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

Security Affairs

“By applying a methodical data science approach to analyzing our dataset, we were able to build a classifier that effectively finds bots at a large scale.” Practical data science techniques can be used to create a classifier that could help researchers in finding automated Twitter accounts.

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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.

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Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

IBM Big Data Hub

To learn more about how Innocens BV is putting data and AI to work, visit the case study and short documentary film here. The impact of the Innocens technology is being investigated in clinical trials and is not yet commercially available.

Risk 52
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Wednesday LTNY 2020 Sessions: eDiscovery Trends

eDiscovery Daily

The wave that brought us the chief information officer a few years ago is now creating opportunities for new roles such as data privacy officer, chief information security officer, data science attorney, and chief transformation officer.

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Truth, Lies & Videotape: Digital Video Archivists Gather at MoMA

Archives Blogs

Through a combination of case studies, key notes, and panels, DAS examines the full lifecycle of digital content. Levine from HBO and metadata architect Sally Hubbard explored the relationship between information science and data science in “ Smart Stacking of Data and Information Science.”

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Connected Customer 360 Profiles for Retail & Luxury Brands

Reltio

As a result, they use connected customer 360 profiles to power analytics and data science initiatives to get deeper insights about their customers in-the-moment to fuel their innovation roadmap with differentiated products, services and digital experiences. Then add actionable insights from analytics or data science.

Retail 78
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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Uber chose Presto for the flexibility it provides with compute separated from data storage. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries.