Remove Analytics Remove Data Collection Remove Data Science Remove Internet of Things
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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link]. Industry 4.0

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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

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Big Data Trends That Are Disrupting Management Maintenance

Smart Data Collective

Such technologies include Digital Twin tools, Internet of Things, predictive maintenance, Big Data, and artificial intelligence. Asset data collection. Data has become a crucial organizational asset. Additionally, data collection becomes a costly process. Below are some of these trends.

Big Data 137
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient. One type of implementation of a content strategy that is specific to data collections are data catalogs. Data catalogs are very useful and important.

Strategy 267
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Shocking Amount of Data

Rocket-Powered Data Science

. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. All those data represent the most critical and valuable strategic assets of modern organizations that are undergoing digital disruption and digital transformation.

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11 dark secrets of data management

CIO Business Intelligence

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.