The machine learning market has grown from 1.03 billion USD in 2008 to an anticipated 8.81 billion in 2022. This progress can be attributed to machine learning’s power to boost companies’ sales and customer retention without expending additional human resources.

The challenges of maintaining a business’s profitability in today’s economic climate are far-reaching. Organizations the world over are leveraging machine learning services to fuel their businesses, scale their growth and achieve the desired return on investment(ROI).

What Does a Machine Learning Consultant Do?

Machine learning itself is a subset of artificial intelligence (AI) that focuses on creating systems that learn or improve performance based on the data they consume.

A machine learning consultant, therefore, is a person or organization that offers machine learning services. These professionals painstakingly handle all projects with a high level of diligence and professionalism to ensure their clients get the desired solutions that surpass the expectations of their business goals.

Top 8 Ways a Machine Learning Consultant Can Help Your Business

There are many ways a machine learning consultant can help your business access its full potential.

  1. Improve Efficiency

A machine learning consultant develops machine learning solutions that increase productivity and optimize efficiency by automating tedious business processes like compiling data, organizing information and reporting trends to grow a business.

  1. Reduce Downtime

Time is a very important resource to any business. A machine learning consultant builds systems to analyze and predict relevant information to guarantee regular maintenance and proactive failure detection in business operations management for maximum productivity.

Machine learning also allows businesses to reduce downtime through predictive maintenance. Rather than waiting for a costly system failure, predictive maintenance uses historical and real-time data on the actual condition of the system in order to provide targeted maintenance recommendations. 

  1. Cut Costs

AI is an effective technique to cut business costs. For example, chatbots can answer customers’ inquiries 24/7, directing them to areas of the company site that answer frequently asked questions. Chatbots cut costs because they allow customer service representatives to focus on critical problems.

AI technology also cuts costs in the hiring process by scanning resumes for relevant keywords, providing company decision makers with a streamlined pool of candidates who will best fit the work requirements of a company’s hiring needs.

Machine learning reduces costs related to security threats as well. By learning common patterns in software or app use, AI can flag behavior that is out of the normal metrics as potentially fraudulent.

  1. Better Customer Service

AI tools detect patterns in customers’ questions and site use. This invaluable information alerts a business to their customers’ needs, allowing the business to better tailor their services for an improved user experience (UX).

Machine learning tools can also analyze user data to understand a customer’s intent when navigating a company’s website. By understanding customer intent, a business can ensure they have intentionally designed their website to clearly direct customers to information they are seeking.

  1. Predict Market Direction Trends

AI machines can be leveraged to predict where the market is headed and even determine who the market movers are. This feat helps businesses have a clear picture of where they can invest more resources in order to take advantage of the market direction.

  1. Improved Personalization

Machine learning and AI automation allow decision makers to spend their marketing budgets in smarter ways.

From Google to Facebook, the concept of AI-driven targeted marketing brings a huge advantage to businesses since products and services are easily mapped to users based on interest as a result of their historical search data and online behaviors.

  1. Gauging Risk More Effectively

Based on the rich data reserves collected and analyzed by a machine learning system, business risk can easily be identified, analyzed, escalated and monitored by the system to protect a company’s investment. Machine learning has enhanced accurate credit risk models and fraudulent payment signs that can decrease risk across all business industries.

  1. Recommending the Right Product

When it comes to product recommendation in sales and marketing strategies, machine learning plays a pivotal role. Whether you are looking at upselling or cross-selling, the results are always awesome deploying machine learning to automate the process.

Machine learning developers can build a program that will identify hidden patterns among the items and then group similar products into clusters, thereby helping a company make product recommendations to their customers.

Systematic’s Quality-Focused Machine Learning Consultants

Systematic Consulting Group is a leading software development company with machine learning consultants who help organizations unlock the hidden potential of data to quickly drive tangible business results.

Given our experience and track record in the area of machine learning consulting, we stand out as a dependable organization with data scientists who can give your business a tangible action plan to leverage your data.

At Systematic Consulting Group, we built the foundation of our business on quality product and service delivery because we understand that quality work speaks even when we are not there to speak for ourselves. We want our clients to be satisfied. Therefore, we firmly adhere to several quality principles in our maching learning services.

Experienced Employees

Right from our recruitment process, we are detailed and take painstaking care to ensure the most capable, qualified hands make up our development team.

Regular Team Training

Since technology changes regularly, we keep upgrading the skills of our team to keep up with the innovation demands of advancements in technology.

Approved Project Standards

In any project where standards and regulations are not strictly followed are unlikely to deliver expected value and results. At Systematic Consulting Group, we think and breathe quality assurance standards into all our projects, which is one of many reasons our clients prefer our services.

Thorough Design Metrics

Before we formalize what the machine learning system will do, we track as much data as possible in the current system.

We do this for the following reasons:

  • It is easier to gain permission from the system’s users early on.
  • If something might be a concern in the future, it is better to get historical data at the beginning of a project.
  • When developers design your system with metric instrumentation in mind, future performance is improved.

Our Service Offerings

  • Predictive Analytics
  • Machine Learning Consulting
  • Data Analytics
  • Neural Networks
  • Data Modeling Services
  • ML Algorithms
  • Data Warehouse Consulting
  • Custom Machine Learning
  • Data Migration Services
  • AI Solutions
  • Data Discovery, Analysis & Interpretation
  • Natural Language Processing
  • Data Visualization Services
  • Internet of Things (IoT) Consulting
  • Digital Strategy

Let Machine Learning Write the Next Chapter of Your Business Growth

As you can see, machine learning can improve far-reaching areas of any company. Whether you are looking to save precious resources such as employees’ time and business costs, to improve customer relations through improved user experiences and targeted assistance, or to minimize risk and improve data security, machine learning can be the solution to the multi-faceted problems that business decision makers face on a daily basis.

Let’s talk for consultation and support on your next project.