The Business Intelligence and Analytics Capabilities Report, written by the International Institute for Analytics and sponsored by SAS, examines the relationship between business intelligence (BI) and advanced analytics (AA) in large organisations. The report is based on a survey of midmarket and enterprise businesses about their current BI environments and AA capabilities, including analytics skills …
Over vast time, people have passed through Life 1.0: biological evolution. In Life 2.0, people gained knowledge about politics, art and science that changed how they see the world and their own purpose. During Life 3.0, which may come within the 21st century, humans will use powerful technology to transcend evolution. MIT theoretical physicist Max …
This overview of artificial intelligence (AI) by disruptive technology expert Andrew Burgess demystifies AI and explains a lot of its specialized vocabulary. Aptly named an “executive guide,” it is exceptionally clear and will be useful to anyone who wants a handle on AI. The introduction addresses business issues and the book’s framework offers a useful …
The advertising industry is facing some major challenges: the increasing dominance of the duopoly, alarming increases in ad fraud and strict GDPR guidelines, not to mention the rise of ad blockers. But revenue reports increasingly show that despite all of these challenges and new ones that surface every day, advertising spend continues to grow.
Read on this article to learn comprehensive introduction to AI technologies and how to implement them. Semantic technologies are a core component of intelligent machines. Learn how to align the work of data scientists and subject matter experts to increase the business value of your data lake.
Data is the lifeblood of artificial intelligence and deep learning (AI and DL). Vast quantities of training data enhance accuracy in the search for potentially predictive relationships. Here are eight specific storage requirements of AI and DL applications and why they demand the data management capabilities supplied by enterprise object storage solutions.
Why buy fancy AI processors if you already have decent CPUs? Sebastian Moss talks to Intel about its plan to stop you turning to a competitor.
Machine learning will increase the demands on data center performance, leading to new ways to cool and power the systems there, reports Peter Judge.
But with AI’s rapid growth, it is easy to have missed some of the terminology behind the field of study, with its many subsets and different approaches. To help out, here’s a quick intro by DCD.
There are many use cases for AI in the data center, including improved safety and reliability, greater efficiency, and reduced energy consumption. By collecting information from infrastructure, AI can predict faults and respond in milliseconds.