Home > Resources > Whitepapers > Accelerating SQL and BI Analytics Extending Analytical BI with a GPU database

Accelerating SQL and BI Analytics Extending Analytical BI with a GPU database

February 12, 2019

Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. The term ‘Big Data’ is becoming obsolete as we face data stores of massive new proportions. Today’s businesses increasingly rely on leveraging these growing data stores to extract actionable insights into customer behavior, security anomalies, risk analysis, stock and inventory predictions and more. This shift to a data-driven approach has caused many organizations to store their data in large data lakes, but the platforms that analyze the data struggle with the velocity and variety of data.

Spotlight

Horizon Computer Solutions Inc.

Horizon Computer Solutions Inc. is an industry-leading Western Canadian IT solutions provider specializing in transformative technology solutions. Horizon focuses on five primary Technology Solutions to meet the diverse needs of our clients: Managed IT Solutions, Data & Security, Cloud Computing Solutions, Data Analytics, and Staff Augmentation.

OTHER WHITEPAPERS

10 Keys to AI Success in 2021

whitePaper | May 17, 2021

AI will impact every area of our lives, and its applications are virtuallylimitless. From solving society's biggest problems to creating newopportunities in business, AI will help us take huge leaps forward in this next decade.

Artificial Intelligence & Financial Services

whitePaper | November 29, 2022

Artificial intelligence has long since graduated from science fiction and speculative use cases to widespread and diverse development across fintech sectors. CB Insights reported that financings for AI startups showed continued robust activity through Q2 2022, despite changes in market sentiment from the exuberance of 2021.

A Taxonomy of Trustworthiness for Artificial Intelligence

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

Artificial Intelligence at the Heart of Business 4.0

whitePaper | February 16, 2023

Artificial Intelligence (AI) is answer to challenges that telecoms must face in a time of rapidly changing market requirements, but it is not easy to adapt immediately. Many requirements can be solved by experienced experts. Unfortunately, access to their knowledge is increasingly limited, their education is usually expensive, there are not enough of them, and they are not always able to respond with sufficient speed.

Maximising theAI opportunity

whitePaper | November 1, 2019

Artificial Intelligence is becoming an ever more important part of our lives. Many of us are already familiar with its everyday applications, such as decluttering our inboxes with spam filters or receiving personalised shopping recommendations. Yet, whether it is powering a new generation of self-driving cars, guarding us against fraud or helping doctors better diagnose health conditions, AI’s transformational abilities are being felt in increasingly ubiquitous and innovative ways.

Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

Accelerating SQL and BI Analytics Extending Analytical BI with a GPU database