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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO

Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. On today’s most significant ethical challenges with generative AI deployments….

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Unleashing the power of banks’ data with generative AI

CIO

The implications of generative AI on business and society are widely documented, but the banking sector faces a set of unique opportunities and challenges when it comes to adoption. But despite this desire to unleash the full potential of AI, almost half (49%) said they did not fully understand generative AI and its governance needs.

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Generative AI: the Shortcut to Digital Modernisation

CIO

THE BOOM OF GENERATIVE AI Digital transformation is the bleeding edge of business resilience. As transformation is an ongoing process, enterprises look to innovations and cutting-edge technologies to fuel further growth and open more opportunities. percent of the working hours in the US economy.

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How can CIOs build an effective Generative AI strategy?

CIO

According to Forrester , investment in AI software will grow 50% faster than the wider software market. A recent PagerDuty survey also found that 71% of businesses are looking to expand investments in AI and machine learning (ML) in the next year. To learn more, visit us here. Artificial Intelligence

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3 early lessons with generative AI

CIO

Generative AI products like ChatGPT have introduced a new era of competition to almost every industry. The bottom line: The companies that strike the right balance of risk and innovation when adopting generative AI will win. Here are the lessons we’ve learned so far from our approach.

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A secure approach to generative AI with AWS

AWS Machine Learning - AI

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

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.