Welcome!

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

Related Topics: @CloudExpo, Microservices Expo, Microsoft Cloud, Containers Expo Blog, Machine Learning , @DXWorldExpo, SDN Journal

@CloudExpo: Blog Feed Post

Dear Apps, Why Can We Not Just All Get Along?

Ecosystem could be "the word" of 2013

Ecosystem could be "the word" of 2013, if only vendors, providers, ISVs and other technology conglomerates stop acting in a "This Town ain't big enough for the both of us" way.

As an App user* I am increasingly amazed, affected and annoyed by what in my view can only be described as turf wars between various technology providers. Increasingly cooperation - that originated by a desire to have a quick time to market - is being replaced by outright competition driven by a desire to own the full stack. Some recent examples:

  • Phone manufacturers replacing perfectly good map applications with in-house brews*
  • Search engines wanting to become social networks*
  • Social networks* and web retailers* wanting to become advertising specialists
  • Photo filtering apps opting out of 140 char event timelines* and v.v. event timeline apps adding photo filtering*
  • Email providers abandoning the use of third party sync to enterprise messaging apps*
  • Providers replacing third party music and movie services with in-house variants limited to their stack*
  • Just about everyone adding their own inline chat and messaging functionality*
  • Not to mention the various patent wars companies are waging, trying to block each other out of their home markets*

Now I am not against healthy competition (on the contrary) but as a consumer I fail to see how these developments are benefiting me. It seems many companies are answering the markets desire for integration by forcing consumers into their own, closed, single stack shops.

With cloud computing rapidly breaking down the walls between traditional industry segments, times are confusing for providers. Where we used to buy hardware and software form different vendors and solicited help - to get these two to work together - from yet a third category of providers, these demarcation lines are now rapidly blurring. Hardware and software are merging into services, while at the same time we see phones behaving like camera's, tablets behaving like PCs and TVs behaving like tablets. Naturally companies are worried about where in that blurring supply chain the largest profits will fall and as a result everyone seems determined to own the whole chain, wall to wall and soup to nuts.

But increasingly the limiting factor in market success is no longer the ability of providers to supply functionality, it is the capability of consumers to absorb functionality. Aan - at least at my age - once I mastered the science how to color my pictures, how to create a playlist, how to interact socially, how to access my email, etc., etc., I just want to be able to continue to do so, but in a seamlessly integrated fashion. I don't want to replace it with a new app, that does virtually the same, but in a different way.

Just a couple of years ago there was a lot of talk and enthusiasm about "Open Innovation", where companies could make the market pie bigger by working together (instead of fighting over who got what piece of the existing pie). To some extend it is the old "single vendor" versus "best of breed" dilemma, do I concentrate on having a good enough homogeneous product that does it all, or do I focus on building the best product for my functional area and work/integrate closely with others (at the risk their area turns out to be more profitable (in market speak: has a better business model)). In other words do I go integrated/closed/proprietary or more interoperable/open/standard.

My believe (or at least my hope) is that companies that act more from the perspective of consumers/customers, than from their own financial/shareholder perspective, will eventually come out better. Note however that in this context it is very important to understand exactly who the customer is: is it the user buying access to the service or the advertiser buying access to the user (in which case the user is merely the product being sold). If the app economy is to continue to grow, it will need to increasingly address the primary customer (the users). And if (granted, a big if) the market is a bit like me , it will prefer ecosystems of leading open apps over fully integrated closed stacks.

Traditionally, before the current trend towards exclusion instead of collaboration took hold, the silicon valley pressure cooker was the center of such collaboration. Maybe Europe - being a collaborative environment by nature - can step into its place and use this as much needed differentiator against the increasingly mega-large, mega-integrated and mega-closed conglomerates from Asia and North America.

More Stories By Gregor Petri

Gregor Petri is a regular expert or keynote speaker at industry events throughout Europe and wrote the cloud primer “Shedding Light on Cloud Computing”. He was also a columnist at ITSM Portal, contributing author to the Dutch “Over Cloud Computing” book, member of the Computable expert panel and his LeanITmanager blog is syndicated across many sites worldwide. Gregor was named by Cloud Computing Journal as one of The Top 100 Bloggers on Cloud Computing.

Follow him on Twitter @GregorPetri or read his blog at blog.gregorpetri.com

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...