Machine Learning: What’s In Store For 2021?
There’s no doubt that AI and Machine learning will be the most crucial technology sofware this 2021. Machine Learning has changed the ways of business operations nowadays. It has become one of the top tech trends in recent months and is now being widely applied to businesses.
“In 2021, we will see the impacts of AI on today’s enterprise via pervasive intelligence. This will have significant effects on how companies approach
enterprise automation as well as their basis for the growth strategy.”
–Peter Reinhardt, the CEO and co-founder of Segment
So, why is machine learning important?
Data is the lifeline of all businesses. Data-driven decisions increasingly make the difference between surviving during a crisis and keeping up with the competition or falling further behind. Machine learning is a technology taking in immense amounts of data and solving for the best outcome. Machine learning can be the key to unlocking the value of a business and consumer data and enacting decisions that help a company grow and succeed.
Find anomalies and outliers, forecast based on trends, and identify areas of interest in your data with Elastic Machine Learning.
Elasticsearch Machine Learning is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. To be specific, ElasticSearch ML does unsupervised learning time series analysis. Unsupervised machine learning with Elastic helps find patterns in data. It uses time series modeling to detect anomalies in your current data and forecast trends based on historical data. Simply put, machine learning allows the user to feed a computer algorithm a huge amount of data and have the computer analyze and provide data-driven recommendations.
Here’s a sample use case for Machine Learning.
Adobe is a very known creative software for its Photoshop, Illustrator, and Acrobat products, which are rolled into cloud service suites such as Creative Cloud, Document Cloud, and Experience Cloud. Adobe Stock and Adobe Sensei use elastic search and machine learning technology to support novel applications like multi-image similarity, semantic querying, face similarity, visual clustering, auto-tagging, and more.
Machine learning models work along with Elasticsearch as the data store in the background to make Adobe Stock search possible. They use machine learning to deeply learned representations and analyze similar groupings of data, images, and attributes. Overall, machine intelligence built into Adobe Stock results in an efficient and highly useful image search experience for users.
Machine learning is a booming technology because it benefits every type of
business across every industry. The applications are limitless. .