Welcome!

Artificial Intelligence Authors: Yeshim Deniz, Pat Romanski, Elizabeth White, Liz McMillan, Zakia Bouachraoui

Related Topics: Artificial Intelligence, @CloudExpo

Artificial Intelligence: Blog Feed Post

Enterprise Cloud Services – SAP

Our ECC practice is focused in this area and is also based on the book of the same name

As the name suggests one of the key factors of ‘Enterprise Cloud’ is that it’s intended for the enterprise market, in particular the enterprise applications that they use such as SAP, Oracle and JD Edwards amongst others.

Where Cloud Computing overlaps with this sector is ‘Enterprise Cloud Computing‘, and you can follow this topic via RSS here or via our knowledge newsletter.

Our ECC practice is focused in this area and is also based on the book of the same name, with the author one of our contributing experts.

SAP Enterprise Cloud

SAP applications are helpful for aligning IT operations with your business requirements, but they can also create major challenges for your IT staff, slow your systems performance and make it difficult to comply with SLAs.

Integrating SAP applications with other applications (both SAP and non-SAP) can also be a challenge, as can the underlying administration of it too.

There are supporting software options including third-party suppliers external to the SAP suite, who can be used to address these challenges through automation solutions – solutions that can then be built into Enterprise Cloud services delivered from a local managed services provider.

When you consider the workloads associated with big SAP implementations, such as those that are periodic like month-end accounting and then combined also with the ad-hoc flow of user-initiated batch requests, then it’s to see how providing and supporting the capacity required for this can be very challenging for IT organizations. These spikes in demand can cause overruns, delays and therefore ultimately failure to comply with SLAs.

Helping cope with these fluctuating requirements is what the Cloud model is ideal for addressing. Utility-centric providers can act as the “overflow” capacity for these scenarios through offering suitably tailored SaaS plug-ins for your on-premise SAP system.

This is a great example of how Cloud Providers don’t have to run the main application itself but can still add value within, around and beyond it, ideal for being delivered via As-a-Service incremental options.

Our Enterprise Cloud best practices program will explore these service design options in more detail as we go forward, identifying key functional areas of SAP like ‘System Copies’ that are ideal for service provider based solutions.

Read the original blog entry...

More Stories By Cloud Best Practices Network

The Cloud Best Practices Network is an expert community of leading Cloud pioneers. Follow our best practice blogs at http://CloudBestPractices.net

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...