Mediaboss Marketing

Machine learning is becoming the go-to solution for greater automation and intelligence. A recent study fielded amongst the subscribers of DBTA found that 48% currently have machine learning initiatives underway with another 20% considering adoption. At the same time, most projects are still in the early phases.

DBTA recently held a roundtable webinar with Gaurav Deshpande, VP of marketing, TigerGraph; Santiago Giraldo, director of product marketing data engineering and machine learning, Cloudera; and Paige Roberts, open source relations manager, Vertica, who discussed key technologies and strategies for maximizing machine learnings impact.

Advanced analytics and machine learning on connected data allows organizations to connect all data sets and pipelines, analyze that connected data, and learn from that connected data, Deshpande explained.

TigerGraph is a scalable graph database for the enterprise that is foundational for AI and ML solutions, he said. It offers flexible schema, high performance for complex transactions, and high performance for deep analytics.

The success of machine learning adoption is intertwined, collaboration is critical, said Giraldo. It requires an enterprise data platform that streamlines the full data lifecycle.

Machine learning with Cloudera provides customers with a hybrid platform across multiple clouds and data centers. Cloudera is one of the only offerings with integrated experiences with SDX backed security and governance, said Giraldo. It enables collaborative and integrated BI and augmentation from expert data scientists to data analysts.

Applications and services that enable our data-driven world use both BI and data science, according to Roberts.

When choosing the best platform that includes machine learning, she suggests not committing to only open source, only proprietary, or only one brand.

Dont lock yourself in to only one deployment optionsolution only works on-prem, only works on cloud, or only works on this cloud, Roberts said.

Users should not tightly couple componentseverything should be interchangeable, Roberts said. Switching out one component shouldnt break everything. And plan for the future, dont get locked in, she said.

An archived on-demand replay of this webinar is available here.

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Experts Talk Machine Learning Best Practices for Database Management - Database Trends and Applications