Share via Email Short, snappy and fast. Gone are the days of memos — replaced by characters on Twitter There was a time when, if you wanted to formally communicate with a business colleague, you undertook the following steps:
In recent years, this mindset The changing face of business communication changed. Data is what shapes products and services, improves customer experiences, and ultimately defines brands. To downplay the role of people, is to fundamentally misunderstand the way that businesses work and the way that ideas are collaboratively formed.
Big data has successfully provided businesses with a wealth of information on how their staff choose to interact, when people log in and clock off, and when and where people may be at their most productive. These are the human aspects of office communication that the average data platform cannot yet capture and turn into meaningful insights.
This is soon set to change. Insight through communication As more and more businesses adopt voice and video conferencing systems to manage their internal and external communications, a growing wealth of data has been made available, which increasingly captures workplace discussions, thought processes, and worker preferences.
These face-to-face interactions can tell us so much more about how and why business decisions are being made, providing a greater degree of insight than any employee survey or corporate feedback form.
Given the unstructured nature of these insights, it is considered impossible for businesses to capture them in a useful, yet non-invasive, way. Harnessing machine learning to drive B2B relationships The idea of automating such analysis is viewed as impossible, with automated review processes simply unable to cope with the levels of nuance required to identify patterns in complex video and voice content.
At the same time, the idea of manually trawling through such content to find patterns was both unrealistic and, frankly, unethical. But now, a third way is starting to emerge; a way that allows businesses to develop valuable insights from unstructured data, without impacting corporate or employee privacy.
Anonymous machine learning Over the last 12 months, machine learning and artificial intelligence has dominated much of the conversation around how technology will shape the way people live and work in and beyond. Some real-world applications have come to the forefront, but much of this discussion still revolves around future-gazing predictions, theoretical concepts, and hype.
Although society is still be a long way off from the robot uprising predicted by many AI pundits, it is starting to see some of the most interesting and promising applications for machine learning tech. Over the next two years, machine learning will become increasingly integrated within workplace communications systems, helping to analyse complex patterns in user data and, ultimately, improving productivity across each interaction.
Already, Fuze — for example — is working with data scientists to prototype such an idea, using a small sample of internal communications data to uncover seemingly inconsequential patterns in how users prefer to communicate and interact in order to improve the overall productivity of the company.
This may seem like an inconsequential improvement, through the introduction of machine learning and big data analysis, but Fuze plans to ultimately expand this process to include all variety of workplace communications styles and preferences.
Selective sales and marketing As an example, consider the potential for a sales representative or contact centre employee. By using machine learning patterns, a sales rep will know when and where to tailor their communications approach——knowing how much they should talk versus how much they should listen.
Similarly, patterns identified could also help teams understand which customers are the most likely to respond to voice versus video calls, along with which times of the day sales reps are most likely to receive a positive interaction. The role of artificial intelligence in cyber security This is clearly a great opportunity for businesses to increase sales, but it is also just as much of an opportunity to provide the best possible customer experience.
If a business can use such patterns to streamline interactions and minimise customer frustration, then the result is a win-win scenario for everyone involved.
Communication is a deeply personal aspect of business, with different customers and employees having their own personal preferences and expectations. That said, as machine learning technology evolves, we expect to see such trials quickly evolve into a new standard for enterprise collaboration apps.
By relying on machine learning to analyse the available data, workplace communication providers will ensure that the data being analysed remains anonymous and outside the view of human eyes.
As this closed, automated environment becomes a reality, businesses are expected to become increasingly open to the idea of sharing their internal communications data in this way, allowing their apps to provide more detailed analysis into the ways they work. As this data set grows, businesses may one day reach a point where they can finally put an ROI figure on all workplace communications.
|Security, safety and BYOD: The changing face of business communication||The invention of pictographs or the first written communication in the ancient world gave us written communication.|
|Digital Editions||Every aspect of your business can be handled from remote locations if your smart device or tablet is loaded with the correct software.|
What is machine learning? Similarly, the ability for boards, managers, and sales teams to use this data to calculate a firm ROI for each interaction is not far behind.
This is where machine learning will sit in the future of workplace communications. Machines will streamline this process, allowing businesses to understand how those ideas will be shaped, repeated, and executed at scale.Such has become the business environment for many companies, forcing them to create and bolster their social media communication teams to handle round-the-clock public scrutiny.
How machine learning is changing the face of business communication Machine learning is on the verge of seriously impacting workplace communications.
enhancing the role of . The possibility of high quality communication from anywhere in the world to anywhere else at low costs has led to a marked decline in face-to-face communications and to an increased reliance on verbal and written communication over electronic mediums.
Business is in Constant Change For businesses to succeed they have to change with the times. New techniques, procedures, tools, demands, circumstances all contribute to the state of business evolution.
How machine learning is changing the face of business communication Machine learning is on the verge of seriously impacting workplace communications. enhancing the role of the employee within an organisation People will always be a brand’s most valuable asset – collaborating, being creative, and defining the big ideas.
Businesses are having much less face-to-face communication with customers as most communication is now being conducted online. Related: Speed Up Production Using Communication Structures Business owners can make a small change, such as adding an instant chat functionality to their website, to put customers, especially .