Machine Learning Solutions for Digital Transformation

The global machine learning market will reach $20.83 billion by 2024, studies say. The CAGR for machine learning from 2018 to 2024 is predicted at an astonishing 42.8%. Such massive growth of machine learning solutions is not surprising. The massive success of machine learning algorithms being adopted by companies like Netflix, Amazon, Google, and many others have turned everyone’s eyes toward the modern machines.

Machine learning is transforming how organizations operate digitally today. Organizations are rapidly incorporating machine learning systems to increase efficiency, make employees more productive, and get better results. Machine learning consulting is now becoming a highly-prominent service offered by technology companies to help organizations install AI components in their system.

But if you are reading this article, there’s no need to sell you on the idea of machine learning services. You are probably familiar with its implementation and use cases. Image & pattern recognition, demand forecasting, data processing, recommendation engines, financial analysis are few of the widely known use cases of machine learning solutions. Your company might probably be using machine learning for predictive analytics to quantify your future growth.

Data science experts generally undertake machine learning development to enable organizations in making better sense of their data. The growing amount of data presents opportunities but has challenges of its own. Challenges like — what data to deal with, which are the right processes for machine learning programs, how will machine learning provide better results, and so on.

In this article, we will explore one of the most significant yet unnoticed challenges — what is the right mix of the team for machine learning programs and AI implementation across the organization? Before we dive into the exact roles of every ML installation, let’s look at why it is important to have the right team on board for machine learning.

The Importance of Right Machine Learning Experts for your Enterprise

Hiring the right machine learning programmers is essential for robust implementation. 34% of organizations that have implemented machine learning say that organizational alignment and senior management buy-in is one of the most challenging factors. Due to this misalignment, teams have to hire substandard experts who can work bureaucratically without making a big dent through machine learning programs.

But times are changing, and the senior management is getting a hold on the importance of artificial intelligence in their organizations. In 2018, there were 17% of companies that had machine learning models into production, which increased to 20% by 2020. As enterprises understand what machine learning can do for them, they are hiring the right machine learning experts who can drive innovation in processes through machine learning and artificial intelligence solutions.

Here are a few reasons which showcase why it is important to hire the right mix of talent for incorporating machine learning development:-

The Right Machine Learning Experts for Building Applications

Now that you understand why it is important to hire the right mix of talent, you can dive deeper into whom to hire for machine learning projects. Whether you are a machine learning company or an enterprise who wants to hire machine learning developers, the right talent can make a world of difference in your implementation.

Assembling the right machine learning experts is not an easy task. If you conduct proper research, you don’t have to depend on the traditional hit and trial method. We have gathered a few roles that are crucial to machine learning implementation in your organization.

Hire the right Machine Learning Experts for Project Success

You cannot hire substandard developers and expect world-class results. You also cannot hire the right people without restructuring the workflow. It is necessary to generate harmony between machine learning experts and the structure of the machine learning programs they would be working with.

A lot of energy is spent on hiring data scientists for the project. While they are important, they can’t operate without the right strategist, analysts or engineers. The efforts of these roles are not clearly visible with respect to the data scientists.

Before you enter any machine learning project, gathering the right talent is essential for ensuring the success of your project. Machine learning services are in high-demand as enterprises seek to adapt it for enhancing their growth.

BoTree Technologies provides high-end machine learning solutions to assist your organization with digital transformation.

At BoTree Technologies, we build enterprise applications with our 10+ expert ML developers.

Originally published at on June 15, 2020.

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