Business Continuity Generative AI Security Storage 
AWS Machine Learning - AI
JANUARY 26, 2024
Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.
CIO
JANUARY 24, 2024
How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Many industries and regions have strict regulations governing data privacy and security,” Miller says. Dirty data or poor-quality data is the biggest issue with AI, Impact Advisor’s Johnson says.
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AWS Machine Learning - AI
FEBRUARY 1, 2024
Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. Although they’re important, they are a functional aspect of the system and don’t directly affect resilience.
CIO
JANUARY 4, 2024
CIOs had to navigate a labyrinth of challenges in 2023: generative AI rewrote the rulebook of technological possibility, governments started to draft new regulatory frameworks for the tech sector, and global conflicts disrupted business operations. This approach is essential to maintain business continuity.
CIO
AUGUST 3, 2023
But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. That hard, ongoing work includes integrating siloed data, modeling, and understanding it, as well as maintaining and securing it over time.
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