Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

Related Topics: @CloudExpo, Java IoT, Mobile IoT, Microservices Expo, Containers Expo Blog, @DXWorldExpo

@CloudExpo: Article

Technology, Innovation and Futile Feats

Contemporary innovations are happening all around us

During a recent conversation with a CIO of a multi-billion dollar enterprise and his top executives, it became apparent that amid all the new technology advancements like cloud computing and Big Data, organizations are struggling to seek the concrete advantages in applying these technologies to their own real-world scenarios. Even more worrisome is the situation that occurs when an organization cannot leverage any of the already-proven solution approaches or services to address a specific problem or a concern and the situation remains unresolved over time.

These issues could very well be rooted in the way an organization goes about solving problems. Or they can reflect the inability of their service provider and technology vendor to identify the need for change and the implementation of the right solution.

Both of these issues lead to the same common and even bigger issue - an inability to map real-life organizational problems with the application of the right technology that will help factorize these issues distinctively. A greater concern is the possibility that the technology vendor or the partner you are counting on could still be using old methods to support you and is just "milking" the situation.

Situations like these are in clear contrast to the many technology innovations and evolutions occurring all around us. With the overall continual progress in new technology, day by day we should be seeing new ways and possibilities of technology being applied to organizations. But, taking cues from the above example, this may not really be happening, which in effect causes a dent - a depression into the natural benefit cycle of technology evolution. This in turn means that their ability to innovate - meaning ‘going beyond just applying the new technologies' - will be yet a distant dream unless organizations know or at least their partners know and understand what these advancements really mean and can advise how to apply these intelligently.

It's quite possible that in some corner of the organization, a particular group may see success in one or another technology-led initiative. However, to ensure that these feats are not one offs or not futile in the future, adoptions of new technologies like cloud computing, Big Data, mobility and social collaboration in an enterprise or an ISV environment must be aligned to well-crafted strategies. Only after getting these strategies right can an organizational innovation process move ahead successfully and in such a way as to avoid many frustrations.

(Enterprises as well as ISVs that need help in identifying these strategies, can take a look at PersisTrends, a report that provides additional and new technology area specific recommendations.)

With the right strategies in place, CIO teams can drive specific projects that help realize and enforce a brand new vision. Of course, organizations may look up to their technology partners to define the innovation model through org-specific and well-articulated projects.

These projects should be targeted to solve particular problems and have the ability to show measured value over time. This puts the onus on technology partners and service vendors to leverage existing assets and also not be blind to the present reality or future changes. As long as these projects are designed in such a way as to benefit both the business side and the cost side of the equation, they will bring more maturity and stability to the innovation process - and organizational feats won't be an exercise in futility anymore.

To illustrate the new technology benefit cycle, let's imagine new technology evolutions and experimentation on the left side of a chart; and ‘real feats' on the right side, while ‘possible organizational innovations' dangle in the middle. Whether you are on the receiving side (enterprise or an ISV) or on the provider side (service vendor or technology partner) - from the perspective of your current approach it's indeed worth evaluating where you will end up drawing the circle between the two dimensions in the illustration above.

More Stories By Jiten Patil

Jiten Patil is Principal Technology Consultant & Cloud Expert, CTO Office, at Persistent Systems Limited, a global leader in software product development and services. He has 15 years of industry experience and has spent the past 6 years working with cloud service providers, ISVs and enterprises in the field of SaaS, IaaS, PaaS and hybrid cloud computing solutions. His key expertise is in guiding organizations for cloud strategy and roadmap, solution architecting for public & private application services, platform services, multi-tenancy methodologies, application enablement and migration, devising new cloud solutions, tools and IP products, and doing competitive assessment across cloud technologies. He can be reached at [email protected] / Twitter @jiten_patil

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...