5 Ways AI is Advancing Team Collaboration in Business

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The practice of using artificial intelligence and machine learning for “cognitive collaboration” is now becoming the center of the conversation. More now than ever, businesses are beginning to rely on AI and machine learning to advance their goals.

Here is a list of list of how cognitive collaboration will affect business functions based on the upcoming business trends.

1. Your digital assistant will be more critical than ever, helping you get through the day.

Digital assistants are quickly becoming mainstream, with more than 100 million hardware devices such as Amazon Alexa and Google Home in our homes and offices, connecting us to consumer assistance. Enterprise-grade assistants that feature conversational AI will soon make meetings easier than ever, allowing you to start a recording, call a colleague, or join a meeting using only your voice to control the device. This technology is technically available now, but is just getting started – we’ll likely see the functionality increase rapidly soon, adding features like note taking and meeting schedule.

2. The distributed collaboration will be more personable and productive than meeting in person.

AI capabilities will allow you to have access to contextual information that you cannot currently obtain during in-person meetings. You won’t have to search on Google or LinkedIn, instead, you’ll have information about the people near you, their education, publishing history, information about their company, and social media information with just a single click or voice search. You’ll be able to build stronger connections as you discover the shared background and common interests. Facial recognition may also be useful, displaying the names and titles of those you’re connecting within a virtual meeting as you meet with an online room full of participants.

3. AI will interact with your collaboration platform

Everything in the software you use to collaborate, from your meetings to your team spaces and the apps on your devices will soon be equipped with AI function. You’ll be able to join a session and immediately return to the last text conversation you had with a colleague, or go into a team space and instantly access the last whiteboard you were using, without needing to search. While on an individual level, this may seem like a small improvement, when you scale this up across a large organization, the time that is saved becomes quite impactful.

4. Software interoperability becomes more important than ever

It’s critical that high-quality platforms work together to leverage AI use, it’s also crucial that all of the software work together smoothly. Individuals will want to stick with the programs that they like best and that they are most productive using, so it’s vital that the software plays nicely together. Collaboration solutions can utilize AI, but they’ll also need to integrate and function smoothly. Employee preference will continue to evolve, often revolving around the simplest and most productive solution, so organizations need to work with programs that have a track record of being user-friendly and interoperable.

5. Enterprise adoption of AI helps it evolve more quickly

AI function will continue to grow as more businesses adopt it as enterprise technology. There are two main reasons this happens:

First, the data. AI and data work hand in hand. The more data that is accessible, the easier it is for AI and machine learning to access it, work with it, and find patterns that lead to more efficiency and productivity.

The providers themselves are the second reason. It won’t be long at all before enterprise clients notice the power AI enabled collaboration has for their business. This will only drive demand for more technologically based solutions. Providers will continue to invest in AI, as they become a major way that collaboration technology companies can rise above the competition.

Technology solutions cannot be made based on which individual solutions solve finite problems today. Instead, it’s become essential to plan ahead for the future, building products that adjust the way people interact and connect, with AI by their side.