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Latest Trends In Cloud Computing Adoption [Video]

Schalk Viljoen

With SAPPHIRE NOW Orlando coming up, SAP asked William S. McNee, Founder and CEO of Saugatuck Technology, what he sees as the latest trends in cloud computing adoption. This should give you as SAPPHIRE NOW attendee (in Orlando or virtually) a good idea of which sessions would be the most relevant to you and your business.

cloud computing at Saugatuck

The interview is in 4 video sections:

A new master architecture is emerging, combing cloud, mobile, social and advanced integration, which will help organizations move into the future, to what Saugatuck see as the Boundary-free Enterprise™.

What is the Past, Present and Future of Cloud Adoption?

Saugatuck sees a move from point / discrete solutions, islands of automation to solving more robust corporate wide business problems.

This transition has been evolving over the last 5-7 years.

There are 3 phases:

  • CRM, Social  collaboration > highest area of cloud based adoption
  • HCM > Transition in upper ME and large enterprises > sharp edge of the wedge introducing cloud solutions to large enterprises
  • Core financials systems (systems of record) >  there are a number of SMB solutions, but now there are also credible alternatives for larger enterprises

Cloud Vuying Patterns, Customer Benefits and Business Value

During this transition from point solutions to addressing more complex business problems, companies are starting to recognize that cloud computing is not only about costs saving, but about generating better business value and rethinking underlying business processes in a modern way. I.e. not simply replicating the business processes of the past.

The move to loosely coupled architectures provide customers with a greater choice in the pace change of adoption of new, e.g. cloud based, solutions.

Some can completely replace their systems, but for some the benefit of a loosely coupled systems is that they can expand to new or replace systems for discrete functional areas

Towards end of the decade maybe all systems will be cloud based

Summary: 3 Flavors of Cloud Computing

The Flavors of Cloud Computing

  • Highly integrated
  • Single vendor multi- cross functional delivered through loosely couples architecture
  • Multi vendor multi- cross functional delivered through loosely couples architecture

What Should Customers Look for in a Winning Cloud Solution?

  • Rich functional capabilities + platform capabilities and complementary tools that are helping to revolutionize enterprise software, especially:
  • Social > embedded into the workflow
  • Mobile > mobile 1st perspective ofapplication consumption
  • Advanced analytics
  • + Integration
  • All are the new master architecture …  Cloud + social + mobile + advanced analytics + Integration
  • Delivering transition from enterprise IT to the Boundary-free Enterprise™.

In Summary : Latest Trends of Cloud Adoption

  • This is an exciting time, with innovation across so many dimensions.
  • Saugatuck is seeing CIOs being more excited than they have been in the past 10 – 20 years
  • Saugatuck see this as a Renaissance period, with the opportunity to create new cloud enabled businesses.

SAPPHIRE NOW: Leverage this industry analyst insight into trends of Cloud Computing Adoption, to determine which of the many Cloud Sessions would make the most sense for you and your company.

This post originally appeared on SCN SAPPHIRE Now and was republished with permission.
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Schalk Viljoen

About Schalk Viljoen

Schalk Viljoen is a Digital Marketing Strategist at SAP responsible for supporting various business areas with their Digital Transformation. He has extensive experience in web, community and social media.

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Innovation Without Boundaries: Why The Cloud Matters

Michael Haws

Is it possible to innovate without boundaries?

Of course – if you are using the cloud. An actual cloud doesn’t have any boundaries. It’s fluid. But more important, it can provide the much-needed precipitation that brings nature to life. So it is with cloud technology – but it’s your ideas that can grow and transform your business.USA --- Clouds, Heaven --- Image by © Ocean/Corbis

Running your business in the cloud is no longer just a consideration during a typical use-case exercise. Business executives are now faced with making decisions on solutions that go beyond previous limitations with cloud computing. Selecting the latest tools to address a business process gap is now less about features and more about functionality.

It doesn’t matter whether your organization is experienced with cloud solutions or new to the concept. Cloud technology is quickly becoming a core part of addressing the needs of a growing business.

5 considerations when planning your journey to the cloud

How can your organization define its successful path to the cloud? Here are five things you should consider when investigating whether a move to the cloud is right for you.

1. Understanding the cloud is great, but putting it into action is another thing.

For most CIOs, putting a cloud strategy on paper is new territory. Cloud computing is taking on new realms: Pure managed services to software-as-a-service (SaaS). Just as legacy computing had different flavors, so does cloud technology.

2. There is more than one way to innovate in the cloud.

Alignment with an open cloud reference architecture can help your CIO deliver on the promises of the cloud while using a stair-step approach to cloud adoption – from on-premise to hybrid to full cloud computing. Some companies find their own path by constantly reevaluating their needs and shifting their focus when necessary – making the move from running a data center to delivering real value to stakeholders, for example.

3. The cloud can help accelerate processes and lower cost.

By recognizing unprecedented growth, your organization can embark on a path to significant transformation that powers greater agility and competitiveness. Choose a solution set that best meets your needs, and implement and support it moving forward. By leveraging the cloud to support the chosen solution, ongoing maintenance, training, and system issues becomes the cloud provider’s responsibility. And for you, this offers the freedom to focus on the core business.

4. You can lock down your infrastructure and ensure more efficient processes.

Do you use a traditional reporting engine against a large relational database to generate a sequential batched report to close your books at quarter’s end? If so, you’re not alone. Sure, a new solution with new technology may be an obvious improvement. But how valuable to your board will you become when you reduce the financial closing process by 1–3 days? That’s the beauty of the cloud: You can accelerate the deployment of your chosen solution and realize ROI quickly – even before the next full reporting period.

5. The cloud opens the door to new opportunity in a secure environment.

For many companies, moving to the cloud may seem impossible due to the time and effort needed to train workers and hire resources with the right skill sets. Plus, if you are a startup in a rural location, it may not be as easy to attract the right talent as it is for your Silicon Valley counterparts. The cloud allows your business to secure your infrastructure as well as recruit and onboard those hard-to-find resources by applying a managed services contract to run your cloud model

The cloud means many things to different people. What’s your path?

With SAP HANA Enterprise Cloud service, you can navigate the best path to building, running, and operating your own cloud when running critical business processes. Find out how SAP HANA Enterprise Cloud can deliver the speed and resources necessary to quickly validate and realize solid ROI.

Check out the video below or visit us at www.sap.com/services-support/svc/in-memory-computing/hana-consulting/enterprise-cloud-services/index.html.

Connect with us on Twitter: @SAPServices

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Michael Haws

About Michael Haws

Michael Haws is the Vice President of HANA Enterprise Cloud at SAP. His specialties include Enterprise Resource Planning Software & Services, Onshore, Nearshore, Offshore--Application, Infrastructure and Business Process Outsourcing.

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Consumers And Providers: Two Halves Of The Hybrid Cloud Equation

Marty McCormick

Long gone are the days of CIOs and IT managers freely spending money to move their 02 Jun 2012 --- Young creatives having lunch and conversation. --- Image by © Hero/Corbisexisting systems to the cloud without any real business justification just to be part of the latest hype. As cloud deployments are becoming more prevalent, IT leaders are now tasked with proving the tangible benefits of adopting a cloud strategy from an operational, efficiency, and cost perspective. At the same time, they must balance their end users’ increasing demand for access to more data from an ever-expanding list of public cloud sources.

Lately, public cloud systems have become part of IT landscapes both in the form of multi-tenant systems, such as software-as-a-service (SaaS) offerings and data consumption applications such as Twitter. Along with the integration of applications and data outside of the corporate domain, new architectures have been spawned, requiring real-time and seamless integration points.  As shown in the figure below, these hybrid clouds – loosely defined as the integration of data from systems in both public and private clouds in a unified fashion – are the foundation of this new IT architecture.

hybridCloudImage

Not only has the hybrid cloud changed a company’s approach to deploying new software, but it has also changed the way software is developed and sold from a provider’s perspective.

The provider perspective: Unifying development and operations

Thanks to the hybrid cloud approach, system administrators and developers are sitting side by side in an agile development model known as Development and Operations (DevOps). By increasing collaboration, communication, innovation, and problem resolution, development teams can closely collaborate with system administrators and provide a continuous feedback loop of both sides of the agile methodology.

For example, operations teams can provide feedback on reported software bugs, software support issues, and new feature requests to development teams in real time. Likewise, development teams develop and test new applications with support and maintainability as a key pillar in design.
After seeing the advantages realized by cloud providers that have embraced this approach long ago, other companies that have traditionally separated these two areas are now adopting the DevOps model.

The consumer perspective: Moving to the cloud on its own terms

From the standpoint of the corporate consumer, hybrid cloud deployments bring a number of advantages to an IT organization. Specifically, the hybrid approach allows companies to move some application functionality to the cloud at their own pace.
Many applications naturally lend themselves to public cloud domains given their application and data requirements. For most companies, HR, indirect procurement, travel, and CRM systems are the first to be deployed in a public cloud. This approach eliminates the requirement for building and operating these applications in house while allowing IT areas to take advantage of new features and technologies much faster.

However, there is one challenge consumers need to overcome: The lack of capabilities needed to extend these applications and meet business requirements when the standard offering is often insufficient. Unfortunately, this tempts organizations to create extensive custom applications that replicate information across a variety of systems to meet end user requirements. This development work can offset the cost benefits of the initial cloud application, especially when you consider the upgrades and support required to maintain the application.

What this all means to everyone involved in the hybrid cloud

Given these two perspectives, on-premise software providers are transforming themselves so they can meet the ever-evolving demands of today’s information consumer. In particular, they are preparing for these unique challenges facing customers and creating a smooth journey to a hybrid cloud.

Take SAP, for example. By adopting a DevOps model to break down a huge internal barrier and allowing tighter collaboration, the company has delivered a simpler approach to hybrid cloud deployments through the SAP HANA Cloud Platform for extending applications and SAP HANA Enterprise Cloud for hosting solutions.

Find out how these two innovations can help you implement a robust and secure hybrid cloud solution:
SAP HANA Cloud Platform
SAP HANA Enterprise Cloud

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Marty McCormick

About Marty McCormick

Marty McCormick is the Lead Technical Architect, Managed Cloud Delivery, at SAP. He is experienced in a wide range of SAP solutions, including SAP Netweaver SAP Portal, SAP CRM, SAP SRM, SAP MDM, SAP BI, and SAP ERP.

How Emotionally Aware Computing Can Bring Happiness to Your Organization

Christopher Koch


Do you feel me?

Just as once-novel voice recognition technology is now a ubiquitous part of human–machine relationships, so too could mood recognition technology (aka “affective computing”) soon pervade digital interactions.

Through the application of machine learning, Big Data inputs, image recognition, sensors, and in some cases robotics, artificially intelligent systems hunt for affective clues: widened eyes, quickened speech, and crossed arms, as well as heart rate or skin changes.




Emotions are big business

The global affective computing market is estimated to grow from just over US$9.3 billion a year in 2015 to more than $42.5 billion by 2020.

Source: “Affective Computing Market 2015 – Technology, Software, Hardware, Vertical, & Regional Forecasts to 2020 for the $42 Billion Industry” (Research and Markets, 2015)

Customer experience is the sweet spot

Forrester found that emotion was the number-one factor in determining customer loyalty in 17 out of the 18 industries it surveyed – far more important than the ease or effectiveness of customers’ interactions with a company.


Source: “You Can’t Afford to Overlook Your Customers’ Emotional Experience” (Forrester, 2015)


Humana gets an emotional clue

Source: “Artificial Intelligence Helps Humana Avoid Call Center Meltdowns” (The Wall Street Journal, October 27, 2016)

Insurer Humana uses artificial intelligence software that can detect conversational cues to guide call-center workers through difficult customer calls. The system recognizes that a steady rise in the pitch of a customer’s voice or instances of agent and customer talking over one another are causes for concern.

The system has led to hard results: Humana says it has seen an 28% improvement in customer satisfaction, a 63% improvement in agent engagement, and a 6% improvement in first-contact resolution.


Spread happiness across the organization

Source: “Happiness and Productivity” (University of Warwick, February 10, 2014)

Employers could monitor employee moods to make organizational adjustments that increase productivity, effectiveness, and satisfaction. Happy employees are around 12% more productive.




Walking on emotional eggshells

Whether customers and employees will be comfortable having their emotions logged and broadcast by companies is an open question. Customers may find some uses of affective computing creepy or, worse, predatory. Be sure to get their permission.


Other limiting factors

The availability of the data required to infer a person’s emotional state is still limited. Further, it can be difficult to capture all the physical cues that may be relevant to an interaction, such as facial expression, tone of voice, or posture.



Get a head start


Discover the data

Companies should determine what inferences about mental states they want the system to make and how accurately those inferences can be made using the inputs available.


Work with IT

Involve IT and engineering groups to figure out the challenges of integrating with existing systems for collecting, assimilating, and analyzing large volumes of emotional data.


Consider the complexity

Some emotions may be more difficult to discern or respond to. Context is also key. An emotionally aware machine would need to respond differently to frustration in a user in an educational setting than to frustration in a user in a vehicle.

 


 

download arrowTo learn more about how affective computing can help your organization, read the feature story Empathy: The Killer App for Artificial Intelligence.


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Christopher Koch

About Christopher Koch

Christopher Koch is the Editorial Director of the SAP Center for Business Insight. He is an experienced publishing professional, researcher, editor, and writer in business, technology, and B2B marketing. Share your thoughts with Chris on Twitter @Ckochster.

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Enterprise Information Management: The Foundational Core Of Digital Transformation Success

Paul Lewis

The definition and implementation of digital transformation has become so muddled that no two organizations are focusing on the same strategies and initiatives. Many companies choose to engage in e-commerce and social media to extend their customer base with engaging, personalized, and round-the-clock shopping experiences. Some eye operational efficiencies through the Internet of Things (IoT) and artificial intelligence. And a growing segment is enticed by game-changing insights from analytics and social sentiments.

No matter the digital strategy, data is the foundation of all of these efforts. The customer experience is about understanding clients and offering services that answer their needs. Decision making requires stored knowledge that can be easily shared, secured, and applied. Operational excellence runs on meaningful insight that drives performance and keeps workers safe.

In digital transformation, every change relies on converting data into actionable decisions. According to Capgemini, companies that act on an enterprise information management (EIM) strategy outperform their rivals by as much as 26%.

The EIM difference in digital transformation

A data point by itself may seem unrelated and inconsequential. But when enterprise data is united and managed as one asset, decision makers finally have trusted, complete, and relevant information they need to seize opportunities and avoid risks that were previously hidden in the background.

One of my clients, Pravine Balkaran, global head of IT at Spin Master, one of the world’s largest toy and media entertainment companies, said it best: “It’s about being able to apply standardization and automation to the entire ecosystem to bring value and move the business forward.”

EIM derives new value by incorporating the traditional functions of data, including business intelligence, data science, analytics, data storage and archiving, data stewardship, and data mobility technology. The more data added, the more valuable the ecosystem becomes – without the complexity commonly experienced when searching for potentially valuable data across a diverse set of existing applications.

By applying EIM to the core of its digital strategy, companies like Spin Master are capturing and coalescing data from a variety of sources and turning it into actionable information to drive better decision making, innovate new products, enter new markets, and encourage a more responsive customer experience.

The EIM road map towards rapid creation of new value

Now for the hard part: Putting EIM into action and at the center of your digital transformation business strategy. There are five things you should do now before moving to a more digitalized and data-driven way of doing business.

1. Inventory available information

Most companies believe that their data resides in core databases and a data model of known entities such as claims, transactions, vendors, and suppliers. Although this is a widely used approach to determining the class of your information, it is only a small part of what you actually own. Structured, unstructured, and semi-structured data; log files; conversations; customer sentiment; and real-time information from suppliers and vendors, for example, should be integrated as part of the overall EIM philosophy.

2. Classify your inventory

Data typically can be classified with one or more of these six attributes:

  • Real-time, streaming data, which potentially comes from machines
  • Static data from production databases
  • Valuable data in real time once stored
  • Realizes value over time and as it changes
  • Relevant to a particular government mandate or legislative concern
  • Objective and relative importance to divisions of the overall enterprise, including customers and the business network

With this exercise, you can begin to understand the function that each data point serves and its usefulness in the future.

3. Encourage the business culture to appreciate the value of discovery

Data-driven decision making is not based on blind faith that data always tells the right story. Rather, it is asking the right questions, and knowing how to dig deep into the data helps us make the connections we need to get an accurate picture of the current situation. Once you discover those nuggets of insight gold, data science and advanced analytics can be applied to pinpoint the appropriate solution. Later, you can leverage data visualization tools to communicate findings and proposed action in a format that is quick and easy for all levels of the enterprise to consume.

4. Shift your focus from yesterday to today and beyond

Traditionally, data analysis is an exercise of looking backward to determine the how, what, when, and why an event happened. However, the pace of change in every aspect of the business has accelerated so much, that it’s rendered this retrospective approach to analytics nearly useless. Real-time access to data allows decision makers to know what’s happening in the moment and how it will impact the future to seize opportunities and mitigate risks.

The path to digital transformation is paved with data

The volume of data generated by people across the entire business network – from employee to consumer and everyone in between – represents a veritable trove of information, insights, and inspiration for innovation. But first, companies need to know where to find this data and how to best apply it to everyday decision making. With EIM, data can be broken down and reassembled into a manageable form that is meaningful, outcome-driven, and transformational.

Learn more about how to uncover Data – The Hidden Treasure Inside Your Business.

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Paul Lewis

About Paul Lewis

Paul Lewis is the Chief Technology Officer in Hitachi for the Americas, responsible for the leading technology trend mastery and evangelism, client executive advocacy, and external delivery of the Hitachi vision and strategy especially related to digital transformation and social innovation. Additionally, Paul contributes to field enablement of data intelligence and analytics; interprets and translates complex technology trends including cloud, mobility, governance, and information management; and represents the Americas region in the Global Technology Office, the Hitachi LTD R&D division. In his role of trusted advisor to the CIO community, Paul’s explicit goal is to ensure clients’ problems are solved and opportunities realized. Paul can be found at his blog, on Twitter, and on LinkedIn.