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.
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.
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.
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.
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.