WHITE PAPER:
This white paper explores requirements engineering and its groundbreaking role in product development and engineering for the industrial segment. It discusses the best practices and benefits of requirements engineering, and how automotive manufacturers can overcome today's quality and cost challenges using those best practices.
WHITE PAPER:
In this paper Intel IT explores a proof of concept study that examined the viability of abstracting the client operating system from the hardware platform using virtualization.
WHITE PAPER:
This white paper describes international procurement center (IPC) processes and capabilities, and explains the ways in which an IPC deployment can enhance your profitability.
WHITE PAPER:
This white paper provides insight on ways that MSPs and IT departments can improve their management of services. Learn how using ITIL best practices with an automated management solution can address a number of the unique challenges these businesses face.
WHITE PAPER:
What is B2B intent data and how can it help your organization? Inside, get a crash course on B2B intent data. Learn how B2B intent data can help your organization glean actionable insights, and uncover top intent use cases today.
WHITE PAPER:
Download this white paper to learn how ISRs can use purchase intent intelligence to improve appointment rates, and uncover a few critical ingredients for your organization to see similar results.
WHITE PAPER:
Process-centric IT is, first and foremost, a way for the IT organization to build applications that will deliver greater flexibility and agility to the business-enabling high performance.
WHITE PAPER:
This paper describes the technical limitations inherent in the architecture of traditional databases and other MPP (massive parallel processing) alternatives.
WHITE PAPER:
The goal of this business continuity survey was to learn what these executives were doing about business continuity, and how it figured in their overall IT strategy.
WHITE PAPER:
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by SPSS Inc.'s text analytics solutions.
