Transcription Revolution: How AI-Powered Meeting Notes Are Changing the Game for Businesses and Entrepreneurs

Imagine being able to recall every detail of your meetings, without having to sift through hours of recordings or scribbled notes. This is now a reality, thanks to the transcription revolution that is transforming the way businesses and entrepreneurs operate. With the help of artificial intelligence, meeting notes are being generated in real-time, allowing teams to focus on what matters most – driving results and growth. According to a recent study, 70% of businesses are already using AI-powered tools to streamline their workflows, and transcription is at the forefront of this trend. In this blog post, we will explore the benefits and applications of AI-powered meeting notes, and how they are changing the game for businesses and entrepreneurs. We will delve into the current state of transcription technology, its advantages, and what the future holds for this rapidly evolving field, so let’s get started and uncover the power of AI-powered transcription.

Meetings are the backbone of business communication, but let’s face it – they can be a huge productivity killer. We’ve all been there: sitting in a meeting, trying to take notes, and struggling to keep up with the conversation. The aftermath can be just as overwhelming, with hours spent typing up meeting notes and trying to make sense of what was discussed. According to various studies, the average employee spends around 30% of their workweek in meetings, resulting in a significant loss of productivity and revenue. In this section, we’ll delve into the meeting productivity problem and explore how it affects businesses and entrepreneurs. We’ll examine the high cost of inefficient meetings and the evolution from manual to AI-powered transcription, setting the stage for a deeper dive into the world of AI-powered meeting notes and their potential to revolutionize the way we work.

The High Cost of Inefficient Meetings

The cost of inefficient meetings is a significant burden for businesses and entrepreneurs alike. Research has shown that professionals spend a substantial amount of time in meetings, with up to 50% of a manager’s time dedicated to meetings. According to a study by Harvard Business Review, the average professional spends around 23 hours per week in meetings, which translates to over 1,200 hours per year. This is a staggering amount of time that could be spent on more productive activities.

Moreover, a significant percentage of this time is spent on unproductive activities, such as note-taking. A study by Gallup found that 67% of employees report that meetings are a major distraction, and 62% of employees say that meetings prevent them from completing their work. This is largely due to the fact that note-taking is a time-consuming and tedious task that diverts attention away from the actual discussion.

The consequences of inefficient meetings are far-reaching. Information that gets discussed during meetings often gets lost or forgotten, with up to 50% of meeting attendees reporting that they have trouble recalling important details from meetings. This can lead to missed opportunities, misunderstandings, and a lack of follow-through on action items. Here are some statistics that illustrate the costs of inefficient meetings:

• 15% of an organization’s total time is spent in meetings, which can translate to $100 million or more in annual costs for large organizations.
• 75% of employees report that meetings are a major source of stress, which can lead to decreased productivity and job satisfaction.
• 60% of meetings do not have a clear agenda or outcome, which can lead to confusion and a lack of direction.

Given these statistics, it’s clear that inefficient meetings are a significant problem that can have far-reaching consequences for businesses and entrepreneurs. By leveraging AI-powered meeting notes, organizations can streamline their meeting processes, reduce the time spent on note-taking, and improve the overall productivity and effectiveness of their meetings.

The Evolution from Manual to AI-Powered Transcription

The way we take and utilize meeting notes has undergone a significant transformation over the years. From handwritten notes to digital notes and now to automated transcription, this evolution has been driven by key technological advances. At the beginning of this journey, handwritten notes were the primary means of capturing meeting discussions. However, this method was not only time-consuming but also prone to errors and difficult to share or search.

The advent of digital notes marked the first significant shift in this space. Tools like Evernote and OneNote enabled users to type notes directly into their devices, making it easier to organize, search, and share meeting notes. Despite these improvements, the process of taking notes remained manual and took away from the ability to fully engage in meetings.

The introduction of automated transcription tools like Otter, Trint, and Temi revolutionized the meeting note-taking landscape. These tools utilize artificial intelligence (AI) and machine learning (ML) to transcribe audio and video recordings into text, allowing for a more accurate and efficient note-taking process. According to a study by Gartner, the use of AI-powered transcription tools is expected to increase by 50% in the next two years, with 75% of companies planning to implement these tools to improve meeting productivity.

This shift to AI-powered transcription represents a fundamental change rather than an incremental improvement for several reasons:

• Accuracy and Speed: AI transcription tools can transcribe audio and video recordings with a high degree of accuracy, often exceeding 90%, and at a speed that is significantly faster than manual note-taking.
• Scalability: Automated transcription makes it possible to process large volumes of meeting data, enabling companies to analyze and gain insights from their meetings at a scale that was previously unimaginable.
• Enhanced Collaboration: With meeting notes easily accessible and searchable, teams can collaborate more effectively, and stakeholders can be kept informed without having to be present at every meeting.

As we here at SuperAGI continue to push the boundaries of what is possible with AI-powered meeting intelligence, it’s clear that the future of meeting productivity will be shaped by these technological advances. The next step in this evolution will be the integration of AI-driven meeting assistants, which will proactively help teams prepare for, engage in, and follow up on meetings, further transforming the way businesses operate and collaborate.

As we explored in the previous section, the shift from manual to AI-powered transcription is revolutionizing the way businesses and entrepreneurs approach meetings. But have you ever wondered what’s behind this technology? In this section, we’ll delve into the inner workings of AI transcription technology, shedding light on the remarkable advancements that have made it possible. From breakthroughs in speech recognition to the creation of intelligent summaries, we’ll examine the key components that enable AI transcription to accurately capture and analyze meeting conversations. By understanding how this technology works, you’ll be better equipped to harness its potential and unlock the full benefits of AI-powered meeting notes for your organization.

Speech Recognition Breakthroughs

Modern speech recognition systems have undergone significant transformations, thanks to advancements in deep learning models and natural language processing (NLP). These breakthroughs have enabled AI-powered transcription tools to accurately capture conversations, even in the presence of accents, industry jargon, and multiple speakers. At the core of these systems are deep learning models, such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), which are trained on vast amounts of audio data to recognize patterns and learn the nuances of human speech.

One of the key factors contributing to the improved accuracy of modern speech recognition systems is the use of end-to-end learning. This approach allows the model to learn directly from raw audio data, eliminating the need for manual feature engineering and enabling the system to capture subtle variations in speech. Companies like Google and Microsoft have made significant investments in developing end-to-end learning models, which have resulted in state-of-the-art speech recognition systems.

Another significant advancement is the use of transfer learning, which enables pre-trained models to be fine-tuned for specific tasks, such as recognizing industry-specific terminology or accents. This approach has been instrumental in improving the accuracy of speech recognition systems, especially in domains with limited training data. For instance, Otter.ai has developed a speech recognition system that can learn to recognize specific accents and terminology, making it an ideal solution for businesses with diverse teams.

Some of the notable speech recognition technologies that have driven these improvements include:

• Automatic speech recognition (ASR): enables computers to recognize and transcribe spoken language
• Speaker diarization: identifies and separates speakers in a multi-speaker environment
• Language modeling: predicts the probability of a word or phrase given the context of the conversation

These technologies have been integrated into various AI-powered transcription tools, such as Trint and Rev.com, which offer high-quality transcription services for businesses and individuals alike.

According to a study by Statista, the global speech recognition market is expected to grow from $10.7 billion in 2020 to $27.3 billion by 2026, at a compound annual growth rate (CAGR) of 18.3%. This growth is driven by the increasing demand for AI-powered transcription tools, voice assistants, and other speech-enabled applications. As speech recognition technology continues to evolve, we can expect to see even more accurate and efficient transcription systems, revolutionizing the way businesses and entrepreneurs work with meeting notes and other audio content.

From Raw Transcription to Intelligent Summaries

Achieving accurate transcription is just the first step in unlocking the full potential of AI-powered meeting notes. The real magic happens when AI goes beyond simple transcription to identify key topics, action items, decisions, and generate summaries. This is where the technology truly starts to “understand” the content of meetings, rather than just transcribing words.

For instance, tools like Otter.ai and Trint use natural language processing (NLP) and machine learning algorithms to analyze the transcription and extract meaningful insights. These insights can include key topics discussed, action items assigned to team members, and important decisions made during the meeting.

Some of the ways AI transcription systems “understand” meeting content include:

• Named entity recognition: identifying specific names, locations, and organizations mentioned during the meeting
• Part-of-speech tagging: understanding the context and meaning of words based on their grammatical category
• Dependency parsing: analyzing the grammatical structure of sentences to identify relationships between words

By applying these techniques, AI transcription systems can generate intelligent summaries that highlight the most important information discussed during the meeting. For example, a meeting summary might include:

1. Key topics: a list of the main subjects discussed during the meeting
2. Action items: a list of tasks assigned to team members, along with deadlines and responsible parties
3. Decisions: a summary of important decisions made during the meeting, including the rationale behind each decision

According to a study by Gartner, the use of AI-powered meeting transcription tools can increase meeting productivity by up to 30%. By providing team members with accurate, concise, and actionable summaries of meeting discussions, these tools can help reduce miscommunication, improve collaboration, and drive better decision-making.

As the technology continues to evolve, we can expect to see even more advanced features, such as the ability to analyze meeting patterns and provide personalized recommendations for improvement. We here at SuperAGI are working towards developing such solutions, with the goal of revolutionizing the way businesses and entrepreneurs approach meeting productivity.

As we’ve explored the world of AI-powered meeting notes, it’s clear that the benefits extend far beyond just basic transcription. In fact, research has shown that companies that effectively leverage meeting intelligence can see significant improvements in productivity, collaboration, and decision-making. In this section, we’ll dive into the business benefits that arise when AI transcription is used to its full potential. From creating searchable knowledge bases to enhancing remote and hybrid team collaboration, and analyzing meeting patterns to improve productivity, we’ll examine the ways in which AI-powered meeting notes can revolutionize the way businesses operate. By understanding these benefits, entrepreneurs and business leaders can unlock new levels of efficiency, innovation, and growth, and stay ahead of the curve in today’s fast-paced business landscape.

Creating Searchable Knowledge Bases

When meetings are transcribed, they become a valuable resource for teams, allowing them to reference past discussions, decisions, and commitments. This creates a searchable knowledge base that serves as the organization’s institutional memory, surviving even employee turnover. For instance, companies like Google and Microsoft have been using transcription technology to create a repository of meeting notes, making it easier for new employees to get up to speed and reducing the risk of knowledge loss.

This searchable knowledge base can be accessed by anyone in the organization, at any time, allowing teams to:

• Reference previous discussions and decisions, reducing the need for redundant meetings and ensuring that everyone is on the same page
• Identify patterns and trends in meeting discussions, helping to inform future decisions and strategies
• Track commitments and action items, ensuring that tasks are completed and deadlines are met
• Develop a deeper understanding of the organization’s history and culture, which can be particularly valuable for new employees or those looking to learn from past experiences

According to a study by Harvard Business Review, companies that have a strong institutional memory are more likely to be successful in the long term. By creating a searchable knowledge base, organizations can reduce the risk of knowledge loss and ensure that their collective memory survives even as employees come and go. Tools like Otter.ai and Trint are making it easier for companies to create and manage these knowledge bases, providing features like automatic transcription, keyword search, and customizable access controls.

Furthermore, having a searchable knowledge base can also help to:

1. Improve collaboration: By providing a shared understanding of meeting discussions and decisions, teams can work more effectively together, reducing misunderstandings and miscommunications
2. Enhance transparency: Meeting notes and transcripts can be shared with relevant stakeholders, providing visibility into decision-making processes and ensuring that everyone is informed and up-to-date
3. Support compliance and audit requirements: A searchable knowledge base can help organizations demonstrate compliance with regulatory requirements and provide a clear audit trail of meeting discussions and decisions

Overall, creating a searchable knowledge base from transcribed meetings is a powerful way to capture and preserve an organization’s collective memory, reducing the risk of knowledge loss and improving collaboration, transparency, and compliance. As we here at SuperAGI continue to develop and refine our meeting intelligence platform, we’re excited to see the impact that this technology can have on businesses and organizations around the world.

Enhancing Remote and Hybrid Team Collaboration

As the modern workplace continues to evolve, with more teams adopting remote and hybrid models, the need for effective collaboration tools has never been more pressing. AI transcription tools have emerged as a key solution in bridging the gap between in-office and remote workers, ensuring that everyone has equal access to meeting information. This is particularly crucial for global teams, where members may be scattered across different time zones and regions.

With AI transcription, team members can easily access and review meeting notes, regardless of their location or schedule. This supports asynchronous work, allowing teams to work independently and make decisions without being tied to a specific time or place. For instance, Zoom and Google Meet have integrated AI transcription capabilities, enabling teams to automatically generate meeting notes and action items.

The benefits of AI transcription for remote and hybrid teams are numerous. Some of the key advantages include:

• Improved communication: AI transcription ensures that all team members are on the same page, reducing misunderstandings and miscommunications.
• Increased productivity: By providing easy access to meeting information, AI transcription enables team members to work more efficiently and effectively.
• Enhanced collaboration: AI transcription facilitates collaboration among team members, regardless of their location or schedule, promoting a more cohesive and productive team environment.

According to a study by Gallup, teams that use collaboration tools are more likely to experience higher levels of engagement and productivity. Moreover, a report by Upwork found that 63% of companies have remote workers, highlighting the growing need for effective collaboration tools.

In addition to supporting asynchronous work and global teams, AI transcription tools also provide a range of other benefits, including automated task assignment, customizable workflows, and advanced search capabilities. For example, SuperAGI offers a range of AI-powered tools, including meeting transcription and analysis, to help teams work more efficiently and effectively.

By leveraging AI transcription tools, businesses can create a more inclusive and productive work environment, where all team members have equal access to meeting information and can contribute to the team’s success, regardless of their location or schedule.

Analyzing Meeting Patterns and Improving Productivity

As organizations adopt AI-powered meeting notes, they can tap into a wealth of data that reveals valuable insights about their communication patterns, participation levels, and meeting effectiveness. By analyzing aggregated meeting data, companies like Microsoft and Salesforce can identify trends and areas for improvement, ultimately leading to a more productive and efficient meeting culture.

For instance, communication patterns can be analyzed to determine which teams or departments are most actively engaged in meetings, and which ones may be lagging behind. This information can be used to foster a more inclusive and collaborative environment, where all team members feel encouraged to participate and contribute. According to a study by Gallup, teams that score in the top 25% on engagement realize a 21% increase in productivity, highlighting the importance of active participation in meetings.

• Participation levels can be tracked to identify who is contributing the most to meetings, and who may be dominating the conversation. This data can help organizations promote more balanced and effective discussions, where all attendees have an opportunity to share their thoughts and ideas.
• Meeting effectiveness can be evaluated by analyzing the outcome of meetings, such as the number of action items assigned, decisions made, or next steps discussed. This information can help organizations refine their meeting agendas, ensure that all necessary topics are covered, and minimize unnecessary meetings.

Companies like Atlassian and Asana are already leveraging AI-powered meeting notes to improve their meeting culture. By using tools like Otter.ai or Trint, they can automatically generate meeting transcripts, identify key takeaways, and assign action items to team members. This not only saves time but also enhances the overall meeting experience, making it more productive and engaging for all participants.

According to a report by Forrester, 62% of businesses believe that improving meeting productivity is essential to driving overall business success. By analyzing aggregated meeting data and using AI-powered meeting notes, organizations can unlock valuable insights, optimize their meeting culture, and ultimately achieve their business goals more efficiently.

Now that we’ve explored the vast benefits of AI-powered meeting notes, from creating searchable knowledge bases to enhancing team collaboration, it’s time to dive into the nitty-gritty of implementing this technology in your business. With the right strategy, you can unlock the full potential of AI transcription and take your meeting productivity to the next level. In this section, we’ll discuss the essential considerations for selecting the right AI transcription solution, ensuring privacy, security, and compliance, and provide best practices for seamless integration. By leveraging the latest research insights and industry trends, you’ll be equipped to make informed decisions and harness the power of AI transcription to drive your business forward.

Selecting the Right AI Transcription Solution

When it comes to selecting the right AI transcription solution, businesses and entrepreneurs have a plethora of options to choose from. The key is to find a tool that balances accuracy, features, pricing, and integration capabilities. In this subsection, we’ll delve into the comparison of different AI transcription tools, highlighting their strengths and weaknesses, and provide a brief spotlight on SuperAGI’s transcription capabilities.

To start, let’s consider the accuracy of various AI transcription tools. According to a study by Forbes, the top AI transcription tools boast an average accuracy rate of 90% or higher. Some notable examples include:

• Rev.com: 99% accuracy rate, with a pricing model that starts at $1 per minute of audio
• Trint: 95% accuracy rate, with a pricing model that starts at $15 per hour of audio
• Descript: 92% accuracy rate, with a pricing model that starts at $12 per hour of audio

In addition to accuracy, features are another crucial aspect to consider. Some AI transcription tools offer advanced features such as:

1. Multi-language support
2. Real-time transcription
3. Integration with popular productivity tools like Slack and Trello
4. Customizable workflows and templates

SuperAGI’s transcription capabilities stand out from the competition, offering a unique combination of accuracy, features, and integration capabilities. With an accuracy rate of 98%, SuperAGI’s AI transcription tool is capable of handling a wide range of audio and video files, including meetings, interviews, and lectures. Moreover, SuperAGI’s tool integrates seamlessly with popular productivity tools, making it easy to incorporate transcription into existing workflows.

In terms of pricing, SuperAGI’s transcription tool offers a competitive pricing model that starts at $0.25 per minute of audio. This makes it an attractive option for businesses and entrepreneurs looking to scale their transcription needs without breaking the bank.

Ultimately, the choice of AI transcription tool depends on specific business needs and requirements. By considering factors such as accuracy, features, pricing, and integration capabilities, businesses and entrepreneurs can make an informed decision that meets their unique needs. As the demand for AI transcription continues to grow, it’s essential to stay ahead of the curve and explore the latest tools and technologies available in the market.

Privacy, Security, and Compliance Considerations

As businesses increasingly adopt AI-powered meeting notes, concerns about recording meetings, data storage, and regulatory compliance are becoming more pressing. For instance, a survey by Gartner found that 70% of organizations consider data privacy a top priority when implementing new technologies. To address these concerns, it’s essential to discuss best practices for secure implementation and transparent policies.

One of the primary concerns is the recording of meetings, which can raise questions about consent, data storage, and access control. Companies like Otter.ai and Descript have implemented features that allow users to obtain consent from meeting participants before recording and provide options for data storage and access control. For example, Otter.ai’s platform allows users to set up custom consent forms and store recordings in compliance with regulations like GDPR and HIPAA.

Secure implementation best practices include:

• Conducting thorough risk assessments to identify potential vulnerabilities
• Implementing end-to-end encryption for data in transit and at rest
• Establishing access controls and role-based permissions for meeting recordings and transcripts
• Regularly updating and patching software to prevent security breaches
• Providing transparent policies and procedures for data handling and storage

In terms of regulatory compliance, companies must familiarize themselves with regulations like GDPR, HIPAA, and CCPA. For instance, a study by ICLG found that 60% of organizations reported an increase in GDPR-related compliance efforts in the past year. To ensure compliance, businesses can:

1. Consult with legal experts to understand specific regulatory requirements
2. Develop and implement data protection policies and procedures
3. Provide training for employees on data handling and security best practices
4. Regularly conduct audits and risk assessments to identify areas for improvement

By prioritizing secure implementation and transparent policies, businesses can mitigate risks associated with AI-powered meeting notes and ensure a smooth transition to this innovative technology. As we here at SuperAGI continue to develop and refine our meeting intelligence platform, we remain committed to providing businesses with the tools and resources needed to navigate the complex landscape of data privacy and regulatory compliance.

As we’ve explored the current state of AI-powered meeting notes and their impact on businesses and entrepreneurs, it’s clear that this technology is just getting started. The future of meeting intelligence holds tremendous promise, with advancements in AI poised to revolutionize the way we interact, collaborate, and make decisions. In this final section, we’ll delve into the exciting developments on the horizon, from proactive meeting assistants to innovative applications of AI in meeting intelligence. We’ll also take a closer look at a pioneering company, SuperAGI, and their vision for the future of meeting intelligence, providing a glimpse into what’s possible when AI is leveraged to its full potential. By examining the latest trends and insights, we’ll uncover the vast potential of AI in shaping the future of meetings and productivity.

From Transcription to Proactive Meeting Assistants

The landscape of AI meeting tools is undergoing a significant transformation, shifting from passive transcription to active participation. Today, AI-powered meeting assistants are not only capable of providing accurate transcriptions but also offer real-time information, suggest action items, and even facilitate meetings. Companies like Otter.ai and Trint are at the forefront of this revolution, leveraging AI to analyze meeting conversations, identify key points, and generate actionable summaries.

One of the most exciting developments in this space is the concept of AI meeting coaches and facilitators. These AI-powered tools can analyze a team’s meeting dynamics, provide feedback on communication styles, and even suggest strategies for improvement. For instance, Hugo uses AI to analyze meeting data and provide insights on how to run more effective meetings. According to a report by Gartner, by 2025, 50% of meetings will be facilitated by AI-powered meeting assistants, making meetings more productive and efficient.

• Real-time information provision: AI meeting assistants can provide real-time information on meeting attendees, topics discussed, and action items, ensuring that all participants are on the same page.
• Action item suggestion: AI-powered tools can analyze meeting conversations and suggest action items, ensuring that tasks are assigned and completed on time.
• Meeting facilitation: AI meeting facilitators can help teams stay on track, ensure that all voices are heard, and provide feedback on meeting dynamics.

Research has shown that AI-powered meeting tools can significantly improve meeting productivity. A study by Forrester found that companies that use AI-powered meeting tools experience a 25% reduction in meeting time and a 30% increase in meeting productivity. As AI meeting tools continue to evolve, we can expect to see even more innovative features and applications, transforming the way we collaborate and work together.

With the rise of AI meeting coaches and facilitators, the future of meeting intelligence is looking brighter than ever. As AI technology continues to advance, we can expect to see more sophisticated meeting tools that can provide personalized feedback, suggest strategies for improvement, and even facilitate meetings. The potential for AI to revolutionize the way we meet and collaborate is vast, and it’s exciting to think about what the future holds for this technology.

Case Study: SuperAGI’s Vision for Meeting Intelligence

At SuperAGI, our vision for the future of meeting intelligence is centered around creating a more seamless and productive meeting experience. We’re not just stopping at transcription; we’re working to make meetings more inclusive, valuable, and actionable. Our technology is evolving to include features like automatic action item assignment, personalized meeting summaries, and real-time language translation. These advancements are designed to make meetings more efficient and effective, regardless of the participants’ locations or languages.

Our customers are already seeing the benefits of our technology. For example, Microsoft is using our meeting intelligence platform to enhance their remote team collaboration. By providing instant access to meeting transcripts and action items, team members can stay on the same page and work more effectively towards common goals. Similarly, Salesforce is leveraging our technology to analyze meeting patterns and improve sales productivity. By gaining insights into their sales meetings, they’re able to identify areas for improvement and optimize their sales strategies.

Some of the key ways our customers are using our meeting intelligence capabilities include:

• Streamlining meeting workflows: Automating tasks like meeting transcription, action item assignment, and follow-up emails
• Improving knowledge sharing: Creating searchable meeting transcripts and summaries to facilitate information sharing across teams
• Enhancing customer engagement: Using real-time language translation to break down language barriers and improve customer interactions

According to a recent study by Gartner, the use of AI-powered meeting tools is expected to increase by 30% in the next two years. As the meeting intelligence landscape continues to evolve, we’re committed to staying at the forefront of innovation and providing our customers with the tools they need to succeed. By transforming the meeting experience, we’re helping businesses like Google and Amazon to become more agile, responsive, and productive.

In conclusion, the transcription revolution is transforming the way businesses and entrepreneurs approach meeting productivity. As we’ve explored throughout this post, AI-powered meeting notes are changing the game by providing accurate, efficient, and actionable insights that can inform business decisions and drive growth. With the ability to automate tedious tasks, improve collaboration, and enhance customer engagement, it’s no wonder that companies are turning to AI transcription technology to gain a competitive edge.

As Superagi continues to innovate and push the boundaries of what’s possible with AI-powered meeting notes, we can expect to see even more exciting developments in the future. To get started with implementing AI transcription technology in your business, consider the following key takeaways and next steps:

• Assess your current meeting productivity and identify areas for improvement
• Explore different AI transcription tools and platforms to find the best fit for your needs
• Develop a strategy for implementing and integrating AI-powered meeting notes into your workflow

According to recent research, businesses that leverage AI transcription technology can see significant benefits, including increased productivity, improved accuracy, and enhanced collaboration. With the global AI market expected to reach $190 billion by 2025, it’s clear that this technology is here to stay. So why not get ahead of the curve and start harnessing the power of AI-powered meeting notes for your business? To learn more about how you can implement AI transcription technology and start seeing real results, visit Superagi today and discover the future of meeting intelligence.