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Customized, Intelligent, Vertical Applications – the Future of Big Data?
What if there was an easy and automated way to define new data sources, create new algorithms

Lets assume that your entire organization had access to the following building blocks:

  • Data: All sources of data from the enterprise (at rest and in motion)
  • Analytics: Queries, Algorithms, Machine Learning Models
  • Application Business Logic: Domain specific use-cases / business problems
  • Actionable Insights: Knowledge of how to apply analytics against data through the use of application business logic to produce a positive impact to the business
  • Infrastructure Configuration: High scalable, distributed, enterprise-class infrastructure capable of combining data, analytics, with app logic to produce actionable insights

Imagine if your entire organization was empowered to produce data-driven applications tailored specifically for your vertical use-cases?

Data-Driven Vertical Apps

You are a regional bank who is under heavier regulation, focused on risk management, and expanding your mobile offerings. You are seeking ways to get ahead of your competition through the use of Big Data by optimizing financial decisions and yields.

What if there was an easy and automated way to define new data sources, create new algorithms, apply these to gain better insight into your risk position, and ultimately operationalize all this by improving your ability to reject and accept loans?

You are a retailer who is being affected by the economic downturn, demographic shifts, and new competition from online sources. You are seeking ways of leveraging the fact that your customers are empowered by mobile and social by transforming the shopping experience through the use of Big Data.

What if there was an easy and automated way to capture all customer touch points, create new segmentation and customer experience analytics, apply these to create a customized cross-channel solution which integrates online shopping with social media, personalized promotions, and relevant content?

You are a fixed line operator, wireless network provider, or fixed broadband provider who is in the middle of convergence of both services and networks, and feeling price pressures of existing services. You are seeking ways to leverage cloud and Big Data to create smarter networks (autonomous and self-analyzing), smarter operations (improving working efficiency and capacity of day-to-day operations), and ways to leverage subscriber demographic data to create new data products and services to partners.

What if there was an easy and automated way to start by consuming additional data across the organization, deploy segmentation analytics to better target customers and increase ARPU?

It Starts With The "Infrastructure Recipe"

Ok. You are a member of the application development team. All you have to do is create a data driven application "deploy package". It's your recipe of what data sources, analytics, and application logic needed to insert into this magical cloud service which produces your industry and use-case specific application. You don't need to be an analytics expert; you don't need to be a DBA; an ETL expert; let alone a Big Data technologist. All you need is a clear understanding of your business problem and you can assemble the parts through a simple-to-use "recipe" which is abstracted from the details of the infrastructure used to execute on that recipe.

Any Data Source

Imagine an environment where your enterprise data is at your fingertips. No heavy ETL tools, no database exports, no Hadoop flume or sqoop jobs. Access to data is as simple as defining "nouns" in a sentence. Where your data lives is not a worry. You are equipped with the magic ability to simply define what the data source is and where it lives and accessing it is automated. You also care less whether the data is some large historic volume living in a relational database or whether it is real-time streaming event data.

Analytics Made Easy

Imagine a world where you can pick from literally thousands of algorithms and apply them to any of the above data sources in part or in combination. You create one algorithm and can apply it to years of historic data and/or a stream of live real-time data.  Also, imagine a world where configuring your data in a format that your algorithms can consume is made  seamless. Lastly, your algorithms execute on infrastructure in a parallel, distributed, highly scalable way. Getting excited yet?

Focus on Applications With Actionable Insights

Now lets embody this combination of analytics and data in a way that can actually be consumed and acted upon. Imagine a world where you can produce your insights and report on them with your BI tool of choice. That's kind of exciting.

But what's even more exciting is the ability to deploy your insights operationally through an application which leverages your domain expertise and understanding of the business logic associated with the targeted use-case you are solving against. Translation - you can code up a Java, Python, PHP, or Ruby application which is light, simple, and easy to build/maintain. Why? Because the underlying logic normally embedded in ETL tools, separate analytics software tools, MapReduce code, NoSQL queries, and stream processing logic is pushed up into the hands of application developer. Drooling yet? Wait, it gets better.

Big Data, Cloud, and The Enterprise

Lets take this entire programming paradigm and automate it within an elastic cloud service purpose built for the organization with the ability to submit your application "deploy packages" to be instantly processed without having to understand the compute infrastructure and, better yet, without having to understand the underlying data analytic services required to process your various data sources in real-time, near real-time, or in batch modes.

Ok...if we had such an environment, we'd all be producing a ton of next-generation applications.....data-driven, highly intelligent, and specific to our industry and use-cases.

I'm ready...are you?

Read the original blog entry...

About Jim Kaskade
Jim Kaskade is Vice President and General Manager, Big Data & Analytics, at CSC. Prior to that he was CEO of Infochimps. Before that he served as SVP and General Manager at SIOS Technology, a publicly traded firm in Japan, where he led a business unit focused on developing private cloud Platform as a Service targeted for Fortune 500 enterprises. He has been heavily involved in all aspects of cloud, meeting with prominent CIOs, CISOs, datacenter architects of Fortune 100 companies to better understand their cloud computing needs. He also has hands-on cloud domain knowledge from his experience as founder and CEO of a SaaS company, which secured the digital media assets of over 10,000 businesses including Fortune 100 customers such as Lucasfilm, the NBA, Sony BMG, News Corp, Viacom, and IAC. Kaskade is also one of the Top 100 bloggers on Cloud Computing selected by the Cloud Computing Journal.

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Cloud Expo - Cloud Looms Large on SYS-CON.TV


Cloud Expo 2013 East Opening Keynote by IBM
In this Cloud Expo Keynote, Danny Sabbah, CTO & General Manager, Next Generation Platform, will detail the critical architectural considerations and success factors organizations must internalize to successfully implement, optimize and innovate using next generation architectures.
Lisa Larson, Vice President of Enterprise Cloud Solutions of Rackspace Hosting Live From New York City
In the old world of IT, if you didn't have hardware capacity or the budget to buy more, your project was dead in the water. Budget constraints can leave some of the best, most creative and most ingenious innovations on the cutting room floor. It's a true dilemma for developers and innovators – why spend the time creating, when a project could be abandoned in a blink? That was the old world. In the new world of IT, developers rule. They have access to resources they can spin up instantly. A hybrid cloud ignites innovation and empowers developers to focus on what they need. A hybrid cloud blends the best of all worlds, public cloud, private cloud and dedicated servers to fit the needs of developers and offer the ideal environment for each app and workload without the constraints of a one-size-fits-all cloud.

Keynote: Driving Cloud Innovation: SSDs Change Cloud Storage Paradigm
Cloud is a transformational shift in computing that can have a powerful effect on enterprise IT when designed correctly and used to its full potential. Join Citrix in a discussion that centers on building, connecting and empowering users with cloud services and hear examples of how enterprises are solving real-world business challenges with an architecture and solution purpose-built for the cloud.

Go Beyond IaaS to Deliver "Anything As a Service"
Many organizations want to expand upon the IaaS foundation to deliver cloud services in all forms—software, mobility, infrastructure and IT. Understanding the strategy, planning process and tools for this transformation will help catalyze changes in the way the business operates and deliver real value. Join us to learn about the new ITaaS model and how to begin the transformation.


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The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential. The DevOps Summit at Cloud Expo – to be held June 3-5, 2015, at the Javits Center in New York City – will expand the DevOps community, enable a wide...
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New York City Expo Floor Plan Revealed
Cloud Expo New York
[June 11-14, 2012]

Floor Plan Revealed


Introducing Big Data Expo
Introducing
There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Get a jump on that rapidly evolving trend at Big Data Expo, which we are introducing in June at
Cloud Expo New York.

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Testimonials
Cloud Expo was a fantastic event for CSS Corp - we easily exceeded our objectives for engaging with clients and prospects."
AHMAR ABBAS
SVP, Global Infrastructure Management, CSS Corp.
 
With our launch at Cloud Expo, we successfully transformed the company from a relatively unknown European player into the dominant player in the market. Our competitors were taken by surprise and just blown away. We got a huge number of really high quality leads..."
PETE MALCOLM
CEO, Abiquo
 
We were extremely pleased with Cloud Expo this year - I’d say it exceeded expectations all around. This is the same info we got from partners who attended as well. Nice job!"
MARY BASS
Director of Marketing, UnivaUD
 
Cloud Expo helps focus the debate on the critical issues at hand in effect connecting main street with the next frontier."

GREG O’CONNOR
President & CEO, Appzero


Who Should Attend?
Senior Technologists including CIOs, CTOs, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, communications and networking specialists, directors of infrastructure Business Executives including CEOs, CMOs, CIOs, presidents, VPs, directors, business development; product and purchasing managers.


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@CloudExpo Blogs
Virtualization is everywhere. Enormous and highly profitable companies have been built on nothing but virtualization. And nowhere has virtualization made more of an impact than in Cloud Computing, the rampant and unprecedented adoption of which has been the direct result of the wide availability of virtualization software and techniques that enabled it. But does the cloud actually require virtualization?
There’s a lot of discussion around managing outages in production via the likes of DevOps principles and the corresponding software development lifecycles that does enable higher quality output from development, however, one cannot lay all blame for “bugs” and failures at the feet of those responsible for coding and development. As developers incorporate features and benefits of these paradigm shift, there is a learning curve and a point of not-knowing-what-is-not-known. Sometimes, the only way to learn is to actually put code into production and monitor its performance and actions.
The last decade was about virtual machines, but the next one is about containers. Containers enable a service to run on any host at any time. Traditional tools are starting to show cracks because they were not designed for this level of application portability. Now is the time to look at new ways to deploy and manage applications at scale. In his session at 16th Cloud Expo, Jake Moshenko, Product Manager at CoreOS, will examine how CoreOS + Quay.io fit into the development lifecycle from pushing git changes all the way through to running in production. Attendees will understand how different ...
I’ve been thinking a bit about microservices (μServices) recently. My immediate reaction is to think: “Isn’t this just yet another new term for the same stuff, Web Services->SOA->APIs->Microservices?” Followed shortly by the thought, “well yes it is, but there are some important differences/distinguishing factors.” Microservices is an evolutionary paradigm born out of the need for simplicity (i.e., get away from the ESB) and alignment with agile (think DevOps) and scalable (think Containerization) development and deployment architectures. Martin Fowler and James Lewis defined nine core charac...
Right off the bat, Newman advises that we should "think of microservices as a specific approach for SOA in the same way that XP or Scrum are specific approaches for Agile Software development". These analogies are very interesting because my expectation was that microservices is a pattern. So I might infer that microservices is a set of process techniques as opposed to an architectural approach. Yet in the book, Newman clearly includes some elements of concept model and architecture as well as process and organization.
How can you compare one technology or tool to its competitors? Usually, there is no objective comparison available. So how do you know which is better? Eclipse or IntelliJ IDEA? Java EE or Spring? C# or Java? All you can usually find is a holy war and biased comparisons on vendor sites. But luckily, sometimes, you can find a fair comparison. How does this come to be? By having it co-authored by the stakeholders. The binary repository comparison matrix is one of those rare resources. It is edited by JFrog, Sonatype and Archiva committers to provide you with an objective picture; every vendor a...
SAP is delivering break-through innovation combined with fantastic user experience powered by the market-leading in-memory technology, SAP HANA. In his General Session at 15th Cloud Expo, Thorsten Leiduck, VP ISVs & Digital Commerce, SAP, discussed how SAP and partners provide cloud and hybrid cloud solutions as well as real-time Big Data offerings that help companies of all sizes and industries run better. SAP launched an application challenge to award the most innovative SAP HANA and SAP HANA Cloud platforms applications. Out of many contenders, the best applications have been selected by m...
There is no question that the cloud is where businesses want to host data. Until recently hypervisor virtualization was the most widely used method in cloud computing. Recently virtual containers have been gaining in popularity, and for good reason. In the debate between virtual machines and containers, the latter have been seen as the new kid on the block – and like other emerging technology have had some initial shortcomings. However, the container space has evolved drastically since coming onto the cloud hosting scene over 10 years ago. So, what has changed? In his session at 16th Cloud E...
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential. The DevOps Summit at Cloud Expo – to be held June 3-5, 2015, at the Javits Center in New York City – will expand the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike. Recent research has sho...
The launch of the Shopify IPO on the NYSE is a leap forward and a testimony tothe high quality of the Canadian technology sector. In its first trading day, Shopify was oversubscribed by 51% As a solution-focused company, for us it’s a day of pride and tribulations to see a fellow technology company launching a successful IPO on one of the world’s greatest trading desks, Shopify, that started with humble beginnings, is one of the latest IPO’s to hit the market that is both tech, and Canadian. As a Canadian company Shopifys IPO success is a testimony to Canada being a breeding ground for world-...
The cloud computing infrastructure and platform market is expected to be a $43 billion market by 2018 and account for 11% of enterprise IT spending. At this point in the war we can say that AWS is the winner of the cloud infrastructure market segment only. The platform market (and what I believe is the more lucrative segment) is still up for grabs. The recent revenue announcement by AWS demonstrates what they mean for the industry and their focus on cloud since the beginning has given AWS leadership status. Microsoft and Google, of course, have been working hard, albeit lagging, in the battle ...
DoubleDown Interactive, a provider of online free-to-play casino games, needs to process huge amounts of streaming event data from their games and make that data rapidly available to data scientists and analysts. Hear how Amazon S3 and Snowflake’s Elastic Data Warehouse have made it possible for DoubleDown to deploy a reliable, scalable data architecture for their analytics needs. You’ll learn how Amazon S3 and Snowflake technology help address key challenges in building data pipelines and processing data and how DoubleDown combines Amazon Kinesis, S3, and Snowflake to ingest, store, and proc...
Mobile, social, Big Data, and cloud have fundamentally changed the way we live. “Anytime, anywhere” access to data and information is no longer a luxury; it’s a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver meaningful services to the business and customers. New tools, technologies, and frameworks have evolved recently to help manage rapid shifts in the technology landscape, but they’re only as good as the underlying processes that exist within the organization. As lines of business change or add requiremen...
It was recently revealed that Linux-powered drones were released which has unveiled a new frontier for open source software. Drone control, once limited to proprietary software, has now entered the open source realm. This opens up new possibilities of more flexible platforms for many Internet-connected objects as well as sparking conversation among the open source community about its potential relationship with the Internet of Things (IoT). Open source software has allowed drone builders and programmers to create a platform using a free open source software development kit. In some cases, i...
In “Thinking Like a Data Scientist – Part I”, we examined the challenges for getting the business users to think like data scientists when contemplating where and how to leverage big data to drive business value. We introduced a “Thinking Like a Data Scientist” process that starts with identifying and understanding the organization’s top-level strategic business initiatives, then uses a “Strategic Nouns” technique to create potential business questions that were descriptive, predictive or in nature.
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Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

Pereyra
Oracle

Ryan
OpSource

Butte
PwC

Leone
Oracle

Riley
AWS

Varia
AWS

Lye
Oracle

O'Connor
AppZero

Crandell
RightScale

Nucci
Dell Boomi

Hillier
CiRBA

Morrison
Layer 7 Tech

Robbins
NYT

Schwarz
Oracle

What The Enterprise IT World Says About Cloud Expo
 
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Sr. Director, Marketing & Strategic Alliances
Navisite
 


 
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Chief Scientist
Univa UD
 


 
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CTO
Citrix Systems
 


 
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CTO
Brick Group