January, 2017

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is jus

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Causality in machine learning

The Unofficial Google Data Science Blog

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Many of the distinctions are due to culture and tooling, but there are also differences in thinking which run deeper.

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Why Regulating AI Is A Mistake

Bruno Aziza

In the next four years we will see an explosion of AI technology that further delivers on the promise of driverless cars, intelligent robots, and other societal and job-impacting advancements. The conversation needed is how to, or more precisely, how not to regulate AI.

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Useful Big Data: The Fastest Way

DSI Analytics

These days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even days. Of course, there are several flavors of Big Data, most of which fall into the categories of machine generated or customer journey data. There are also many ways to capture and use […]. The post Useful Big Data: The Fastest Way appeared first on DSI Analytics.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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There Is No “Privacy” When It Comes to Social Media

Jenny Sussin

You’d think after enough political and celebrity scandals this would be obvious to everyone, but alas it’s not. A social analytics vendor that I’ve spent time covering over the years had come under fire last year for what was being referred to as “citizen surveillance.” They’ve definitely suffered the consequences, but I still can’t help but be baffled that people don’t realize that what they’re sharing is on a public forum.

IT 40
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Reap The Benefits While Avoiding The Pitfalls: The Three Key Challenges That Could Derail Your AI Project

Martha Bennett

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

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Nutanix Continues to Deliver on the Promise of Invisible Infrastructure for Citrix Environments

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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Executives Report Measurable Results From Big Data, But Challenges Remain

Bruno Aziza

After a half decade of investment, and periods of trial and error, a near majority of business executives now report successful results from their Big Data investments.

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Customer lifetime value and the proliferation of misinformation on the internet

Data Science and Beyond

Suppose you work for a business that has paying customers. You want to know how much money your customers are likely to spend to inform decisions on customer acquisition and retention budgets. You’ve done a bit of research, and discovered that the figure you want to calculate is commonly called the customer lifetime value. You google the term, and end up on a page with ten results (and probably some ads).

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Reap The Benefits While Avoiding The Pitfalls: The Three Key Challenges That Could Derail Your AI Project

Martha Bennett

It’s been abundantly clear for a while that in 2017, artificial intelligence (AI) is going to be front and center of vendor marketing as well as enterprise interest. Not that AI is new – it’s been around for decades as a computer science discipline. What’s different now is that advances in technology have made it […].

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Making More with Citrix and Nutanix: A Guide for Channel Partners at Citrix Summit

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.