AI coding assistants boost developer productivity and code quality, but they can also introduce legal landmines, such as inadvertently incorporating open-source code with incompatible licenses. CIOs and IT leaders must proactively govern AI-generated code to mitigate IP risks and ensure responsible adoption throughout the software development lifecycle.
In the AI gold rush, all that glitters is not “open.” Confusing open-weight models with open-source ones can lead to compliance missteps and missed innovation. CIOs must understand this difference to better align their IT strategy or risk steering their organization off course.
Organizations are increasingly adopting large language models (LLMs) to enhance operations and decision-making. While deploying these models locally offers significant advantages in terms of data sovereignty and control, it also presents unique security challenges that cannot be overlooked. IT executives who have, or are planning, a local LLM deployment should make sure it is implemented securely, ethically, and effectively to avoid data breaches and operational risks.
Stanford University's Tutor CoPilot has improved students’ mathematics skills by up to 9% over two months. AI’s benefits also extend to language learning courses in educational institutions. IT leaders in education institutions can use open-source tools to create applications to save on costs and protect student and staff data.
Self-Sovereign Identity (SSI) systems can revolutionize identity management by enabling individuals to securely control and share their digital identities, reducing reliance on centralized providers. Discover how implementing SSI can enhance Know Your Customer (KYC) processes, boost security, and ensure compliance.
Cyberattacks are becoming more complex, prompting organizations to explore innovative solutions like digital twin technology. A digital twin is a virtual system replica that enables proactive cybersecurity threat detection and risk management. CISOs should consider integrating digital twin technology into their security frameworks to strengthen defences and stay ahead of evolving cyber threats.
Traditional fraud detection methods are resource-intensive and difficult to implement and maintain. Leveraging large language models (LLMs) offers a more efficient approach. LLMs can analyze vast amounts of data in real time, identifying fraud with less complexity. CIOs at SMEs should consider incorporating LLMs into their fraud detection systems to strengthen security while simplifying operations.
AI models facilitate the quick generation of images for websites, social media, applications, and more. AI-generated images save money compared to hiring a graphic designer who could charge US $60/hour. SMEs may be unable to hire a prompt engineer, but becoming adept in image generation only takes practice. IT leaders and marketing professionals in SMEs can look to AI image generation as a cost-effective strategy for marketing images.
Graph databases are excellent for storing large amounts of data and investigating the complex relationships between data. There are many existing property graph querying languages due to there being no accepted standard. The GQL standard for property graph databases, published in April 2024, is a contender to replace proprietary graph query languages. Read this article to get the information you need about this new standard and why it is important.
ChatGPT Edu aims to bring responsible AI use to educational institutions. Despite its security and privacy features, there are still concerns with ChatGPT Edu and other similar AI products. CIOs and education technologists can read this article to learn about ChatGPT Edu’s strengths and shortcomings.