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AWS re:Invent 2024: Next-Gen Innovations in AI, Cloud & Data

Analytics Vidhya

The AWS re:Invent 2024 event was packed with exciting updates in cloud computing, AI, and machine learning. AWS showed just how committed they are to helping developers, businesses, and startups thrive with cutting-edge tools.

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How to counter the most risky cloud computing threats?

Dataconomy

Security issues in cloud computing pose significant challenges for organizations. While the cloud offers numerous benefits, it also introduces a range of risks that demand attention. These measures enhance the overall security posture and reduce the likelihood of unauthorized access in cloud-based deployments.

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Top Tools for Your Cloud Data Security Stack in 2023

Smart Data Collective

Cloud data security is a crucial aspect of safeguarding sensitive data stored in cloud environments from unauthorized access, theft, and other security threats. This entails implementing a wide range of robust security measures that can protect cloud infrastructure, applications, and data from advanced cyber threats.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Essential Cloud Computing Notes for Beginners

Pickl AI

Summary: In this cloud computing notes we offers the numerous advantages for businesses, such as cost savings, scalability, enhanced collaboration, and improved security. Embracing cloud solutions can significantly enhance operational efficiency and drive innovation in today’s competitive landscape.

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Discover the universe of Gamma AI for better protection

Dataconomy

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS).

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Understanding Cloud Computing Security Architecture

Pickl AI

Summary: Cloud computing security architecture is essential for protecting sensitive data, ensuring compliance, and preventing threats. As technology advances, AI, machine learning, and blockchain play vital roles in strengthening cloud security frameworks to safeguard businesses against evolving risks. from 2024 to 2030.