Data Science

Why Analysts Need Hands-On Access to Big Data: The Case for the Data-Native Approach

We’ve now gone down the road with big data and data lakes and the rise of AI and machine learning powered techniques long enough that it’s appropriate to take a step back and ask a few basic questions about what we’re trying to do and how we’re trying to do it. What’s interesting to me, […]

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Operational Intelligence for CITOs

Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through automation. Operational Intelligence refers to a new category of methods and technology for gaining visibility into business operations, discovering insights, and then rapidly taking effective action, frequently through […]

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Growing Your Own Data Scientists

CIOs and CTOs must learn to address a challenge, involving the divide between the people who know about the vast amount of new sources of data emanating from machines and other devices (“big data”) and the questions in the enterprise whose answers can be monetized. CIOs and CTOs must learn to address a challenge, involving […]

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How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part I

Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: Imagine that all your business apps were people, seated in an auditorium ready to hear a speech. Here’s what I would say to them about machine data: “Business […]

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Matt Calkins, CEO of Appian, Explains How Social Business + BPM + Mobile + Existing Apps = Worksocial

Early Adopter Research sat down with Matt Calkins, CEO of Appian, to discuss the convergence of social business, BPM, mobile, and existing applications to create a new concept called worksocial. In discussing this concept with Matt, Dan Woods, CEO and Founder of Early Adopter Research, was inspired to write a manifesto about “Completing the Social […]

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How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part II

How people can use a data fabric like Splunk to take machine data and use it to improve operational intelligence In the first article in this series, I explained what machine data is and how it can help business applications. In this article, I explain how people can use a data fabric like Splunk to […]

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Signal Hubs: The Next Generation of Machine-Learning

The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. There is a convergence taking place in cutting-edge applications: The massive firepower of big data processing systems to distill enormous amounts of data is being combined with real-time information. The next generation of applications won’t […]

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Creating a Vascular System for External Big Data

Start planning for a world where signals are harvested from external repositories through APIs with built-in analytics. It is time for CIOs and CTOs to start planning for a world in which signals are harvested from external repositories through distributed APIs that have intelligence and analytics built in. So, today I’m starting a mission to […]

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