Nahla Davies

Manhattan

Writer at Freelance

Digital Compliance | Data Governance | Copywriter

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Articles

Is serverless computing the next tech revolution?

2 weeks ago | siliconrepublic.com | Nahla Davies

Nahla Davies discusses the cost, scale and agility benefits of going serverless and where all this leaves the server. The word ‘serverless’ sounds like a contradiction in terms – a paradox that hints at some invisible trickery. After all, how can an application run without a server? Yet, this is exactly the kind of disruption shaking up the world of cloud computing.
Advanced Techniques for Handling Multicollinearity in Regression Analysis

2 weeks ago | f.mtr.cool | Nahla Davies

Image by Editor | MidjourneyMulticollinearity occurs when independent variables are highly correlated with each other, leading to inflated standard errors, reduced reliability of coefficient estimates, and a possible failure to detect significant predictors. The good news is that advanced strategies can mitigate these effects without oversimplifying the model. Let’s get into these advanced techniques, exploring their theoretical foundations and practical applications.
Synthetic Sabotage: How AI Tools Are Fueling Tailored Phishing Campaigns at Scale

2 weeks ago | secureworld.io | Nahla Davies

Synthetic Sabotage: How AI Tools Are Fueling Tailored Phishing Campaigns at Scale7:44 Crafting credible lures at scale required either a team of grifters or a scattergun approach. Today, those constraints have been shattered. With the rise of generative AI tools and open-source language models, cybercriminals can automate what used to be artisanal deception.
6 Statistical Tests You’ve Never Heard Of (But Should Be Using)

3 weeks ago | f.mtr.cool | Nahla Davies

Image by Editor | MidjourneyStatistical analysis often feels like a predictable toolbox. T-test? Check. ANOVA? Of course. Chi-square? Got it. But dig just a little deeper and you’ll find a world of powerful, underused statistical tests that can transform how you interpret data—especially when the usual suspects fall short.
7 Statistical Pitfalls of Data Visualization: What You’re Getting Wrong

3 weeks ago | f.mtr.cool | Nahla Davies

Image by Editor | MidjourneyData visualization has become the lingua franca of decision-making in both business and research. Whether it’s a flashy dashboard or a humble Excel chart, the goal is always the same: to transform raw data into insights. But here’s the catch — visuals can lie. Or more accurately, they can mislead. And more often than not, it’s the result of statistical pitfalls that many people overlook or misunderstand.
Quantization in Machine Learning: 5 Reasons Why It Matters More Than You Think

4 weeks ago | f.mtr.cool | Nahla Davies

Quantization might sound like a topic reserved for hardware engineers or AI researchers in lab coats. But in reality, it sits at the intersection of performance and practicality in modern machine learning. Whether you’re deploying deep learning models on edge devices, optimizing for latency, or simply looking to squeeze more performance out of your architecture, quantization plays a starring role. So what is quantization, exactly?
GPU Hosting, LLMs, and the Unseen Backdoor

4 weeks ago | secureworld.io | Nahla Davies

GPU Hosting, LLMs, and the Unseen Backdoor7:58 Big AI runs on big hardware. And right now, that hardware is GPUs—rented, stacked, and spinning 24/7 across cloud infrastructure nobody double-checks until something breaks. Everyone's focused on what LLMs say and do—but not where they live or how they're trained. That backend? It's a mess. And it's wide open. This is the blind spot in modern cybersecurity, as not many of us are aware of how important GPUs are for AI.
From Supply Chain Breach to Global Disruption: The AnyDesk Hack’s Silent Shockwave

1 month ago | secureworld.io | Nahla Davies

From Supply Chain Breach to Global Disruption: The AnyDesk Hack’s Silent Shockwave9:51 If you think last year's AnyDesk hack was just another cybersecurity breach to be logged with all the others that happen, you're missing the big picture. This surgical strike undermined the very foundation of remote access security and left countless organizations scrambling.
The Art of Survey Design: 10 Questions You Should Never Ask

1 month ago | f.mtr.cool | Nahla Davies

Image by Editor | MidjourneySurveys can be powerful tools as long as you’re asking the right questions. But a poorly crafted question can skew your data, lead to ambiguous results, or even drive respondents away. Whether you’re just starting or you’re a seasoned data scientist looking to refine your craft, understanding these pitfalls will help you create surveys that truly capture the voice of your audience. With that in mind, here are the types of questions you should never ask in your surveys. 1.
Implementing Data Observability to Proactively Address Data Quality Issues

1 month ago | dataversity.net | Nahla Davies

Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability is so important: It’s a proactive approach to ensuring your data remains accurate, consistent, and trustworthy. But how does one achieve it?