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Forget Firewalls: 6 OpenAI Security Measures for Advanced AI Infrastructure

Analytics Vidhya

Recognizing AI’s extensive influence, it’s crucial to emphasize the security of these advanced systems. Ensuring robust security measures allows stakeholders to fully leverage the benefits AI provides.

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Securing GenAI in the Enterprise

insideBIGDATA

Opaque Systems released a new whitepaper titled "Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives.

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Navigating Data Lake Challenges: Governance, Security, and GDPR Compliance

insideBIGDATA

The article discusses automation, security, pipelines and GSPR compliance issues. In this contributed article, Coral Trivedi, Product Manager at Fivetran, discusses how enterprises can get the most value from a data lake.

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Introducing the Databricks AI Security Framework (DASF)

databricks

We are excited to announce the release of the Databricks AI Security Framework (DASF) version 1.0 whitepaper! The framework is designed to improve.

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7 Questions Every App Team Should Ask

You’ll learn: The seven requirements to include in your analytics evaluation How enhancing your analytics can boost user satisfaction and revenue What sophisticated capabilities to consider, including predictive analytics, adaptive security and integrated workflows Download the white paper to learn about the seven questions every application team should (..)

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SAP security: An important component of cyber security

Dataconomy

This has led to a necessity for additional security measures to be implemented in online systems to protect businesses online. Having a rigorous SAP security strategy in place is important to control access to a business’s sensitive data and monitor the SAP environment for unusual activity and potential threats.

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The Synergy of AI and Cloud Transformation in the Payment Sector: Advancing Security, Scalability, and Innovation

insideBIGDATA

In the near future, the payment sector will probably welcome advanced technologies such as blockchain, biometric authentication, and AI-powered solutions, which will lead to transactions that will be more secure, rapid, and user-friendly.

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Embedded Analytics Insights for 2024

From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making

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The Essential Guide to Building Analytic Applications

What should software teams know about implementing security that works with the rest of their products? 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?

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The Essential Guide to Analytic Applications

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. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps.