What is the Business Value of Machine Learning?
Machine learning (ML) is one of the divisions of artificial intelligence (AI), which focuses on assessing and interpreting patterns and structures in data to allow learning, reasoning, and decision-making outside of human interaction. Although AI and ML are not the same thing, they are closely connected. Artificial intelligence covers various specific approaches and algorithms, while machine learning sits under that umbrella, as well as other significant subfields such as robotics, deep learning, and natural language processing. This article informs readers of the importance of machine learning in companies.
How Does Machine Learning Function?
Simply put, machine learning lets the user provide a computer algorithm with a significant amount of data and have the computer examine and create recommendations and decisions based on the data. If any corrections are identified, the algorithm can combine that data to enhance future decision-making. Machine learning has three parts:
- The computational algorithm makes determinations
- Variables and features make up the decision
- Base knowledge for which the answer is known that trains the system to learn
Importance of Machine Learning
Data is the foundation of all business. Data-driven decisions significantly distinguish between failing behind or keeping up with competition. In addition, machine learning can be essential to unlocking the value of corporate and customer data. It also enacts decisions that keep a business ahead of the competition.
Systems Strategies & Analysis (SSA, Inc.) collaborates with our customers to plan and apply IT solutions based on their requirements and industry best practices to provide customer-focused, quality support. Our expertise includes artificial intelligence & machine learning, among other areas. Call us today at 240-813-4427 for any questions or information.
Who Benefits from Machine Learning?
AI advancements for applications such as computer vision or natural language processing help industries like healthcare, automotive, and financial services accelerate innovation, enhance customer experience, and minimize costs. Moreover, machine learning has applications in all industry types, including healthcare, manufacturing, energy, utilities, travel and hospitality, and retail. For example:
- Manufacturing uses machine learning for condition monitoring and predictive maintenance
- The energy industry uses machine learning for energy demand and supply optimization
- For financial services, machine learning helps with risk analytics and regulation
Contact SSA, Inc. Today for Systems Engineering Consulting Services
If you have any questions regarding our systems engineering consulting services, contact Systems Strategies & Analysis today. Fromย program/project management servicesย to Model-Based Systems Engineering (MBSE)/Model Based Engineering (MBE) training, our team has the skills and expertise to quickly design, build, integrate, and operate software-intensive, enterprise-wide systems. We provide every client with comprehensive solutions to satisfy their unique goals. Contact SSA, Inc. by calling our support team atย (240)813-4427ย orย sending us a messageย via our website. Follow us onย LinkedIn,ย Facebook, andย Pinterestย for company news and updates.
