Welcome!

Government Cloud Authors: Yeshim Deniz, Elizabeth White, Pat Romanski, Dana Gardner, Liz McMillan

Related Topics: @CloudExpo

@CloudExpo: Article

Are Enterprises Ready for Cloud Computing?

How I Learned to Stop Worrying and Love the Cloud

Barry Lynn's Blog

There have been multiple white papers and articles written by analysts - Is Cloud Computing Ready for the Enterprise? The question is asked so many times now - Is Cloud Computing ready for the enterprise? So, I have to ask - Is the enterprise ready for Cloud Computing? I’ll start this discourse with a few PC and sincere comments (the two are not mutually exclusive unless one is running for political office).

First, I love Corporate CIOs and IT managers (not in a romantic way, of course, but with great admiration).

Second, they have the most difficult jobs in the corporate universe. They are the brains and the central nervous systems of large enterprises. They are also the most taken for granted of all executives. They represent cost centers who get no credit for their corporations’ profits, while keeping the corporation alive. If they achieve 99.99% availability of their services, an iota of kudos is given for that 99.99%, but a mountain of wrath is doled out for the other 0.01%.

Finally, I spent 27 of my 37 year career in information technology as an enterprise IT manager and Fortune 500 CIO. You guys and gals are my comrades.

So, why do I feel the need to put my comrades on a pedestal? Well, it started with some comments I made at a Wall Street conference and variations of it that I made to members of the technical press and analyst community. I used the following analogy.

If you woke up in the morning and read in the Wall Street Journal that an eCommerce company like Overstock.com had stopped using the USPS, UPS, FedEx, DHL, etc. to deliver their goods and, instead, leased airport hubs all over the world, bought a fleet of jets and bought thousands of trucks and started delivering the stuff themselves, you’d think they were out of their minds. So, why is is not equally insane for financial services companies, health care institutions, manufacturing companies, bio-tech companies, pharmaceutical giants, etc. to be spending a billion dollars or much more each year on information technology infrastructure?

Well, that analogy has prompted several to accuse me of thinking that corporations are insane and corporate IT managers and CIOs are stupid. I assure you that it not the case.

Then what do I do? I really put my foot in my mouth. I title this treatise “Are Enterprises Ready for Cloud Computing?”, as if to arrogantly proclaim that we are ready but enterprises are not.

But there is expiation for that as well (and I am not running for office, so this is a thought embellishment rather than flip flop).

Intellectually, of course you are ready. Of course you have the experience and skill to adopt Cloud Computing. And most of you have the resources. Most significantly, you have always risen to the occasion when disruptive technologies have been thrust upon you.

But, practically speaking, whether you, I or anyone thinks that the future holds a world where all enterprises will get computing on demand and only pay for what they consume, we know that this will not happen over night. I do see a world, though, in six or seven years, where this will be very much the norm and corporations owning datacenters will be the exception to the rule.

So, here’s where the Darwinian Theory of the Corporate Datacenter comes to play.

I have said many times that Cloud Computing is the most disruptive technology that has come along in a very long time. Respected technology analysts say it will be bigger than e-Business and it’s potentially a quarter of a trillion dollar market (that’s almost enough to fund a fraction of a war!). So, people ask me - Do you think Cloud Computing is a revolution or an evolution?

My answer is a resounding “Both”.

I believe that all evolutionary change starts with revolutionary change. In Darwin’s Origin of the Species evolutionary changes start with a mutation. Those mutations are the revolutions that result in evolution. In most cases the mutation comes about as a mechanism to heighten the chance of survival - you know, to make the species more fit. Subsequent to those revolutions, the evolutionary process gradually occurs as the most fit survive and the mutation becomes the norm - the standard.

More Stories By Barry X Lynn

Barry X Lynn is Chairman and CEO of 3Tera, Inc. He has a storied career in data center innovation and a deep understanding of enterprise customers and applications. He has over 37 years of executive experience in the IT and financial services sectors in Fortune 100 companies and as an entrepreneur. Early in his career, he was with Wells Fargo, where he was executive vice president and head of Investment Operations before becoming chief information officer (CIO) of Wells Fargo and Company and president of Wells Fargo Technology Services. In 1995, while at Wells Fargo, he built the world's first Internet online banking system. He was also president of Wells Fargo Securities Clearance Corp. and founder and president of Wells Fargo Securities, Inc. Prior to 3Tera Lynn founded Be eXceL management, Inc., a management consulting firm, which incubated early stage technology companies. Additionally he's a general partner of SVP II, a fully invested venture fund managed by Shoreline Venture Management LLC, and is a frequent speaker at IT events in US and internationally.

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
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
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...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
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.