Successful businesses are looking to scale their speed of business with Machine Learning (ML). From engineering to operations, ML has proven to increase efficiency and boost profits. Yet for many organizations, ML initiatives are exclusively driven by small development teams with limited, priority-based resources. Attend this session to learn why you don’t have to rely on experts to leverage the power of ML. Step through a few ML use cases in telecom, learn some tips and techniques to overcome formidable obstacles, as well as some common tools to get started.
What You’ll Learn:
• Why ML for the common telecom professional makes a lot of sense for business
• Challenges with ML and how to overcome them
• What types of projects make good ML projects
• How to distinguish between ML, Deep Learning, and Artificial Intelligence