How can AI be used to increase collaboration at the workplace

How can AI be used to increase collaboration at the workplace

AI for Workplace: Our lives have been increasingly intertwined with Artificial Intelligence as we move forward in the future. From industries to our homes, manufacturing to packaging, from the collection of Gigabytes of data to its analysis AI is very adaptive and useful. 

For this discussion i.e, “Use of AI to increase collaboration at the workplace”, we will talk mainly about the two aspects of AI, which is, Machine Learning and Natural language processing.

You will be educated with the ways how AI could penetrate our business workflows, current workflows, and even the workforce as fellow contributors to improve the meeting’s effectiveness and efficiency. 

It is more than true that AI and Humans complement each other, and that they both are at their best when working together. This collective intelligence will make a collaboration Expert out of us all. 

End-users and HR, IT, real estate, and facilities teams alike will receive measurable, significant benefits in improved productivity and engagement, enhanced employee acquisition and retainment, and optimized usage of technology and real estate investments.

We analyze the below-mentioned cases for AI that will have an exciting impact on the digital workplace.

AI for pre-meeting efficiency – AI for Workplace

Smart Scheduling: Sometimes it can take sufficiently long to team up with the participants, plan, and meeting time as much as the meeting itself.

Executing NLP, AI reacts to the orders by text or voice and interfaces with schedule applications to welcome members, set up arrangements, track reactions, and find the best gathering room area. 

When converged with AI calculations, AI figures out who ought to be important for the gathering or who shouldn’t, the most appropriate time to hold the gathering and areas for the gathering, and even conjecture the participants’ decisions.

Simulated intelligence’s taking care of the progression of planning undertakings while sparing countless long periods of beneficial time.

Auto compose messaging: Auto-composition can be seen in email applications, for example, Yahoo and Gmail. It is an essential expansion for savvy planning. Computer-based intelligence bots type email messages and make schedule solicitations to participants with the gathering plan, and if accessible, joining notes from the last meeting.

It suggests fitting answers and finishes up sentences for messages. This language computerization assumes the activity of smoothing out correspondence when executed in meeting work processes. Email volume will definitely drop while group profitability develops.

Identifying and managing quality and security risks: Having a meeting is still a heinous task to perform. There’s always some kind of technical issue with sound quality, video quality, connecting issues, etc.

Diagnosing Errors: The above-mentioned issues can very much be resolved using an AI assistant which can help the particular participant by first diagnosing the problem and then resolving or just act as a guide to the participant

AI for In-meeting productivity

Virtual digital assistant:  A Virtual Digital assistant will take the non-creative workload(reminding participants of the meeting, asking for the reports) off of the participants. They can now more-aptly give their 100% to the work and hence increase the quality and productivity.

Virtual digital assistants like Google Assistant or Alexa in meetings will save time and manage project discovery. It generates a superior level of combined intelligence, which will accelerate innovation, team output, and time to market considerably.

Accessibility: During an Audio glitch,  hearing impairment, or poor network resulting in participants not able to hear what other person is saying, AI bots, based on conversational 

AI and  NLP can greatly come into play and help the participant communicate by converting audio into text. This can greatly increase the productivity of the participant and can really stop the frustration he/she would otherwise feel.

Self-service helpdesk: AI chatbots are the front lines of customer service. Having an AI-driven support app devoted to meetings, both real and virtual, will solve usual meeting friction points before they can interrupt teamwork.

End-users ask for help during a meeting via text or voice with conversational AI. All issues can be dealt with continuously by the chatbot, which either routes a new service ticket to the most qualified technician or replies from the service knowledge base with the possible resolution.

AI for post-meeting productivity

Project management: Using voice control, team members can acquire a list by text or email of new project jobs assigned to them. AI also reminds job owners of their task dependencies and due dates. AI will learn team member skills and roles, assigning new tasks to members based on fit.

When AI manages projects, members freed to concentrate on their contributions and ideas instead of reporting the status of their tasks. Project management tools help streamline team communication and take workplace collaboration to new heights.

Sentiment analysis: AI learns voice modulations to identify the underlying expression, which might not be conveyed by words. Furthermore, facial recognition can recognize basic emotions.

With these tools, AI might observe the level of engagement of meeting participants, sentiment in the meeting, and their satisfaction with space and technology supporting it.

Resource allocation: HR teams, real estate, and IT facilities all seek to optimize their resources for the most efficient user experience and to make their business decisions on objective data.

With AI-driven analytics tools for meeting scheduling, system health, project workflows, space utilization, and user satisfaction, it will be capable of predicting the optimal allocation of support personnel, technology, and meeting space. These AI-driven recommendations will identify possible savings and eliminate budget waste.

While AI expands team collaboration, it also relieves facilities and IT departments from regular monitoring, management, and maintenance of meeting spaces and technology.

AI technology will bring utterly new humanity to the workplace as long as workplace leaders concentrate on AI applications that support instead of penetrating human creativity.

Conclusion

We see human factors coupled with AI development as the next essential step for workplace experience and technology adoption success. With a learned, collective human-centered approach, AI is ready to make the collaboration experts of us all.

Read More: Top AI tools transforming our lives

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