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Behavioral Analytics in Cybersecurity: Does It Work as Advertised?

eSecurity Planet

One such solution is behavioral analytics, more specifically User and Entity Behavior Analytics (UEBA). Moreover, what about other behavioral analytics methods in cybersecurity? Check Out Best User and Entity Behavior Analytics (UEBA) Tools for 2022. What Is Behavioral Analytics? How much good can those accomplish?

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Discover a unified approach to adaptive data and analytics governance

Collibra

Nearly 80% of IT decision-makers agree that the collection and analytics of data has the potential to fundamentally change the way their company does business in the next 1 – 3 years. . > See how adaptive data and analytics governance can help. Why adaptive data and analytics governance. Get the ebook.

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Past, present and future in a digital transformation journey

OpenText Information Management

According to Gartner, a digital transformation includes information technology modernization, adoption of cloud computing, … The post Past, present and future in a digital transformation journey appeared first on OpenText Blogs. The objective is often tied to cost leadership, increased competitiveness or simply moving into a niche.

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Accelerating your transition from traditional BI to advanced analytics with data intelligence

Collibra

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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Data virtualization unifies data for seamless AI and analytics

IBM Big Data Hub

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. This serves as a single point of reference for analytics, reporting and data-based decisions, resulting in increased accuracy and quicker generation of valuable insights.

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Equipping threat hunters: Advanced analytics and AI part 1

OpenText Information Management

LLMs offer significant potential in cybersecurity, particularly as natural language interfaces between threat hunters and analytics systems. Finally, LLMs can serve as a user-friendly interface, effectively presenting the combined insights from both rules and models to threat hunters, facilitating more accurate and actionable threat analysis.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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The Essential Guide to Building Analytic Applications

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics? What should product managers keep in mind when adding an analytics project to their roadmap?

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.