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Arghya Das

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Technology

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In today's digital world, trust is key to customer relationships, but keeping it is a huge challenge. Customers are well-informed and empowered, quick to change brands if their trust is broken, even if it costs them more. This puts a lot of pressure on organizations to handle trust and safety issues with great care and transparency. The challenge, however, is real. Fragmented solutions have left privacy, legal, and security teams in a perpetual cycle of catch-up, struggling to update privacy notices, manage customer data rights, and answer lengthy security questionnaires—all while trying to prove ROI to the business. It's a thankless job, filled with repetition, tedious tasks, and constant interdepartmental coordination. Combine this with fast regulatory changes and the quick evolution of AI, and it becomes overwhelming. Join this webinar to learn more about TrustArc's new innovative solution Trust Center, the only unified, no-code online hub for trust and safety information built for privacy, security, compliance, and legal teams. Trust Center streamlines your path to compliance, shortens the pre-sales cycle, and reduces both legal and regulatory risks, saving time, effort, and cost. This webinar will review: - Why companies are building unified Trust Centers for a robust privacy program. - How unified Trust Centers streamline sales cycles, ensure regulatory compliance, and reduce operational bottlenecks. - How compliance, legal, security, GRC, and privacy teams benefit from a unified Trust Center in terms of needs, pains, and outcomes. - How TrustArc Trust Center saves time and work while reducing legal, reputational, and compliance risk by effectively managing policies, notices, terms, and disclosures, and providing real-time updates on subprocessors.

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Generative AI refers to a class of machine learning algorithms that are designed to generate new data samples that are similar to those in the training data. Unlike traditional AI models that are trained to recognize patterns and make predictions, generative AI models have the ability to create entirely new data based on the patterns they have learned. This is achieved through techniques such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer architectures, among others.

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Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

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In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method. We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy. Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations. Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today. Join us to discover how Zero-ETL can elevate your organization's data strategy.

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