Quantitative analysis refers to the use of mathematical and statistical modeling, measurement, and research to understand and quantify market behaviors. By studying these behaviors, analysts can develop models that predict the prices of financial instruments under different market scenarios. In this whitepaper sponsored by AMD, we present the results of a quantitaitive analysis based on

In today’s hyper-competitive business environment, data is at the heart of everything we do. Business leaders rely on up-to-date data to better understand their customers and competitors, make better, more informed decisions, and support new business initiatives. This paper examines some of the challenges with existing data pipelines and discuss five considerations for building a

I recently had the opportunity to work with Incorta developing an architecture guide for their Unified Data Analytics Platform.  The guide is now live on Incorta’s website. This guide explores the architecture of Incorta’s unified data analytics platform and how it can augment or replace legacy analytics environments while taking a new and innovative approach

Managing the trade-off between consistency and availability is nothing new in distributed databases. It’s such a well-known issue that there is a theorem to describe it. While modern databases don’t tend to fall neatly into categories, the CAP theorem (also known as Brewer’s theorem) is still a useful place to start. The CAP theorem says

In March I worked on this article with folks at Dremio, explaining the challenge of data copies in modern “data lakehouse” environments. An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies and building BI extracts for analysis. Unfortunately, data replication, transformation and movement can result in longer

I recently worked on a whitepaper for Dremio funded by Amazon Web Services around the topic of data analytics. You can download the paper @ TWDI – Building a Modern Architecture for Interactive Analytics on Amazon S3 Using Dremio | Transforming Data with Intelligence (tdwi.org)

Apocalyptic warnings about the risks of AI are hardly new. Stephen Hawking warned that “the development of full AI could spell the end of the human race”(1) and Elon Musk has declared unregulated AI more dangerous than nuclear weapons(2). While computers aren’t out-thinking humans just yet, we’re already confronting the first challenge of the AI-age

Carrots and sticks: How new challenges are bringing fresh opportunities for HPC, data analytics, and AI This Cabot Partners article sponsored by IBM was published at HPCwire at this URL. This article is identical, but graphics are presented in higher resolution. ————- For decades, banks have relied on high-performance computing (HPC). When it comes to

Cabot Partners – Software Defined Infrastructure in Life Sciences Final Life sciences research is advancing at a rapid pace. New techniques such as next-generation sequencing (NGS) are playing a vital role in growing scientific knowledge, facilitating the development of targeted drugs, and delivering personalized healthcare. By investigating the human genome, and studying it in the

Realizing a more cost-efficient elastic infrastructure Most of us recall the notion of elasticity from Economics 101. Markets are about supply and demand, and when there is an abundance of supply, prices usually go down. Elasticity is a measure of how responsive one economic variable is to another, and in an elastic market, the response