Today, the power of data is well known. We listen to news such as big data every day, but is it worth talking about data? Is data changing the way we manage companies?

The most important thing to achieve is that the services we provide, the products we sell, and the data we manage are only the process by which we reach our company and market goals. However, many companies conduct business without hiring talented human resources or even teams.

This is not a small problem. Many existing global competitors and innovation competitions in technology fields force us to lead or become part of a very special team.

What is needed is a synchronization, focus, and most importantly, an efficient team that can adapt to its work, workflow and goals faster (or faster) than today's rapidly changing market.

This is why the goals that startups must achieve must be very clear, well-defined and can be changed at any time. Does this mean that only high-quality talents can be a good choice for entrepreneurial teams? of course not.

For an excellent team, the most important criterion need not even be humans.

Team members are performing fewer and fewer tasks. It focuses more and more on management, coordination and finding the right way to achieve goals. Now, there are new "team members" who can perform tasks with higher performance than humans.

These are technical team members whose functions are similar to machine learning. Good machine learning algorithms can be used for data research and start-up service and process observation. It is the perfect partner to create incredible value for customers and internal organizations.

This partnership can greatly improve startup performance, learn how to automate processes and how to use each information flow to create added value and generate new revenue.

Remember, machine learning is not only a useful tool, it's also a new team member with no salary that can operate 24/7 in a startup.

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