Artificial intelligence is reshaping how businesses solve problems and improve efficiency. From optimizing warehouse operations to streamlining customer interactions, companies across industries are leveraging AI to address challenges and drive innovation. We’ll explore four real-world examples of organizations successfully implementing AI to transform operations and achieve measurable results. Afterward, we’ll discuss how to identify opportunities […]
Author Archives: Massed Compute
Data Analytics
6 common data challenges when creating a machine learning model (and how to avoid them)
09
Jul
Jul
The goal of any data science project is turning raw data into valuable insights for your company. This means detecting patterns that give accurate predictions, and, consequently, making better decisions. Let’s look at 6 of the most common problems data scientists face when gathering data to create machine learning models. Data problem #1: Unrepresentative samples […]
25
Jun
Jun
Just like ticket sales measure the success of a concert or page views measure the popularity of a website, tokens have become the go-to metric for artificial intelligence (AI) usage. But what exactly is a token and why are AI companies and investors counting them? While the meaning varies depending on the context, “tokenization” involves […]
18
Jun
Jun
NVIDIA is the current leader in the global artificial intelligence (AI) chip market and is playing a pivotal role in the accelerated computing revolution. Jensen Huang, the CEO of NVIDIA, has been traveling across Europe over the past week, striking AI partnerships and reinforcing the company’s commitment to expanding its influence across the continent. With […]
11
Jun
Jun
GPU (Graphics Processing Unit) benchmark comparisons are used to measure the performance of a GPU. Understanding these benchmarks can help you make more informed decisions and find the right GPU for your computational tasks. Let’s take a look at what GPU benchmark comparisons are and what they mean. What Are GPU Benchmarks? Benchmarks are comparative […]
04
Jun
Jun
When people talk about one of the major appeals of artificial intelligence (AI) for businesses, the word “automation” quickly comes up as the great tech promise. You can save time, reduce errors and eliminate repetitive and tedious tasks. But what many still haven’t realized is that this traditional automation is no longer the core of […]
29
May
May
Today, anyone with a basic computer can perform powerful data analysis and extract valuable insights without needing expensive, sophisticated equipment. With an average computer, you can, for example, use one of Python’s open-source libraries and perform linear or logistic regressions, time series analysis, or apply classical inferential statistics methods. These tasks are generally light […]
20
May
May
Thanks to the widespread accessibility of technology, companies have discovered new and revolutionary ways to interact with their customers, offering immediate and more effective support. In this landscape, artificial technology (AI) emerges as the key driver of change. Here’s a look at the benefits of AI in customer service through tools like chatbots, virtual assistants […]
27
Mar
Mar
As AI and development tools continue to evolve, January brought several exciting advancements designed to enhance efficiency, improve reasoning capabilities, and expand AI’s accessibility. Whether you’re building AI applications for edge devices, optimizing workloads for cost-conscious projects, or integrating AI into multimedia tools, these latest innovations are worth exploring. In this roundup, we’ll take a […]
24
Mar
Mar
We’ve all experienced AI hallucinations—those moments when a chatbot or AI assistant confidently provides an answer that is completely wrong. AI models rely on pre-trained data and often lack access to real-time, company-specific information. When forced to answer, they may fabricate responses rather than admit gaps in their knowledge. RAG solves this problem by allowing […]