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Guesswork or gut feelings? There’s a smarter way to make critical business decisions.

A/B testing is the gold standard for data-driven choices, but pairing it with AI takes your optimization to the next level. From automating hypotheses to predicting high-impact wins and dynamically managing traffic with Multi-Armed Bandits, AI makes testing faster, sharper, and more precise.

Stop losing conversions while you wait for statistical significance. Let data—and intelligent automation—speak clearly.

Read our latest guide on how to integrate AI into your A/B testing framework:

How to Use AI for A/B Testing in Data Science - NextComputing - Purpose-Built Computer Solutions What if you made all your critical business decisions based on guesswork or gut feelings, how often would you get it right? In data science, A/B testing offers a smarter way: testing two versions of something to see which one works better. But what if this process could be faster, sharper, and smart...

As cyber threats grow more sophisticated, modern banks are moving past traditional security methods and turning to AI as an always-on sentinel to protect customer data and assets. By using machine learning models, financial institutions can detect anomalies, block fraud, and neutralize zero-day threats like deepfakes and advanced phishing in real time. AI also helps automate incident response to isolate breaches instantly, monitors for insider risks through behavioral analytics, and simplifies regulatory compliance—giving banks a proactive, fast-evolving shield against cybercriminals.

Read more at https://solutions.nextcomputing.com/ai/how-is-ai-used-in-cybersecurity-for-banks/

Integrating AI into data science boosts efficiency and accuracy by automating routine tasks like data cleaning, predictive modeling, and NLP. By utilizing powerful platforms like PyTorch, Scikit-learn, and Tableau, data scientists can shift their focus from tedious manual ex*****on to high-value strategy and advanced visualization.

How to Use AI for Data Science: Techniques and Tools - NextComputing - Purpose-Built Computer Solutions To use AI for data science, start by leveraging AI-powered tools to automate boilerplate coding, data cleaning, and exploratory analysis tasks, which accelerates your workflow. Take advantage of AI’s NLP (Natural Language Processing) and data visualization and exploration to glean fresh insights. ...

What are AI workloads? Specialized computing tasks designed to develop, train, and deploy artificial intelligence models, ranging from lightweight CPU-based tasks to large-scale data processing and high-performance computing. An AI workload is any job, big or small, that a system must execute to build, run, or maintain an AI model.

What Are AI Workloads? Types, Resources, Algos - NextComputing - Purpose-Built Computer Solutions AI workloads are specialized computing tasks designed to develop, train, and deploy artificial intelligence models, ranging from lightweight CPU-based tasks to large-scale data processing and high-performance computing. An AI workload is any job, big or small, that a system must execute to build, ru...

Edge computing transforms real-time AI by shifting data processing from distant cloud servers to local devices like sensors and autonomous vehicles, drastically reducing latency and stabilizing jitter for safety-critical applications. By analyzing data at the source, this architecture enhances privacy, slashes bandwidth costs, and ensures operational reliability even during connectivity outages. However, deploying AI at the edge introduces significant hurdles, including managing resource-constrained hardware (limited memory and power), securing a vast and distributed attack surface, and ensuring interoperability across diverse platforms. Ultimately, while the transition requires specialized hardware and model optimization, the fusion of edge computing with 5G is creating a more responsive, efficient, and private intelligence ecosystem across industries like healthcare, manufacturing, and smart cities.

Read our blog article at

How Edge Computing Impacts Real-Time AI: Exploring Benefits and Challenges - NextComputing - Purpose-Built Computer Solutions Edge computing significantly impacts real-time AI by moving data processing, analysis, and decision-making from centralized cloud servers to the “edge” of the network—physically closer to where data is generated (sensors, cameras, IoT devices). Edge computing impacts latency, privacy, bandwidt...

Is AI the same as Data Science?

Many people use the terms interchangeably, but there’s a key difference:

• Artificial Intelligence is the GOAL: building systems that act and think like humans.

• Data Science is the PROCESS: mining raw data for insights and informed decisions.

The bridge between them? Machine Learning.

From "AI Factories" to the rise of Agentic AI, the landscape is shifting from hype to high-impact, practical implementation.

Read More at https://solutions.nextcomputing.com/ai/is-ai-data-science-exploring-the-technology-and-trends/

Is AI Data Science? Exploring the Technology and Trends - NextComputing - Purpose-Built Computer Solutions AI and data science are closely related, but they are not the same thing. Think of them as overlapping fields within the broader area of computing and analytics.  Artificial Intelligence Artificial Intelligence focuses on building systems that can perform tasks that typically require human intellig...

We are thrilled to be part of the innovative “Wildlife Conservation 5G AI Hotspot” demonstration at the International Conservation Technology Conference (ICTC) in Peru. NextComputing Nexus Fly-Away Kits featuring AmpereOne® 192 core arm64-bit processors form the AI hardware in this solution which represents a massive leap in how we monitor and protect endangered species using edge computing and high-speed connectivity.

https://wildlabs.net/event/international-conservation-technology-conference

This solution will be featured across the event at these key spots:

• Feb 18 - 20 Arm booth as the main demo

• Friday, February 20th - TRAPPER AI - a scalable, open-source camera trap data infrastructure for professional and citizen-science projects

• Friday, February 20th - Running Conservation Technology Efficiently, from Edge to Cloud, on Arm

International Conservation Technology Conference | WILDLABS WILDLABS, alongside a coalition of leading partner organisations, is proud to introduce the first International Conservation Technology Conference (ICTC). With the rich biodiversity of Peru as our backdrop, ICTC will tackle today’s most pressing challenges and explore breakthroughs on the horizon.

As cyber threats grow in complexity, artificial intelligence is no longer just an "add-on"—it’s a necessity.

Check out our latest breakdown on how AI is revolutionizing cybersecurity, from real-time threat detection to proactive defense strategies.

Key Takeaways:
✅ Automated Threat Detection: AI sifts through massive data sets to spot anomalies and "zero-day" threats that humans might miss.
✅ Behavioral Analytics: By learning "normal" user patterns, AI can instantly flag suspicious activity, like unusual logins or data spikes.
✅ Faster Incident Response: AI-driven systems can isolate infected devices and block malicious IPs in milliseconds, drastically reducing damage.
✅ Predictive Intelligence: Move from reactive to proactive by using machine learning to anticipate future attack vectors based on global trends.

The future of security is a partnership between human expertise and machine speed. 🤝

Read the full article here: https://solutions.nextcomputing.com/blog/how-is-ai-used-in-cybersecurity-applications-and-security-advantages-explained/

How Is AI Used in Cybersecurity? Applications and Security Advantages Explained - NextComputing - Purpose-Built Computer Solutions AI is utilized in cybersecurity to enhance threat detection, automate responses and repetitive security tasks, uncover trends, and analyze vast amounts of security data faster than humans using traditional methods. Key applications include identifying phishing attempts, managing vulnerabilities thro...

NextComputing is excited to be partnering with Kasm Technologies and Ampere to offer a compact, high-performance workplace streaming solution.

In his article below, Jaymes Davis of Kasm Technologies describes his opportunity to work with a NextComputing Fly-Away Kit with Ampere processors and how the most consequential shift in computing over the next five years won’t be raw speed. It will be proximity.

From Rooms to Backpacks: Where Computing Will Be in Five Years This past weekend, I worked hands-on with a system delivering hundreds of CPU cores, hundreds of gigabytes of memory, and multiple terabytes of storage—enough to support real enterprise and AI workloads. The entire system weighed roughly 50 pounds and fit in the space of a carry-on suitcase.

Will AI Replace Cybersecurity?
Artificial Intelligence is transforming every industry—but what does that mean for cybersecurity? Will AI become the ultimate defender, or will human expertise remain irreplaceable?

Check out our latest article to explore the future of AI in cybersecurity:
https://solutions.nextcomputing.com/ai/will-ai-replace-cybersecurity/

Will AI Replace Cybersecurity? - NextComputing - Purpose-Built Computer Solutions Will AI Replace Cybersecurity? Exploring how AI is transforming cybersecurity and learn about the future impact on security jobs.