How machine Learning is changing the Face of Business communications

access_time March 6, 2019
by   TechmavenitAdmin
chat_bubble 0
remove_red_eye 290 views
Machine learning is finding increasing application in every sphere of human activity and its integration in the workplace communications systems is merely a continuation of that trend. The current new – emerging – technologies such as Artificial Intelligence and Machine learning are ushering in an environment where virtual robots, voice assistants and robotic process automation (RPA) help streamline and improve our business communication strategies. Bob Davis, Corporate Vice president of Office 365 Engineering at Microsoft, explained that Microsoft has long-term vision for the enterprise communication industry. Known as Intelligent Communications, “it will be insightful and proactive, enabling us to break down barriers and better handle the flood of information we are exposed to every single day”. Workplace communication system integration with machine learning has helped companies improve their ability to analyze complex patterns in user data, leading to better and more effective business communication processes and greater acceptance levels. Helping to influence audience The main purpose of any business communication, such as a letter to shareholders or a keynote address, is to convey certain matters to the target audience. The communication is drafted in such a way that it finds ready acceptance among the target audience. The company will surely be pondering whether this letter will indeed be taken well by the audience and produce the desired result. Latest technology advancement in machine learning and data science has enabled us deliver better-targeted and more relevant business communication messages that will find greater acceptance among audiences. This is a result of the advances made in machine learning technology that will help us simulate an audience and also provide us with information on the possible manner in which this communication letter is likely to be received by the audience. You can use these same processes to measure the effectiveness of your peers, competitors etc and what your standing is when compared with them. Machine learning helps improve entire communication processes In their research on “An Executives Guide to Machine Learning” McKinsey has stated that machine learning will not only arm coaches, speakers and writers with more than just descriptive insights and predictive measures but will begin to play a major role in the improvement of the process itself. We generally rehearse in front of family members, friends and coaches before giving a major speech to an audience. Nevertheless, in such a scenario, we are faced with several drawbacks and the platform where the rehearsal takes place is not a facsimile of the stage where we are going to deliver the speech. Virtual reality could change that. Moreover, as these virtual reality platforms become more immersive and more accessible, speakers will have the opportunity to simulate speaking in their presentation space, in front of a packed audience. Speakers can make use of this technology to interact with different kinds of audiences and become more comfortable speaking to the audience. Providing for greater employee insights As more and more businesses adopt voice and video conferencing systems to manage their internal and external communications, a huge volume of data that contains workplace discussions, thought processes and worker preferences has emerged that businesses can potentially make use of. These tend to provide a greater degree of insight on employees than on any employee surveys or corporate feedback form that may be employed to gather employee information. Studies reveal that we spent a substantial amount of our time in communicating with others. Using these new technology tools such as machine learning and artificial intelligence, we can make our interactions and communication with our audiences a very successful and rewarding one.

Our Recent Posts