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You Don’t Need a PHD to Be a Data Scientist

In this special guest feature, Head of Data Science Operations, Amy Sharif, at Decision Intelligence company Peak, offers her thoughts on how hiring a diverse group of teammates is critical, especially in 2022, when collaboration, creativity and business smarts are all essential components of a quality data scientist.

There’s no AI in Identity — Yet

In this special guest feature, Jackson Shaw, CSO, Clear Skye, discusses why it’s still early days for artificially intelligent identity management. The article explores what needs to happen in order for businesses to start realizing the value of AI and what is possible for the future of identity management when backed by real deep learning technology.

Benefits of Automation for Enterprise Data Management

In this article we’ll take a look at how’s and why’s that organizations from many industries are jumping on the automation for data management movement. It’s important that stakeholders understand how well automation performs repetitive data management responsibilities, what tasks still require a human in the loop, and how to evaluate data management automation capabilities.

Impact of Data in the E-Commerce Industry

In this contributed article, Raphaël Menesclou, Head of Marketing & Growth at DataHawk, discusses how data puts your business on the front lines with consumers, giving you a better understanding of their online behavior through the foresight of patterns, trends and personalization so your products will stand out in the saturated markets of today.

Maximizing Data Lake Utility with Query Optimization 

In this contributed article, editorial consultant Jelani Harper highlights the recent acquisition of Varada by Starburst in terms how the deal provides Starburst’s platform two pivotal benefits. On the one hand, it employs cognitive computing to intelligently index data at scale. On the other, it has caching capabilities that make queries even more responsive for swiftly retrieving answers for informed decision-making, analytics, and applications.

Big Conversational Data Delivers More Helpful and Human Engagements Between Bots, Customers

In this special guest feature, Andrew Hamel, EVP, Technology, Operations and AI, LivePerson, discusses the connection between big data and human engagement, specifically ways big conversational data delivers more authentic, human engagements between bots and customers.

What Does It Mean to be Data Intentional?

In this contributed article, Kevin Harbauer, Chief Technology Officer at Ephesoft, discusses becoming data intentional, sets the stage for why this concept is important and offers four strategies to achieve it. The success of your data intentionality strategy hinges on the effectiveness of your data capture capabilities. Without access to accurate, timely and actionable data, your organization’s plans will fall well short of expectations. Are you ready to become data intentional? 

Data and Automation — The Answers to Protecting Profit Margins and Realizing New Growth

In this contributed article, Dash Bibhudatta, General Manager, Deductions for Inmar, discusses the CPG space from extraction, validation, and recovery, to delivering insights to inform prevention, opportunities for improvement, and retailer relationships — introducing data and automation to deductions management should be a no-brainer.

With Chips Scarce, Now is the Time for a Data Management Redo

In this special guest feature, Nathan Wilson, Channel Marketing Manager at Redstor, outlines why the current chip shortage presents a great time to review your data management strategy. There are several key challenges to keep in mind when it comes to hardware-based data management and protection.

Reforming Prior Authorization with AI and Machine Learning

In this contributed article, Niall O’Connor, CTO at Cohere Health, discusses how the application of AI and ML to the onerous prior authorization (PA) process can relieve both physicians and health plans of the repetitive, manual administrative work involved in submitting and reviewing these requests. Most importantly, these intelligent technologies transform PA from a largely bureaucratic exercise into a process that is capable of ensuring that patients receive the highest quality of care, as quickly and painlessly as possible.