PRESENTATION:
In this presentation from our CW500 event, director of digital architecture and transformation Chris Boyd explains how Telefonica tackled the challenges of delivering people, cultural and organisational change.
WEBCAST:
Access this webcast to learn how using the latest intent data and AI-driven technologies can transform their productivity and yields from a market, an ICP, or a set of named ABM accounts.
NEWSLETTER:
This newsletter focuses on how speed can truly transform business processes and enable companies to realize value from in-memory technology. Inside, learn how SAP HANA puts a whole new horse power behind process re-engineering.
EGUIDE:
As businesses sign up for mobile ERP, they soon find they need a good WMS software to match. Explore ways to get the most out of your integration choices.
EGUIDE:
In this expert e-guide, we explore how to integrate BPM with analytics successfully by examining different use cases and approaches. Learn how data scientists help derive optimal value from analytics, how to take analytics to the cloud, and how to leverage BPM to deliver ITaaS.
EGUIDE:
In this e-guide, experts address how to realign existing BPM strategies to enforce quality employee performance. In addition, discover key tips on how to leverage the power of open source BPM.
WHITE PAPER:
Performing comparisons between leading BPM systems could take ages to perform on your own -- fortunately, this competitive brief does some of the work for you. Take a look at how Red Hat JBoss BPM suite compares to Pegasystems, Inc.'s Pega 7 BPM in terms of the five essential criteria for choosing a BPM system
EGUIDE:
This expert e-guide explores the value of cloud options for enterprise resource planning (ERP) and zeros in on the potential risks of unsafe software as a service (SaaS) management practices.
EGUIDE:
Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.
