Subscriptions/Access : ROI
In the corporate environment access to electronic resources must show a return on investment. This can make the selection process especially challenging when institutions are looking to invest in a resource such as access to high-quality research and practitioner-oriented technical information. Access to the ACM Digital Library can offer a competitive edge to organizations by keeping their knowledge workers informed about the cutting edge technological innovations in their fields as well as potentially saving your organization time and money from hidden costs and opportunity loss.
Access to leading publication in network security, data mining, computer-human interaction, real-time systems, wireless, design automation, software, graphics, is critical for companies large and small in energy, healthcare, transportation, banking & finance, entertainment, defense, communications, and technology. The challenge for all these organizations is keeping designers, programmers, engineers, and researchers informed of the cutting edge of technology. The ACM Digital Library helps your organization maintain this competitive edge by having your employees getting immediate access to the newest conference proceedings and the complete archive of everything ACM has published.
If your employees don’t have access to the Digital Library how are they getting access to these materials?
They maybe paying for each article individually. The fee for this service is $15 per article. At this rate your organizations may be spending hundreds of dollars a year on ACM content per person. All buried in expense reports.
Employees may also access these materials at their local university libraries as walk in users. Though walk-in users are allowed to use ACM materials at university libraries there are the question of opportunity loss. An engineer’s time should be much better downloading materials at their desk then spent wandering a local university’s library stacks.
Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.
Why I Belong to ACM
Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.
ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.