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Articles by Category: Tech Sketch

Small Enterprises, Big AI: How to Use LLMs to Stop Financial Fraud

Small Enterprises, Big AI: How to Use LLMs to Stop Financial Fraud

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.
Revolutionize Your Cybersecurity Posture with Digital Twin Technology

Revolutionize Your Cybersecurity Posture with Digital Twin Technology

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.
Hocus Promptus: Generating Images with a Click

Hocus Promptus: Generating Images with a Click

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.
Is The GQL Standard the Future of Property Graph Databases?

Is The GQL Standard the Future of Property Graph Databases?

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: AI’s Charge Towards Higher Education

ChatGPT Edu: AI’s Charge Towards Higher Education

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.
The LLM Takeover: AI For All

The LLM Takeover: AI For All

AI is becoming a necessary software feature for vendors to stay relevant and ahead of their competition. One major issue with AI in software is the trust that your business data is private and protected. Without this trust, your data could be used by your software vendor or third parties to train their AI models. This article discusses how to manage software with AI to protect your data.
Build Better AI Medical Assistants with Chain-of-Thought Prompting

Build Better AI Medical Assistants with Chain-of-Thought Prompting

AI benefits healthcare by improving the speed of patient diagnosis. Hallucinations are one concern in this process because they can lead to incorrect treatment. Chain-of-thought (CoT) prompting solves this by instructing an LLM to use advanced reasoning to find the best possible answer. Healthcare professionals who use AI can consider using CoT prompting to improve diagnosis speed and accuracy.
AI Weather Prediction Models: Expect a Clear Sky of Deep Learning

AI Weather Prediction Models: Expect a Clear Sky of Deep Learning

Natural disasters are devastating forces that cripple infrastructure and result in deaths if the affected region is unprepared. Traditional weather prediction models are computationally expensive. AI weather prediction models provide faster, higher-quality predictions. Government officials tasked with emergency management can use AI weather prediction models to improve their preparedness and response to natural disasters.
Optimize  Cloud Efficiency and User Experience with Cloud Performance Engineering

Optimize Cloud Efficiency and User Experience with Cloud Performance Engineering

As SMEs push to move their workloads to the cloud, they may neglect to optimize and monitor critical aspects of the performance of their cloud-based applications post-deployment. Metrics such as latency, downtime, and resource inefficiency can deteriorate over time, leading to performance challenges. This article explores how cloud performance engineering can enhance application efficiency, reduce operational costs, and improve user experience. Tech leaders within SMEs will discover practical strategies to implement cloud performance engineering effectively.
Data Minimization: Stripping Redundant Data Away To Improve Healthcare

Data Minimization: Stripping Redundant Data Away To Improve Healthcare

Fifty petabytes (PB) of data can be generated by large healthcare institutions each year. However, this data becomes useless because 97% of it is unused. Eventually, this data becomes outdated–resulting in high storage costs for no ROI. Data minimization helps remove unnecessary data that is being hoarded if it is useful in the future. Chief Data Officers (CDOs) and IT leaders at healthcare institutions should apply data minimization as a data management strategy to lower data storage costs, reduce risk from data breaches, and ensure compliance with data protection regulations.