders with their features, pros, and cons. Just go through the post and find the one that best fits your business needs.

chatbot for your business.

  1. Chatfuel
  2. Gupshup
  3. Appy Pie Chatbot
  4. ChatterOn
  5. MobileMonkey
  7. Imperson
  8. SnatchBot
  9. Botsify
  10. BotCore
  11. Pandorabots

#chatbots #chatbot-development #ai-chatbot #customer-support-chatbots #power-of-chatbots #enterprise-chatbots #use-cases-of-chatbots #what-is-a-chatbot

Erwin  Boyer

Erwin Boyer


AI Chatbots for Business: Why You Need One Now!

It’s said that Artificial Intelligence will be just as smart as humans by 2050. Experts like Ray Kurzweil have even predicted that we’ll achieve a technological singularity by 2045.

From that point on, it’s believed that AI will start inventing Nobel Prize-winning inventions every 5 minutes. Granted it’s gonna be out of our control, but hey, at least we’ll see a revolutionary breakthrough.

We may think that these claims are outlandish and ridiculous, but if someone were to tell me in the 70s that there will be self-driving cars in the future, I would’ve wanted to smoke whatever they were smoking.

But guess what, here we are in 2020, and Tesla already has their self-driving cars on the roads right now. And these were all recently developed technologies. Did you know that the first chatbot was actually launched in 1966?

Features of AI Chatbots

Why Do You Need an AI Chatbot?

Chatbots Across Various Industries

Wrapping Up

#ai-chatbot #what-is-a-chatbot #chatbot-online #chatbot #chatbot-website #facebook-chatbot #google-chatbot #best-chatbot

Exploring The World of Chatbots

What if I told you the 1st time people thought of machines replicating human conversations was almost 70 years ago!

And that’s when the Turing Test was developed. The Turing Test was the 1st of its kind, it asks the question “Can Machines Think?”. Alan Turing proposed The Imitation Game. Here an interrogator will talk to a person, X, and a machine, Y, through a series of written questions and determine if X is a person or a machine.

Even though the test has its flaws and saw a lot of criticism, the test is still in use today. Since then, this fascination of getting machines to answer our questions has only increased and today one facet of it is called “Chatbots”.

Chatbot Usage and Engagement Market Statistics

Recently, some updates were made to the International Data Corporation (IDC) Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide, which suggested that spending on cognitive and AI systems will reach $77.6 billion in 2022, that’s almost 3X the $24.0 billion forecast for 2018.

The largest and fastest-growing technology category goes to “Software”, in which around 40% of all cognitive/AI spending with a five-year CAGR of 43.1%. Cognitive/AI spending will be focussed on 2 areas:

  1. Conversational AI applications (e.g., personal assistants and chatbots) and
  2. Deep Learning and Machine Learning Applications

#chatbots #ai-chatbot #chatbot-design #enterprise-chatbots #chatbot #ai

Erwin  Boyer

Erwin Boyer


How To Measure the Success of a Conversational AI Chatbot

We should strive to make data analysis a part of the development process for chatbots to improve features as per the users’ needs, especially in healthcare.

Last year, when one of our healthcare partners (we refer to our clients as partners) were looking to build a conversational AI chatbot, I was apprehensive about guiding them. I had only worked on the level 2 (out of the 5 levels of conversational AI) type of bots. But this time our partner wanted to build a contextual/consultative AI-powered chatbot assistant.

I was concerned about how the bot would understand end-users’ problems. What features can we build to make it more humanistic? Would it be successful in replacing human care and compassion? Would it replicate the same emotions of empathy, compassion, and care?

And even if we managed to do everything, how would we know if the conversational AI chatbot is working the way we designed it? How would we define the ‘success’ of our initiative?

My apprehensions became real when I read a Forbes article about chatbots killing customer service with their clumsy conversations and limited learning capabilities. After reading the below paragraph, I realized the problem—

“The AI didn’t always get it, which was frustrating. Even more irritating—the company using the chatbot seemed to shrug the problem off. I detailed my own experience using Skyscanner’s chatbot, which often misunderstood my requests. Some of the companies I mentioned in the column appeared to shrug off my concerns.”

The problem is with organizations/management who choose to look away and see the importance of data analytics in chatbots for healthcare. They think that understanding the users’ behavior, what disappoints them, what makes them happy, is beyond the scope of their work. Because of this mindset, chatbots are still a lost cause.

Is there a solution in sight?

Yes, indeed there is. We’re at a very interesting place where we hold the future of chatbots in our hands. To make chatbots more welcoming and user-friendly, we not only need to make its software side—engineering, UX design, security—more robust. Rather, we should strive to make data analysis a part of the development process—i.e. we must constantly monitor chatbot’s effectiveness and improve features as per users’ needs.

#chatbots #ai in healthcare #conversational ai chatbot #chatbot analytics #chatbot analysis #how to measure the success of a conversational ai chatbot