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Why your privacy ecosystem is crucial in the age of GDPR

Intercom, Inc.

When the current EU data protection laws were introduced in 1995, they were governing an industry that had just launched Internet Explorer 1 and DVDs. Know your own systems. Pertinent to knowing your own systems is also tracking and reducing access to data that is not needed. Track and reduce access to data that is not needed.

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Are you ready to transform life sciences with intelligent apps? Five questions to help kickstart your AI journey

Modus Create

Do you have the right data infrastructure and governance in place? The AI innovation we're seeing from our clients in life sciences is due in part to the abundance of data available in the industry, and the myriad opportunities to improve upon complex, manual, expensive, and time-consuming processes. Here are five questions to ask.

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Decentralized Crypto Banking Solutions

The Product Coalition

From traditional banking to decentralized revolution For decades, traditional banks have held the reins of our financial systems. They have acted as intermediaries, controlling the flow of funds, verifying transactions, and governing our financial lives. Moreover, blockchain-based systems provide unparalleled transparency.

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Strategies to mitigate AI security and compliance risks

Modus Create

However, the rapid integration of AI usually overlooks critical security and compliance considerations, increasing the risk of financial losses and reputational damage due to unexpected AI behavior, security breaches, and regulatory violations. What are the top AI security and compliance concerns?

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5 Predictions for the Next Decade of Data Governance

Amplitude

In the last decade, data governance has undergone a transformation. At the same time, the sheer amount of data that became available in the Teams need to move fast in a competitive landscape, and they need the guidance of a data governance manager to maintain the data taxonomy.

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8 AI trends that will define product development in 2025 & beyond

Modus Create

Instead, they come from a rigorous review of five years of client work, 2024 sales inquiries, analyst insights, and industry offerings. Reinforcement learning will enable agentic AI systems to adapt and improve continuously. My predictions arent based on whats simply popular or making headlines.

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A Non-Technical Intro to Natural Language Processing (NLP) and its Applications

Product Management Lessons from the Trenches

To help get you thinking about whether NLP is right for your business, here are some example use cases where NLP adds value: Enhance Humans Navigation IVR systems: helping consumers get routed to the person or information they need without going through a brutal phone tree (Liberty Mutual, I’m looking at you!). Who uses it?