This white paper identifies common SaaS management challenges, establishes the elements of a strong SaaS license management solution, and provides actionable next steps asset managers can take to elevate their SaaS license management strategy.Request F…
But there are five steps that will move you in the right direction, starting with gaining a complete view of IT resources to understand spending patterns. Find the other four in this quick-read eBook.Request Free!
Read this white paper to learn how automating your asset lifecycle can help properly manage each stage, as well as provide key benefits like: Reduced costs through efficiencies Minimized risk to critical business systems Improved employ…
This eBook covers the 8 proven steps enterprises can take to get better control of software spend. You’ll also get tips on creating your own software asset management strategy.Request Free!
Download this eBook for an insightful roadmap to: – Getting started with ITAM and seeing better outcomes – Optimizing ITAM for better, more efficient workflows – Strategically using ITAM as a mature processRequest Free!
This eBook explores how a consolidated snapshot of IT assets can reduce risk and make it easier to efficiently and strategically utilize IT spending like never before.Request Free!
In this eBook, sponsored by Cockroach Labs, you’ll learn about: How to select a database infrastructure for modern global retail operations. Cloud applications and architectures for retail. The benefits of a distributed database for imp…
Intelligent and predictive reporting has become the bedrock of modern data insights. With the massive amounts of data being collected and analyzed by businesses worldwide, speed and efficiency of insight …
How do we accelerate the adoption of AI in the enterprise effectively? With just released Applied Machine Learning Prototypes in Cloudera Machine Learning (CML), data science teams can deploy fully built …
Effectively powering AI use cases across your business requires an integrated approach to enabling the end-to-end ML lifecycle — from data ELT (extract, load, transform) and pipeline automation to machine …
