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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

Innocens also involved doctors in the development process of building the user interface and respected the privacy and confidentiality of the anonymous historical patient data used to train the model within a robust data architecture.

Risk 52
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Wednesday LTNY 2020 Sessions: eDiscovery Trends

eDiscovery Daily

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. How do these data privacy laws impact social media & the IoT. A look ahead to the 2020 elections and its data privacy & protection challenges. and Mary (as in Mary Mack!),

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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

Innovative leadership teams recognize that their customer data is one of their most unique, differentiating and valuable assets. While the needs for customer data had grown exponentially, their legacy master data management (MDM) and IT environment was holding them back. Take a look at the table below. Digital Team.

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

IBM Big Data Hub

The magic behind Uber’s data-driven success Uber, the ride-hailing giant, is a household name worldwide. But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse.