Machine learning: How are its two types different?

The latest white papers, case studies and product information

Business Technology Research     March 27, 2018

IN THIS ISSUE Machine learning: How are its two types different? How to leverage transaction data to improve big data insights 7 critical success criteria for an architecture's scalability Comprehensive disaster recovery: Why cloud is the best choice How to create a successful CX

Machine learning: How are its two types different? SPONSORED BY: IBM Learn the differences between supervised and unsupervised machine learning, and how each can support your data scientists. Read More

How to leverage transaction data to improve big data insights SPONSORED BY: IBM In the following white paper, learn about the importance of transactional and non-transactional data and discover why they are mission-critical to big data initiatives. Read More

7 critical success criteria for an architecture's scalability SPONSORED BY: IBM Read this white paper for information integration success stories. Also, find critical success criteria for an architecture's scalability. Read More

Comprehensive disaster recovery: Why cloud is the best choice SPONSORED BY: Commvault In this white paper, you will learn more about the challenges organizations face with it comes to DR, and how the cloud can come to the rescue of your organization. Read on to find out how to securely store customer data in the public cloud while fending off security concerns. Read More

How to create a successful CX SPONSORED BY: Zendesk In this IDC paper, learn what it means to the overall organization to be a CX–focused organization, the impact, benefits, and challenges of pursuing a customer experience strategy, and examples of organizations that have effectively used tools to support service and contact center agents. Read More

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