by Joseph Brady, Director of Business Development / AWS and Cloud Alliance Lead at Treehouse Software, Inc.
Wow! Machine Learning and Artificial Intelligence (AI) are not only being “disruptive” to the computing and business worlds, but the value proposition for Treehouse Software’s customer base (those with mainframe systems) who are moving large amounts of data to the Cloud can be profound. The dominant Cloud platform today is AWS, and they are making incredible leaps in making the most sophisticated AI tools available, literally at one’s fingertips. Never before has such powerful and useful technology been so easily available to so many.
We have lots of mission-critical data on our mainframe system, and we want take advantage of the latest in Machine Learning and AI too!
Treehouse Software is an AWS Technology Partner, and has been in the mainframe market space since 1982. We are here to help enterprise mainframe customers successfully move their data to the Cloud in order to utilize all of the most advanced Cloud services and tools available. Our tcVISION product can help customers replicate their mainframe data, in real-time and bi-directionally, between a vast array of source databases and many AWS Cloud technologies for analytics, global database deployment, forecasting, machine learning, security, storage, etc.
Take a look at some of the world-changing AWS Machine Learning and AI technologies that are available once your enterprise data is in the Cloud…
AWS is focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer. Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow to label and prepare your data, choose an algorithm, train the model, tune and optimize it for deployment, make predictions, and take action. Your models get to production faster with much less effort and lower cost.
Use your company’s data for time-series forecasting
Based on the same technology used at Amazon.com, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started. You only need to provide historical data, plus any additional data that you believe may impact your forecasts.
With Amazon Forecast, you can achieve forecasting accuracy levels that used to take months of engineering in as little as a few hours. You can import time series data and associated data into Amazon Forecast from your Amazon S3 database. From there, Amazon Forecast automatically loads your data, inspects it, and identifies the key attributes needed for forecasting.
Further reading: tcVISION Mainframe-to-AWS data replication is featured on the AWS Partner Network Blog…
AWS recently published a blog about tcVISION’s Mainframe-to-AWS data replication capabilities, including a technical overview, security, high availability, scalability, and a step-by-step example of the creation of tcVISION metadata and scripts for replicating mainframe Db2 z/OS data to Amazon Aurora. Read the blog here: AWS Partner Network (APN) Blog: Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software.
Contact Treehouse Software for a Demo Today…
No matter where you want your mainframe data to go – the cloud, open systems, or any LUW target – tcVISION from Treehouse Software is your answer.
Just fill out the Treehouse Software Product Demonstration Request Form and a Treehouse representative will contact you to set up a time for your online tcVISION demonstration.
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