With advanced Artificial Intelligence (AI) and Machine Learning (ML) growing more prevalent across a variety of industries, you may be wondering how your business can carve its niche within this new and exciting technological trend. The good news is that, as AI and ML become increasingly sophisticated, their range of potential uses has become increasingly vast — and it has come to include many corporate settings, regardless of their provided services or products.

Here are a few ways you might be able to implement AI and ML into your workplace.

 

Improving meetings

An immediately useful AI/ML application is the improvement of meeting ergonomics — especially those surrounding video meetings and conference calls, two incredibly common methods of interoffice collaboration. These technologies may be used to limit the amount of noise interference between two speakers during a call, improving overall audio quality by learning to eliminate certain unwanted noises like keyboard typing, pets, and distant sirens. Furthermore, AI and ML have been helped to strengthen video aspects of a meeting, constantly reframing camera views to give everyone a clear, consistent view while keeping all participants aware of who is present and who is currently speaking.

 

Bot contributions

There is an entire subset of possibilities surrounding the use of AI- and ML-based chatbots. These autonomous units have already been implemented in a variety of industries, previously holding exclusive prominence within consumer culture. However, bots have only just recently become equally prevalent in the workplace, with HR teams nationwide investing in them as virtual assistants to daily operations; their capabilities may include meeting scheduling, document generation, and the tapping of various employee health- and benefits-related data. Human-based HR operations continue to be the best approach in terms of general control, but why not consider digitally supplementing parts of the process?

 

Thinking outside the box

Perhaps the best part about corporate-based AI and ML is its ability to inspire new, innovative approaches to longstanding office processes. Subsequent technologies stemming from autonomous learning open a whole new series of doors for employee engagement tactics, collaborative sessions, and presentations. Virtual reality (VR), for instance, continues to be explored in scenarios where synthetic projections could lead to increased foresight and improved understanding — potentially without the need to spend money on physical means of accomplishing both. For instance, Zues Kerravala of CIO discusses how VR could be integrated into team meetings centered on the dissection of an object (in his example, a heart pump) without the need to actually purchase the object for demonstrative purposes. This scenario could be beneficial both financially and educationally, and Kerravala’s example is just one of countless ways an AI-based tool could change that company’s entire approach to trainings and goals.