Remove solutions privacy-risk-and-compliance
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Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale.

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5 tips for transforming company data into new revenue streams

CIO Business Intelligence

Organizations should prioritize solutions that align with their current data/technology stack and product lifecycle to ensure seamless implementation, he says. She notes that her firm works with a variety of data-rich clients. In the course of our work, with our clients permission, we collect data and enter it into our databases.

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10 AI strategy questions every CIO must answer

CIO Business Intelligence

Too quickly people are running to AI as a solution instead of asking if its really what they want, or whether its automation or another tool thats needed instead, says Guerrier, currently serving as CTO at the charity Save the Children. As part of that, theyre asking tough questions about their plans.

Strategy 141
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Securing the digital future: How Huawei is tackling cybersecurity in the GCC

CIO Business Intelligence

However, the increasing integration of AI and IoT into everyday operations also brings new risks, including the potential for cyberattacks on interconnected devices, data breaches, and vulnerabilities within complex networks. Huawei takes pride in its compliance,” Malik explained.

IoT 119
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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Unfortunately, implementing AI at scale is not without significant risks; whether it’s breaking down entrenched data siloes or ensuring data usage complies with evolving regulatory requirements. Above all, robust governance is essential. are creating additional layers of accountability. are creating additional layers of accountability.

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Dulling the impact of AI-fueled cyber threats with AI

CIO Business Intelligence

From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

Risk 128
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Global AI regulations: Beyond the U.S. and Europe

CIO Business Intelligence

India has avoided any commitment to AI regulations, at this time relying on existing legislation that protects personal digital privacy, an example that many other countries are following. Further, the Dubai Health Authority also requires AI license for ethical AI solutions in healthcare. and Europe.