CA Technologies is used to classify information from text such as emails, chats, documents and even tweets. This gives companies the ability to do many important things.
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With Machine Learning, email programs classify an email as spam based on the content in the email.
This method can be used to classify if the opinion expressed by the writer is positive, neutral or negative.
The system is taught to extract a particular piece of information such as keywords, addresses, names etc.
CA Technologies algorithms learn to identify a certain image as a written character and transform a scanned text document into a digital file. Machine Learning algorithms automatically detect faces or specified objects in a photo based on the photos that you manually tag.
Sales and account managers can get alerts from the algorithms about specific customers or deals that are at risk. Machine Learning gives management actionable, real-time insights about their customers and vendors.
Predictive analysis is playing an important role in HR departments today. Machine Learning models are being deployed to identify and recruit employees and also to make existing employees work more efficient
Marketing campaigns can be personalized with Machine Learning to meet the needs of prospective customers. Customers can be given special offers based on their previous buying patterns.
The existing financial systems show historical financial transactions. But applications using Machine Learning show future opportunities and how to get more profits out of existing systems.
More and more companies are moving their data facilities in the cloud which is enabling these companies to be move agile in their capabilities to gain market edge and to do a more real-time analysis of their business processes for better decision making. Cloud is bringing much needed elasticity and flexibility to these companies data operation.
CA Technologies can help to achieve such capabilities for you.
We work with all the major database platforms and cloud providers. We can help you to expand your existing data and BI work-loads to the Cloud which can bring flexibility and agility to your data organization. Move your In-house BI Completely to the cloud which can your In-house Technology footprints and deliver significant savings. You can expand your BI architecture by linking Big Data And BI platform in the cloud to create more comprehensive data lake.