Welcome!

IBM Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Liz McMillan, Stefan Bernbo

Related Topics: @CloudExpo, @DXWorldExpo, @ThingsExpo

@CloudExpo: Blog Feed Post

Digital Transformation Asset Management | @CloudExpo #DX #Cloud #Analytics

From virtual machines to chatbots to Bitcoin, physical has become last century’s modus operandi

Today’s businesses run in the virtual world. From virtual machines to chatbots to Bitcoin, physical has become last century’s modus operandi.  Dealing with this type of change in business even has its own buzzword – Digital Transformation.  From an information technology operations point of view, this has been manifested by organizations increasingly placing applications, virtual servers, storage platforms, networks, managed services and other assets in multiple cloud environments.

Managing these virtual assets can be much more challenging than it was with traditional physical assets in your data center.  Cost management and control are also vastly different than the physical asset equivalent.  Challenges abound around tracking and evaluating cloud investments, managing their costs and increasing their efficiency.  Managers need to track cloud spending and usage, compare costs with budgets and obtain actionable insights that help set appropriate governance policies.

The cloud computing operational expenditure (OPEX) model demands a holistic management approach capable of monitoring and taking action across a heterogeneous environment. This situation is bound to contain cloud services from multiple vendors and managed service providers.  Enterprises also need to manage services from a consumption point of view. This viewpoint looks at the service from the particular application down to the specific IT service resources involved, such as storage or a database. Key goals enterprises need to strive for to be successful in this new model include:

  • Obtaining ongoing visibility into true-life cloud inventory;
  • Viewing current and projected costs versus industry benchmarks;
  • Establishing and enforcing governance control points using financial and technical policies;
  • Receiving and proactively responding to cloud cost and operational variances and deviations;
  • Gaining operational advantages through advanced analytics and cognitive computing capabilities;
  • Simulating changes to inventory, spend goals and operational priorities before committing;
  • Managing policies through asset tagging across providers and provider services; and
  • Identifying and notifying senior managers about waste and opportunities for cost savings.

Accomplishing these goals across a hybrid IT environment will also require timely, accurate and consistent information delivery to the organizations, CIO, CFO, IT Financial Controller and IT Infrastructure and Operations Managers.  Ideally, this information would be delivered via a “single pane of glass” dashboard.

One path towards gaining these capabilities would be through the use of a cloud services brokerage platform like IBM® Cloud Brokerage Managed Services – Cost and Asset Management. This “plug and play” service can assist in the management of spending and assets across hybrid clouds by visualizing data that provides focus on asset performance.

Through the use of predictive analytics, it can also provide insight-based recommendations that help in the prioritization of changes according to their expected level of impact.  Analytics enables an ability to recalibrate cost by comparing planned versus actual operational expenditures.  The built-in cloud service provider catalog, pricing, and matching engines can also help organizations find alternative providers more easily. Using IBM Watson® cognitive capabilities, IBM Cloud Brokerage Managed Services – Cost and Asset Management will also highlight cloud best practices and expected results based on IBM’s rich knowledge base of cross-industry cloud transition experience.

Operating a business from a virtual IT platform is different.  That is why advanced cost and asset management skills, capabilities and tools are needed.  According to Gartner, more than US$1 trillion in IT spending will be directly or indirectly affected by the shift to cloud during the next five years. This makes cloud computing one of the most disruptive forces of IT spending since the early days of the digital age.  You and your organization can be ready for these tectonic changes by implementing the straightforward five-step process supported by IBM Cloud Service Brokerage capabilities:

  1. Establish governance thresholds and policies for services;
  2. Connect the advanced management platform across all cloud service accounts;
  3. Track the costs of the services, including recurring and usage-based costs;
  4. Enforce compliance on the costs and asset usage using the purpose-built cost analytics engines; and
  5. Simulate and optimize the control and compliance actions and better control your costs.

 


This post was brought to you by IBM Global Technology Services. For more content like this, visit IT Biz Advisor

(Thank you. If you enjoyed this article, get free updates by email or RSS - © Copyright Kevin L. Jackson 2016)

Read the original blog entry...

More Stories By Kevin Jackson

Kevin Jackson, founder of the GovCloud Network, is an independent technology and business consultant specializing in mission critical solutions. He has served in various senior management positions including VP & GM Cloud Services NJVC, Worldwide Sales Executive for IBM and VP Program Management Office at JP Morgan Chase. His formal education includes MSEE (Computer Engineering), MA National Security & Strategic Studies and a BS Aerospace Engineering. Jackson graduated from the United States Naval Academy in 1979 and retired from the US Navy earning specialties in Space Systems Engineering, Airborne Logistics and Airborne Command and Control. He also served with the National Reconnaissance Office, Operational Support Office, providing tactical support to Navy and Marine Corps forces worldwide. Kevin is the founder and author of “Cloud Musings”, a widely followed blog that focuses on the use of cloud computing by the Federal government. He is also the editor and founder of “Government Cloud Computing” electronic magazine, published at Ulitzer.com. To set up an appointment CLICK HERE

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...