Key Performance Indicators

whitePaper | June 29, 2023

Generative artificial intelligence (AI) is impacting many aspects of the business community. ChatGPT and other similar large language models (LLMs) have captured attention for their amazing ability to create human-like prose.1,2 Additionally, generative AI can create visually captivating artistic content, encompassing images, videos, and audio. Langevin diffusion deep learning models are primarily employed to generate this content, with open-source image generation models, such as Stable Diffusion, being the most popular approach.

whitePaper | July 28, 2022

Before the pandemic, the path to AI adoption used to be slow and steady. According to the survey of industryleading firms, only 48% of companies deemed AI and Big Data a source of innovation. In 2021, this number has climbed to almost 65 percent.

whitePaper | August 6, 2020

The purpose of any data acquisition system is to gather useful measurement data for characterization, monitoring, or control. The specific parameters of your application will dictate the resolution, accuracy, channel count, and speed requirements of a data acquisition system. A wide assortment of data acquisition components and solutions is available on the market, including low-cost USB modules, benchtop data loggers, and large channel systems. Before you start your search for a data acquisition solution, carefully analyze your application requirements to understand how much capability and performance you need to purchase.

whitePaper | August 23, 2022

This white paper describes the features and benefits of a machine learning-based resource optimization solution that helps the Dell High End Storage Field Services Team perform capacity planning more efficiently and with the potential to optimize resource utilization and overtime.

whitePaper | August 25, 2022

Businesses are in different stages with their artificial intelligence (AI) technologies. Even today, after many years of evaluating AI, only one third of organizations have actually put AI into production (31%1 ). Organizations that started somewhat later are currently prototyping their AI solutions (20%). Companies that only recently came on board with AI are experimenting with AI technologies for their business cases (25%). And a relatively large portion (24%) have only just begun evaluating AI for their business cases.

whitePaper | April 16, 2020

The Iron Triangle or, as it is more commonly known, the project management triangle has influenced project teams for years. Summed up as “fast, good, or cheap.pick two,” the concept asserts that there are firm boundaries on what is possible to produce. The triangle metaphor implies there is no way to provide goods or services that are simultaneously on budget, on time, and of high quality because of the competing nature of these priorities.