Calls for a workplace meeting are often met with a level of murmuring and groaning rather than a “Heck yeah! Let’s do this!” While meetings often bring the best ideas to light, According to a study done by Verizon Conferencing, most heavy meeting goers have at one time or the other attended dysfunctional meetings.
Consequently, 90% of them admit to missing bits of the meeting or daydreaming when in a meeting due to flawed meeting behavior. At least 70% of them admit to bringing other tasks to these gatherings while 40% of them simply go off to the land of nod. Most meetings start very unsoundly, setting a wrong tone for the remainder of the event. Here’s the most right way to start a meeting:
Informing participants of the meeting’s purpose and outcome
Circulate your meeting’s agenda to all participants beforehand via Aira. Aira is an AI meeting assistant that makes meeting notes and shares them with all meeting members. She is an artificial intelligence technology powered tool that can share your meeting’s agenda and past minutes before and after the meeting.
At the beginning of a meeting, your participants have two major concerns in their minds. They will want to understand right off the bat why they are in attendance and why they should care about the meeting’s agenda. Most guides will tell you that the best way to start your meeting is by reviewing your agenda, then heading straight to the agenda’s topics.
This process has its benefits but it will not highlight the benefits of the meeting. It will also not bring to light the reasons why they should count the meeting as of any importance to them. To capture the member’s attention from the word go, and also set your conference up for success, give them the answers to these two questions first.
With Aira by your side, you should, therefore, start your meeting by informing the associates of the purpose and the outcome that they should expect. You can, for instance, start with words such as “At the end of this meeting, you will all walk away with…” You can alternatively kick off the meeting with a “the intention of this meeting is…” Such words will get everyone on the same page and ensure that your meeting is a success.
Empower the meeting participants
When it comes down to it, most employees do not know how to behave in a meeting. Some want to look less weird and normal while others are intimidated by the thought of conversing with the person sitting across the table.
There are also lots of silly rules out there that may hinder the participant’s ability to collaborate with others and to display their value. Meetings provide fantastic opportunities for workers to show leadership and problem-solving skills. You should, therefore, start the meeting by shattering the ceiling of unnecessary interpersonal dynamics and secret corporate etiquette.
Get rid of all veiled social rules and the pressure to perform that makes the members edgy and panicky. Empower the delegates and allow them to understand the power that they have in a meeting room. Give them the authority over their contributions by ensuring that they do understand the level of engagement expected from them.
Empowered partners will be open to discussions and participation. Start your meeting by voicing an empowering statement like” you are our select team, chosen to vet our marketing process because you have a deep understanding of our strengths and weaknesses”.
A study done by MIT research says that the collective intelligence of a team is determined by the equal participation capacity of its members.
Restate your meeting’s ground rules
Every business has as part of its cultures, directives that dictate how its meetings flow. Encouraging engagement is a great way to start a meeting, but you should state the boundaries as well. It is important however not to overdo the law setting at the commencement of your meeting.
You can incorporate this feature by picking one salient to the discourse at hand. As an illustration, you can ward off passive aggression by reinstating that all challenges should be addressed in the course of the meeting only and not before or after it. This will ensure more productivity and unity in collaboration.
If your powwow misses a strong start, its members will quickly get off track or zone out, so you must know the right way to start a meeting. If, you don’t want to chair a disorganized meeting avoid casting shadows by creating the wrong idea about your meeting. Begin your meeting with a positive note to foster efficiency. You can break the ice with a story, poignant quote, or interesting statistic then rope them further using one of the tactics above. Use meeting tools such as Aira to analyze your meeting data to ensure that optimization fosters high engagement.
Conversational artificial intelligence technology is still in its fledgling stage, but its business applications are mind-blowing. More than any other form of robotics, chatbots, a form of conversational AI have crossed the Uncanny Valley becoming more human-like than ever.
The Uncanny Valley is a mysterious region that nestles between the synthetic and natural in robotics design. Here, machines, which seem poised to supplant humans, become unappealing and unacceptable as per their level of humanness.
The phenomena coined by Masahiro Mori in 1970, hypothesizes that people develop an emotional sense of discomfort and unease when they encounter robots with an extreme mechanical composition. People prefer human likeness in robots. Watch out though; get too close to perfectly human, and the emotional uncanny valley phenomena steps in. Humans perceive such robots as eerie and discomfiting.
Applied Conversational AIs are comfortably human
The debate about Masahiro Mori’s hypothesis is still raging on, and pundits believe that the bridge across this sentimental rift is made of bots with features that are indistinguishable from humans. Conversational AIs from hobbyists and legacy businesses are building this bridge perfectly.
As an illustration, a few years ago, employees had to put down their names on a schedule on a conference room wall when reserving their places for a meeting. The internet era came by and made scheduling much easier with the digital calendar, allowing meeting members to automatically reserve their seats from the comfort of their desks. Collaboration also became easier across all meeting participants.
Today, with conversational AIs like Aira, you do not need to open any application to pre-engage yourself in a meeting. Virtual meeting assistants like Aira will give you a quick wake up and inquire about your availability for a meeting on a particular Thursday afternoon. The AI will search your company’s database for meeting procedures and processes and share them with employees that require the data.
This technology saves meeting preparation time and energy increasing productivity, collaboration, and smoothens the workflow. The meeting companion Aira for instance can intelligently join your online conferencing meetings, write meeting notes, and transcribe the meeting dialogue for future use.
She will highlight all your key points and share these notes with your meeting members. She integrates with customer relationship management platforms via Zapier and can supply the analytics of your meetings for optimization. The best applied conversational AI have traits such as;
Intelligent dialogue is a vital component for any AI and machine-learning platform purposing to stay clear of the Uncanny Valley. Research in dialogue and its patterns is central to the new generation of AI agents. The day’s conversational AI can carry conversations with its users across a wide range of topics.
They can chat with users just as well as people talk to each other and are therefore easy to use an enjoyable as well. Consequently, you can use them for more than song requests or scheduling appointments. They have engaging and coherent responses, can reason, and understand some nuances in conversations.
For this reason, conversational AIs have become crucial to customer experience improvement. Data shows that over 64% of businesses use them to offer personalized customer experience. Close to 70% of chatbot users report positive experiences and half of all millennials that have not encountered conversational AIs, are yearning to use them.
Genuinely conversational AIs are a big hit with this generation of customers because unlike emails, SMS texts, or calls, chatbots can provide instant gratification, a feature that most millennials crave for in customer service. They would rather ask Google or Alexa to read them a manual than asking service personnel for guidance over the phone.
Millennials love chatbots also because they can engage with them in the casual chat tones that they prefer. Consequently, over 83% of consumers say that chatbots are ‘very helpful’ and would make them their primary channels of contacting support.
It is therefore clear that in the future, the customer will seek the services of conversational AIs more than any other customer service process. Some of the notable weaknesses of open domain conversational AIs are their low aptitudes of consistency, empathy, specificity, understanding, and knowledgeability.
Consequently, there is a wide chasm between an intelligent conversation with a bot and a chatbot question answering service. The best AIs are humanlike in conversation understanding user intent and answering questions without ambiguity.
They can use machine-learning technology to learn more about the user and store the information learned for future personalization or context purposes. The best conversational AIs for multinationals are not only deeply conversational but also multi-lingual.
Have you ever wondered how chatbots work? Well, here is a compressed low-down on the history of the conversational AI and why the hybrid AI is the ideal conversational AI. The history of chatbot technology is decades old, with the 1950 Turing Test laying the first block laid towards the development of conversational AIs.
More than a decade later, ELIZA by MIT’s Joseph Weizenbaum came by, utilizing natural language processing features for speech capabilities. All that ELIZA had to do was substitute people’s words into scripts, and then feed the scripts back to people to hold a conversation.
One of the most outstanding chatbots of the past is Elbot, whose cheekiness, wit, and sarcasm in 2000 came to the fore via the use of artificial intelligence and natural language processing. Since then, conversational AIs like Mitsiku and IBM Watson has been born. Nonetheless, few of these chatbots have had more popularity than the hybrid Siri, Google Now, Alexa, Cortana, and Facebook Chatbots, that all came into the market in the last decade.
Conversational AIs in the past were either machine learning models or purely linguistic. Purely linguistic bots like ELIZA need human conversations to create speech, responses, and rules. Understanding human language is a complex task for machines because conversations have nuances and subtleties that are difficult to recreate artificially.
This is the reason why hybrid AIs utilizes artificial intelligence and machine as well to mimic human abilities. AI and machine learning conversational bots harness massive amounts of training data curated for their learning. A hybrid AI and linguistic bots use natural language processing, understanding, and generation to deliver not only personalized experiences but also apt pre-scripted responses.
These hybrid chatbots can utilize your back-end systems, data repositories, and third party databases to create responses. These AIs are therefore optimizable and will deliver the perfect personality and response as per your business’s objectives.
3. Cross-platform capability
The best conversational AIs should prioritize your business’s opportunities, goals, strategy, and vision. The AI should demonstrate value and minimize risk by working within your ecosystem. Data shows that by 2024, the conversational AI will redefine the user experience, becoming the new customer touchpoint in the place of the website.
The technology will operate over 50% of the customer touches augmenting it with speech, computer vision, augmented and virtual reality, and computer vision. These bots will infiltrate every aspect of day-to-day and business life. Consequently, these tools have to easily integrate with your existing business framework and any other future devices and technology.
By utilizing AIs that can integrate with your business systems, you will save your business the costs of adopting new systems for AI use. The technology in use should support all its users across devices seamlessly to increase user engagement and satisfaction. Intelligent meeting assistants like Aira for instance, integrate with customer relationship management platforms via Zapier.
4. Analytics and data ownership features
Do you know that by 2020, over 70% of all white collars employees will be in constant contact with a conversational AI? In two years, between 75% to 90% of all customer queries will be in the hands of customer service chatbots. Consequently, different business sectors like banking are utilizing chatbots like Widiba for customer service improvement.
Automotive businesses like Škoda, utilize Laura the AI to enhance the customer journey. The amount of data that these service bots can collect over time is unfathomable. The information that they collect is also invaluable for business.
The data collected by these bots can be analyzed for actionable business insights. Your conversational AI of choice should, therefore, offer data protection, ownership, and analytics as part of the package.
5. Enterprise-level AIs
Too often business purchase technology devoid of enterprise features. Most open-source conversational AIs rarely have the needs of business enterprises in mind. As an illustration, you will not find any user role management features or version control in non-enterprise chatbots.
There are no collaboration options or development and integration tools. Like Aira that has a robust system of service upgrades for productivity enhancement, choose AI tools that offer control and other robust business options, plus a proven success model.
Some other very useful traits of the best AI tools include personalization for recommendations and accuracy and control to prevent misuse or abuse of tools. Use conversational AIs also that offer brand differentiation features, to enhance visual brand personality and identity. The best AI tools utilize proven technology and have real-life applications.
Inefficient communication while dealing with a business can be quite inconveniencing. We have all at one point or another experienced it. Say you wanted to cancel or change an airline reservation for instance. You were likely put on hold for prolonged periods of time, switched from one agent to another, and had to start afresh with every new agent. You probably even ended up getting disconnected without a resolution. The thought of having to go through all that again is just dreadful.
This is just but one scenario is taken from a customer’s point of view. For a business, such examples represent missed opportunities in conversations as a result of inefficient communication methods. But all this can change with conversational intelligence. By mimicking human conversational capabilities, machines (bots or AI) can make a big difference in:
Your capacity to build relationships with your customers
Personalization of conversations, because AI is scalable and can handle multiple issues at a go.
Employee empowerment and their ability to be responsive and proactive. Conversational is a tool that can be instrumental in helping employees to be their best.
Be it in chat messaging, or voice, a lot of companies are already implementing conversational AI, with the significant operational and bottom-line gains.
What is Conversational Intelligence? Why is Conversational AI important?
Conversational AI involves the use of machine learning to mimic human communication in:
A machine can take voice content or text and using algorithms, attempt to decipher:
If natural language is used
The language used
Names of people or places
Inflection, such as in questions
Machines such as chatbots, gain this understanding based on repetitive training using varied data sets. Based on statistical patterns from that training, conversational AI can, at a future date, formulate speech like a human.
This involves a machine’s capacity to
Generate/ simulate natural language
Convert text to speech
Again, this process uses large amounts of data, from which machines learn human communication and its nuances. Some aspects of reproducing natural language can be simple. For instance, chatbot responses can be generated using templates but a task like generating analysis reports is difficult.
Converting text to speech involves the use of technology to generate audio messages. In other words, conversational AI can read text out loud in place of a human.
Other experts define AI as falling into 2 categories:
Conversational agents: which is basically AI that can have a conversation with users in a natural language .text to speech converters also fall on this category.
Conversational enhancements: which is A1 that Improves or enhances conversations between people. Such AI can, for instance, make email communication More efficient by suggesting appropriate responses or track changes to a document, etc.
Top 10 facts of conversational intelligence
Users and critics maintain that some conversational AI performs just as good, if not better than humans. As reliance on machine intelligence continues to grow, so will conversational AI. Below are 10 things you must know about the development of conversational AI:
1. People don’t mind handling business through chatbots
Reports show that people are okay dealing with chatbots as long as they get the answers they need.
When making a purchase decision, 29% of customers prefer to use chat to contact sellers when weighing a purchase decision. (Source: 7.ai)
27% of people would more readily use a chatbot than email. (Source: 7.ai)
37% of Americans say they can make chatbot assisted purchases even for items as high as $55 or more. according to Digitas.
2. Consumers expect a good experience when using chatbots
A good chatbot strategy is essential for customer retention. Over 73% of people would not transact with a company after a bad experience with a chatbot. (Martechtoday) Generally, people are more forgiving of human mistakes than they are tolerant of a frustrating chatbot experience. According to MindShare’s report, more than 60% of people would be frustrated after a bad experience with a chatbot.
3. Conversational intelligence can be a great marketing tool
37% percent of American consumers are open to receiving recommendations or advice from chatbots, according to Digitas. Breaking this down further, consumers are interested in recommendations for products from retail stores (22 percent); hotels/accommodations (20 percent); travel (18 percent); products from a pharmacy (12 percent); and fashion/style (9 percent).
Consumers of all ages are okay receiving product recommendations from brands they deal with. For instance, 48% of millennials say they don’t mind product recommendations on chat.
4. People are looking for an authentic and transparent chatbot experience
Consumers insist on knowing whether they are dealing with a human being or a machine. Some companies are already responding to this expectation by alerting consumers when they are being served by AI.
5. AI is enabling more communication on social media
Messaging apps rival social media in popularity.
By 2019, global users of messaging apps reached 2.5 billion. (emarketer)
In 2018, over 8 billion messages were exchanged on messenger (Venture Beat)
By 2020, it is predicted that 80% of businesses will make use of chatbots. (smallbizgenius)
6. Humans and robots may be indistinguishable by 2029
Ray Kurzweil, a goggle engineer predicts that by 2029, Language ability of chatbots will have evolved to human level. He said in an interview, “If you think you can have a meaningful conversation with a human, you’ll be able to have a meaningful conversation with an AI in 2029. But you’ll be able to have interesting conversations before that.” (Ray Kurzweil via The verge)
7. Conversational intelligence results in Cost Efficiency
Executing AI can result in cost efficiency across your whole organization.
Research shows that by 2022, use of conversational AI will result in cost savings of up to $8 billion per year.
Close to 30% of customer service jobs can be replaced by bots, resulting in lower cost of labor and operational expenditure. McKinsey
8. Speech to text services are becoming a critical part of respondents’ workflows
Speech to text serves many functions in the day to day lives of individuals and businesses. Some of these include:
Sorting through video or audio content
Availing content such as reports, or meeting minutes on demand
Below are some useful statistics on how speech to text affects workflow:
9. Text to speech conversion is also a way of fulfilling your customers’ content demands
The demand for content is ever-growing. One of the main challenges that companies face in meeting content demands is that they cannot come up with enough fresh content. But, what if, from your meetings, you could spark fresh ideas for content?
Take a CSR meeting for instance. Transcriptions from such a meeting can be shared with internal and external customers as needed. Another example is product meetings. If you are launching a new product, transcriptions of meeting minutes can become the basis for your press release.
10. Conversational intelligence has the capacity to improve team dynamics
Bots not only help individual teams to succeed, but they are also instrumental in tying teams together. what that means, according to Andy Payne of Cisco Emerge, is that AI can coordinate different meetings at once. Every meeting can be AI-led.
At a higher level, and as AI continues to advance, AI will and can:
Identify meeting overlaps
Check meetings by topic to avoid redundancy and wastage of effort or resources. This well also boost collaboration among teams with common interests
Identify employees’ strengths and skillsets
Find out which projects people are working on and the status of those projects
ALL these tasks can be accomplished by AI. When you have bots that are intelligent enough to understand overarching business goals and then suggest team pairings for those goals, then we can conclude that we are looking at a future in which we run very smart companies.
Conversational intelligence is a topic that has been awash with discussions. Not only is it exciting to think that a machine can talk, but from an economic viewpoint, the ROI of such an investment will be huge. When machines understand what people say and how they say it, then it becomes easier to redirect human capital to other tasks that can’t do without the human touch. At the same time, having bots introduces a more efficient way for customer handling.
With that said, great customer experience is dependent on having conversational Al that is advanced enough to deliver over and above beyond what a human can.
Businesses thrive on customers. No matter whether you are a start-up or a huge corporation, you need a solid customer base for your organization to breathe.
That makes customer acquisition an integral part of your marketing and sales blueprint. But while you attempt to win your customers, you should keep in mind that acquiring new customers is expensive. According to Entrepreneur, the average cost of your customer acquisition can go up to $315.
Naturally, you do not want to fail in this step that has the potential to make or break your company. So the bigger question here is, how can you triumph customer acquisition? How to tie them to your brand? Enter conversational intelligence software. Conversational intelligence software enables you to craft the most personalized brand-experience for your customers. It answers all of their queries about your product. It makes sure to give thorough assistance to them from the very start to the end of the sales funnel. But before understanding exactly how to harness its power, let’s have a quick look at what it is exactly?
What is a Conversational Intelligence Software Exactly?
Conversational intelligence software is an AI-powered software sales training tool that helps sales teams in organizations to optimize and improve their customer acquisition potentials. The most common form of conversational intelligence software is a chatbot or SMS-text-style messaging applications. So, now when you already know how powerful a conversational intelligence software can prove for your sales, let’s dive into the steps that can help you achieve it.
Top Benefits of a Conversational Intelligence Software
Here are the few top benefits that you stand to acquire from a successful launch of a conversational intelligence software:
Real-time support: A chatbot makes sure that your organization stands a chance to be the best servicing company in the world. It makes sure it takes care of your customer’s needs and problems right at the moment. Your customers now do not need to wait for the right time to solve their problems.
Personalized experience: Crafting more meaningful and impactful conversations that naturally build trust between your business and your customer, a chatbot makes sure that your customer’s every query is answered.
Contextual conversations: Any line of communication loses meaning without a reference point. A chatbot keeps track of all the conversations that your customer had before. It keeps the line of dialogue intact. So, the next time they arrive with their problem, the bot does not ask their names again. It will be acquainted with that data.
10 Steps To Adopting Conversational Intelligence In Your Business
Stage 1. Set Your Goals
The broader goal for your chatbot can be driving better sales and conversion rates. However, to optimize the broader goal, you need to create micro-level goals that will help you achieve the broader one. You may establish a chatbot with a variety of purposes in mind. It could be improving your brand’s online presence, providing users with a personalized experience, or automating specific repetitive tasks to save time. Whatever your goal with establishing the chatbot may be, you should end your goal-setting stage in one actionable step. Actionable step: Define your project goal statement.
Stage 2. Empathize With Your Customer The success of any product heavily relies upon the right understanding of your customer needs behaviors and expectations. Therefore, it is necessary to execute user research at a very initial phase of product development. Defining your ideal customer’s profile will give you deeper insights into your audience’s world, and what matters to them. This immediately enables your bot to create and curate more personalized and memorable brand-interaction experiences for every focus-group of your target audience. Actionable step: Create all your customer personas.
Stage 3. Competitor Analysis Studying your competitors can unbar unopened doors of data to your advantage. A close analysis of your competitor’s market, services, and selling propositions can make sure you stand stronger on your grounds of product building. It will make your unique selling proposition even stronger. Actionable step: Outline a summary of your competitor’s product and strategies of customer acquisition.
Stage 4. Potential Platform Assessment The most successful choice of your chatbot depends on two criteria: what your customer’s use, and the user-friendliness of the system. To optimize your chatbot system, you need to be present in more than one medium. Whether it is slack, or Facebook messenger, let your customer density decide that. Research the demographics, age, gender, location, and desirability of the systems they prefer to use. Actionable step: Choose more than one medium to launch your conversational intelligence software while still being relevant to your target audience.
Stage 5. Requirement Assessment With smaller focus groups concerning one problem at a time, using a framework to define user stories helps achieve goals faster. Actionable step: Document project requirements, according to the focus group, needs to launch the chatbot systems.
Stage 6. Prioritization is the key Prioritization is key to the success of chatbot. The sooner, the better. Make a list of the customer problems that you want to address right now and take action on it. Actionable step: List out the critical elements you require to launch a small project that addresses a few problems of a focus group in your audience.
Stage 7. Build your chatbot persona Remember, you must make all of your chatbot efforts human. Thus, if your brand style does not match your chatbot, it can hurt the overall brand experience of your customer. To achieve so, giving a name to the bot with a gravatar can add benefits to you. In fact, to make every communication flow look natural, putting down a script for the bot can be a huge advantage. Actionable step: Create a dialogue script for the bot to execute after the launch.
Stage 8. Design your bot’s conversation thread It is crucial to keep a check upon how your conversational intelligence software starts their introductory dialogues with your customers. The performance of the bot depends heavily upon how impactful you create the conversation. Open-ended questions can distort the whole experience of your customers. Diversifying the conversation thread can better simulate a natural conversation. But, to make sure you have a whole high-level grasp of it, your plan in this stage should be to create a conversation tree. Actionable step: Choose a conversation tree.
Stage 9. Integrate Technology The right technology will help you launch your bot faster and more seamlessly. Some of the software have NLP capabilities too. There are many options, Botsify, Motion.ai. Actionable step: Choose the technology that satisfies your goals the most.
Stage 10. Analytics It is one thing to launch a bot and entirely another to audit its performance. After you launch your first conversational intelligence software, it is time that you start assessing whether it is meeting your set goals or not. You can take tons of help from the tools available online like Botanalytics, Botlytics, Botmetrics. Actionable step: Make a list of success indicators to assess the performance of your chatbot launch.
Conversational intelligence software can prove to be very powerful in addressing your company’s sales goals and brand awareness with time. Heavily data-dependent, the system only improves with time. You can not only integrate chatbots but also textual SMS style smart apps to your systems.
Most enterprises use Conventional AI to build a reliable, engaging, and valuable customer relationship.
The edge cutting evolutional technology is actively gaining massive recognition in every industry since it presents most businesses with a vast potential for innovation and growth. The question is, how close is this invention to reality?
In this article, we shared some top trends of quality you and your team can watch out for in the year 2020 and beyond, with a reliable prediction, the technology has been one of the top rate inventions for a decade.
1. The gradual Advancement of Chatbots to most Conversational A.I. bots
The year 2020 is accompanied by remarkable transformations in the world of chatbots to the Conversant A.I. platforms. The usual engagement obtainable from chatbots is no longer fishable by most customers. Most Artificial intelligent conversation bot, when compared to most chatbots, is seen as a practical cognitive bot that can comprehend human sentiments and decode complex tasks.
The NLP abilities of the conversational A.I. create an enabling environment that supports a one-on-one conversation with your clients.
The NLP is built to understand and model human feelings. Most businesses out there gain satisfaction knowing that their clients are delighted.
The presence of an excellent promoter score makes the A.I. bot more reliable; to this effect, it is considered as a better option when compared to chatbots.
2. No-code and Low code Platforms
With the current conversation increase that has escalated from hundreds, thousands, and now in its millions has caused most establishments to look for suitable platforms to meet up with there ever-evolving conversational artificial intelligent needs.
Coding for this requirement can most times be very tedious.
No code/Low code platform appears to be suitable when addressing this issue. With a possible feature for different used cases, the platform can create their A.I. bots in a couple of seconds.
No-Code and Low Code platforms are created to enhance the effectiveness and agility of most businesses, and this has a strong potential for growth in the year 2020.
3. Digital Supporter for Business Enterprises
The world today has a simple rudiment that governs most employees of the twenty-first century; their strong affirmation for smart and quick outcomes, rather than conventional hard work.
Today, numerous activities limit performance in employees, and as a result, affect their level of productivity. Currently, they have a high demand for private assistants (Alexa) to carry out most of their works.
Mail searches, meeting management, task assignments, are some areas where most white-collar employees give in 30 -35% of their effort. The good news is, all of these listed activities can be performed using a virtual assistant.
Leena, Kora, Capacity, Adenin, AI, are some examples of virtual assistants that are dramatically changing the perspective of work in nearest future.
Most Conversation Artificial intelligent bots invented in the year 2020 are built with highly personalized designs and with remarkable inbuilt contextual conversations that create human touch.
For instance, the bots are built to comprehend and remember the context of Conversation, user preference, and past dialogs.
Amazingly, they are also built to transfer the context to different Conversations to have a full comprehension of what occurred in the past, and what will happen in the future.
With its humans que; the bot understands a change in mood and provides the right and suitable response.
5. A.R. in Conversational Artificial Intelligence
The augmented reality A.I. is a unique technology that deals with engagement level and height. The technology is relatively new for web and mobile apps.
And most users are not used to its mode of operation. Its operation depends on the performance of the user and the stage they are in your buying cycle.
For instance, you want to buy a table and intend to know how it will fit in a bedroom or living room; the use of this technology will yield a perfect result.
The inbuilt cognitive abilities of the Conversational A.I. platform can serve as an online concierge to help customers when carrying out a purchase.
6. SMS 2.0: the RCS Messaging
SMS Channels is one of the significant platforms for publishing Conversational A.I. bots. Today, the Conventional SMS channel has been replaced with a Rich Communication Service (RCS).
Google messenger is designed with contemporary messaging features like typing indicators, reading receipts, transferring content like PDFs, images, video, and many more.
The future experience of RCS will be pretty similar to that of we-chat, Whatsapp, or iMessage. This time the software will have to work with the network on your cell-phone and not the regular internet.
7. Solution Bots
Most enterprises that contemplate the application of bots need speedy investment returns. The Plug-and-play bots are intelligently designed and properly trained with fast performances.
Most chatbot players now provide prepackaged bot that has an inbuilt store data that is trained and tested with specific domain terms and technical vocabularies.
The bot, if optimized properly, can help customers manage and actualize a faster time experience in a market place.
The App Fatigue, Convergence of different Apps
Normally, a user can have 75 -80 apps on a smartphone. Each app has its own sets of unique functions. This can take the form of a travel app, banking app, utility app, informative apps, and many more.
On the other hand, when these apps are used continuously for pinging and buzzing, the chances are that battery and data will be consumed, which can often lead to disillusionment and fatigue.
In the year 2020, we see the conversational bot incorporating different apps and becoming multipurpose.
2020 is indeed a swap from the usual human abilities to conversational bots. However, there are businesses out there that are yet to make up their minds and embrace this change.
So the question here is, what’s your predictions on the conversational A.I. bot? And how do you intend to implement it in your organization this year and beyond? Feel free to live your comments in the comment box below.