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Beyond the hype: Key components of an effective AI policy

CIO

An AI policy serves as a framework to ensure that AI systems align with ethical standards, legal requirements and business objectives. Algorithmic transparency and explainability AI systems often operate as ‘black boxes,’ making decisions that are difficult to interpret. Providing such clarity builds confidence in AI decision-making.

Policies 299
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23 key gen AI terms and what they really mean

CIO

Agentic systems An agent is an AI model or software program capable of autonomous decisions or actions. Gen AI-powered agentic systems are relatively new, however, and it can be difficult for an enterprise to build their own, and it’s even more difficult to ensure safety and security of these systems.

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How AI continues to reshape the cybersecurity arsenal

CIO

With each passing day, new devices, systems and applications emerge, driving a relentless surge in demand for robust data storage solutions, efficient management systems and user-friendly front-end applications. Every organization follows some coding practices and guidelines. billion user details. billion user details.

Security 323
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OKR Guidelines: How to Set and Reach Your Goals

Evolution4all

Since the mid-1980s, Objectives and Key Results ( OKRs ) has been in use by many companies and that’s why in this article we will talk about OKR Guidelines. Examples of companies that are using this system are Amazon and Google. The system aids the acceleration of a company’s growth. OKRs must be time-boxed.

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Making the gen AI and data connection work

CIO

Twenty-nine percent of 644 executives at companies in the US, Germany, and the UK said they were already using gen AI, and it was more widespread than other AI-related technologies, such as optimization algorithms, rule-based systems, natural language processing, and other types of ML. A balance between privacy and utility is needed.

Data 347
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3 steps to eliminate shadow AI

CIO

Generative AI models can perpetuate and amplify biases in training data when constructing output. If not properly trained, these models can replicate code that may violate licensing terms. The generated code could contain undetected malicious code that further risks the severe consequences of a data breach and system downtime.

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Best practices for integrating AI in business: A governance approach

CIO

Effective AI governance ensures that AI systems are used responsibly, ethically, and in compliance with relevant laws and regulations. Promote Transparency: Transparency and explainability of AI systems are crucial to the positive reception of these new tools, minimizing skepticism and resistance to adoption.