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Webinar: How to Use External Consumer Insights and Marketing Data to Build a Customer-centric Business

[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a discussion with thought leaders from companies such as Acxiom and BlastPoint. They will share how organizations from big box retailers to automotive brands are using consumer insights data to reach new customers, drive real business change, and increase longevity. MON, SEPTEMBER 27 at 11AM PT | 2PM ET

Instaclustr Including PostgreSQL in Managed Data Platform – Now in Public Preview

Instaclustr, delivering reliability at scale through its fully managed platform for open source data technologies, announced the addition of PostgreSQL to its Managed Platform, now available in public preview for Instaclustr customers. Managed PostgreSQL offers complete database management and optimization, along with comprehensive support and monitoring backed by Instaclustr’s team of PostgreSQL experts.

Earning Customer Loyalty with AI-empowered Contact Centers

In this contributed article, Umesh Sachdev, Co-founder and CEO of Uniphore, discusses how to earn customer loyalty with AI-empowered contact centers. A combination of AI, ML, RPA, and automation has enabled enterprises to deliver the ideal balance between human and machine response and convenience, all while reducing business costs and improving performance.

The Next Wave of Cognitive Analytics: Graph Aware Machine Learning

In this contributed article, editorial consultant Jelani Harper discusses a number of compelling and timely topics including manifold learning, graph embeddings, and cognitive computing.

Keys to a Successful AI Program Launch

In this special guest feature, Jerry Kurtz, EVP of Insights & Data at Capgemini North America, discusses how laying the right foundation early is essential to scale AI programs in the long-term. He provides some key examples of important areas AI leaders should prioritize when kicking off their AI programs to ensure they are positioned to scale in the future.

Oracle to PostgreSQL? 6 Reasons to Make Your Open Source Migration

In this sponsored post, Kirk Roybal, PostgreSQL Database Reliability Engineer at Instaclustr, outlines how Postgres offers some especially enticing advantages for enterprises looking to trim (if not downright slash) costs without impacting database performance. Here’s a half-dozen reasons enterprises should consider the fully open source version of Postgres as a more-than-capable Oracle replacement.

Why Even Marketers Should Understand the Value of Machine Learning

In this contributed article, Dr. Peter Day, Chief Technology Officer at Quantcast, discusses how leading marketers are making use of widely available machine learning and AI-powered solutions that can do the hard work of spotting signals in the noise. In doing so, they are elevating the quality of their decision making and driving better results.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – August 2021

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

The One Thing You Don’t Want to Leave Behind on Your Digital Transformation Journey: Your Data

In this special guest feature, Kevin Campbell, CEO of Syniti, argues that digital transformation is data transformation, and for enterprises to have a successful digital transformation, their data transformation must be a priority. Through trust and assurance of data, organizations will set themselves up for more efficient business outcomes, strategic planning, and positive returns.

Competitive Tech Companies Lead with Culture to Land Top Talent

In this contributed article, Danielle Jones, Director of Service Operations with Insperity, discusses how competing for high-caliber talent is one of the biggest challenges faced by tech companies of all sizes. With a strategy to prioritize company culture and cultivate a meaningful and positive employee experience, small and midsized data companies can get a head start when it comes to competing with their Big Tech counterparts.