Managing a Machine Learning Remote Agency – Why, How and What for? (update: 2022)

Every year the world becomes more and more convinced of the tangible value of artificial intelligence and the role of machine learning consulting. From the initial distrust and ridicule of computers, people have seen how AI has succeeded in outperforming Kasparov at chess, to uttering sentences that could fool people. These days, figures like Elon Musk are extrapolating theories straight out of science fiction, claiming that robots may even overtake humanity in the near future. Artificial intelligence has established itself as a significant force in the market, and it’s no wonder why so many companies are investing in it today. And if you still don’t do this, then you are missing out on great opportunities for the development of your business. Keep reading to know more about the role of a machine learning remote agency and its benefits!

The role of machine learning in today’s landscape

Machine learning is a powerful tool for corporations in every industry that can revolutionize the way of work.
Here are some advantages of machine learning that prove the effectiveness of ML adoption and the role of machine learning in business:

• Real-time predictions
• Trends identification
• Fully automation
• Multivariate data processing

Data-driven solutions increasingly determine the difference between keeping up with the competition or falling further behind. Therefore, machine learning has the great potential to unlock the value of corporate and consumer data and help companies to stay ahead of the competition by making better decisions.

As the importance of machine learning for business operations continues to grow, and artificial intelligence becomes more practical in corporate environments, the role of machine learning will only increase.

Of course, not everyone can afford to have their own team in place to effectively and successfully implement machine learning into the company’s processes. That’s why the popularity of hiring a machine learning remote agency has been on the rise. That’s why the role of machine learning in today’s landscape is so important.

Benefits of a machine learning remote agency

What are the advantages of a remote machine learning agency, you ask? Let’s dive inside. The proven fact is increased productivity. A Vodafone survey showed that:

• 75% of companies that have adopted a flexible work policy
• 83% of them reported improved productivity
• 61% of them said they brought more profit.

When you decide to hire a remote machine learning agency, location stops being a limitation, and thanks to this you have access to a much larger selection of professionals. You can easily hire someone from the other side of the world, but be aware of time zones. It can be a big obstacle in communication. Unless you are an inveterate night owl – then go ahead!

Another benefit of machine learning remote agencies is the lower cost of hiring. Hiring an individual AI specialist can be quite expensive as they often charge an hourly fee. Furthermore, if they are employees of your company, you may be required to pay them for the whole month, even if you use their services several times. It’s not very cost-effective.

Therefore, collaborating with a machine learning agency that meets your requirements and provides you with more comprehensive services at a lower price is a great option.

What to consider when choosing a machine learning agency?

Experience in machine learning based on portfolio and case studies

To choose a professional machine learning remote agency, you’ll have to look through many companies to find the most suitable one for you. First of all, it is worth studying the company’s portfolio and cases. It is useful to learn what exactly the company was working on, what solutions were implemented, and who were the clients of the company. Also, find out about the industries in which machine learning remote agency works. Each industry has its own specifics, so it is desirable that the ML agency has relevant experience in your industry.

Machine learning expertise and a variety of specialists

Machine learning includes a wide range of technologies and development methods. When looking for a machine learning solution provider for implementing technology in your business, make sure that engineers have experience working with a variety of programming languages and frameworks. Python, R (the two most common languages for writing machine learning algorithms), TensorFlow, PyTorch, Hadoop, PySpark, and others are among them.

Also, when it comes to the development team, make sure that development team includes data scientists and data engineers experts, as well as computer vision and speech recognition engineers.

Communication model

If you worked with a remote agency before, you know that communication is one of the most vital components of cooperation. Of course, there are communicators like Slack, Google Meets or Fuze that we rely on from day to day. Those are good for some light-hearted conversation and short exchanges.

Also, a good idea would be to have regular meetings over Google Hangouts or such, to emulate the normal climate of a workplace through some face-to-face conversation. It’s very important to make the environment of remote work resemble the conditions of normal day-to-day work to accommodate the new situation and have some routine that your workers can stick to.

Nevertheless, managing a remote agency, especially one for machine learning, requires you to set up some rules in place so that you can make sure everyone’s in agreement. Here’s a set of robust rules that will help you achieve it:

• To make sure your comms are in check, you need to clearly state your intentions and make sure you’re clearly understood every time. Excess to information is always better than the scarcity of it.
• When setting up online meetings, be careful of the timezones I mentioned earlier – be sure to set up a call at an hour that suits both parties. Compromises help you and your team to be on the same page.
• Regular reports from the agency are a good idea, but be careful not to go too hard on micromanagement. In this case, overdoing it will most likely yield a negative result.

Ready for cooperation with a machine learning remote agency?

The almost limitless amount of data available, the affordable data warehouse, the analysis of large and complicated data, and the identification of new opportunities and potential risks have pushed the role of machine learning to a new level. All the benefits of remote working are only amplified with an agency for Machine Learning and similar purposes. The advantages are clear – cost-efficiency, increased quality of life for both the worker and the manager, and better access to top-tier talent.

If you decide to go with this option, do be sure to message us – we’ll gladly work with you.