Editor's Note: This post was originally published in February 2019 and has recently been updated and revised for accuracy and comprehensiveness.
Big data and machine learning will have an impact on your business this year, and for many years to come. From self-driving cars to online shopping recommendations, artificial intelligence systems like machine learning are reshaping the way industries use data. But are these new technologies realistic for every business? Learn how you can leverage big data and machine learning to gain a competitive edge in 2019 and beyond.
What is Big Data?
Big Data refers to extremely large data sets that can be analyzed to reveal patterns, trends and associations. Insights gleaned from
big data can lead to better decisions and strategic business moves.
What is Machine Learning?
Machine Learning is a method of data science and a branch of artificial intelligence (AI). Machine learning algorithms have been around for a long time, but the ability to apply machine learning to big data is a recent development.
Does your industry benefit from Machine Learning?
Most industries that work with large amounts of data recognize the value of machine learning technology. By gleaning insights
from big data in real time, organizations can work more efficiently, cut costs and gain a competitive edge.
What's ahead for Big Data and Machine Learning in 2019?
Organizations that invest in big data and machine learning initiatives in 2019 will face a new set of challenges, from handling large amounts of data to data security.
How can you prepare to implement Big Data and Machine Learning in your organization?
Implementation starts best with a plan. There are four key steps to any implementation according to Chron.
- Define a Strategy and Requirement
- Develop an Implementation Calendar
- Contingency Planning