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Enhancing data security and compliance in the XaaS Era 

IBM Journey to AI blog

However, IT decision makers remain concerned about the risks associated with their digital infrastructure and the impact they might have on business outcomes, with data breaches and security concerns being the biggest threats. Automation for efficiency and security Data is central to all AI applications.

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80% of AI decision makers are worried about data privacy and security

AI News

This is according to a study conducted in early 2024 by Coleman Parkes Research and sponsored by data analytics firm SAS, which surveyed 300 US GenAI strategy or data analytics decision makers to pulse check major areas of investment and the hurdles organisations are facing. Moreover, 93% of U.S.

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Data Security in the AI Era | Expert Opinion

Analytics Vidhya

.” – Ajoy Singh, COO and Head of AI, Fractal Analytics With the increasing use of generative AI, the importance of data security on these platforms has become a growing concern.

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Essential Practices for Adtech Companies to Uphold Data Security Standards

Unite.AI

With the constant evolution of advertising practices, AdTech companies are taking on a progressively significant role in utilizing user data to drive targeted advertising campaigns. On one hand, they have access to vast amounts of data that can drive personalized advertising experiences and improve campaign effectiveness.

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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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What is Data Security? |Threats, Risks and Solutions 

Analytics Vidhya

Data security is a critical concern for individuals, organizations, and governments as cyber attacks continue to rise in frequency and severity. These alarming numbers underscore the need for robust data security measures to protect sensitive information such as personal data, […] The post What is Data Security?

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Putting data storage at the forefront of cloud security

IBM Journey to AI blog

Recent advances in areas like AI and quantum computing offer transformative potential for businesses, but may also bring new risks and security challenges. IBM is working to address these challenges and evolving threats by helping organizations support highly secure, resilient and durable storage through technology like Cloud Object Storage.

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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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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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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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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. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.