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MLOps and the evolution of data science

IBM Big Data Hub

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

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Interview With a Crypto Scam Investment Spammer

Krebs on Security

pw has been registered and abandoned by several parties since 2014, but the most recent registration data available through DomainTools.com shows it was registered in March 2020 to someone in Krasnodar, Russia with the email address edgard011012@gmail.com. A DIRECT QUOT The domain quot[.]pw

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Smarter, cleaner, faster: AWS + Collibra help government make better decisions

Collibra

From budgets to policy proposals, the risk that the government not only makes bad decisions but that it doesn’t have the data capabilities to make good ones is real. So it’s not surprising that 87% of government agencies consider data among their “greatest strategic assets.” Today, more than 7500 government agencies use AWS.

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Duo Security created open tools and techniques to identify large Twitter botnet

Security Affairs

“This paper details the techniques and tools we created to both build a large dataset containing millions of public Twitter profiles and content, as well as to analyze the dataset looking for automated accounts.” ” reads the research paper published by Duo Security. Less than 5% of Twitter accounts are spam-related.”.

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Data Analytics and Human Heuristics: How to Avoid Making Poor Decisions

Bill Schmarzo - Dell EMC

I discussed the “hot hand” concept, and its flaw, at a TDWI (The Data Warehouse Institute) conference many years ago. Given how much I love Michael Lewis’ work (his book “ Moneyball ” is still my favorite data science introduction book), I couldn’t wait to dive into this one! The model is descriptive.

Analytics 111
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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

This includes defining the product scope of the DT journey and the digital products and services that will deliver transformative change for a new future. Part 3 will discuss how to manage the various DT risks. One essential step is developing the DT business case and connecting it with the critical success factors (CSFs) and the product scope.

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Creating and nourishing a DevOps culture: key takeaways for agencies

CGI

Digital transformation is forcing a rethinking of business process simplification, data science is taking on a new importance with a push for data-driven insights, and federal CIOs are learning how to wield new authorities effectively to meet the accompanying new levels of accountability. ravi.kumarv@cgi.com. Add new comment.