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Top 10 Effective Tricks to Transform Your Normal Meetings Into Smart Meetings

smart meetings

Long before the onset of the ongoing global pandemic, dispersed teams were slowly becoming common in the workplace. The online meeting in the age of the pandemic is now a staple. Unfortunately, some of these virtual meetings are more unproductive than their traditional meeting counterparts.

Collaboration has a great advantage in the workplace, but it is not an easily achievable attribute amongst dispersed teams and their virtual meetings. The speedy chat by the water cooler has evolved into 30-minute video meeting on an online meeting platform.

Work hours have been lost to awkward video chats with data showing a massive increase in the use of virtual meeting tools such as Microsoft Teams and Zoom. By the end of March, Microsoft teams had accumulated over  2.7 billion minutes of use while Zoom downloads had blown up by 1330%

It is not unusual to have these gawky meetings go out of hand as familiar sounds of “your screen was frozen for a minute, kindly repeat your point” or “kindly turn on your mic” bring the meeting to a standstill.

Zoom fatigue has now become a new phenomenon, eating away at dispersed team’s sanity and ensuring the meeting productivity stays at an all-time low. Did you know that once distracted, the human brain requires 23 minutes to get its focus mojo back? This data point is a good explanation of why the 30-minute online meeting is often extremely unproductive. 


Why you need to have smart meetings

There are nevertheless many advantages to online meetings amongst dispersed teams. When workers in diverse locations, separated by time and space collaborate, they can develop products, services, and information faster, cheaply, and more efficiently.

By distributing employees, businesses become more agile in production and customer requests management. The virtual collaboration will also enhance key stakeholder involvement in a business’s decisions and work processes.

When smart meetings become a norm, both the employee and stakeholder will experience more satisfaction and an improvement in the quality of work.


Ten of the best tips on how to hold smart meetings

1. Have a meeting facilitator

AIRA

Most normal meetings are not collaborative because most professionals do not have basic meeting management information. In a physical meeting room, however, this shortcoming is surmountable. The meeting’s members will fumble, stumble, and will eventually make the meeting work.

An online meeting is less forgiving. When you have a variety of professionals in diverse time zones and geographies, a few hitches can throw the whole meeting into disarray. You can put an end to awkward silences and sudden bursts of speech with a meeting facilitator.

The facilitator will put an end to the free-for-all environment, ending discussions that hijack and that throw the agenda out of the window. The smart meeting facilitator will develop the meeting’s agenda and ensure that every member has an opportunity to contribute.

They will keep every participant from going off-topic and ensure that all meeting notes are taken, shared, and followed up after the meeting. Aira is a virtual meeting assistant that intelligently takes meeting notes and shares them with meeting participants.

She will turn your normal meetings into smart meetings via her state of the art machine learning and artificial intelligence technology. This virtual meeting assistant will join your online meetings, transcribe the meeting’s dialogue, and highlights the action points discussed.

With Aira at hand, your human facilitator can enjoy sharing and solving problems with other team members. They will not spend their meeting moments on minute writing tasks. Aira integrates with customer relationship management platforms via Zapier, to ensure easy access to meeting documents and analytics.

2. Use participant’s names

Participants

According to research done by Wil Schuz, when individuals gather to collaborate they need to feel in control. They also require openness and inclusion. These three needs can be naturally meet in a physical meeting but are harder to meet in a virtual meeting.

The need for inclusion for instance can be met by ensuring that all participants are called by their names. This smart meetings feature will cut down on the fear of being marginalized or ignored. Most online meeting members join meetings with the sneaky suspicion that no one recognizes or knows that they are present.

Use names to foster the feeling of inclusion. Online meeting tools like Zoom will display names automatically during meetings.

3. Poll the participants

Virtual meetings could have cross-cultural elements opening up a wide door for cultural challenges. There also virtual meetings that are held across international airwaves, bringing about language and time differences to the already challenging virtual meeting mix.

Virtual work also has many personal challenges. Humans assimilate 65% of communication via their eyes by translating a speaker’s body language. Non-verbal communication helps to foster a sense of team and trust.

Most online meetings kill most non-verbal communication cues, which encourages a breakdown in the interpretation of dialogue. You can meet the meeting member’s need for inclusion by polling the group. The meeting facilitator can ensure that they speak to each person in the virtual room and ask them whether they have ideas to share or whether they agree to the agreement at the table.

Since the virtual space lacks visual cues, the facilitator needs to cue in members when it is their time to speak. Polling every person in the room will increase the feeling of control and inclusion and cut down on boredom and dozing members.

Use smart tools such as Lean Coffee Table that allow members to vote and suggest on the ongoing discussions. The tool will enhance inclusion, and enhance feelings of influence, competency, and control.

4. Timebox your meetings

Most meetings are too long, a disastrous mistake when it comes to virtual meetings. You need to schedule a meeting time and use it accordingly. Do not extend your meeting time. Try whittling down the time until you have the perfect time schedule fit.

Timeboxing helps in dedicating blocks of time to a specific meeting agenda and topic. This practice keeps the meeting productive, meeting all goals laid. Use smart time management tools such as TickTick Premium to time box your meeting’s schedule.

5. Lay down meeting rules then optimize them

meeting rules

There are many conflicting online meeting facts out there. Some say that members should mute their microphones to reduce distraction. Others say that the use of video enhances concentration, preventing distractions such as selfies or multi-tasking. 

Rules are necessary for group management but you will not know how effective they are until you test them. Smart tools such as Google Forms or SurveyMonkey, can help you test, analyze, and optimize your meeting rules.

6. Use virtual whiteboards

You can create a common visual focus to increase participation. The visual documentation of ideas will increase participation and collaboration. Visual focus can be enhanced via screen projections or virtual whiteboards. WebEx has a smart whiteboard feature that allows its users to sketch their feelings or ideas on it.

7. Allow members to chat

Short online meetings have very little time to spare for adequate inclusion procedures. Tools such as GroupMe helps dispersed teams to chat among themselves on the go. It has a video, picture, and emoji feature as well as location sharing.

8. Have a technology guru at hand

Many businesses are grappling with the implementation of an effective virtual workplace. These companies are holding meetings without a plan in the hope that they will reap the benefits and opportunities of collaboration.

Unfortunately, all that they are gleaning are the pitfalls of unproductive meetings. The online meeting is very dependent on technology. Most employees on the other hand lack the technological know-how required to operate these virtual tools.

 Since few users understand how to make the best use of these tools, the technology will ‘go down’ when it is needed the most. It pays to have a technology guru to handle your distracting technology glitches and reduce delays.

9. Inspire joy!

inspire joy

There is never a dull meeting in smart meetings. Eliminate any boredom by marking events to enhance satisfaction amongst participants. Some businesses will for instance call for a virtual candle lighting session to inspire joy and contemplation.

Since online meetings do not have organic socialization, encourage non-work activity, and catch up sessions after the meeting. Let them introduce their babies or fur babies or sing Baby Shark. They can utilize GroupMe to enhance direct messaging and coordinate private chats across diverse device platforms.

10. Make the meeting proceedings actionable

Use tools such as Aira to share meeting notes afterward and to ensure that all deliberations are followed up on. Aira will share your meeting notes and transcriptions via email to all team members. You can also upload your meeting documents to Google Drive to enhance real-time document sharing and collaboration.


Conclusion

Smart meetings are productive and enjoyable and are a formidable part of a business’s growth strategy. Use these tips above to create smart meetings that enhance collaboration, productivity, and feelings of inclusion amongst members.

Why Machine Learning Algorithms and AI Are Imperative for Your Online Meetings

machine learning algorithms and ai

A few years before the COVID-19 epidemic, it had become clear that online meetings were the future of meetings. Pundits had observed that close to 50% of small businesses in the US were home-based.

There were predictions therefore that over half of the US workforce would be working remotely by 2020.

Technologists began to advocate for robust teleconferencing platforms to eliminate the then unpredictability of remote meetings.

They also encouraged innovators to preserve the face-to-face aspects of meetings to accommodate valuable eye contact and non-verbal cues features of meetings.

The online meeting tools that arose from this clarion call were wonky, hampered by a lack of innovation. The choice of meeting tools was few, with limited processing power.

The online meeting of the day was not as productive as it is today, where meetings can run on elegant, portable mobile screens.

Fortunately, today’s innovators have delved deep into advanced online meeting support platforms research. They have beautifully infused old technology with robust machine learning algorithms and ai technology.


What is Machine Learning Algorithms and AI?

Machine learning is an artificial intelligence learning process. It was born from the old school form of pattern learning, which emphasizes computer learning in the absence of certain programming aspects.

Machine learning exposes models to data allowing them to adapt to it independently. Machine learning algorithms enable computers to make repeatable decisions and reliable results.

Artificial intelligence, on the other hand, is a broad science that programs machines to mimic human faculties. Online meeting tools powered by machine learning algorithms and ai are powerful, reliable, and predictive. These tools have massive data saving and assimilation abilities.

The introduction of AI innovation in online meeting tools has led to the discovery of tools like AIRA. AIRA is an intelligent meeting companion that not only takes meeting notes, but transcribes them and shares them with all meeting participants.

She is an AI-powered tool that can automatically schedule your online meetings and dial into the meeting when it commences. Below are the reasons why tools like AIRA are imperative for online meetings.


1. Meeting scheduling

meeting scheduling

Ask any office assistant and they will tell you that meeting time management and scheduling are vital skills for a meeting’s success. The fact is, there are tons of scheduling tools out there, but most workers often have conflicting timings when meetings are scheduled. Why does this happen?

While the planning and scheduling bit seems deceptively simple, it is not easy to find a time and date that works perfectly for every meeting member.

A simple recommendation of a day or time can bring forth a mess of emails, asking for clarifications on time zones, week, month, or even year!

The person scheduling the meeting might not have ample time, to deal with all these communications while handling their core job and other life challenges. They therefore do not have time to spend in the search for the perfect and optimal meeting time for everyone involved.

Enter meeting personal assistants powered by AI. They will take on the scheduling bit of the meeting, contact every participant, and take into consideration the meeting’s schedule preferences. The AI tool will select the optimal meeting time for all participants and display it to all members.

The AI meeting assistance will also eliminate common scheduling problems like double booking, reschedules, cancellations, and reminders.


2. Time management

Meeting leaders not only face the challenge of updating every member’s calendar and sending email reminders but that of choosing meeting participants as well.

Besides, most employees prefer short meetings that also save on man-hour costs of long meetings. You however have to be careful to ensure that you have enough members at hand to cover the agenda.

The AI meeting assistant can help solve this dilemma by availing enough company data on the agenda at hand. The AI tool will give you access to external data sources and analytics from past meeting behavior and occurrences to help you chart your time management strategy.

The meeting bot will distribute all your meeting topics appropriately to help you cut out all delays, filler discussions and other time wasting occurrences. Good planning will improve the flow of the meeting and increase productivity.

The meetings bot will also help identify the ideal meeting members as per their relationship, role, or expertise.


3. Enhancing collaboration

The ideal online meeting should not be hampered by the usual physical limitations of data access. There should be abundant data at hand to keep all members well informed.

Physical meetings often have the challenge of data access, because a meeting leader cannot accurately anticipate all the information that a meeting will require.

AI tools can, therefore, cut down the frustration that limited data access brings to meetings. These tools can give access to all critical data, before, during, and after the meeting.

As an illustration, in a meeting where drawings and documents are shared on a weekly basis, all team members will need to access the updated version of the information before the meeting.

Since there are most likely dozens of versions of this data in your business’s computers, the AI can scrape through your servers and access the documents needed for the meeting, ensuring that they are up to date.

The bot can also share these latest versions of documents with all team members. When the meeting commences, the AI will also present the required videos, images, data charts, and web links as per the keyword or topic in discussion.


4. Accurate minute taking

Distractions are very costly to productivity. Studies show that once you are distracted from work activity, you will need close to 23 minutes to get back to your productive element.

There are therefore few things as frustrating as a motivated worker who is forced to lose their focus and has to face the uphill battle of concentrating once more on the matter at hand.

Unfortunately, this situation minute taking puts many minute writers in. Minutes are not a transcription of the discussion in place. They simply summarize any critical information as per the agenda.

This summary is later on typed and sent to all participants for collaboration and accountability purposes.

The challenge of minute taking is that the members do not always keep to the agenda. Side issues will creep in distracting the focus of the meeting.

The minute writer will often be caught between the various ongoing discussions, unable to accurately track all deliberations around the table. A meeting set up therefore strains a minute writer’s active listening skills.

In the process of separating key facts in long discussions, they will become very distracted and will most likely not make their contribution to the agenda. Visual meeting assistants like AIRA will take all meeting notes and transcribe every topic discussed during your meeting.

These AI tools have a voice to text features that can help all members scan back through all topics that have been discussed.

The meeting members can use these tools to highlight any questions that arise from the deliberations and table them to the chairperson without distracting the flow of the meeting.


5. Handling after the meeting procedures

Handling after the meeting procedures

After a meeting, the minute writer also has duties that take more of their work time. They have to ensure that the ideas arising from the meeting are kept in memory and put in action.

They have to ensure accountability and follow up by producing all the meeting minutes promptly. They should also distribute the minutes to all participants either physically or via email.

The meeting leader should also ensure that all documents pertaining to the meeting are archived together for use when they question arise in future meetings. The meeting leader also has to remind the meeting members of any uncompleted action items via phone calls or emails.

The AI meeting assistant tool will not only take up all these post-meeting tasks but will do so accurately. The online meetings tool will free the hands of your meeting leader so that they can focus on the meeting and offer their valuable contributions.

They will also ensure that the meeting leader is free to get back to their core work function after the meeting since the AI toll will handle all the above menial but critical tasks on their behalf.


Conclusion

That future is here, and a large number of meetings are now held online via various video platforms. In a couple of months, most office workers have now turned to remote working, handling meeting tools that they barely heard of before the pandemic.

How Various Machine Learning Models Make a Successful Web Conferencing Platform

machine learning models

Technology is increasingly making its presence felt in today’s business world. Mounting data volumes, availability of cheaper computational processing, and affordable data storage have led to increased interest in machine learning models in recent times.

More than ever before, it’s now possible to create models that can analyze complex data on a large scale while delivering quicker and more accurate results. With such models, organizations can spot profitable opportunities and avoid unknown risks.

With machine learning, organizations use algorithms to set up models that uncover connections and use these to make better decisions – even without human intervention. Most industries, particularly those that handle vast amounts of data have leveraged machine technology to increase efficiency and outdo their competition. Examples of such are in:

  • Financial services
  • Government
  • Health services
  • Retail
  • Transport services


Machine Learning in the Workplace

Machine Learning in the Workplace

In many organizations, communication and collaboration pose a great challenge. This brings in the need to integrate intelligent technology within workflows in a seamless process. Such technology enables teams to leverage their synergies and talents, enhance engagement, and speed up work processes.

This approach to workplace productivity uses artificial intelligence and machine learning in ways that make work-life more productive and profitable. Besides, the use of wireless technologies, high-bandwidth internet, and the cloud already make it possible to work in spaces other than the conventional meeting rooms.

With advances in both memory and processing power, apps and devices now hold higher levels of intelligence and help create communication and collaboration tools. As such, smart meeting rooms can now give workers access to different conferencing technologies that are key to improved business processes.


Types of Machine Learning Models

Types of Machine Learning Models

a) Supervised Learning

Given that machine learning predicts an output by using sample inputs, it’s referred to as supervised learning. An example of this is facial recognition whereby a dataset composed of images of meeting attendees helps to predict the names of future meeting attendees.

b) Unsupervised Learning

While supervised learning uses pre-existing data, unsupervised learning builds its knowledge base through observation of activities such as user behavior or anomaly detection.

c) Other Variations

This form of machine learning covers many categories but reinforcement learning is the most predominant. It features a decision-making policy that gets enhanced with time, based on the outcomes of decisions taken previously. In web conferencing, it can be used in the optimal framing of users in a video or in anticipating a user’s wish to start a meeting.


How Does Machine Learning Enhance Web Conferencing and Workflow?

Machine Learning Enhance Web Conferencing

Machine learning is a subset of Artificial intelligence. It relies on quality data, patterns, and inference and uses statistical models and algorithms to perform assigned tasks – usually performed by humans.

Online meetings can be tedious and often, one half doesn’t know the other half. At times, an attendee forgets to hit the mute button and lets out a big yawn. But, machine learning models bring a new dimension to virtual meeting experiences.

Web conferencing provides an ideal forum to discuss perspectives, exchange ideas, share documents, and provide solutions to problems. It also includes the use of video conferencing and screen share. Users can also hold virtual classes through webinars.

An unlimited number of people can participate in these forums. Video conferencing, for example, allows many meeting attendants to participate without losing relevance. Meeting members also get a fair share of attention – all without affecting the bandwidth.

The use of machine learning models assists in:

  • Creating an easy to implement working environment  – employees can join meetings at the touch of a button
  • Predicting the most ideal meeting location for teams based on previous data

  • Connecting scheduling apps to the most ideal meeting venues

  • Automatic prediction of the apps most likely used in meetings
  • Creating a better web meeting experience using automated artificial intelligence-based API syncing
  • Helping to make meetings much more intelligent and contextual


Benefits of Using Machine Learning Models in Web Conferencing

Benefits of Using Machine Learning Models

Web conferencing is quickly becoming integral to the modern workplace. Companies, both big and small are embracing more innovative, collaborative, economical, and productive ways of working.

Machine learning models help to provide:

1. Intelligent Meetings Tools

Close collaboration helps in creating strong and dynamic business relationships. This calls for effective meetings. Aira is an artificial Intelligence-based meeting software that:

  • Records all meetings proceedings and transcribes the recordings for you
  • Handles mundane but time-sucking tasks like calling all meeting participants before the meeting commences and adding people to video calls
  • Helps you keep track of all your meetings and notes
  • Helps you to identify meeting participants and usher them to the meeting room
  • Notes down all meeting records and then shares them out to all meeting participants
  • Enables you to optimize your processes by providing meeting analytics

Aira is the go-to meeting companion that helps you focus on solving bigger issues by taking care of menial meeting tasks like minute taking. Besides, the tool connects your meetings to your firm’s knowledge assets which helps to organize meeting notes and set meeting agendas.

2. An Efficient and Cost-effective Way of Hosting Your Meetings

Combining web conferencing with teleconferencing makes hosting a meeting both efficient and cost-effective. Web conferences are both visual and interactive and some allow you audio access via the internet.

A successful machine learning web conferencing solution needs to cover all your company needs. You also need to ensure that the technology is based on the right foundation. Modern conferencing technologies call for a robust, reliable, and highly secure communication infrastructure to help power web conferencing services.

3. Strict Privacy Regulations

While there was a recent public outcry over Zoom’s privacy and security settings ( which was later addressed), developers build responsible artificial intelligence tools for web conferencing. They also make sure that the tools meet the needs of different groups of people and protect private information.

Data privacy can be enhanced with the use of differential privacy techniques. Also, confidential computing can help to secure the organization’s machine learning assets while policies can be applied to maintain resource control and comply with regulatory standards.

4. Increased Employee Responsiveness

For businesses that leverage BYOD (bring your own device), employees show a notable improvement in responsiveness and decision-making. Such businesses can utilize machine learning-based models that offer video conferencing platforms to enable their users to attend video meetings on the go.

5. Replacing Cumbersome Workflows with Automated Chatbots

Managing cumbersome workflows is made easy by the use of virtual assistants for video conferencing. AI-powered chatbots can also intersect your email marketing and CRM for easy workflow follow-up after meetings.

6. Trust and Collaboration

A heightened sense of camaraderie, trust, and collaboration emerges when team members use machine learning meeting tools. An elevated meeting experience also increases engagement and helps participants to stay focused during the entire meeting. This is a big win for the business.

Machine learning models can also enhance your team’s collaboration experience and help build better and stronger relationships. With reduced meeting friction points, employees can strengthen their interactions and build high-performance teams.


What You Need For Successful Web Conferencing

Successful Web Conferencing

For successful web conferencing, your preferred meeting tool needs to offer the following capabilities:

1. Ease of Use

Your web conferencing technology ought to make this experience smooth and enjoyable. If the solution is hard to use, makes processes like setting up meetings or signing in participants tedious, holding meetings will always be a nightmare.

Go for technology that offers you great user experience, can work from any device, and one that requires no plug-ins or downloads. It should also be flexible and easy to integrate into your work processes.

2. High Security Levels

Does your meeting assistant protect your communication from unauthorized access? Ensure that your meeting solution features in-built multi-layer security. This will allow you to have an uncompromised user experience.

3. Multiple and Advanced Features

Is holding an audio call all you can do? How about screen sharing, video conferencing, or holding audience polls? Demand more from your solution provider and elevate your meetings with enhanced collaboration. Your participants will thank you and your meetings will be more engaged.

Furthermore, meeting participants should also be able to hold web conferences via their desktop, laptop, smartphone, or tablet. Multiple meeting features also help to solve many of the challenges you might face while communicating with peers.


Conclusion

It’s no secret that machine learning has a huge impact on business. More and more organizations are taking advantage of this technology to completely transform how their teams communicate.

As many dull administrative activities get handled by machine learning models, employees will have ample time and resources to leverage their collaborative efforts, intelligence, and creativity.

Machine Learning models are dynamic. They are continually evolving and improving. Increased technological advances in both computing and mobile ability will serve to make workplace communication and collaboration more effective and streamlined.

If you want your business to keep ahead, your teams to work smarter, and to have more productive meetings, integrate machine learning into your web conferencing. This is the future of meetings.

How AI Machine Learning Helps You to Have Progressive Online Meetings

ai machine learning helps online meetings

Innovations in Artificial intelligence (AI) technology have progressed so fast that it does boggle the mind, what the future holds. In a decade, we have intelligent computers that through neural learning technology can diagnose diseases, transcribe speech, or translate a language. Coupled with AI and machine learning, a computer’s smart capacity can modernize telecoms, financial, management, and healthcare industries.

The AI sector is the new frontier in industry and will be worth over $190 billion by 2025. This technology is critical to virtual assistant, predictions, surveillance, customer support, fraud detection, e-commerce, and social media applications. We use AI for image curation at Yelp and content discovery at Pinterest. Google’s neural matrix Deep Mind, powers amazing machine-learning aspects that include robust speech translation, natural language processing, prediction, and search ranking processes.

Twitter is dependent on bots for its curated timelines, while Facebook Messenger chatbots are taking the world of e-commerce by storm. Gartner estimates that by the end of this year, chatbots will manage over 85% of customer service needs. 


Why office meetings need AI tools support

One business sector that needs AI tools support is office meetings. Workers often associate meetings with time wastage, spending that time sending emails or dozing off. A study by Fortune shows that most employees will send at least three emails during a 30-minute long meeting! They complain that these conclaves are too long and unproductive. 

Most meeting chairpersons also do not prepare for meetings, wasting the participant’s time with an agenda-less gathering. Video chat meetings might be time-limited but they do have their complaints as well. Did you know that 43% of attendees on a conference call spend some of that time on social media? A large 65% of them will spend that time on other work related tasks.

Meetings seem to bring out the worst in workers! Participants of the ongoing global video meeting wave are up in arms over Zoom meetings. They have described them as extremely tiring. Why? Between freezing screens, and staring faces, focus during video calls is a challenge. Processing the tone, pitch, and non-verbal cues during a video call meeting is harder than it is in a traditional meeting setup.

Online meetings are shorter but their attendants have to dispense more energy studying the body language of their meeting partners, which drains them and creates a dissonance of conflicting emotions. Add minute writing to this painful set-up and the person in charge of minute taking will not have any opportunity to make valuable contributions or engage with other meeting attendants.


Reasons why artificial intelligence is an online meetings game changer

1. You can delegate some pre-meeting tasks to the AI meeting tool

AIRA

Meetings are essential to meeting business objectives and promoting positive company culture. They encourage teamwork, and every business owner should encourage mechanics that promote meetings, making them a source of productivity rather than a distraction. In the office set up, you can delegate your minute writing tasks to personal meeting assistants like AIRA.

AIRA will join web conferencing calls, record all the meetings proceedings, and transcribe all data on your behalf. She will keep track of all your online meetings and notes. Your favorite meeting companion will jolt down all meeting records, share them with all the meeting participants, and provide meeting analytics to help you optimize your processes. AI meeting tools can for instance;

  • Handle all the mundane but time-consuming tasks such as joining the online meetings, adding people to video calls, and calling all meeting participants prior to the meeting.
  • Identify meeting participants and usher them to the meeting room. With AI meeting bots at hand, you will have fewer online meetings where participants log in and hardly know half of the faces on their screens.
  • The AI tool will also connect your meetings to your company’s digital knowledge assets, to assist in the setting of an agenda as well as the organization of meeting notes. 


2. The AI tool will also make your meeting more productive

You probably have been in a meeting where one participant forgot to mute their microphone and every participant had to listen in to a transcription of their doctoral thesis. Some meetings also go on for too long as each person gets their stand-up moment to discuss business matters. Such talkfests often go beyond the 90-minute meeting mark. In a disorganized meeting, you will have a large number of presenters going off-track.

Meetings are often unproductive because its convener did not do their homework. Hopping people onto an online conference room, when you have not stated the meeting’s purpose is a recipe for disaster. There should be a detailed and thoughtful agenda that should encompass the subject of the meeting, the subject’s topics, and the people responsible for each topic discussion.

The leader should highlight the time allotment for each presenter, write down each question beforehand, and set down the meeting’s expectations. Knowing when and where to mute sound during online meetings is a grey and highly contentious area. It needs definitive guidance because workers are spending more time than ever before in remote work video meetings.

Consequently, you will have meetings where some participant disrupts the ongoings with a joke (which will be more annoying than funny) or there will be background noises from barking dogs, construction, or happy children.

Some of the attendants may also be interrupted and have to put the meeting on hold to go deal with real-life issues. Often they will do so, and leave the microphone on. According to Zapier, there might not be a need to mute microphones in a small meeting with five or fewer participants. Since video conferencing software can only show a few faces on the screen at the same time, you can only read essential non-verbal cues from the visible faces.

In the absence of these non-verbal cues, an attendant might be tempted to talk out of turn, especially when the video begins to lag. A larger online meetings need to have an automated system that mutes all other sources of sound and leaves the presenter’s sound on.

Can you imagine the cacophony of sounds that can arise from the microphones of 200 or more online meeting participant’s backgrounds? How can AI and machine learning tools fix these challenges and make your meetings distraction less and productive?

  • AI meeting assistants can automatically mute microphones of meeting members and only enable a presenter’s microphone. The AI tool can also perform selective muting by detecting noises such as barking dogs, keyboard tapping, then alerting, and requesting the offending party to mute their mic.
  • AI meeting assistants can also use facial recognition to put names to faces. This feature can be very useful in online meetings that have multiple participants in them, making identification easier.
  • The AI can also supply each participant’s designation, work history, and contact information to any member that requires it, to ensure that all members spend less time asking or digging for information during meetings.
  • These tools are also maturing and acquiring situational context knowledge. Consequently, they will automatically know about the agenda in question and make better and more accurate meeting notes than human minute writers can.
  • They will also table useful documentation such as financial projections or analyst reports at a moment’s notice. AI tools will also supply past meeting notes, deliberations, conclusions, and action points to ensure that your meeting runs smoothly.
  • Since intelligent bots will be taking notes and transcribing all discussions on your behalf, you will have more time on your hands to focus on the meeting and to share your brilliant ideas with the rest of the team.
  • Voice interaction with an AI tool will free your mind and hands, making the tiresome video conferencing sessions less of a hassle. An AI assistant like AIRA will become part of your work team reliving you of mundane and routine team chores and making your meetings better and enhance growth.


3. Handling after-meeting chores

Your artificial intelligence and machine learning meeting tool of choice will automatically gather information on your behalf ensuring that all meeting members stay focused during the meeting. The tools will do away with haphazardly done or hand-scrawled notes. Some of their after-meeting benefits include;

  • Sharing meeting transcripts to all members that highlight all action points
  • Fostering camaraderie, trust, and collaboration, by enabling the sharing of a meme or two, business files, and meeting records.


Conclusion

AI machine learning helps online meetings to be more productive and more efficient in delivering positive results. AI machine learning technology benefits for personal and office use are endless. Virtual personal assistants like Alexa or Google Now can set up your schedule and remind you of items on it on time. Siri is a fantastic personal assistant and is particularly useful during travel.

She can check the weather, your flight information, find your lost luggage, and grab that great parking spot for you. AI meeting assistants like AIRA or Hendrix will also bring your office workers closer allowing focused interactions that enhance productivity during meetings.

How Machine Learning Will Change Business Communication In 2020

Machine Learning and Business Communication

The world today has about 50% – 60% of its activities carried out by artificial intelligence. So does machine learning; it is one of the fastest-growing and dominating factors around the globe.

There are endless benefits to anticipate when it comes to the adaptation of this technology for business growth. For the past two decades, there has been a rapid change in business communication. And all credit goes to the rise of the internet. Telephone networks are not propagated via wire network. Instead, we are presented with the opportunity of operating our VoIP system from different IP addresses, which has provided us with the needed flexibility for devices and workers. Our landscape is transformed by machine learning.
 
We provide you with some significant trends you can center your attention on, in this article. As you get to read along, you will discover more about how machine learning is changing today’s business communication.


Machine learning. What does it mean?

One of the subsets of artificial intelligence is machine learning, as we all know that AI technology is built upon a set of computer algorithms that are meant for quick statistics processing. With the use of AI, we stand the chance of performing multiple tasks or a single task repeatedly. Thus, the name ‘Intelligent’ since it creates room for performing a complex task within the shortest time frame. On the other hand, machine learning provides a program that can be carried out with a model. The program carries out data processing from its beginning to end. The process of machine learning is grouped into three; these are:

  • The supervised machine learning: this time, a known set of data is taken to respond to a given task or queries.
  • The unsupervised machine learning: this program locates a new pattern and automatically create a model with supervision.
  • The reinforcement learning: through the use of multiple trials, algorithms carry out specific decisions.

Machine learning has a real-world application. It empowers the pattern Google uses for analyses, search results and create the unique input of self-driving cars and many more effects. Machine language has a lengthy application in our real-world situations. And the telecommunication sector has no viable difference to this too. It’s built to use virtual assistants, and is primarily used for VoIP,


The vision Microsoft has for artificial intelligent communications

When it comes to unified communications, Microsoft remains the leading industry. For instance, what a Graph can do for a team, is to locate an individual via their name and going beyond a simple search match phrase. A graph can carry out the right calculation of the name of the person and how far your interaction is with them.

 
Graphs are always a step further. And if you’re not familiar with a name but need someone who is specialized in ‘chatbots’ Graph can rightly estimate who is competent enough to carry that out within an organization. The program is built to center its calculation of chats, email posts, and many more activities that deal with ‘chatbots.’


The vision Google has for communications in the future

Virtual assistance has remarkable time-saving qualities. A bot can be programmed to scan a calendar of different attendees and schedule a suitable appointment that takes place after a voice command. For instants, a command can go ‘schedule a meeting with Cindy,’ as simple as this may sound, it could save most employees hours of stress that is accompanied by scheduling a meeting. Aside from planning a meeting within the members of an organization. The technology can be used to complete a variety of complex tasks too. The Google Jamboard is yet another interactive whiteboard for business.

 
Google plans to improve the performance of machine learning to help out with tasks like notetaking. This technology will successfully transcribe conversation accurately, irrespective of the number of individuals participating in the conversation. The Jamboard will perform all the activities of a secretary, which include notetaking, saving notes, and sending it to all the attendees of the meeting.


The use of AI can help communication in your business

To a lot of people, improvement in machine language often sounds like science fiction. The truth is, but people and data are significant when it comes to communication in business. Most of the technology in the world today are built with the inherent power to enhance the relationship bond that exists between people and the received information. And this factor is essential when it comes to qualifying sales leads, improving customer service, and profiling customers. Modern businesses produce vast amounts of data. An incredible development like machine learning gives room for processing vast amounts of data faster than when it is done manually. For instance, all forms of conference calls can be recorded and stored.

 
Taking records, saving, and processing all sorts of call data can give room for businesses to modify, and locate patterns that lead to more productivity. Identification of trends in customers’ communication and observing out teams that are not working or that requires changes. Machine learning can also provide information about a customer if he or she prefers meetings or calls, the right time to speak, and the appropriate time to listen. All of this data can be very beneficial to your customer service since it provides helpful tips to know at what time your team needs to put calls across and the number of employees needed at any given time. Any form of activity that involves patterns identification and theory involvement can be carried out with the use of a machine.


Conclusion

So, this is it! The two vital players in the field of communication are vigorously working hard to boost communication in business via the use of meetings and assistant software that is instigated through machine learning.