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AI Voice Assistants: 9 Key Predictions For The Future Of Technology | by Master Of Code Global | Aug, 2021

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Voice Asistent

With nearly 1 in 4 U.S. adults already having a smart speaker in their home, voice assistants and conversational AI are quickly increasing in popularity in most major markets and becoming a normal part of people’s lives around the world.

Systems like Alexa and Google Home have created a new field of research in cognitive science that examines the effects of conversational devices interacting with users. The widespread availability and increasing adoption rates have also contributed to consumer behavior trends and purchasing patterns — from voice assistants becoming ubiquitous to people spending more on home improvement projects and the growing use of mobile devices as digital assistants.

In this article, we’ll take a deeper look at this field and explore 9 of the most important predictions for voice assistants and Conversational AI.

Due to these reasons, voice assistance is growing at a tremendous rate and it’s highly likely that nearly every app will be using AI-based voice technology in some capacity in the next five years. The emergence of voice assistants will also be helped by the fact that voice applications are becoming significantly more intuitive, responsive, and simpler to use in the future.


Personalized Experiences

Conversational AI and Customer-Centric Personalization

For example, Pillo health helps users stay on top of their medication — measuring when it should be taken, keeping it stored, and dispensing it at the right time. When a user adds a new medication to their Pillo account, the robot politely reminds them to take it regularly before the date they need to administer it.

Voice Push Notifications

Voice assistants are also designed to connect to third-party apps for voice push notifications, for instance, both Google and Alexa have this functionality, allowing them to notify users about everything from calendar appointment reminders to music streaming services.

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?

Search Behavior Will Shift

According to Juniper Research, consumers will spend $19 billion on voice-enabled products by 2022. If voice search models are successful enough, this will introduce a new advertising gate for brands that want to keep their messages prominent.

Inbuilt Security Features for Users

The Impact of Voice Assistants On Consumer Behavior

Once again, mega-corporations like Amazon and Google are taking charge here, having released updates that put security measures in place like speaker verification and ID confirmation.

To further resolve users’ privacy concerns, Amazon has published several more comprehensive documents about the Echo’s recording capabilities and how it preserves users’ data.

If you’re concerned about your data being recorded by your Echo (or lack thereof), Amazon added several significant new features to help ensure that personal information is never stored on the device.

Voice Assistance in Mobile Apps

Inbound Calls and Smart IVR with a Natural Language Understanding (NLU) Feature

Increased visibility into your leads and contacts will give you a brand-new approach to sales, allowing you to optimize efforts immediately — giving your business a competitive advantage and improving overall performance.

Natural Language Processing (NLU) for Conversational IVR

Conversational AI in Video Game Narratives

That said, generative neural networks are machine learning tools that are making this possible. Developers can create dynamic verbal dialogue for video games with far less manual labor.

As neural networks and artificial intelligence engines become more advanced, game designers can create NPCs with current voice-acting tools and use them to create a more immersive storyline. The next innovations in AI engines will allow bots to develop a custom personality based on player action, producing more realistic conversations. The NPC responds according to how the player has acted throughout the game. Considering that video games have become the biggest sector in the entertainment industry, it’s promising to see voice technology being a core part of its innovations.

Voice Cloning

Deep learning comes into play when it’s time to generate human-like speech and is particularly effective at capturing nuances such as speed and intonation.

Through the power of artificial intelligence, deep neural networks, and cloud-based GPUs, new startups can create a computerized voice that modifies your own and make it indistinguishable from the voice of a natural person. Voice cloning will certainly be one of the biggest drivers in the entertainment industry, very similar to early CGI. The realistic nature of voice cloning is already creating a buzz in Hollywood. To a lesser extent, voice cloning may see consumer uses, especially in privacy-focused online communities.

The Rise of Enterprise Voice and Chatbots

Worldwide Voice Assistants in Use (Units), 2019–2023

On the other hand, Amazon voice assistant continues to extend its lead over the competition by announcing its Alexa Skills and Alexa Capabilities. Amongst other new features, Amazon has given developers the tools to build their own Alexa skills (apps) — a unique feature that’s not available on any other device.

Some ideas for using Alexa skills include: improving the user experience, providing information, and improving productivity. For instance, a customer can experience a new product through Alexa’s customer-centric approach — with questions like “Alexa, how is this product made?”

  1. Language Input

Although voice recognition has advanced in leaps and bounds, AI still needs to continue improving — especially at recognizing minorities, as voice assistants today are disproportionately better at recognizing white male voices. Rather than a technological flaw, this is an indication of the lack of sample data that AI models can be trained against.

Additionally, inputs that are not appropriately processed can lead to frustration and a loss of customer trust across the board. To ensure a better experience, it is essential to develop AI that recognizes different dialects, accents, background noises, slang, and even nicknames.

2. Cybersecurity Concerns

The key to success with any conversational AI app is building trust and confidence among end-users. End-users can have high-security protocols, and despite recent advancements in privacy and security, privacy concerns are still present.

3. Apprehensive Users
One of the early expectations from voice assistants was that it would be the younger millennials and Gen Z accepting voice assistants the most. However, the older generations (ages 55 and above) seem to like the idea of voice assistants more than the younger generation. According to a survey by Think with Google, the adoption rates for voice-activated speakers are surging among baby boomers. Google found that 51% of Baby Boomers use voice assistants as an informative companion and not just as a tool to play music or make a quick shopping list.

Furthermore, as employees begin using voice-based automation in their workplace, they far likely to adopt the same technologies in their homes and personal lives. Therefore, It’s important to understand that customer hesitation doesn’t reflect poorly on your brand. Instead, it is an indication of the voice technology gap that is getting smaller every year.

Challenges of Voice Assistant Technology


Get in Touch with Our Conversation Design Experts for a Consultation Today!

However, if you’re unsure of how to proceed with developing and deploying voice assistants of your own, consulting with an expert like Master of Code Global is the best way to go.

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