Impact of Image and speech recognition, natural language dialogs, non-linear optimization, and real-time process control to moderate the future of AI and Voice Assistants!
AI potential is unbound and unseized. Various survey respondents including PwC, TechTrends, and Forbes have predicted that AI initiatives are expected to record growth in revenue and profits, customer experience and human decision making in the coming years. Business leaders expect AI to not only lower costs but also create new revenue in forthcoming years.
Implementing AI
Organizations need to make certain changes to their setups and workforce to accommodate AI-related changes, strategies for trust and data and converging AI with other technologies. Such plans might have far-reaching effects and if these plans are panned out successfully, many organizations will become AI-enhanced in the US – not just in pockets of the organization, but throughout their operations.
With machine learning, artificial intelligence, and deep learning being getting interwoven into daily lives in recent years, these have transformed several industries thus pushing ahead, building small blocks of value into a transformative whole.
Defining AI strategy, finding AI literate workers (engineers), training existing staff can be some sticking points with AI. And the answers to these questions often vary from one company to the next and the environment is continually evolving.
AI Work in Four Different Ways
Various ways in which AI work:
| Humans in Loop | No Humans in Loop | |
| Hardwired/Specific Systems | Assisted Intelligence
AI Systems that assist humans in making decisions. Examples are Hard-wired systems that do not learn from their interactions. |
Automation
Automation of manual and cognitive tasks that are either routine or non-routine. This does not involve new ways of doing things – automates existing tasks. |
| Adaptive Systems | Assisted Intelligence
AI systems that augment human decision making and continuously learn from their interactions with the human environment. |
Autonomous Intelligence
AI systems that can adapt to different situations and can act autonomously without assistance. |
Future Predictions for AI Implementation
Any technological breakthrough comes with a certain hype revolving around it. More businesses will launch initiatives involving AI in the coming years. Major predictions for the future of AI: (in no particular order)
- AI projects might fail due to a lack of focus on the aims and expectations of an AI initiative. Such projects are massive, expensive, trending towards plug and play, one size fits all, as service solutions or template approach to data science which may or may not be appropriate for every organization’s aims.
- The initiatives and projects are likely to succeed that is envisaged with a clear strategy from the start and have results tied to bottom-line KPI’s such as revenue growth and customer satisfaction scores.
In the context of the current blog, the way people interact will continue to shift towards the voice.
- Conversational interfaces will be more prominent in the same way as Echo and Alexa invaded through our homes when it comes to interacting with technology in a business environment.
- Voice-enabled interfaces are the most natural way of communication to existing point-and-click dashboards and systems. This as well helps structure any query in a matter of seconds.
- Computers are smart machines, which have adapted to human intelligence. This calls for less requirement to spend time learning their complicated mathematical language. Along with this, natural language generation and natural language processing algorithms have been tamed to better understand us and talk to us in the way we understand. We already have robots, working on similar mechanisms to converse within limited parameters just as we would with another human.
- Smart Voice assistants have changed searching and shopping experience online. As voice-enabled sensors create a hyper-personalized experience for users.
- Some of the companies that have become part of AI-based innovations: Yitu Technology, JD, MiningLamp, Megvii, Qihoo 360, PingAn, Tomorrow Advancing Life and Xiaomi.
- Research on the security risks of AI will be focused on five aspects:
- Algorithm security
- Data security
- Intellectual property rights
- Social employment
- Legal responsibility
People making use of voice-controlled technology have increased manifold in the USA including Apple’s Siri, Samsung’s Bixby, Google Assistant, and Microsoft Cortana, etc. There will be an evident increase in the expected use of voice assistants among all age groups with an obvious increase in the number of internet and smartphone users. Most people use it as it’s fun, the spoken language feels more natural than typing, it’s easier for children to use and lets people use the device without their hands.
Besides, Google Assistant, Amazon Alexa, Microsoft’s Cortana, and Apple’s Siri many innovative voice-controlled devices available these days in market include: Vocca Pro Light, Honeywell Thermostats, Haiku Home Ceiling Fans, Moto Hint, Anova Precision Cooker, Radar Pace, Netgear Arlo Pro, Jibo, Hiku, Nest, Whirlpool, Belkin WeMo Light Switch and Smart Plug, Toymail.co, GreenIQ Smart Garden Hub, Ooma Telo, Garageio, iRobot Roomba, etc.
Out of several benefits, voice-enabled AI-based devices help in automating regular tasks like vacuuming, unplug appliances from wall sockets, regulate temperature, switch off the microwave and guesstimate the perfect juicy-ness of your steak Voice assistants not only save time, they further improve the quality of life. It is easy to use, can be used across various devices, provide responses to commands and make people so various tasks, giving driving directions, making phone calls, text messages, checking the weather or playing music, adjusting AC temperature, Changing channels on television, increasing/lowering sound or brightness, setting alarms, telling jokes, flipping a coin, telling a story, voice-based search on search engine, booking travel tickets and even personal banking.
Image Source: https://bit.ly/33cTQB4
As the brands strive to expand voice interactions beyond transactional use cases to more conversational and complex engagements, designers (more than the developers) will be playing a critical role in making voice experiences as user-friendly and intuitive as the touchscreens these days.
Should voice technology assistants be human-like? Not necessarily
Many brands strive hard to design voice assistants/virtual assistants that can have a human-like conversation and make the customer care process as natural as possible. But the views are still split as most of the consumers prefer talking to robots and some don’t. Some robots often fail to understand what is being asked, might not recognize the voice at times.
This often calls for the need to have designers who follow unique approaches. For this, they often need to take a discerning look at the needs of the users. Brands need to prioritize creating voice assistants and experiences that are easy to use and intuitive. With this, the context of use that ultimately drives natural-feeling interactions and greater adoption and comfort with this emerging medium. e.g.: voice-powered refrigerators, microwaves probably don’t need to have human attributes but a conversational GPS that could be beneficial.
The World Artificial Intelligence Conference 2019 in Shanghai, described Artificial Intelligence with intelligent connectivity and infinite possibilities.
Major visionaries across the globe have converged into insightful discussions that have piqued everyone’s imagination on the future of the AI world. Examples of major tech innovations in AI assistants:
- Shanghai-based AI Unicorn Company – DeepBlue has created (1) a third-generation road-sweeper backed by 5G technology and (2) AI autonomous driving as well as a 5G bus named Panda.
- Chinese tech giant Tencent unveiled the debut of its self-developed intelligent inspection and manipulation robot that was equipped with 5G-enabled real-time remote robot teleoperation technology and AI algorithms. It can be helpful in hazardous industrial scenarios like chemical plants, mining firms.
Collective Agreement
AI can transform nearly everything about the business and markets. App development companies can bank upon this opportunity as it is one of the good reasons to take action. If done correctly developing an AI model for one specific task can enhance an existing process or solve a well-defined business problem, while simultaneously creating the potential to scale to other parts of the enterprise.
Voice interactions are transactional and straightforward and users will be using it for more complex activities like booking a medical appointment, requesting hotel amenities, grocery delivery, etc. Top AI companies can simplify such interactions by combining voice with the screen. Interactions can be improved if a voice interface is intentionally designed keeping first-hand knowledge of voice-enabled products to become experts on the UX of the apps.