Putting Machine Learning to Work in Your Enterprise. Por TDWI.org - Seguridad Mania.com - España y América Latina

Everyone is talking about machine learning—software that can learn without being explicitly programmed, machine learning (and deep learning) can access, analyze, and find patterns in big data in a way that is beyond human capabilities. The technology is being used in a wide range of industries for use cases including fraud prevention, predicting crop yields, preventing and mitigating natural disasters, predictive maintenance of enterprise assets, and improving supply chain efficiencies.

The concept of machine learning is not new; in fact, some machine learning algorithms have been around for decades, and machine learning algorithms are often used in predictive analytics. What’s new is that organizations are using machine learning against large-scale data, and they are automating and operationalizing machine learning in business systems.

So, what does it take to make machine learning work in an enterprise? What features are needed and how do organizations get started? Join TDWI Research VP Fern Halper for a lively conversation with Mike Gualtieri from Forrester Research and experts from SAP to learn more about deploying enterprise-level machine learning.

You will learn:

-What are the market trends to watch in enterprise machine learning?

-What capabilities do you need for enterprise-scale machine learning?

-How is machine learning utilized in-database and in-place?

-What best practices are recommended for getting started?