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The Top 5 Industry Use Cases for Conversational AI | by Ruhani Rabin | Jul, 2021

The Top 5 Industry Use Cases for Conversational AI Featured Image

Artificial Intelligence (AI) is one of the most pervasive technologies in use today. With the human language being the medium to how we communicate, it is no surprise that Conversational AI (CAI) is becoming the most prominent frontier of this technology. Many businesses are enlisting the help of this technology to stay competitive.

According to Markets and Markets, the expected global Conversational AI market size is set to grow from USD 4.8 billion in 2020 to USD 13.9 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 21.9%.

Therefore, companies, industry leaders, and employees need to understand precisely what Conversational AI is, why it’s essential, and the many use cases of this AI application disrupting Healthcare, IoT Devices, Retail, HR, and Finance and Banking Industry.

What is Conversational AI?

Other technologies like speech recognition, sentiment analysis, and dialogue management are also used to provide Conversational AI with the ability to respond accordingly. To do so successfully, Conversational AI needs input data that humans curate to learn from how we communicate and understand one another naturally.

Conversational AI is seen as a successor to chatbots, one of AI’s first applications. While chatbots strictly follow a script, Conversational AI allows for a more contextualized conversation. The application of Conversational AI is far more complicated and nuanced than chatbots simply because of its ability to understand language on a deeper level.

1. How Conversational AI can Automate Customer Service

2. Automated vs Live Chats: What will the Future of Customer Service Look Like?

3. Chatbots As Medical Assistants In COVID-19 Pandemic

4. Chatbot Vs. Intelligent Virtual Assistant — What’s the difference & Why Care?

Why is Conversational AI important?

And with Chatbots, it’s not hard to see why. ACCORDING TO JUNIPER RESEARCH, Conversational AI solutions can scale, provide 24/7 service and asynchronous conversations, and are forecasted to have operational cost savings in industries like banking of $7.3 billion globally by 2023.

However, it is not enough to have a chatbot on your site in 2021. Businesses need to have intelligent chatbots with natural language processing and understanding for the best customer support experience. In fact, with the emergence of Conversational AI, more and more people expect chatbots to understand them and assist them beyond what they can find on a FAQ. Conversational AI can deliver a customer experience equal to or better than a live chat when done correctly.

In addition, One cannot overlook the importance of the handshake between a bot and a website. A bot cannot replace or compete with a website: the best chatbot designs are ones where the site and bot work in tandem. The trend for Conversational AI bots is now increasingly beyond solutions for just reducing operation costs of call centers, but instead adding to the customer experience and providing better engagements.

Armed with the machine learning technologies, it is not surprising that Conversational AI applications are behind many chatbots and devices that exist in the market today, proving to be a core component to social success.

What are the 5 Industry Use cases for Conversational AI?

1. Healthcare usage cases for Conversational AI

Use cases for Conversational AI for the healthcare:

  • Medical scheduling: Conversational AI can streamline a patient’s medical appointment by providing them with general information about their next visit before they even arrive at the hospital. It can also handle the patient’s paperwork and help them schedule appointments.
  • CBT: Cognitive Behavioral Therapy is an effective way to treat mental health problems like anxiety. Conversational AI can provide a completely immersive CBT experience with the help of NLP and NLU.
  • Therapy: Conversational AI can help fill the gaps in care that mental health patients receive from human clinicians. Conversational AI can provide a 24/hour service, which means it can be provided for as long as necessary without needing breaks or days off. Additionally, bots have no judgment and won’t stigmatize patients when engaging in a conversation- something significant for mental health.
  • Mental Health: Bots like Replika, which are conversational chit-chat bots, can help with emotional counseling, providing a safe and private space for people to share their feelings. Conversational AI can also aid in therapy sessions themselves- such as assisting a therapist by taking notes or summarizing the session.
  • Medical assistant: Conversational AI can be a virtual assistant to support patients and their carers, helping them understand health-related topics. This tactic often helps reduce the stress levels associated with healthcare services by freeing up human medical assistants for more high-level work that is best left in their hands.
  • Data Collection: Conversational AI is also being used by pharmaceutical companies as a method for gathering user feedback on their products via surveys or focus groups — all without the need for an interviewer. This saves both time and money spent on hiring human data collectors while still collecting valuable information from consumers that can be analyzed using Conversational AI’s Natural Language Processing capabilities.

2. Internet of things (IoT) devices

Meadow F7 Micro

Many of these devices use unsupervised machine learning — meaning Conversational AI’s abilities are self-learned through trial and error in response to user input.

Some of the use cases for this industry include:

  • We are getting any devices to “dial” phone numbers and send messages on the user’s behalf.
  • Ordering food or grocery items through Conversational AI-enabled devices and apps like Amazon’s Alexa while simultaneously learning what the user likes to suggest better products that they may be interested in.
  • It is remotely actioning tasks such as turning on the lights or air conditioner.

3. Retail use cases for Conversational AI

Human Resources Industry Use Cases for Conversational AI

Through smarts like API integrations, other use cases for retailers with conversationally enabled applications include:

  • Customer Data Insights: Conversations with customers are recorded digitally, eliminating the need for humans to manually input every word spoken during an interaction or call center conversation. A simple data analysis into the type of search queries asked can provide businesses with further insights into their products and services.
  • Scalability and Multi-Channel Integrations: Conversational AI can scale conversations across different channels simultaneously (i.e., email to web assistance to Facebook) without human intervention. This provides increased opportunity for conversions and sales while at the same time reducing costs associated with traditional methods of communication that require human involvement, such as phone calls.
  • Better User Experience and Engagement: Conversational AI can be used in retail settings not just as one-off ‘conversations’ but as ongoing conversations. Maintaining context and holding data from previous conversations will translate to better customer experience, engagement, and conversion rates.
  • Inventory tracking: Conversational AI provides the ability to track inventory and offer availability to customers.

Through all these use cases, Conversational AI provides the foundation to excel in online retailing in 2021 — not only by providing the information that customers need immediately and 24/7 but gives businesses the data from their customers to provide better and more optimized products and services.

4. Human Resources

Human Resources Industry Use Cases for Conversational AI

The most common use cases for an HR bot are:

  • Onboarding: Conversational AI can be used to automate onboarding and orientation processes, including advising new employees with any necessary information they need about their work before they start work- such as where bathrooms are located. AI chatbots also have a user interface that is more intuitive than any HR staff member will ever have and can remember every conversation with an employee.
  • Documentation: AI can automate documentation processes, which means that HR staff will not constantly update their records. Conversational AI’s memory function also ensures all employees’ documents are up to date in real-time.
  • General staff advisory: Acting as a concierge service or a help desk, the use of Conversational AI extends to answering any questions, filling out leave applications for employees, and automated shift date and reminders.

5. Finance and Banking

Banking Assistant Industry Use Cases for Conversational AI

Conversational AI is currently making waves in the world of finance and banking, with use cases including:

  • It prevents fraud with automatic speech recognition, detecting any keywords or phrases that could signify fraudulent activity on the user’s account. Conversational AI also can detect any anomalies from normal behavior, which could be indicative of fraud.
  • Finance bots can process any transactions to provide you with an accurate picture of your finances. Conversational AI will help access and analyze data, such as trends in spending habits or bank accounts, to recommend how best to spend money.

The Bottom Line

Let’s take a look at how far AI has come. Enjoy the video below — it might change the way you think.

What It’s Like To be a Computer: An Interview with GPT-3

Now back to the topic. While it may seem that Conversational AI is an easy to implement, all-encompassing force to be reckoned with, it is worth noting that a chatbot is only as good as its solution and conversation design and the platform that facilitates it.

Ultimately, Conversational AI chatbots still need to be human-curated simply because humans understand how humans communicate best. While Conversational AI can never truly replace human-to-human conversations and interactions, it’s certainly getting close.

Originally posted at RuhaniRabin.com. Click here to subscribe now

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